From 57f643ab543fa190baead4dc70cf956c0356d807 Mon Sep 17 00:00:00 2001
From: ahmadsharif1 <ahmads@fb.com>
Date: Wed, 24 Apr 2024 13:40:36 -0500
Subject: [PATCH] auto-generating sphinx docs

---
 2.3                                           |   1 +
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 main/generated/torchaudio.transforms.Vol.html |   6 +-
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 main/generated/torio.utils.ffmpeg_utils.html  |   4 +-
 main/genindex.html                            |   4 +-
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 main/installation.html                        |   4 +-
 main/io.html                                  |   4 +-
 main/kaldi_io.html                            |  16 +-
 main/libtorio.html                            |   4 +-
 main/libtorio.stream_reader.html              |   4 +-
 main/libtorio.stream_writer.html              |   4 +-
 main/logo.html                                |   4 +-
 main/models.decoder.html                      |   4 +-
 main/models.html                              |   4 +-
 main/objects.inv                              | Bin 47029 -> 47029 bytes
 main/pipelines.html                           |   4 +-
 main/prototype.datasets.html                  |   4 +-
 main/prototype.functional.html                |   4 +-
 main/prototype.html                           |   4 +-
 main/prototype.models.html                    |   4 +-
 main/prototype.pipelines.html                 |   4 +-
 main/prototype.transforms.html                |   4 +-
 main/py-modindex.html                         |   4 +-
 main/references.html                          |   4 +-
 main/search.html                              |   4 +-
 main/searchindex.js                           |   2 +-
 main/sox_effects.html                         |   4 +-
 main/supported_features.html                  |   4 +-
 main/torchaudio.html                          |   4 +-
 main/torio.html                               |   4 +-
 main/torio.io.html                            |   4 +-
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 main/tutorials/audio_datasets_tutorial.html   |  19 +-
 .../audio_feature_augmentation_tutorial.html  |  10 +-
 .../audio_feature_extractions_tutorial.html   |  10 +-
 main/tutorials/audio_io_tutorial.html         |  22 +-
 main/tutorials/audio_resampling_tutorial.html |  44 +-
 .../ctc_forced_alignment_api_tutorial.html    | 124 ++--
 main/tutorials/device_asr.html                |   4 +-
 main/tutorials/device_avsr.html               |   4 +-
 main/tutorials/effector_tutorial.html         |  18 +-
 main/tutorials/filter_design_tutorial.html    |  10 +-
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 main/tutorials/forced_alignment_tutorial.html |  12 +-
 main/tutorials/hybrid_demucs_tutorial.html    |  81 +--
 main/tutorials/mvdr_tutorial.html             |  14 +-
 main/tutorials/nvdec_tutorial.html            |  79 ++-
 main/tutorials/nvenc_tutorial.html            |  42 +-
 main/tutorials/online_asr_tutorial.html       |  53 +-
 main/tutorials/oscillator_tutorial.html       |  12 +-
 main/tutorials/sg_execution_times.html        |  98 +--
 .../speech_recognition_pipeline_tutorial.html |  45 +-
 main/tutorials/squim_tutorial.html            |  81 ++-
 .../streamreader_advanced_tutorial.html       |  10 +-
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 main/tutorials/streamwriter_advanced.html     |   4 +-
 .../streamwriter_basic_tutorial.html          |  14 +-
 .../subtractive_synthesis_tutorial.html       |  10 +-
 .../tacotron2_pipeline_tutorial.html          | 171 +++---
 main/utils.html                               |   4 +-
 stable                                        |   2 +-
 versions.html                                 |   5 +-
 461 files changed, 2145 insertions(+), 2391 deletions(-)
 create mode 120000 2.3

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diff --git a/main/_images/sphx_glr_nvenc_tutorial_thumb.png b/main/_images/sphx_glr_nvenc_tutorial_thumb.png
index d7fe32e7562705993e8fc1180b0dab8b969d27ea..258f3f5aba33ba06ff5588eeab839f1bda992db7 100644
GIT binary patch
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index f56c7a6ff70..af0f0e1cd5b 100644
--- a/main/_modules/torchaudio/utils/sox_utils.html
+++ b/main/_modules/torchaudio/utils/sox_utils.html
@@ -9,7 +9,7 @@
   
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.utils.sox_utils &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.utils.sox_utils &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -221,7 +221,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/_modules/torio/io/_streaming_media_decoder.html b/main/_modules/torio/io/_streaming_media_decoder.html
index 262fc2f4d38..a1cabf28c61 100644
--- a/main/_modules/torio/io/_streaming_media_decoder.html
+++ b/main/_modules/torio/io/_streaming_media_decoder.html
@@ -9,7 +9,7 @@
   
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torio.io._streaming_media_decoder &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torio.io._streaming_media_decoder &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -221,7 +221,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/_modules/torio/io/_streaming_media_encoder.html b/main/_modules/torio/io/_streaming_media_encoder.html
index 6faa874f9cc..bfe1c6c669a 100644
--- a/main/_modules/torio/io/_streaming_media_encoder.html
+++ b/main/_modules/torio/io/_streaming_media_encoder.html
@@ -9,7 +9,7 @@
   
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torio.io._streaming_media_encoder &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torio.io._streaming_media_encoder &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -221,7 +221,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/_modules/torio/utils/ffmpeg_utils.html b/main/_modules/torio/utils/ffmpeg_utils.html
index 32177980b94..3f90dedb282 100644
--- a/main/_modules/torio/utils/ffmpeg_utils.html
+++ b/main/_modules/torio/utils/ffmpeg_utils.html
@@ -9,7 +9,7 @@
   
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torio.utils.ffmpeg_utils &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torio.utils.ffmpeg_utils &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -221,7 +221,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/_sources/tutorials/additive_synthesis_tutorial.rst.txt b/main/_sources/tutorials/additive_synthesis_tutorial.rst.txt
index 48d96fdd76b..da6ae90f5b4 100644
--- a/main/_sources/tutorials/additive_synthesis_tutorial.rst.txt
+++ b/main/_sources/tutorials/additive_synthesis_tutorial.rst.txt
@@ -58,8 +58,8 @@ Subtractive synthesis creates timbre by applying filters.
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -626,7 +626,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  4.864 seconds)
+   **Total running time of the script:** ( 0 minutes  4.856 seconds)
 
 
 .. _sphx_glr_download_tutorials_additive_synthesis_tutorial.py:
diff --git a/main/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt b/main/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt
index bd21517ea44..22d41999a92 100644
--- a/main/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt
+++ b/main/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt
@@ -86,8 +86,8 @@ working with
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -141,7 +141,7 @@ tutorial <./speech_recognition_pipeline_tutorial.html>`__.
  .. code-block:: none
 
     Downloading: "https://download.pytorch.org/torchaudio/models/wav2vec2_fairseq_base_ls960_asr_ll10m.pth" to /root/.cache/torch/hub/checkpoints/wav2vec2_fairseq_base_ls960_asr_ll10m.pth
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+
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@@ -406,9 +406,9 @@ model can be large
 
  .. code-block:: none
 
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     PretrainedFiles(lexicon='/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/lexicon.txt', tokens='/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/tokens.txt', lm='/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/lm.bin')
 
 
@@ -955,9 +955,9 @@ computation time.
  .. code-block:: none
 
     beam size 1  : i you ery much afra of shongut shot i was at some arte what he sad (score: 3144.93; 0.0444 secs)
-    beam size 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3688.02; 0.0513 secs)
-    beam size 50 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.1642 secs)
-    beam size 500: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.5334 secs)
+    beam size 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3688.02; 0.0514 secs)
+    beam size 50 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.1633 secs)
+    beam size 500: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.5323 secs)
 
 
 
@@ -1002,10 +1002,10 @@ hypotheses at the cost of computation.
 
  .. code-block:: none
 
-    beam size token 1  : i rely was very much affray of showing him hoch shot i was at some part of what he sed (score: 3584.80; 0.1596 secs)
-    beam size token 5  : i rely was very much afraid of showing him how much shocked i was at some part of what he said (score: 3694.83; 0.1801 secs)
-    beam size token 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3696.25; 0.1991 secs)
-    beam size token 29 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2304 secs)
+    beam size token 1  : i rely was very much affray of showing him hoch shot i was at some part of what he sed (score: 3584.80; 0.1562 secs)
+    beam size token 5  : i rely was very much afraid of showing him how much shocked i was at some part of what he said (score: 3694.83; 0.1767 secs)
+    beam size token 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3696.25; 0.1959 secs)
+    beam size token 29 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2270 secs)
 
 
 
@@ -1051,10 +1051,10 @@ threshold such that plausible hypotheses are not pruned.
 
  .. code-block:: none
 
-    beam threshold 1  : i ila ery much afraid of shongut shot i was at some parts of what he said (score: 3316.20; 0.0284 secs)
-    beam threshold 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3682.23; 0.0647 secs)
-    beam threshold 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2124 secs)
-    beam threshold 25 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2349 secs)
+    beam threshold 1  : i ila ery much afraid of shongut shot i was at some parts of what he said (score: 3316.20; 0.0286 secs)
+    beam threshold 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3682.23; 0.0477 secs)
+    beam threshold 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2082 secs)
+    beam threshold 25 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2292 secs)
 
 
 
@@ -1098,9 +1098,9 @@ give more weight to the acoustic model score instead.
 
  .. code-block:: none
 
-    lm weight 0  : i rely was very much affraid of showing him ho much shoke i was at some parte of what he seid (score: 3834.05; 0.2570 secs)
-    lm weight 3.23: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2630 secs)
-    lm weight 15 : was there in his was at some of what he said (score: 2918.99; 0.2428 secs)
+    lm weight 0  : i rely was very much affraid of showing him ho much shoke i was at some parte of what he seid (score: 3834.05; 0.2509 secs)
+    lm weight 3.23: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2578 secs)
+    lm weight 15 : was there in his was at some of what he said (score: 2918.99; 0.2340 secs)
 
 
 
@@ -1121,7 +1121,7 @@ Additional parameters that can be optimized include the following
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  0.134 seconds)
+   **Total running time of the script:** ( 1 minutes  58.495 seconds)
 
 
 .. _sphx_glr_download_tutorials_asr_inference_with_ctc_decoder_tutorial.py:
diff --git a/main/_sources/tutorials/asr_inference_with_cuda_ctc_decoder_tutorial.rst.txt b/main/_sources/tutorials/asr_inference_with_cuda_ctc_decoder_tutorial.rst.txt
index 0bf9d34a245..24d6f97a3d4 100644
--- a/main/_sources/tutorials/asr_inference_with_cuda_ctc_decoder_tutorial.rst.txt
+++ b/main/_sources/tutorials/asr_inference_with_cuda_ctc_decoder_tutorial.rst.txt
@@ -79,8 +79,8 @@ working with
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -140,7 +140,7 @@ In this tutorial, we only use CTC head of the model.
 
  .. code-block:: none
 
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+
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@@ -169,7 +169,7 @@ We will load a sample from the LibriSpeech test-other dataset.
 
  .. code-block:: none
 
-
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+
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 .. raw:: html
@@ -247,7 +247,7 @@ index, or as a list of tokens, each mapping to a unique index.
 
  .. code-block:: none
 
-
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+
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     ['<blk>', '<sos/eos>', '<unk>', 'S', '▁THE', '▁A', 'T', '▁AND', 'ED', '▁OF', '▁TO', 'E', 'D', 'N', 'ING', '▁IN', 'Y', 'M', 'C', '▁I', 'A', 'P', '▁HE', 'R', 'O', 'L', 'RE', 'I', 'U', 'ER', '▁IT', 'LY', '▁THAT', '▁WAS', '▁', '▁S', 'AR', '▁BE', 'F', '▁C', 'IN', 'B', '▁FOR', 'OR', 'LE', "'", '▁HIS', '▁YOU', 'AL', '▁RE', 'V', '▁B', 'G', 'RI', '▁E', '▁WITH', '▁T', '▁AS', 'LL', '▁P', '▁HER', 'ST', '▁HAD', '▁SO', '▁F', 'W', 'CE', '▁IS', 'ND', '▁NOT', 'TH', '▁BUT', 'EN', '▁SHE', '▁ON', 'VE', 'ON', 'SE', '▁DE', 'UR', '▁G', 'CH', 'K', 'TER', '▁AT', 'IT', '▁ME', 'RO', 'NE', 'RA', 'ES', 'IL', 'NG', 'IC', '▁NO', '▁HIM', 'ENT', 'IR', '▁WE', 'H', '▁DO', '▁ALL', '▁HAVE', 'LO', '▁BY', '▁MY', '▁MO', '▁THIS', 'LA', '▁ST', '▁WHICH', '▁CON', '▁THEY', 'CK', 'TE', '▁SAID', '▁FROM', '▁GO', '▁WHO', '▁TH', '▁OR', '▁D', '▁W', 'VER', 'LI', '▁SE', '▁ONE', '▁CA', '▁AN', '▁LA', '▁WERE', 'EL', '▁HA', '▁MAN', '▁FA', '▁EX', 'AD', '▁SU', 'RY', '▁MI', 'AT', '▁BO', '▁WHEN', 'AN', 'THER', 'PP', 'ATION', '▁FI', '▁WOULD', '▁PRO', 'OW', 'ET', '▁O', '▁THERE', '▁HO', 'ION', '▁WHAT', '▁FE', '▁PA', 'US', 'MENT', '▁MA', 'UT', '▁OUT', '▁THEIR', '▁IF', '▁LI', '▁K', '▁WILL', '▁ARE', 'ID', '▁RO', 'DE', 'TION', '▁WA', 'PE', '▁UP', '▁SP', '▁PO', 'IGHT', '▁UN', 'RU', '▁LO', 'AS', 'OL', '▁LE', '▁BEEN', '▁SH', '▁RA', '▁SEE', 'KE', 'UL', 'TED', '▁SA', 'UN', 'UND', 'ANT', '▁NE', 'IS', '▁THEM', 'CI', 'GE', '▁COULD', '▁DIS', 'OM', 'ISH', 'HE', 'EST', '▁SOME', 'ENCE', 'ITY', 'IVE', '▁US', '▁MORE', '▁EN', 'ARD', 'ATE', '▁YOUR', '▁INTO', '▁KNOW', '▁CO', 'ANCE', '▁TIME', '▁WI', '▁YE', 'AGE', '▁NOW', 'TI', 'FF', 'ABLE', '▁VERY', '▁LIKE', 'AM', 'HI', 'Z', '▁OTHER', '▁THAN', '▁LITTLE', '▁DID', '▁LOOK', 'TY', 'ERS', '▁CAN', '▁CHA', '▁AR', 'X', 'FUL', 'UGH', '▁BA', '▁DAY', '▁ABOUT', 'TEN', 'IM', '▁ANY', '▁PRE', '▁OVER', 'IES', 'NESS', 'ME', 'BLE', '▁M', 'ROW', '▁HAS', '▁GREAT', '▁VI', 'TA', '▁AFTER', 'PER', '▁AGAIN', 'HO', 'SH', '▁UPON', '▁DI', '▁HAND', '▁COM', 'IST', 'TURE', '▁STA', '▁THEN', '▁SHOULD', '▁GA', 'OUS', 'OUR', '▁WELL', '▁ONLY', 'MAN', '▁GOOD', '▁TWO', '▁MAR', '▁SAY', '▁HU', 'TING', '▁OUR', 'RESS', '▁DOWN', 'IOUS', '▁BEFORE', '▁DA', '▁NA', 'QUI', '▁MADE', '▁EVERY', '▁OLD', '▁EVEN', 'IG', '▁COME', '▁GRA', '▁RI', '▁LONG', 'OT', 'SIDE', 'WARD', '▁FO', '▁WHERE', 'MO', 'LESS', '▁SC', '▁MUST', '▁NEVER', '▁HOW', '▁CAME', '▁SUCH', '▁RU', '▁TAKE', '▁WO', '▁CAR', 'UM', 'AK', '▁THINK', '▁MUCH', '▁MISTER', '▁MAY', '▁JO', '▁WAY', '▁COMP', '▁THOUGHT', '▁STO', '▁MEN', '▁BACK', '▁DON', 'J', '▁LET', '▁TRA', '▁FIRST', '▁JUST', '▁VA', '▁OWN', '▁PLA', '▁MAKE', 'ATED', '▁HIMSELF', '▁WENT', '▁PI', 'GG', 'RING', '▁DU', '▁MIGHT', '▁PART', '▁GIVE', '▁IMP', '▁BU', '▁PER', '▁PLACE', '▁HOUSE', '▁THROUGH', 'IAN', '▁SW', '▁UNDER', 'QUE', '▁AWAY', '▁LOVE', 'QUA', '▁LIFE', '▁GET', '▁WITHOUT', '▁PASS', '▁TURN', 'IGN', '▁HEAD', '▁MOST', '▁THOSE', '▁SHALL', '▁EYES', '▁COL', '▁STILL', '▁NIGHT', '▁NOTHING', 'ITION', 'HA', '▁TELL', '▁WORK', '▁LAST', '▁NEW', '▁FACE', '▁HI', '▁WORD', '▁FOUND', '▁COUNT', '▁OB', '▁WHILE', '▁SHA', '▁MEAN', '▁SAW', '▁PEOPLE', '▁FRIEND', '▁THREE', '▁ROOM', '▁SAME', '▁THOUGH', '▁RIGHT', '▁CHILD', '▁FATHER', '▁ANOTHER', '▁HEART', '▁WANT', '▁TOOK', 'OOK', '▁LIGHT', '▁MISSUS', '▁OPEN', '▁JU', '▁ASKED', 'PORT', '▁LEFT', '▁JA', '▁WORLD', '▁HOME', '▁WHY', '▁ALWAYS', '▁ANSWER', '▁SEEMED', '▁SOMETHING', '▁GIRL', '▁BECAUSE', '▁NAME', '▁TOLD', '▁NI', '▁HIGH', 'IZE', '▁WOMAN', '▁FOLLOW', '▁RETURN', '▁KNEW', '▁EACH', '▁KIND', '▁JE', '▁ACT', '▁LU', '▁CERTAIN', '▁YEARS', '▁QUITE', '▁APPEAR', '▁BETTER', '▁HALF', '▁PRESENT', '▁PRINCE', 'SHIP', '▁ALSO', '▁BEGAN', '▁HAVING', '▁ENOUGH', '▁PERSON', '▁LADY', '▁WHITE', '▁COURSE', '▁VOICE', '▁SPEAK', '▁POWER', '▁MORNING', '▁BETWEEN', '▁AMONG', '▁KEEP', '▁WALK', '▁MATTER', '▁TEA', '▁BELIEVE', '▁SMALL', '▁TALK', '▁FELT', '▁HORSE', '▁MYSELF', '▁SIX', '▁HOWEVER', '▁FULL', '▁HERSELF', '▁POINT', '▁STOOD', '▁HUNDRED', '▁ALMOST', '▁SINCE', '▁LARGE', '▁LEAVE', '▁PERHAPS', '▁DARK', '▁SUDDEN', '▁REPLIED', '▁ANYTHING', '▁WONDER', '▁UNTIL', 'Q']
 
 
@@ -564,7 +564,7 @@ From the above table, CUDA decoder could give a slight improvement in WER and a
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  2.491 seconds)
+   **Total running time of the script:** ( 0 minutes  8.108 seconds)
 
 
 .. _sphx_glr_download_tutorials_asr_inference_with_cuda_ctc_decoder_tutorial.py:
diff --git a/main/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt b/main/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt
index 8fcf8caa5ae..051cf78ebff 100644
--- a/main/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt
+++ b/main/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt
@@ -52,8 +52,8 @@ At the end, we synthesize noisy speech over phone from clean speech.
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -89,9 +89,9 @@ First, we import the modules and download the audio assets we use in this tutori
 
  .. code-block:: none
 
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@@ -1268,7 +1268,7 @@ Codec applied
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  14.695 seconds)
+   **Total running time of the script:** ( 0 minutes  14.502 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_data_augmentation_tutorial.py:
diff --git a/main/_sources/tutorials/audio_datasets_tutorial.rst.txt b/main/_sources/tutorials/audio_datasets_tutorial.rst.txt
index d1ba29045d0..5fd4b1b9352 100644
--- a/main/_sources/tutorials/audio_datasets_tutorial.rst.txt
+++ b/main/_sources/tutorials/audio_datasets_tutorial.rst.txt
@@ -46,8 +46,8 @@ available datasets.
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -106,7 +106,7 @@ Here, we show how to use the
 
  .. code-block:: none
 
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@@ -209,7 +209,7 @@ Here, we show how to use the
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  1.829 seconds)
+   **Total running time of the script:** ( 0 minutes  1.942 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_datasets_tutorial.py:
diff --git a/main/_sources/tutorials/audio_feature_augmentation_tutorial.rst.txt b/main/_sources/tutorials/audio_feature_augmentation_tutorial.rst.txt
index 42bf4c167ba..4f77ce52761 100644
--- a/main/_sources/tutorials/audio_feature_augmentation_tutorial.rst.txt
+++ b/main/_sources/tutorials/audio_feature_augmentation_tutorial.rst.txt
@@ -47,8 +47,8 @@ Audio Feature Augmentation
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -354,7 +354,7 @@ Time and Frequency Masking
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  2.270 seconds)
+   **Total running time of the script:** ( 0 minutes  2.274 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_feature_augmentation_tutorial.py:
diff --git a/main/_sources/tutorials/audio_feature_extractions_tutorial.rst.txt b/main/_sources/tutorials/audio_feature_extractions_tutorial.rst.txt
index 5db43c2a031..4eb4c5b2ba3 100644
--- a/main/_sources/tutorials/audio_feature_extractions_tutorial.rst.txt
+++ b/main/_sources/tutorials/audio_feature_extractions_tutorial.rst.txt
@@ -58,8 +58,8 @@ They can be serialized using TorchScript.
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -910,7 +910,7 @@ Pitch
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  10.000 seconds)
+   **Total running time of the script:** ( 0 minutes  9.814 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_feature_extractions_tutorial.py:
diff --git a/main/_sources/tutorials/audio_io_tutorial.rst.txt b/main/_sources/tutorials/audio_io_tutorial.rst.txt
index cf251cfeb81..d00d53d7837 100644
--- a/main/_sources/tutorials/audio_io_tutorial.rst.txt
+++ b/main/_sources/tutorials/audio_io_tutorial.rst.txt
@@ -51,8 +51,8 @@ load them into PyTorch Tensors and save PyTorch Tensors.
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -114,8 +114,8 @@ First, we import the modules and download the audio assets we use in this tutori
 
  .. code-block:: none
 
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@@ -467,7 +467,7 @@ The following examples illustrate this.
 
  .. code-block:: none
 
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@@ -654,7 +654,7 @@ the provided data fit
  .. code-block:: none
 
     ----------
-    Source: /tmp/tmpwera7kl2/save_example_default.wav
+    Source: /tmp/tmp7vhcr81s/save_example_default.wav
     ----------
      - File size: 108878 bytes
      - AudioMetaData(sample_rate=16000, num_frames=54400, num_channels=1, bits_per_sample=16, encoding=PCM_S)
@@ -687,7 +687,7 @@ The resulting file occupies half the storage but loses precision
  .. code-block:: none
 
     ----------
-    Source: /tmp/tmpph69rx0z/save_example_PCM_S16.wav
+    Source: /tmp/tmpmoqmzq78/save_example_PCM_S16.wav
     ----------
      - File size: 108878 bytes
      - AudioMetaData(sample_rate=16000, num_frames=54400, num_channels=1, bits_per_sample=16, encoding=PCM_S)
@@ -743,7 +743,7 @@ To name a few:
  .. code-block:: none
 
     ----------
-    Source: /tmp/tmpimc5s4c8/save_example.flac
+    Source: /tmp/tmpsklyf9cp/save_example.flac
     ----------
      - File size: 45262 bytes
      - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=16, encoding=FLAC)
@@ -792,7 +792,7 @@ required.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  1.681 seconds)
+   **Total running time of the script:** ( 0 minutes  2.217 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_io_tutorial.py:
diff --git a/main/_sources/tutorials/audio_resampling_tutorial.rst.txt b/main/_sources/tutorials/audio_resampling_tutorial.rst.txt
index 0393620a1c3..ca56cbf5312 100644
--- a/main/_sources/tutorials/audio_resampling_tutorial.rst.txt
+++ b/main/_sources/tutorials/audio_resampling_tutorial.rst.txt
@@ -46,8 +46,8 @@ This tutorial shows how to use torchaudio's resampling API.
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -657,7 +657,7 @@ in ``torchaudio``.
 
  .. code-block:: none
 
-    torchaudio: 2.2.0.dev20240424
+    torchaudio: 2.2.0.dev20240503
     librosa: 0.10.0
     resampy: 0.2.2
 
@@ -906,10 +906,10 @@ Downsample (48 -> 44.1 kHz)
  .. code-block:: none
 
                      librosa  functional  transforms
-    sinc (width 64)      NaN        0.87        0.39
-    sinc (width 16)      NaN        0.70        0.36
-    kaiser_best        84.25        1.22        0.39
-    kaiser_fast         7.90        0.96        0.36
+    sinc (width 64)      NaN        0.90        0.39
+    sinc (width 16)      NaN        0.73        0.34
+    kaiser_best        82.91        1.25        0.38
+    kaiser_fast         7.83        0.98        0.34
 
 
 
@@ -941,10 +941,10 @@ Downsample (16 -> 8 kHz)
  .. code-block:: none
 
                      librosa  functional  transforms
-    sinc (width 64)      NaN        1.37        1.20
-    sinc (width 16)      NaN        0.54        0.39
-    kaiser_best        11.31        1.40        1.22
-    kaiser_fast         3.14        0.61        0.43
+    sinc (width 64)      NaN        1.27        1.09
+    sinc (width 16)      NaN        0.53        0.37
+    kaiser_best        11.24        1.39        1.15
+    kaiser_fast         3.12        0.60        0.41
 
 
 
@@ -976,10 +976,10 @@ Upsample (44.1 -> 48 kHz)
  .. code-block:: none
 
                      librosa  functional  transforms
-    sinc (width 64)      NaN        0.86        0.40
-    sinc (width 16)      NaN        0.71        0.35
-    kaiser_best        32.72        1.09        0.37
-    kaiser_fast         7.86        0.95        0.36
+    sinc (width 64)      NaN        0.86        0.37
+    sinc (width 16)      NaN        0.71        0.33
+    kaiser_best        32.64        1.11        0.36
+    kaiser_fast         7.83        0.94        0.33
 
 
 
@@ -1011,10 +1011,10 @@ Upsample (8 -> 16 kHz)
  .. code-block:: none
 
                      librosa  functional  transforms
-    sinc (width 64)      NaN        0.75        0.55
-    sinc (width 16)      NaN        0.38        0.22
-    kaiser_best        11.23        0.79        0.56
-    kaiser_fast         2.98        0.42        0.25
+    sinc (width 64)      NaN        0.65        0.43
+    sinc (width 16)      NaN        0.37        0.22
+    kaiser_best        11.17        0.67        0.44
+    kaiser_fast         2.96        0.41        0.21
 
 
 
@@ -1039,7 +1039,7 @@ To elaborate on the results:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  3.372 seconds)
+   **Total running time of the script:** ( 0 minutes  3.349 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_resampling_tutorial.py:
diff --git a/main/_sources/tutorials/ctc_forced_alignment_api_tutorial.rst.txt b/main/_sources/tutorials/ctc_forced_alignment_api_tutorial.rst.txt
index f5a4b3faa83..cd125ce2f70 100644
--- a/main/_sources/tutorials/ctc_forced_alignment_api_tutorial.rst.txt
+++ b/main/_sources/tutorials/ctc_forced_alignment_api_tutorial.rst.txt
@@ -65,8 +65,8 @@ Preparation
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -175,7 +175,7 @@ the transcript.
  .. code-block:: none
 
     Downloading: "https://dl.fbaipublicfiles.com/mms/torchaudio/ctc_alignment_mling_uroman/model.pt" to /root/.cache/torch/hub/checkpoints/model.pt
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+
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@@ -1456,7 +1456,7 @@ forced aligner API.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  8.047 seconds)
+   **Total running time of the script:** ( 0 minutes  11.019 seconds)
 
 
 .. _sphx_glr_download_tutorials_ctc_forced_alignment_api_tutorial.py:
diff --git a/main/_sources/tutorials/effector_tutorial.rst.txt b/main/_sources/tutorials/effector_tutorial.rst.txt
index 6c3d7571ba2..309a47e0ff7 100644
--- a/main/_sources/tutorials/effector_tutorial.rst.txt
+++ b/main/_sources/tutorials/effector_tutorial.rst.txt
@@ -68,8 +68,8 @@ The following figure illustrates the process.
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -743,13 +743,20 @@ https://ffmpeg.org/ffmpeg-filters.html#vibrato
    :class: sphx-glr-single-img
 
 
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    /pytorch/audio/ci_env/lib/python3.10/site-packages/IPython/lib/display.py:188: RuntimeWarning: invalid value encountered in cast
+      return scaled.astype("<h").tobytes(), nchan
+
 
 .. raw:: html
 
     <div class="output_subarea output_html rendered_html output_result">
 
                     <audio  controls="controls" >
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AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA==" type="audio/wav" />
                         Your browser does not support the audio element.
                     </audio>
               
@@ -1368,7 +1375,7 @@ Tag: :obj:`torchaudio.io`
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  3.084 seconds)
+   **Total running time of the script:** ( 0 minutes  3.082 seconds)
 
 
 .. _sphx_glr_download_tutorials_effector_tutorial.py:
diff --git a/main/_sources/tutorials/filter_design_tutorial.rst.txt b/main/_sources/tutorials/filter_design_tutorial.rst.txt
index 5f5b76adca1..36e70dc6228 100644
--- a/main/_sources/tutorials/filter_design_tutorial.rst.txt
+++ b/main/_sources/tutorials/filter_design_tutorial.rst.txt
@@ -56,8 +56,8 @@ windowed-sinc kernels, and frequency sampling method.
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -674,7 +674,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  5.307 seconds)
+   **Total running time of the script:** ( 0 minutes  5.236 seconds)
 
 
 .. _sphx_glr_download_tutorials_filter_design_tutorial.py:
diff --git a/main/_sources/tutorials/forced_alignment_for_multilingual_data_tutorial.rst.txt b/main/_sources/tutorials/forced_alignment_for_multilingual_data_tutorial.rst.txt
index e75a547c2d1..554577ebd66 100644
--- a/main/_sources/tutorials/forced_alignment_for_multilingual_data_tutorial.rst.txt
+++ b/main/_sources/tutorials/forced_alignment_for_multilingual_data_tutorial.rst.txt
@@ -55,8 +55,8 @@ model, tokenizer and aligner, to perform the forced alignment with less code.
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
     cuda
 
 
@@ -2039,7 +2039,7 @@ forced aligner API.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  4.117 seconds)
+   **Total running time of the script:** ( 0 minutes  3.675 seconds)
 
 
 .. _sphx_glr_download_tutorials_forced_alignment_for_multilingual_data_tutorial.py:
diff --git a/main/_sources/tutorials/forced_alignment_tutorial.rst.txt b/main/_sources/tutorials/forced_alignment_tutorial.rst.txt
index 50976f5c3ea..1c481371635 100644
--- a/main/_sources/tutorials/forced_alignment_tutorial.rst.txt
+++ b/main/_sources/tutorials/forced_alignment_tutorial.rst.txt
@@ -72,8 +72,8 @@ Recognition <https://arxiv.org/abs/2007.09127>`__.
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
     cuda
 
 
@@ -1300,7 +1300,7 @@ perform CTC segmentation for forced alignment.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  1.751 seconds)
+   **Total running time of the script:** ( 0 minutes  1.714 seconds)
 
 
 .. _sphx_glr_download_tutorials_forced_alignment_tutorial.py:
diff --git a/main/_sources/tutorials/hybrid_demucs_tutorial.rst.txt b/main/_sources/tutorials/hybrid_demucs_tutorial.rst.txt
index 4d3bd136de1..41f8fd49605 100644
--- a/main/_sources/tutorials/hybrid_demucs_tutorial.rst.txt
+++ b/main/_sources/tutorials/hybrid_demucs_tutorial.rst.txt
@@ -78,8 +78,8 @@ First, we install the necessary dependencies. The first requirement is
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -146,7 +146,7 @@ and has a nfft value of 4096 with a depth of 6 in the model implementation.
 
  .. code-block:: none
 
-
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    100%|#########9| 318M/319M [00:08<00:00, 33.7MB/s]
    100%|##########| 319M/319M [00:08<00:00, 40.0MB/s]
+
      0%|          | 0.00/319M [00:00<?, ?B/s]
      3%|3         | 11.0M/319M [00:00<00:02, 115MB/s]
     12%|#1        | 37.6M/319M [00:00<00:01, 211MB/s]
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     39%|###8      | 124M/319M [00:00<00:01, 183MB/s]
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     67%|######6   | 213M/319M [00:01<00:00, 222MB/s]
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    100%|##########| 319M/319M [00:01<00:00, 236MB/s]
     Sample rate: 44100
 
 
@@ -311,7 +311,7 @@ separator in different ways.
 
  .. code-block:: none
 
-
      0%|          | 0.00/28.8M [00:00<?, ?B/s]
     29%|##9       | 8.50M/28.8M [00:00<00:00, 70.7MB/s]
     53%|#####2    | 15.2M/28.8M [00:00<00:00, 70.0MB/s]
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     97%|#########7| 28.0M/28.8M [00:00<00:00, 56.6MB/s]
    100%|##########| 28.8M/28.8M [00:00<00:00, 61.3MB/s]
+
      0%|          | 0.00/28.8M [00:00<?, ?B/s]
    100%|##########| 28.8M/28.8M [00:00<00:00, 358MB/s]
     Separating track
 
 
@@ -411,10 +411,10 @@ scores.
 
  .. code-block:: none
 
-
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    100%|##########| 1.68M/1.68M [00:00<00:00, 38.2MB/s]
-
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-
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-
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+
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+
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+
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+
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@@ -666,7 +666,7 @@ Other SDR, Spectrogram, and Audio
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  32.512 seconds)
+   **Total running time of the script:** ( 0 minutes  25.332 seconds)
 
 
 .. _sphx_glr_download_tutorials_hybrid_demucs_tutorial.py:
diff --git a/main/_sources/tutorials/mvdr_tutorial.rst.txt b/main/_sources/tutorials/mvdr_tutorial.rst.txt
index d8f9cbeac5e..65fbe9fc113 100644
--- a/main/_sources/tutorials/mvdr_tutorial.rst.txt
+++ b/main/_sources/tutorials/mvdr_tutorial.rst.txt
@@ -71,8 +71,8 @@ Steps:
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -156,8 +156,8 @@ which was generated with:
 
  .. code-block:: none
 
-
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-
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+
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+
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    100%|##########| 1.95M/1.95M [00:00<00:00, 200MB/s]
 
 
 
@@ -855,7 +855,7 @@ We can then obtain the enhanced waveform by passing this output to the
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  1.742 seconds)
+   **Total running time of the script:** ( 0 minutes  1.784 seconds)
 
 
 .. _sphx_glr_download_tutorials_mvdr_tutorial.py:
diff --git a/main/_sources/tutorials/nvdec_tutorial.rst.txt b/main/_sources/tutorials/nvdec_tutorial.rst.txt
index 23ae93018cd..158875fe098 100644
--- a/main/_sources/tutorials/nvdec_tutorial.rst.txt
+++ b/main/_sources/tutorials/nvdec_tutorial.rst.txt
@@ -59,8 +59,8 @@ with TorchAudio, and how it improves the performance of video decoding.
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -182,7 +182,7 @@ that support HW decoder/encoder.
  .. code-block:: none
 
     Avaialbe GPU:
-    _CudaDeviceProperties(name='NVIDIA A10G', major=8, minor=6, total_memory=22515MB, multi_processor_count=80)
+    _CudaDeviceProperties(name='NVIDIA A10G', major=8, minor=6, total_memory=22502MB, multi_processor_count=80)
 
 
 
@@ -219,7 +219,7 @@ We will use the following video which has the following properties;
 
  .. code-block:: none
 
-
      0%|          | 0.00/31.8M [00:00<?, ?B/s]
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+
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    100%|##########| 31.8M/31.8M [00:00<00:00, 301MB/s]
 
 
 
@@ -957,23 +957,23 @@ QVGA
 
  .. code-block:: none
 
-
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+
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     Testing: testsrc2_qvga.h264.mp4
     * Software decoding (num_threads=1)
      - Shape: torch.Size([5, 3, 240, 320])
-     - Processed 900 frames in 0.51 seconds. (1766.83 fps)
+     - Processed 900 frames in 0.53 seconds. (1711.49 fps)
     * Software decoding (num_threads=4)
      - Shape: torch.Size([5, 3, 240, 320])
-     - Processed 900 frames in 0.34 seconds. (2632.74 fps)
+     - Processed 900 frames in 0.34 seconds. (2608.82 fps)
     * Software decoding (num_threads=8)
      - Shape: torch.Size([5, 3, 240, 320])
-     - Processed 900 frames in 0.32 seconds. (2806.82 fps)
+     - Processed 900 frames in 0.35 seconds. (2606.72 fps)
     * Software decoding (num_threads=16)
      - Shape: torch.Size([5, 3, 240, 320])
-     - Processed 895 frames in 0.32 seconds. (2764.85 fps)
+     - Processed 895 frames in 0.35 seconds. (2553.10 fps)
     * Hardware decoding
      - Shape: torch.Size([5, 3, 240, 320])
-     - Processed 900 frames in 2.03 seconds. (443.96 fps)
+     - Processed 900 frames in 1.68 seconds. (536.97 fps)
 
 
 
@@ -999,23 +999,23 @@ VGA
 
  .. code-block:: none
 
-
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+
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     Testing: testsrc2_vga.h264.mp4
     * Software decoding (num_threads=1)
      - Shape: torch.Size([5, 3, 480, 640])
-     - Processed 900 frames in 1.23 seconds. (729.73 fps)
+     - Processed 900 frames in 1.29 seconds. (698.02 fps)
     * Software decoding (num_threads=4)
      - Shape: torch.Size([5, 3, 480, 640])
-     - Processed 900 frames in 0.64 seconds. (1407.80 fps)
+     - Processed 900 frames in 0.61 seconds. (1470.20 fps)
     * Software decoding (num_threads=8)
      - Shape: torch.Size([5, 3, 480, 640])
-     - Processed 900 frames in 0.64 seconds. (1411.72 fps)
+     - Processed 900 frames in 0.68 seconds. (1321.70 fps)
     * Software decoding (num_threads=16)
      - Shape: torch.Size([5, 3, 480, 640])
-     - Processed 895 frames in 0.67 seconds. (1335.98 fps)
+     - Processed 895 frames in 0.69 seconds. (1301.50 fps)
     * Hardware decoding
      - Shape: torch.Size([5, 3, 480, 640])
-     - Processed 900 frames in 0.35 seconds. (2560.60 fps)
+     - Processed 900 frames in 0.34 seconds. (2647.47 fps)
 
 
 
@@ -1042,23 +1042,23 @@ XGA
 
  .. code-block:: none
 
-
      0%|          | 0.00/9.22M [00:00<?, ?B/s]
     98%|#########7| 9.00M/9.22M [00:00<00:00, 58.6MB/s]
    100%|##########| 9.22M/9.22M [00:00<00:00, 58.6MB/s]
+
      0%|          | 0.00/9.22M [00:00<?, ?B/s]
    100%|##########| 9.22M/9.22M [00:00<00:00, 307MB/s]
     Testing: testsrc2_xga.h264.mp4
     * Software decoding (num_threads=1)
      - Shape: torch.Size([5, 3, 768, 1024])
-     - Processed 900 frames in 2.72 seconds. (330.44 fps)
+     - Processed 900 frames in 2.72 seconds. (331.39 fps)
     * Software decoding (num_threads=4)
      - Shape: torch.Size([5, 3, 768, 1024])
-     - Processed 900 frames in 1.25 seconds. (720.46 fps)
+     - Processed 900 frames in 1.19 seconds. (756.23 fps)
     * Software decoding (num_threads=8)
      - Shape: torch.Size([5, 3, 768, 1024])
-     - Processed 900 frames in 1.27 seconds. (710.91 fps)
+     - Processed 900 frames in 1.19 seconds. (755.28 fps)
     * Software decoding (num_threads=16)
      - Shape: torch.Size([5, 3, 768, 1024])
-     - Processed 895 frames in 1.30 seconds. (687.98 fps)
+     - Processed 895 frames in 1.09 seconds. (818.92 fps)
     * Hardware decoding
      - Shape: torch.Size([5, 3, 768, 1024])
-     - Processed 900 frames in 0.62 seconds. (1446.94 fps)
+     - Processed 900 frames in 0.61 seconds. (1478.34 fps)
 
 
 
@@ -1332,13 +1332,13 @@ QVGA
     Testing: testsrc2_qvga.h264.mp4
     * Software decoding with PyTorch interpolate
      - Shape: torch.Size([5, 3, 224, 224])
-     - Processed 900 frames in 0.65 seconds. (1386.15 fps)
+     - Processed 900 frames in 0.69 seconds. (1296.57 fps)
     * Software decoding with FFmpeg scale
      - Shape: torch.Size([5, 3, 224, 224])
-     - Processed 900 frames in 0.38 seconds. (2339.20 fps)
+     - Processed 900 frames in 0.36 seconds. (2510.60 fps)
     * Hardware decoding with resize
      - Shape: torch.Size([5, 3, 224, 224])
-     - Processed 900 frames in 2.01 seconds. (447.17 fps)
+     - Processed 900 frames in 2.01 seconds. (447.56 fps)
 
 
 
@@ -1366,13 +1366,13 @@ VGA
     Testing: testsrc2_vga.h264.mp4
     * Software decoding with PyTorch interpolate
      - Shape: torch.Size([5, 3, 224, 224])
-     - Processed 900 frames in 1.40 seconds. (641.78 fps)
+     - Processed 900 frames in 1.41 seconds. (638.51 fps)
     * Software decoding with FFmpeg scale
      - Shape: torch.Size([5, 3, 224, 224])
-     - Processed 900 frames in 0.66 seconds. (1364.95 fps)
+     - Processed 900 frames in 0.60 seconds. (1494.09 fps)
     * Hardware decoding with resize
      - Shape: torch.Size([5, 3, 224, 224])
-     - Processed 900 frames in 0.35 seconds. (2570.75 fps)
+     - Processed 900 frames in 0.34 seconds. (2665.72 fps)
 
 
 
@@ -1400,13 +1400,13 @@ XGA
     Testing: testsrc2_xga.h264.mp4
     * Software decoding with PyTorch interpolate
      - Shape: torch.Size([5, 3, 224, 224])
-     - Processed 900 frames in 2.61 seconds. (345.12 fps)
+     - Processed 900 frames in 2.78 seconds. (323.81 fps)
     * Software decoding with FFmpeg scale
      - Shape: torch.Size([5, 3, 224, 224])
-     - Processed 900 frames in 1.01 seconds. (891.16 fps)
+     - Processed 900 frames in 1.05 seconds. (855.64 fps)
     * Hardware decoding with resize
      - Shape: torch.Size([5, 3, 224, 224])
-     - Processed 900 frames in 0.62 seconds. (1453.60 fps)
+     - Processed 900 frames in 0.61 seconds. (1483.64 fps)
 
 
 
@@ -1480,7 +1480,7 @@ Tag: :obj:`torchaudio.io`
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  32.068 seconds)
+   **Total running time of the script:** ( 0 minutes  30.008 seconds)
 
 
 .. _sphx_glr_download_tutorials_nvdec_tutorial.py:
diff --git a/main/_sources/tutorials/nvenc_tutorial.rst.txt b/main/_sources/tutorials/nvenc_tutorial.rst.txt
index 0ed38c0c14f..c211a8b048c 100644
--- a/main/_sources/tutorials/nvenc_tutorial.rst.txt
+++ b/main/_sources/tutorials/nvenc_tutorial.rst.txt
@@ -80,8 +80,8 @@ with TorchAudio, and how it improves the performance of video encoding.
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -179,7 +179,7 @@ that support HW decoder/encoder.
  .. code-block:: none
 
     Avaialbe GPU:
-    _CudaDeviceProperties(name='NVIDIA A10G', major=8, minor=6, total_memory=22515MB, multi_processor_count=80)
+    _CudaDeviceProperties(name='NVIDIA A10G', major=8, minor=6, total_memory=22502MB, multi_processor_count=80)
 
 
 
@@ -461,19 +461,19 @@ change.
 
     Testing resolution: 640x360
     * Software Encoder (num_threads=1)
-     - Processed 120 frames in 0.63 seconds. (189.48 fps)
+     - Processed 120 frames in 0.66 seconds. (182.14 fps)
      - Encoded data size: 381331 bytes
     * Software Encoder (num_threads=4)
-     - Processed 120 frames in 0.22 seconds. (534.19 fps)
+     - Processed 120 frames in 0.22 seconds. (537.28 fps)
      - Encoded data size: 381307 bytes
     * Software Encoder (num_threads=8)
-     - Processed 120 frames in 0.19 seconds. (645.26 fps)
+     - Processed 120 frames in 0.18 seconds. (684.08 fps)
      - Encoded data size: 390689 bytes
     * Hardware Encoder 
-     - Processed 120 frames in 0.05 seconds. (2224.28 fps)
+     - Processed 120 frames in 0.05 seconds. (2256.83 fps)
      - Encoded data size: 1262979 bytes
     * Hardware Encoder (CUDA frames)
-     - Processed 120 frames in 0.05 seconds. (2623.06 fps)
+     - Processed 120 frames in 0.05 seconds. (2585.03 fps)
      - Encoded data size: 1262979 bytes
 
 
@@ -502,19 +502,19 @@ change.
 
     Testing resolution: 1280x720
     * Software Encoder (num_threads=1)
-     - Processed 120 frames in 2.27 seconds. (52.88 fps)
+     - Processed 120 frames in 2.19 seconds. (54.87 fps)
      - Encoded data size: 1335451 bytes
     * Software Encoder (num_threads=4)
-     - Processed 120 frames in 0.83 seconds. (144.92 fps)
+     - Processed 120 frames in 0.72 seconds. (165.53 fps)
      - Encoded data size: 1336418 bytes
     * Software Encoder (num_threads=8)
-     - Processed 120 frames in 0.69 seconds. (172.96 fps)
+     - Processed 120 frames in 0.60 seconds. (198.69 fps)
      - Encoded data size: 1344063 bytes
     * Hardware Encoder 
-     - Processed 120 frames in 0.26 seconds. (468.92 fps)
+     - Processed 120 frames in 0.18 seconds. (676.27 fps)
      - Encoded data size: 1358969 bytes
     * Hardware Encoder (CUDA frames)
-     - Processed 120 frames in 0.15 seconds. (802.29 fps)
+     - Processed 120 frames in 0.15 seconds. (801.88 fps)
      - Encoded data size: 1358969 bytes
 
 
@@ -543,19 +543,19 @@ change.
 
     Testing resolution: 1920x1080
     * Software Encoder (num_threads=1)
-     - Processed 120 frames in 4.66 seconds. (25.73 fps)
+     - Processed 120 frames in 4.48 seconds. (26.80 fps)
      - Encoded data size: 2678241 bytes
     * Software Encoder (num_threads=4)
-     - Processed 120 frames in 1.68 seconds. (71.37 fps)
+     - Processed 120 frames in 1.51 seconds. (79.72 fps)
      - Encoded data size: 2682028 bytes
     * Software Encoder (num_threads=8)
-     - Processed 120 frames in 1.57 seconds. (76.47 fps)
+     - Processed 120 frames in 1.35 seconds. (88.88 fps)
      - Encoded data size: 2685086 bytes
     * Hardware Encoder 
-     - Processed 120 frames in 0.56 seconds. (213.38 fps)
+     - Processed 120 frames in 0.39 seconds. (310.31 fps)
      - Encoded data size: 1705900 bytes
     * Hardware Encoder (CUDA frames)
-     - Processed 120 frames in 0.32 seconds. (371.21 fps)
+     - Processed 120 frames in 0.32 seconds. (370.85 fps)
      - Encoded data size: 1705900 bytes
 
 
@@ -709,7 +709,7 @@ Tag: :obj:`torchaudio.io`
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  21.880 seconds)
+   **Total running time of the script:** ( 0 minutes  20.538 seconds)
 
 
 .. _sphx_glr_download_tutorials_nvenc_tutorial.py:
diff --git a/main/_sources/tutorials/online_asr_tutorial.rst.txt b/main/_sources/tutorials/online_asr_tutorial.rst.txt
index 73b26063947..acf27645b36 100644
--- a/main/_sources/tutorials/online_asr_tutorial.rst.txt
+++ b/main/_sources/tutorials/online_asr_tutorial.rst.txt
@@ -78,8 +78,8 @@ Performing online speech recognition is composed of the following steps
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -115,9 +115,9 @@ which is a Emformer RNN-T model trained on LibriSpeech dataset.
 
  .. code-block:: none
 
-
      0%|          | 0.00/3.81k [00:00<?, ?B/s]
    100%|##########| 3.81k/3.81k [00:00<00:00, 7.99MB/s]
-
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      9%|9         | 27.8M/293M [00:00<00:00, 291MB/s]
     20%|#9        | 58.0M/293M [00:00<00:00, 306MB/s]
     30%|##9       | 87.5M/293M [00:00<00:00, 307MB/s]
     43%|####3     | 127M/293M [00:00<00:00, 351MB/s] 
     55%|#####4    | 161M/293M [00:00<00:00, 330MB/s]
     66%|######5   | 193M/293M [00:00<00:00, 289MB/s]
     76%|#######5  | 222M/293M [00:00<00:00, 295MB/s]
     86%|########5 | 251M/293M [00:00<00:00, 267MB/s]
     95%|#########4| 278M/293M [00:01<00:00, 254MB/s]
    100%|##########| 293M/293M [00:01<00:00, 282MB/s]
-
      0%|          | 0.00/295k [00:00<?, ?B/s]
    100%|##########| 295k/295k [00:00<00:00, 75.3MB/s]
+
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    100%|##########| 3.81k/3.81k [00:00<00:00, 4.11MB/s]
+
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      5%|5         | 14.9M/293M [00:00<00:02, 113MB/s]
      9%|8         | 25.8M/293M [00:00<00:03, 84.8MB/s]
     12%|#1        | 34.1M/293M [00:00<00:03, 78.2MB/s]
     17%|#6        | 48.5M/293M [00:00<00:03, 83.4MB/s]
     19%|#9        | 56.5M/293M [00:00<00:04, 61.3MB/s]
     22%|##2       | 64.9M/293M [00:01<00:04, 51.3MB/s]
     24%|##3       | 70.2M/293M [00:01<00:05, 44.6MB/s]
     27%|##7       | 80.4M/293M [00:01<00:04, 46.5MB/s]
     29%|##9       | 85.0M/293M [00:01<00:05, 41.3MB/s]
     33%|###3      | 96.8M/293M [00:01<00:03, 54.3MB/s]
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     39%|###9      | 115M/293M [00:02<00:03, 51.3MB/s]
     45%|####4     | 131M/293M [00:02<00:02, 60.3MB/s]
     50%|#####     | 148M/293M [00:02<00:02, 59.3MB/s]
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     58%|#####7    | 169M/293M [00:03<00:02, 43.8MB/s]
     59%|#####9    | 173M/293M [00:03<00:02, 43.6MB/s]
     62%|######1   | 180M/293M [00:03<00:02, 43.9MB/s]
     67%|######7   | 197M/293M [00:03<00:01, 54.4MB/s]
     73%|#######2  | 213M/293M [00:03<00:01, 68.7MB/s]
     78%|#######7  | 228M/293M [00:04<00:00, 84.5MB/s]
     81%|########  | 237M/293M [00:04<00:00, 68.2MB/s]
     84%|########3 | 246M/293M [00:04<00:00, 60.7MB/s]
     89%|########8 | 261M/293M [00:04<00:00, 69.8MB/s]
     92%|#########1| 268M/293M [00:05<00:00, 48.5MB/s]
     95%|#########5| 279M/293M [00:05<00:00, 55.1MB/s]
    100%|#########9| 292M/293M [00:05<00:00, 69.3MB/s]
    100%|##########| 293M/293M [00:05<00:00, 58.4MB/s]
+
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    100%|##########| 295k/295k [00:00<00:00, 78.8MB/s]
 
 
 
@@ -814,7 +814,7 @@ Tag: :obj:`torchaudio.io`
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  38.997 seconds)
+   **Total running time of the script:** ( 1 minutes  39.088 seconds)
 
 
 .. _sphx_glr_download_tutorials_online_asr_tutorial.py:
diff --git a/main/_sources/tutorials/oscillator_tutorial.rst.txt b/main/_sources/tutorials/oscillator_tutorial.rst.txt
index 8303b92422d..d86882fe54d 100644
--- a/main/_sources/tutorials/oscillator_tutorial.rst.txt
+++ b/main/_sources/tutorials/oscillator_tutorial.rst.txt
@@ -53,8 +53,8 @@ This tutorial shows how to synthesize various waveforms using
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -636,7 +636,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  3.031 seconds)
+   **Total running time of the script:** ( 0 minutes  3.068 seconds)
 
 
 .. _sphx_glr_download_tutorials_oscillator_tutorial.py:
diff --git a/main/_sources/tutorials/sg_execution_times.rst.txt b/main/_sources/tutorials/sg_execution_times.rst.txt
index 3bb1a55a9d6..5bbf8a04887 100644
--- a/main/_sources/tutorials/sg_execution_times.rst.txt
+++ b/main/_sources/tutorials/sg_execution_times.rst.txt
@@ -5,62 +5,62 @@
 
 Computation times
 =================
-**09:36.991** total execution time for **tutorials** files:
+**08:27.945** total execution time for **tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_asr_inference_with_ctc_decoder_tutorial.py` (``asr_inference_with_ctc_decoder_tutorial.py``)                 | 03:00.134 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_asr_inference_with_ctc_decoder_tutorial.py` (``asr_inference_with_ctc_decoder_tutorial.py``)                 | 01:58.495 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_online_asr_tutorial.py` (``online_asr_tutorial.py``)                                                         | 01:38.997 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_online_asr_tutorial.py` (``online_asr_tutorial.py``)                                                         | 01:39.088 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_tacotron2_pipeline_tutorial.py` (``tacotron2_pipeline_tutorial.py``)                                         | 01:17.877 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_tacotron2_pipeline_tutorial.py` (``tacotron2_pipeline_tutorial.py``)                                         | 01:10.328 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_hybrid_demucs_tutorial.py` (``hybrid_demucs_tutorial.py``)                                                   | 00:32.512 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_nvdec_tutorial.py` (``nvdec_tutorial.py``)                                                                   | 00:30.008 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_nvdec_tutorial.py` (``nvdec_tutorial.py``)                                                                   | 00:32.068 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_hybrid_demucs_tutorial.py` (``hybrid_demucs_tutorial.py``)                                                   | 00:25.332 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_nvenc_tutorial.py` (``nvenc_tutorial.py``)                                                                   | 00:21.880 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_nvenc_tutorial.py` (``nvenc_tutorial.py``)                                                                   | 00:20.538 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_streamreader_advanced_tutorial.py` (``streamreader_advanced_tutorial.py``)                                   | 00:18.680 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_streamreader_advanced_tutorial.py` (``streamreader_advanced_tutorial.py``)                                   | 00:18.650 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_streamreader_basic_tutorial.py` (``streamreader_basic_tutorial.py``)                                         | 00:15.688 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_data_augmentation_tutorial.py` (``audio_data_augmentation_tutorial.py``)                               | 00:14.502 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_data_augmentation_tutorial.py` (``audio_data_augmentation_tutorial.py``)                               | 00:14.695 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_squim_tutorial.py` (``squim_tutorial.py``)                                                                   | 00:13.652 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_feature_extractions_tutorial.py` (``audio_feature_extractions_tutorial.py``)                           | 00:10.000 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_streamreader_basic_tutorial.py` (``streamreader_basic_tutorial.py``)                                         | 00:13.503 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_subtractive_synthesis_tutorial.py` (``subtractive_synthesis_tutorial.py``)                                   | 00:08.130 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_ctc_forced_alignment_api_tutorial.py` (``ctc_forced_alignment_api_tutorial.py``)                             | 00:11.019 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_ctc_forced_alignment_api_tutorial.py` (``ctc_forced_alignment_api_tutorial.py``)                             | 00:08.047 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_feature_extractions_tutorial.py` (``audio_feature_extractions_tutorial.py``)                           | 00:09.814 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_squim_tutorial.py` (``squim_tutorial.py``)                                                                   | 00:07.914 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_asr_inference_with_cuda_ctc_decoder_tutorial.py` (``asr_inference_with_cuda_ctc_decoder_tutorial.py``)       | 00:08.108 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_speech_recognition_pipeline_tutorial.py` (``speech_recognition_pipeline_tutorial.py``)                       | 00:07.583 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_subtractive_synthesis_tutorial.py` (``subtractive_synthesis_tutorial.py``)                                   | 00:07.964 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_streamwriter_basic_tutorial.py` (``streamwriter_basic_tutorial.py``)                                         | 00:07.246 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_streamwriter_basic_tutorial.py` (``streamwriter_basic_tutorial.py``)                                         | 00:07.390 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_filter_design_tutorial.py` (``filter_design_tutorial.py``)                                                   | 00:05.307 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_speech_recognition_pipeline_tutorial.py` (``speech_recognition_pipeline_tutorial.py``)                       | 00:06.359 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_additive_synthesis_tutorial.py` (``additive_synthesis_tutorial.py``)                                         | 00:04.864 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_filter_design_tutorial.py` (``filter_design_tutorial.py``)                                                   | 00:05.236 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_forced_alignment_for_multilingual_data_tutorial.py` (``forced_alignment_for_multilingual_data_tutorial.py``) | 00:04.117 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_additive_synthesis_tutorial.py` (``additive_synthesis_tutorial.py``)                                         | 00:04.856 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_resampling_tutorial.py` (``audio_resampling_tutorial.py``)                                             | 00:03.372 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_forced_alignment_for_multilingual_data_tutorial.py` (``forced_alignment_for_multilingual_data_tutorial.py``) | 00:03.675 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_effector_tutorial.py` (``effector_tutorial.py``)                                                             | 00:03.084 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_resampling_tutorial.py` (``audio_resampling_tutorial.py``)                                             | 00:03.349 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_oscillator_tutorial.py` (``oscillator_tutorial.py``)                                                         | 00:03.031 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_effector_tutorial.py` (``effector_tutorial.py``)                                                             | 00:03.082 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_asr_inference_with_cuda_ctc_decoder_tutorial.py` (``asr_inference_with_cuda_ctc_decoder_tutorial.py``)       | 00:02.491 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_oscillator_tutorial.py` (``oscillator_tutorial.py``)                                                         | 00:03.068 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_feature_augmentation_tutorial.py` (``audio_feature_augmentation_tutorial.py``)                         | 00:02.270 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_feature_augmentation_tutorial.py` (``audio_feature_augmentation_tutorial.py``)                         | 00:02.274 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_datasets_tutorial.py` (``audio_datasets_tutorial.py``)                                                 | 00:01.829 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_io_tutorial.py` (``audio_io_tutorial.py``)                                                             | 00:02.217 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_forced_alignment_tutorial.py` (``forced_alignment_tutorial.py``)                                             | 00:01.751 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_datasets_tutorial.py` (``audio_datasets_tutorial.py``)                                                 | 00:01.942 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_mvdr_tutorial.py` (``mvdr_tutorial.py``)                                                                     | 00:01.742 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_mvdr_tutorial.py` (``mvdr_tutorial.py``)                                                                     | 00:01.784 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_io_tutorial.py` (``audio_io_tutorial.py``)                                                             | 00:01.681 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_forced_alignment_tutorial.py` (``forced_alignment_tutorial.py``)                                             | 00:01.714 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_tutorials_device_asr.py` (``device_asr.py``)                                                                           | 00:00.000 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/main/_sources/tutorials/speech_recognition_pipeline_tutorial.rst.txt b/main/_sources/tutorials/speech_recognition_pipeline_tutorial.rst.txt
index 8a604407cf7..a5080dc7b1a 100644
--- a/main/_sources/tutorials/speech_recognition_pipeline_tutorial.rst.txt
+++ b/main/_sources/tutorials/speech_recognition_pipeline_tutorial.rst.txt
@@ -76,8 +76,8 @@ Preparation
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
     cuda
 
 
@@ -103,7 +103,7 @@ Preparation
 
  .. code-block:: none
 
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@@ -188,7 +188,7 @@ fetch the pre-trained weights and load it into the model.
  .. code-block:: none
 
     Downloading: "https://download.pytorch.org/torchaudio/models/wav2vec2_fairseq_base_ls960_asr_ls960.pth" to /root/.cache/torch/hub/checkpoints/wav2vec2_fairseq_base_ls960_asr_ls960.pth
-
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+
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     <class 'torchaudio.models.wav2vec2.model.Wav2Vec2Model'>
 
 
@@ -547,7 +547,7 @@ a model and getting the emission is as short as two lines.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  7.583 seconds)
+   **Total running time of the script:** ( 0 minutes  6.359 seconds)
 
 
 .. _sphx_glr_download_tutorials_speech_recognition_pipeline_tutorial.py:
diff --git a/main/_sources/tutorials/squim_tutorial.rst.txt b/main/_sources/tutorials/squim_tutorial.rst.txt
index 5280e4bd98e..b5473115e9e 100644
--- a/main/_sources/tutorials/squim_tutorial.rst.txt
+++ b/main/_sources/tutorials/squim_tutorial.rst.txt
@@ -97,8 +97,8 @@ through MOS using non-matching references.” Interspeech, 2022.
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -225,7 +225,7 @@ plot data, pystoi, pesq for computing reference metrics.
 
  .. code-block:: none
 
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@@ -575,7 +575,7 @@ Get the pre-trained ``SquimObjective``\ model.
  .. code-block:: none
 
     Downloading: "https://download.pytorch.org/torchaudio/models/squim_objective_dns2020.pth" to /root/.cache/torch/hub/checkpoints/squim_objective_dns2020.pth
-
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    100%|##########| 28.2M/28.2M [00:00<00:00, 137MB/s]
 
 
 
@@ -706,7 +706,7 @@ Get the pre-trained ``SquimSubjective`` model.
  .. code-block:: none
 
     Downloading: "https://download.pytorch.org/torchaudio/models/squim_subjective_bvcc_daps.pth" to /root/.cache/torch/hub/checkpoints/squim_subjective_bvcc_daps.pth
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@@ -833,7 +833,7 @@ represents the corresponding ground truth.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  7.914 seconds)
+   **Total running time of the script:** ( 0 minutes  13.652 seconds)
 
 
 .. _sphx_glr_download_tutorials_squim_tutorial.py:
diff --git a/main/_sources/tutorials/streamreader_advanced_tutorial.rst.txt b/main/_sources/tutorials/streamreader_advanced_tutorial.rst.txt
index 877fb3e455b..fc70ff36b18 100644
--- a/main/_sources/tutorials/streamreader_advanced_tutorial.rst.txt
+++ b/main/_sources/tutorials/streamreader_advanced_tutorial.rst.txt
@@ -60,8 +60,8 @@ This shows how to use :py:class:`~torchaudio.io.StreamReader` for
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -833,7 +833,7 @@ Tag: :obj:`torchaudio.io`
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  18.680 seconds)
+   **Total running time of the script:** ( 0 minutes  18.650 seconds)
 
 
 .. _sphx_glr_download_tutorials_streamreader_advanced_tutorial.py:
diff --git a/main/_sources/tutorials/streamreader_basic_tutorial.rst.txt b/main/_sources/tutorials/streamreader_basic_tutorial.rst.txt
index fa294ba6cdf..56eb680c0a6 100644
--- a/main/_sources/tutorials/streamreader_basic_tutorial.rst.txt
+++ b/main/_sources/tutorials/streamreader_basic_tutorial.rst.txt
@@ -101,8 +101,8 @@ Preparation
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -853,7 +853,7 @@ Tag: :obj:`torchaudio.io`
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  15.688 seconds)
+   **Total running time of the script:** ( 0 minutes  13.503 seconds)
 
 
 .. _sphx_glr_download_tutorials_streamreader_basic_tutorial.py:
diff --git a/main/_sources/tutorials/streamwriter_basic_tutorial.rst.txt b/main/_sources/tutorials/streamwriter_basic_tutorial.rst.txt
index e7a24daf3ff..d127f2451ce 100644
--- a/main/_sources/tutorials/streamwriter_basic_tutorial.rst.txt
+++ b/main/_sources/tutorials/streamwriter_basic_tutorial.rst.txt
@@ -82,8 +82,8 @@ Preparation
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
     FFmpeg library versions
       libavcodec: (60, 3, 100)
       libavdevice: (60, 1, 100)
@@ -859,7 +859,7 @@ We process one second of audio and video frames at a time.
 
     /pytorch/audio/examples/tutorials/streamwriter_basic_tutorial.py:566: MatplotlibDeprecationWarning: The tostring_rgb function was deprecated in Matplotlib 3.8 and will be removed two minor releases later. Use buffer_rgba instead.
       frame = torch.frombuffer(fig.canvas.tostring_rgb(), dtype=torch.uint8)
-    /pytorch/audio/examples/tutorials/streamwriter_basic_tutorial.py:566: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /opt/conda/conda-bld/pytorch_1713858122499/work/torch/csrc/utils/tensor_new.cpp:1544.)
+    /pytorch/audio/examples/tutorials/streamwriter_basic_tutorial.py:566: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /opt/conda/conda-bld/pytorch_1714635829374/work/torch/csrc/utils/tensor_new.cpp:1544.)
       frame = torch.frombuffer(fig.canvas.tostring_rgb(), dtype=torch.uint8)
 
 
@@ -890,7 +890,7 @@ The result looks like below.
 
     <div class="output_subarea output_html rendered_html output_result">
     <video controls  >
-     <source 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     </div>
@@ -911,7 +911,7 @@ Tag: :obj:`torchaudio.io`
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  7.246 seconds)
+   **Total running time of the script:** ( 0 minutes  7.390 seconds)
 
 
 .. _sphx_glr_download_tutorials_streamwriter_basic_tutorial.py:
diff --git a/main/_sources/tutorials/subtractive_synthesis_tutorial.rst.txt b/main/_sources/tutorials/subtractive_synthesis_tutorial.rst.txt
index 8686ebd130f..6b950b6fe2b 100644
--- a/main/_sources/tutorials/subtractive_synthesis_tutorial.rst.txt
+++ b/main/_sources/tutorials/subtractive_synthesis_tutorial.rst.txt
@@ -56,8 +56,8 @@ Subtractive synthesis creates timbre by applying filters to source waveform.
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
 
 
 
@@ -648,7 +648,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  8.130 seconds)
+   **Total running time of the script:** ( 0 minutes  7.964 seconds)
 
 
 .. _sphx_glr_download_tutorials_subtractive_synthesis_tutorial.py:
diff --git a/main/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt b/main/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt
index 62028f399fb..42ae2368a49 100644
--- a/main/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt
+++ b/main/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt
@@ -102,8 +102,8 @@ encoding.
 
  .. code-block:: none
 
-    2.4.0.dev20240423
-    2.2.0.dev20240424
+    2.4.0.dev20240502
+    2.2.0.dev20240503
     cuda
 
 
@@ -295,7 +295,7 @@ fetched.
 
  .. code-block:: none
 
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     /pytorch/audio/ci_env/lib/python3.10/site-packages/torch/nn/modules/transformer.py:306: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
       warnings.warn(f"enable_nested_tensor is True, but self.use_nested_tensor is False because {why_not_sparsity_fast_path}")
     tensor([[54, 20, 65, 69, 11, 92, 44, 65, 38,  2, 11, 81, 40, 64, 79, 81, 11, 81,
@@ -391,7 +391,7 @@ For the available bundles, and its usage, please refer to
     /pytorch/audio/ci_env/lib/python3.10/site-packages/torch/nn/modules/transformer.py:306: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
       warnings.warn(f"enable_nested_tensor is True, but self.use_nested_tensor is False because {why_not_sparsity_fast_path}")
     Downloading: "https://download.pytorch.org/torchaudio/models/tacotron2_english_phonemes_1500_epochs_wavernn_ljspeech.pth" to /root/.cache/torch/hub/checkpoints/tacotron2_english_phonemes_1500_epochs_wavernn_ljspeech.pth
-
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+
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@@ -492,7 +492,7 @@ WaveRNN model from the same bundle.
     /pytorch/audio/ci_env/lib/python3.10/site-packages/torch/nn/modules/transformer.py:306: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
       warnings.warn(f"enable_nested_tensor is True, but self.use_nested_tensor is False because {why_not_sparsity_fast_path}")
     Downloading: "https://download.pytorch.org/torchaudio/models/wavernn_10k_epochs_8bits_ljspeech.pth" to /root/.cache/torch/hub/checkpoints/wavernn_10k_epochs_8bits_ljspeech.pth
-
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+
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@@ -580,7 +580,7 @@ method and pass the spectrogram.
     /pytorch/audio/ci_env/lib/python3.10/site-packages/torch/nn/modules/transformer.py:306: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
       warnings.warn(f"enable_nested_tensor is True, but self.use_nested_tensor is False because {why_not_sparsity_fast_path}")
     Downloading: "https://download.pytorch.org/torchaudio/models/tacotron2_english_phonemes_1500_epochs_ljspeech.pth" to /root/.cache/torch/hub/checkpoints/tacotron2_english_phonemes_1500_epochs_ljspeech.pth
-
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@@ -708,7 +708,7 @@ module.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  17.877 seconds)
+   **Total running time of the script:** ( 1 minutes  10.328 seconds)
 
 
 .. _sphx_glr_download_tutorials_tacotron2_pipeline_tutorial.py:
diff --git a/main/_static/documentation_options.js b/main/_static/documentation_options.js
index c2b6bdb0bf3..0521d24b878 100644
--- a/main/_static/documentation_options.js
+++ b/main/_static/documentation_options.js
@@ -1,6 +1,6 @@
 var DOCUMENTATION_OPTIONS = {
     URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
-    VERSION: '2.2.0.dev20240424',
+    VERSION: '2.2.0.dev20240503',
     LANGUAGE: 'en',
     COLLAPSE_INDEX: false,
     BUILDER: 'html',
diff --git a/main/build.ffmpeg.html b/main/build.ffmpeg.html
index ae159daa7c0..6af253013dc 100644
--- a/main/build.ffmpeg.html
+++ b/main/build.ffmpeg.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Enabling GPU video decoder/encoder &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Enabling GPU video decoder/encoder &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/build.html b/main/build.html
index 997605a3653..e915c257577 100644
--- a/main/build.html
+++ b/main/build.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Building from source &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Building from source &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/build.jetson.html b/main/build.jetson.html
index 4c96ad721cc..cd8018a6e6c 100644
--- a/main/build.jetson.html
+++ b/main/build.jetson.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Building on Jetson &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Building on Jetson &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/build.linux.html b/main/build.linux.html
index 727a63b6887..dc9c366590b 100644
--- a/main/build.linux.html
+++ b/main/build.linux.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Building on Linux and macOS &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Building on Linux and macOS &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/build.windows.html b/main/build.windows.html
index b8100a1f6e3..70a4f714aed 100644
--- a/main/build.windows.html
+++ b/main/build.windows.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Building on Windows &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Building on Windows &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/compliance.kaldi.html b/main/compliance.kaldi.html
index 37f85426b08..c2deb0d27b7 100644
--- a/main/compliance.kaldi.html
+++ b/main/compliance.kaldi.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.compliance.kaldi &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.compliance.kaldi &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/datasets.html b/main/datasets.html
index ca3b903e4ca..aad2b9dca69 100644
--- a/main/datasets.html
+++ b/main/datasets.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.datasets &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.datasets &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -436,10 +436,10 @@
               
   <span class="target" id="module-torchaudio.datasets"></span><section id="torchaudio-datasets">
 <h1>torchaudio.datasets<a class="headerlink" href="#torchaudio-datasets" title="Permalink to this heading">¶</a></h1>
-<p>All datasets are subclasses of <a class="reference external" href="https://pytorch.org/docs/stable/data.html#torch.utils.data.Dataset" title="(in PyTorch v2.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.utils.data.Dataset</span></code></a>
+<p>All datasets are subclasses of <a class="reference external" href="https://pytorch.org/docs/stable/data.html#torch.utils.data.Dataset" title="(in PyTorch v2.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.utils.data.Dataset</span></code></a>
 and have <code class="docutils literal notranslate"><span class="pre">__getitem__</span></code> and <code class="docutils literal notranslate"><span class="pre">__len__</span></code> methods implemented.</p>
-<p>Hence, they can all be passed to a <a class="reference external" href="https://pytorch.org/docs/stable/data.html#torch.utils.data.DataLoader" title="(in PyTorch v2.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.utils.data.DataLoader</span></code></a>
-which can load multiple samples parallelly using <a class="reference external" href="https://pytorch.org/docs/stable/multiprocessing.html#module-torch.multiprocessing" title="(in PyTorch v2.2)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">torch.multiprocessing</span></code></a> workers.
+<p>Hence, they can all be passed to a <a class="reference external" href="https://pytorch.org/docs/stable/data.html#torch.utils.data.DataLoader" title="(in PyTorch v2.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.utils.data.DataLoader</span></code></a>
+which can load multiple samples parallelly using <a class="reference external" href="https://pytorch.org/docs/stable/multiprocessing.html#module-torch.multiprocessing" title="(in PyTorch v2.3)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">torch.multiprocessing</span></code></a> workers.
 For example:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">yesno_data</span> <span class="o">=</span> <span class="n">torchaudio</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">YESNO</span><span class="p">(</span><span class="s1">&#39;.&#39;</span><span class="p">,</span> <span class="n">download</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
 <span class="n">data_loader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span>
diff --git a/main/feature_classifications.html b/main/feature_classifications.html
index c88bf5205bf..e62c08edfa1 100644
--- a/main/feature_classifications.html
+++ b/main/feature_classifications.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Feature Classifications &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Feature Classifications &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/functional.html b/main/functional.html
index 7daca6597f8..02bbb35d9d4 100644
--- a/main/functional.html
+++ b/main/functional.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.compliance.kaldi.fbank.html b/main/generated/torchaudio.compliance.kaldi.fbank.html
index e856e830345..a724e643765 100644
--- a/main/generated/torchaudio.compliance.kaldi.fbank.html
+++ b/main/generated/torchaudio.compliance.kaldi.fbank.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.compliance.kaldi.fbank &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.compliance.kaldi.fbank &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.compliance.kaldi.fbank<a class="headerlink" href="#torchaudio-compliance-kaldi-fbank" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.compliance.kaldi.fbank">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.compliance.kaldi.</span></span><span class="sig-name descname"><span class="pre">fbank</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blackman_coeff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.42</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dither</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energy_floor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">25.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">htk_compat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">low_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_duration</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_mel_bins</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">23</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preemphasis_coefficient</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.97</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">raw_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_dc_offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">round_to_power_of_two</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_frequency</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">snip_edges</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">subtract_mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_log_fbank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_power</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_high</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-500.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_low</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_warp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'povey'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/compliance/kaldi.html#fbank"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.compliance.kaldi.fbank" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.compliance.kaldi.</span></span><span class="sig-name descname"><span class="pre">fbank</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blackman_coeff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.42</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dither</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energy_floor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">25.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">htk_compat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">low_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_duration</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_mel_bins</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">23</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preemphasis_coefficient</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.97</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">raw_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_dc_offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">round_to_power_of_two</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_frequency</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">snip_edges</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">subtract_mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_log_fbank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_power</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_high</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-500.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_low</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_warp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'povey'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/compliance/kaldi.html#fbank"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.compliance.kaldi.fbank" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create a fbank from a raw audio signal. This matches the input/output of Kaldi’s
 compute-fbank-feats.</p>
 <dl class="field-list simple">
diff --git a/main/generated/torchaudio.compliance.kaldi.mfcc.html b/main/generated/torchaudio.compliance.kaldi.mfcc.html
index c0a838b820c..49626d4aa00 100644
--- a/main/generated/torchaudio.compliance.kaldi.mfcc.html
+++ b/main/generated/torchaudio.compliance.kaldi.mfcc.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.compliance.kaldi.mfcc &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.compliance.kaldi.mfcc &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.compliance.kaldi.mfcc<a class="headerlink" href="#torchaudio-compliance-kaldi-mfcc" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.compliance.kaldi.mfcc">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.compliance.kaldi.</span></span><span class="sig-name descname"><span class="pre">mfcc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blackman_coeff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.42</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cepstral_lifter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">22.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dither</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energy_floor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">25.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">htk_compat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">low_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_ceps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">13</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_duration</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_mel_bins</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">23</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preemphasis_coefficient</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.97</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">raw_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_dc_offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">round_to_power_of_two</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_frequency</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">snip_edges</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">subtract_mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_high</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-500.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_low</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_warp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'povey'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/compliance/kaldi.html#mfcc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.compliance.kaldi.mfcc" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.compliance.kaldi.</span></span><span class="sig-name descname"><span class="pre">mfcc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blackman_coeff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.42</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cepstral_lifter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">22.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dither</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energy_floor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">25.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">htk_compat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">low_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_ceps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">13</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_duration</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_mel_bins</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">23</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preemphasis_coefficient</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.97</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">raw_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_dc_offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">round_to_power_of_two</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_frequency</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">snip_edges</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">subtract_mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_high</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-500.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_low</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_warp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'povey'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/compliance/kaldi.html#mfcc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.compliance.kaldi.mfcc" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create a mfcc from a raw audio signal. This matches the input/output of Kaldi’s
 compute-mfcc-feats.</p>
 <dl class="field-list simple">
diff --git a/main/generated/torchaudio.compliance.kaldi.spectrogram.html b/main/generated/torchaudio.compliance.kaldi.spectrogram.html
index 23a0f803021..0fd3e6d6be4 100644
--- a/main/generated/torchaudio.compliance.kaldi.spectrogram.html
+++ b/main/generated/torchaudio.compliance.kaldi.spectrogram.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.compliance.kaldi.spectrogram &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.compliance.kaldi.spectrogram &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.compliance.kaldi.spectrogram<a class="headerlink" href="#torchaudio-compliance-kaldi-spectrogram" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.compliance.kaldi.spectrogram">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.compliance.kaldi.</span></span><span class="sig-name descname"><span class="pre">spectrogram</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blackman_coeff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.42</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dither</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energy_floor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">25.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_duration</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preemphasis_coefficient</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.97</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">raw_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_dc_offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">round_to_power_of_two</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_frequency</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">snip_edges</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">subtract_mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'povey'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/compliance/kaldi.html#spectrogram"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.compliance.kaldi.spectrogram" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.compliance.kaldi.</span></span><span class="sig-name descname"><span class="pre">spectrogram</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blackman_coeff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.42</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dither</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energy_floor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">25.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_duration</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preemphasis_coefficient</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.97</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">raw_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_dc_offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">round_to_power_of_two</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_frequency</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">snip_edges</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">subtract_mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'povey'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/compliance/kaldi.html#spectrogram"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.compliance.kaldi.spectrogram" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create a spectrogram from a raw audio signal. This matches the input/output of Kaldi’s
 compute-spectrogram-feats.</p>
 <dl class="field-list simple">
diff --git a/main/generated/torchaudio.datasets.CMUARCTIC.html b/main/generated/torchaudio.datasets.CMUARCTIC.html
index 7e034e7820a..7cebb4676db 100644
--- a/main/generated/torchaudio.datasets.CMUARCTIC.html
+++ b/main/generated/torchaudio.datasets.CMUARCTIC.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>CMUARCTIC &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>CMUARCTIC &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -463,7 +463,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.CMUARCTIC.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">CMUARCTIC.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/cmuarctic.html#CMUARCTIC.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.CMUARCTIC.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CMUARCTIC.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/cmuarctic.html#CMUARCTIC.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.CMUARCTIC.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.CMUDict.html b/main/generated/torchaudio.datasets.CMUDict.html
index 620895e23c4..51dbba0e458 100644
--- a/main/generated/torchaudio.datasets.CMUDict.html
+++ b/main/generated/torchaudio.datasets.CMUDict.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>CMUDict &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>CMUDict &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.datasets.COMMONVOICE.html b/main/generated/torchaudio.datasets.COMMONVOICE.html
index 5d80cbddd7c..4f5bb8113b0 100644
--- a/main/generated/torchaudio.datasets.COMMONVOICE.html
+++ b/main/generated/torchaudio.datasets.COMMONVOICE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>COMMONVOICE &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>COMMONVOICE &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -460,7 +460,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.COMMONVOICE.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">COMMONVOICE.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Dict" title="(in Python v3.12)"><span class="pre">Dict</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/commonvoice.html#COMMONVOICE.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.COMMONVOICE.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">COMMONVOICE.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Dict" title="(in Python v3.12)"><span class="pre">Dict</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/commonvoice.html#COMMONVOICE.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.COMMONVOICE.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.DR_VCTK.html b/main/generated/torchaudio.datasets.DR_VCTK.html
index d5c894f0037..70b55c21904 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>DR_VCTK &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>DR_VCTK &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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@@ -460,7 +460,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.DR_VCTK.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">DR_VCTK.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/dr_vctk.html#DR_VCTK.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.DR_VCTK.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DR_VCTK.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/dr_vctk.html#DR_VCTK.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.DR_VCTK.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.FluentSpeechCommands.html b/main/generated/torchaudio.datasets.FluentSpeechCommands.html
index e93cd1ac6f7..2f842688e12 100644
--- a/main/generated/torchaudio.datasets.FluentSpeechCommands.html
+++ b/main/generated/torchaudio.datasets.FluentSpeechCommands.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>FluentSpeechCommands &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>FluentSpeechCommands &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -459,7 +459,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.FluentSpeechCommands.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">FluentSpeechCommands.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/fluentcommands.html#FluentSpeechCommands.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.FluentSpeechCommands.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FluentSpeechCommands.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/fluentcommands.html#FluentSpeechCommands.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.FluentSpeechCommands.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.GTZAN.html b/main/generated/torchaudio.datasets.GTZAN.html
index 9946469d088..393eceddd77 100644
--- a/main/generated/torchaudio.datasets.GTZAN.html
+++ b/main/generated/torchaudio.datasets.GTZAN.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>GTZAN &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>GTZAN &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -473,7 +473,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.GTZAN.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">GTZAN.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/gtzan.html#GTZAN.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.GTZAN.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">GTZAN.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/gtzan.html#GTZAN.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.GTZAN.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.IEMOCAP.html b/main/generated/torchaudio.datasets.IEMOCAP.html
index e82d45581d7..ec63dc35b54 100644
--- a/main/generated/torchaudio.datasets.IEMOCAP.html
+++ b/main/generated/torchaudio.datasets.IEMOCAP.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>IEMOCAP &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>IEMOCAP &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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@@ -460,7 +460,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.IEMOCAP.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">IEMOCAP.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/iemocap.html#IEMOCAP.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.IEMOCAP.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">IEMOCAP.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/iemocap.html#IEMOCAP.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.IEMOCAP.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.LIBRISPEECH.html b/main/generated/torchaudio.datasets.LIBRISPEECH.html
index f985e83f2e2..208ca1b510b 100644
--- a/main/generated/torchaudio.datasets.LIBRISPEECH.html
+++ b/main/generated/torchaudio.datasets.LIBRISPEECH.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>LIBRISPEECH &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>LIBRISPEECH &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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@@ -463,7 +463,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.LIBRISPEECH.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">LIBRISPEECH.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/librispeech.html#LIBRISPEECH.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.LIBRISPEECH.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">LIBRISPEECH.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/librispeech.html#LIBRISPEECH.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.LIBRISPEECH.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.LIBRITTS.html b/main/generated/torchaudio.datasets.LIBRITTS.html
index b3d00ecc209..d63b403e141 100644
--- a/main/generated/torchaudio.datasets.LIBRITTS.html
+++ b/main/generated/torchaudio.datasets.LIBRITTS.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>LIBRITTS &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>LIBRITTS &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -463,7 +463,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.LIBRITTS.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">LIBRITTS.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/libritts.html#LIBRITTS.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.LIBRITTS.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">LIBRITTS.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/libritts.html#LIBRITTS.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.LIBRITTS.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.LJSPEECH.html b/main/generated/torchaudio.datasets.LJSPEECH.html
index ef2f07cb83e..d1c2239e282 100644
--- a/main/generated/torchaudio.datasets.LJSPEECH.html
+++ b/main/generated/torchaudio.datasets.LJSPEECH.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>LJSPEECH &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>LJSPEECH &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -460,7 +460,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.LJSPEECH.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">LJSPEECH.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/ljspeech.html#LJSPEECH.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.LJSPEECH.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">LJSPEECH.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/ljspeech.html#LJSPEECH.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.LJSPEECH.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.LibriLightLimited.html b/main/generated/torchaudio.datasets.LibriLightLimited.html
index 4ccdcfb4929..28b95e08694 100644
--- a/main/generated/torchaudio.datasets.LibriLightLimited.html
+++ b/main/generated/torchaudio.datasets.LibriLightLimited.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>LibriLightLimited &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>LibriLightLimited &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -460,7 +460,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.LibriLightLimited.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">LibriLightLimited.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/librilight_limited.html#LibriLightLimited.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.LibriLightLimited.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">LibriLightLimited.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/librilight_limited.html#LibriLightLimited.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.LibriLightLimited.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.LibriMix.html b/main/generated/torchaudio.datasets.LibriMix.html
index 20b90838373..cd757964ced 100644
--- a/main/generated/torchaudio.datasets.LibriMix.html
+++ b/main/generated/torchaudio.datasets.LibriMix.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>LibriMix &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>LibriMix &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -477,7 +477,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.LibriMix.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">LibriMix.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/librimix.html#LibriMix.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.LibriMix.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">LibriMix.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/librimix.html#LibriMix.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.LibriMix.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.MUSDB_HQ.html b/main/generated/torchaudio.datasets.MUSDB_HQ.html
index 6403af6e1b2..b64604cac18 100644
--- a/main/generated/torchaudio.datasets.MUSDB_HQ.html
+++ b/main/generated/torchaudio.datasets.MUSDB_HQ.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>MUSDB_HQ &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>MUSDB_HQ &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -466,7 +466,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.MUSDB_HQ.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">MUSDB_HQ.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/musdb_hq.html#MUSDB_HQ.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.MUSDB_HQ.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">MUSDB_HQ.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/musdb_hq.html#MUSDB_HQ.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.MUSDB_HQ.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.QUESST14.html b/main/generated/torchaudio.datasets.QUESST14.html
index fa76d142104..7e7de501772 100644
--- a/main/generated/torchaudio.datasets.QUESST14.html
+++ b/main/generated/torchaudio.datasets.QUESST14.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>QUESST14 &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>QUESST14 &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -462,7 +462,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.QUESST14.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">QUESST14.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/quesst14.html#QUESST14.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.QUESST14.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">QUESST14.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/quesst14.html#QUESST14.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.QUESST14.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.SPEECHCOMMANDS.html b/main/generated/torchaudio.datasets.SPEECHCOMMANDS.html
index db6dc3cf0f0..b533d04a611 100644
--- a/main/generated/torchaudio.datasets.SPEECHCOMMANDS.html
+++ b/main/generated/torchaudio.datasets.SPEECHCOMMANDS.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SPEECHCOMMANDS &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>SPEECHCOMMANDS &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -468,7 +468,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.SPEECHCOMMANDS.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">SPEECHCOMMANDS.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/speechcommands.html#SPEECHCOMMANDS.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.SPEECHCOMMANDS.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">SPEECHCOMMANDS.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/speechcommands.html#SPEECHCOMMANDS.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.SPEECHCOMMANDS.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.Snips.html b/main/generated/torchaudio.datasets.Snips.html
index 9451dd7fc40..53846b31e0d 100644
--- a/main/generated/torchaudio.datasets.Snips.html
+++ b/main/generated/torchaudio.datasets.Snips.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Snips &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Snips &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -461,7 +461,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.Snips.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">Snips.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/snips.html#Snips.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.Snips.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Snips.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/snips.html#Snips.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.Snips.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.TEDLIUM.html b/main/generated/torchaudio.datasets.TEDLIUM.html
index 89da6aa6aa5..cb6f4f820e9 100644
--- a/main/generated/torchaudio.datasets.TEDLIUM.html
+++ b/main/generated/torchaudio.datasets.TEDLIUM.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>TEDLIUM &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>TEDLIUM &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -486,7 +486,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.TEDLIUM.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">TEDLIUM.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/tedlium.html#TEDLIUM.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.TEDLIUM.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">TEDLIUM.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/tedlium.html#TEDLIUM.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.TEDLIUM.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.VCTK_092.html b/main/generated/torchaudio.datasets.VCTK_092.html
index 8422dc38b97..3b1d04a653d 100644
--- a/main/generated/torchaudio.datasets.VCTK_092.html
+++ b/main/generated/torchaudio.datasets.VCTK_092.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VCTK_092 &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>VCTK_092 &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -470,7 +470,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.VCTK_092.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">VCTK_092.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/vctk.html#VCTK_092.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.VCTK_092.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">VCTK_092.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/vctk.html#VCTK_092.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.VCTK_092.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.VoxCeleb1Identification.html b/main/generated/torchaudio.datasets.VoxCeleb1Identification.html
index 43426c64a35..c9eae0e9ed0 100644
--- a/main/generated/torchaudio.datasets.VoxCeleb1Identification.html
+++ b/main/generated/torchaudio.datasets.VoxCeleb1Identification.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VoxCeleb1Identification &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>VoxCeleb1Identification &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -474,7 +474,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.VoxCeleb1Identification.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">VoxCeleb1Identification.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/voxceleb1.html#VoxCeleb1Identification.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.VoxCeleb1Identification.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">VoxCeleb1Identification.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/voxceleb1.html#VoxCeleb1Identification.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.VoxCeleb1Identification.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.VoxCeleb1Verification.html b/main/generated/torchaudio.datasets.VoxCeleb1Verification.html
index f506129c2b9..a76e4247f38 100644
--- a/main/generated/torchaudio.datasets.VoxCeleb1Verification.html
+++ b/main/generated/torchaudio.datasets.VoxCeleb1Verification.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VoxCeleb1Verification &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>VoxCeleb1Verification &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -475,7 +475,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.VoxCeleb1Verification.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">VoxCeleb1Verification.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/voxceleb1.html#VoxCeleb1Verification.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.VoxCeleb1Verification.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">VoxCeleb1Verification.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/voxceleb1.html#VoxCeleb1Verification.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.VoxCeleb1Verification.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.YESNO.html b/main/generated/torchaudio.datasets.YESNO.html
index 5e3a68b9637..6b2afa485ba 100644
--- a/main/generated/torchaudio.datasets.YESNO.html
+++ b/main/generated/torchaudio.datasets.YESNO.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>YESNO &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>YESNO &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -466,7 +466,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.YESNO.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">YESNO.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/yesno.html#YESNO.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.YESNO.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">YESNO.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/yesno.html#YESNO.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.YESNO.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.functional.DB_to_amplitude.html b/main/generated/torchaudio.functional.DB_to_amplitude.html
index 45f86332f27..a1fdb781147 100644
--- a/main/generated/torchaudio.functional.DB_to_amplitude.html
+++ b/main/generated/torchaudio.functional.DB_to_amplitude.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.DB_to_amplitude &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.DB_to_amplitude &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.DB_to_amplitude<a class="headerlink" href="#torchaudio-functional-db-to-amplitude" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.DB_to_amplitude">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">DB_to_amplitude</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">power</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#DB_to_amplitude"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.DB_to_amplitude" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">DB_to_amplitude</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">power</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#DB_to_amplitude"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.DB_to_amplitude" title="Permalink to this definition">¶</a></dt>
 <dd><p>Turn a tensor from the decibel scale to the power/amplitude scale.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.TokenSpan.html b/main/generated/torchaudio.functional.TokenSpan.html
index ecd9e10e9ac..8c20acabf04 100644
--- a/main/generated/torchaudio.functional.TokenSpan.html
+++ b/main/generated/torchaudio.functional.TokenSpan.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>TokenSpan &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>TokenSpan &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.functional.add_noise.html b/main/generated/torchaudio.functional.add_noise.html
index c6d3c2a8ff5..486d6d3628d 100644
--- a/main/generated/torchaudio.functional.add_noise.html
+++ b/main/generated/torchaudio.functional.add_noise.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.add_noise &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.add_noise &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.add_noise<a class="headerlink" href="#torchaudio-functional-add-noise" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.add_noise">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">add_noise</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">snr</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#add_noise"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.add_noise" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">add_noise</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">snr</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#add_noise"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.add_noise" title="Permalink to this definition">¶</a></dt>
 <dd><p>Scales and adds noise to waveform per signal-to-noise ratio.</p>
 <p>Specifically, for each pair of waveform vector <span class="math">\(x \in \mathbb{R}^L\)</span> and noise vector
 <span class="math">\(n \in \mathbb{R}^L\)</span>, the function computes output <span class="math">\(y\)</span> as</p>
@@ -461,10 +461,10 @@ <h1>torchaudio.functional.add_noise<a class="headerlink" href="#torchaudio-funct
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Input waveform, with shape <cite>(…, L)</cite>.</p></li>
-<li><p><strong>noise</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Noise, with shape <cite>(…, L)</cite> (same shape as <code class="docutils literal notranslate"><span class="pre">waveform</span></code>).</p></li>
-<li><p><strong>snr</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Signal-to-noise ratios in dB, with shape <cite>(…,)</cite>.</p></li>
-<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Valid lengths of signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code> and <code class="docutils literal notranslate"><span class="pre">noise</span></code>, with shape
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Input waveform, with shape <cite>(…, L)</cite>.</p></li>
+<li><p><strong>noise</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Noise, with shape <cite>(…, L)</cite> (same shape as <code class="docutils literal notranslate"><span class="pre">waveform</span></code>).</p></li>
+<li><p><strong>snr</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Signal-to-noise ratios in dB, with shape <cite>(…,)</cite>.</p></li>
+<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Valid lengths of signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code> and <code class="docutils literal notranslate"><span class="pre">noise</span></code>, with shape
 <cite>(…,)</cite> (leading dimensions must match those of <code class="docutils literal notranslate"><span class="pre">waveform</span></code>). If <code class="docutils literal notranslate"><span class="pre">None</span></code>, all elements in <code class="docutils literal notranslate"><span class="pre">waveform</span></code>
 and <code class="docutils literal notranslate"><span class="pre">noise</span></code> are treated as valid. (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 </ul>
@@ -474,7 +474,7 @@ <h1>torchaudio.functional.add_noise<a class="headerlink" href="#torchaudio-funct
 (same shape as <code class="docutils literal notranslate"><span class="pre">waveform</span></code>).</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 <dl>
diff --git a/main/generated/torchaudio.functional.allpass_biquad.html b/main/generated/torchaudio.functional.allpass_biquad.html
index e66a3de2034..9d9c7fc003b 100644
--- a/main/generated/torchaudio.functional.allpass_biquad.html
+++ b/main/generated/torchaudio.functional.allpass_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.allpass_biquad &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.allpass_biquad &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,17 +440,17 @@
 <h1>torchaudio.functional.allpass_biquad<a class="headerlink" href="#torchaudio-functional-allpass-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.allpass_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">allpass_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#allpass_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.allpass_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">allpass_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#allpass_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.allpass_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Design two-pole all-pass filter.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – sampling rate of the waveform, e.g. 44100 (Hz)</p></li>
-<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – central frequency (in Hz)</p></li>
-<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
+<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – central frequency (in Hz)</p></li>
+<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.functional.amplitude_to_DB.html b/main/generated/torchaudio.functional.amplitude_to_DB.html
index 75967cad77f..97f308ee603 100644
--- a/main/generated/torchaudio.functional.amplitude_to_DB.html
+++ b/main/generated/torchaudio.functional.amplitude_to_DB.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.amplitude_to_DB &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.amplitude_to_DB &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.amplitude_to_DB<a class="headerlink" href="#torchaudio-functional-amplitude-to-db" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.amplitude_to_DB">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">amplitude_to_DB</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">multiplier</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">amin</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">db_multiplier</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#amplitude_to_DB"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.amplitude_to_DB" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">amplitude_to_DB</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">multiplier</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">amin</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">db_multiplier</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#amplitude_to_DB"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.amplitude_to_DB" title="Permalink to this definition">¶</a></dt>
 <dd><p>Turn a spectrogram from the power/amplitude scale to the decibel scale.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.apply_beamforming.html b/main/generated/torchaudio.functional.apply_beamforming.html
index d01d264419a..5c52a92f640 100644
--- a/main/generated/torchaudio.functional.apply_beamforming.html
+++ b/main/generated/torchaudio.functional.apply_beamforming.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.apply_beamforming &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.apply_beamforming &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.apply_beamforming<a class="headerlink" href="#torchaudio-functional-apply-beamforming" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.apply_beamforming">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">apply_beamforming</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">beamform_weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#apply_beamforming"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.apply_beamforming" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">apply_beamforming</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">beamform_weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#apply_beamforming"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.apply_beamforming" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply the beamforming weight to the multi-channel noisy spectrum to obtain the single-channel enhanced spectrum.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.apply_codec.html b/main/generated/torchaudio.functional.apply_codec.html
index ee93383d997..0141a8d587f 100644
--- a/main/generated/torchaudio.functional.apply_codec.html
+++ b/main/generated/torchaudio.functional.apply_codec.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.apply_codec &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.apply_codec &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.apply_codec<a class="headerlink" href="#torchaudio-functional-apply-codec" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.apply_codec">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">apply_codec</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels_first</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compression</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bits_per_sample</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#apply_codec"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.apply_codec" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">apply_codec</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels_first</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compression</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bits_per_sample</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#apply_codec"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.apply_codec" title="Permalink to this definition">¶</a></dt>
 <dd><p>DEPRECATED:
 Apply codecs as a form of augmentation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU" class="shield-badge" src="../_images/e293eae5f4516a625dc07ed0eed1ff8b2f18eef5a9da1f8561cc97c78ab0600c.svg" /></a>
diff --git a/main/generated/torchaudio.functional.band_biquad.html b/main/generated/torchaudio.functional.band_biquad.html
index 29489b6fd1e..0dcf93016b8 100644
--- a/main/generated/torchaudio.functional.band_biquad.html
+++ b/main/generated/torchaudio.functional.band_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.band_biquad &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.band_biquad &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.band_biquad<a class="headerlink" href="#torchaudio-functional-band-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.band_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">band_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#band_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.band_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">band_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#band_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.band_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Design two-pole band filter.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -449,8 +449,8 @@ <h1>torchaudio.functional.band_biquad<a class="headerlink" href="#torchaudio-fun
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>waveform</strong> (<em>Tensor</em>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – sampling rate of the waveform, e.g. 44100 (Hz)</p></li>
-<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – central frequency (in Hz)</p></li>
-<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>).</p></li>
+<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – central frequency (in Hz)</p></li>
+<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>).</p></li>
 <li><p><strong>noise</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>optional</em>) – If <code class="docutils literal notranslate"><span class="pre">True</span></code>, uses the alternate mode for un-pitched audio (e.g. percussion).
 If <code class="docutils literal notranslate"><span class="pre">False</span></code>, uses mode oriented to pitched audio, i.e. voice, singing,
 or instrumental music (Default: <code class="docutils literal notranslate"><span class="pre">False</span></code>).</p></li>
diff --git a/main/generated/torchaudio.functional.bandpass_biquad.html b/main/generated/torchaudio.functional.bandpass_biquad.html
index f990e80908a..74019960d11 100644
--- a/main/generated/torchaudio.functional.bandpass_biquad.html
+++ b/main/generated/torchaudio.functional.bandpass_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.bandpass_biquad &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.bandpass_biquad &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.bandpass_biquad<a class="headerlink" href="#torchaudio-functional-bandpass-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.bandpass_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">bandpass_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">const_skirt_gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#bandpass_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.bandpass_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">bandpass_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">const_skirt_gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#bandpass_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.bandpass_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Design two-pole band-pass filter.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -449,8 +449,8 @@ <h1>torchaudio.functional.bandpass_biquad<a class="headerlink" href="#torchaudio
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>waveform</strong> (<em>Tensor</em>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – sampling rate of the waveform, e.g. 44100 (Hz)</p></li>
-<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – central frequency (in Hz)</p></li>
-<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
+<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – central frequency (in Hz)</p></li>
+<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
 <li><p><strong>const_skirt_gain</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>optional</em>) – If <code class="docutils literal notranslate"><span class="pre">True</span></code>, uses a constant skirt gain (peak gain = Q).
 If <code class="docutils literal notranslate"><span class="pre">False</span></code>, uses a constant 0dB peak gain. (Default: <code class="docutils literal notranslate"><span class="pre">False</span></code>)</p></li>
 </ul>
diff --git a/main/generated/torchaudio.functional.bandreject_biquad.html b/main/generated/torchaudio.functional.bandreject_biquad.html
index 534c03a29f3..d9f010a006e 100644
--- a/main/generated/torchaudio.functional.bandreject_biquad.html
+++ b/main/generated/torchaudio.functional.bandreject_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.bandreject_biquad &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.bandreject_biquad &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.bandreject_biquad<a class="headerlink" href="#torchaudio-functional-bandreject-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.bandreject_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">bandreject_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#bandreject_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.bandreject_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">bandreject_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#bandreject_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.bandreject_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Design two-pole band-reject filter.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -449,8 +449,8 @@ <h1>torchaudio.functional.bandreject_biquad<a class="headerlink" href="#torchaud
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>waveform</strong> (<em>Tensor</em>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – sampling rate of the waveform, e.g. 44100 (Hz)</p></li>
-<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – central frequency (in Hz)</p></li>
-<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
+<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – central frequency (in Hz)</p></li>
+<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.functional.bass_biquad.html b/main/generated/torchaudio.functional.bass_biquad.html
index 9ebb742f04e..45492ea3462 100644
--- a/main/generated/torchaudio.functional.bass_biquad.html
+++ b/main/generated/torchaudio.functional.bass_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.bass_biquad &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.bass_biquad &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.bass_biquad<a class="headerlink" href="#torchaudio-functional-bass-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.bass_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">bass_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#bass_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.bass_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">bass_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#bass_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.bass_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Design a bass tone-control effect.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -449,9 +449,9 @@ <h1>torchaudio.functional.bass_biquad<a class="headerlink" href="#torchaudio-fun
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>waveform</strong> (<em>Tensor</em>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – sampling rate of the waveform, e.g. 44100 (Hz)</p></li>
-<li><p><strong>gain</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – desired gain at the boost (or attenuation) in dB.</p></li>
-<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – central frequency (in Hz). (Default: <code class="docutils literal notranslate"><span class="pre">100</span></code>)</p></li>
-<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>).</p></li>
+<li><p><strong>gain</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – desired gain at the boost (or attenuation) in dB.</p></li>
+<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – central frequency (in Hz). (Default: <code class="docutils literal notranslate"><span class="pre">100</span></code>)</p></li>
+<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>).</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.functional.biquad.html b/main/generated/torchaudio.functional.biquad.html
index 3c0cfe1afe2..ee3c9be2e25 100644
--- a/main/generated/torchaudio.functional.biquad.html
+++ b/main/generated/torchaudio.functional.biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.biquad &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.biquad &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.biquad<a class="headerlink" href="#torchaudio-functional-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">b0</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">b1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">b2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">a0</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">a1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">a2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">b0</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">b1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">b2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">a0</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">a1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">a2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Perform a biquad filter of input tensor.  Initial conditions set to 0.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -448,12 +448,12 @@ <h1>torchaudio.functional.biquad<a class="headerlink" href="#torchaudio-function
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>waveform</strong> (<em>Tensor</em>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
-<li><p><strong>b0</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – numerator coefficient of current input, x[n]</p></li>
-<li><p><strong>b1</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – numerator coefficient of input one time step ago x[n-1]</p></li>
-<li><p><strong>b2</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – numerator coefficient of input two time steps ago x[n-2]</p></li>
-<li><p><strong>a0</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – denominator coefficient of current output y[n], typically 1</p></li>
-<li><p><strong>a1</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – denominator coefficient of current output y[n-1]</p></li>
-<li><p><strong>a2</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – denominator coefficient of current output y[n-2]</p></li>
+<li><p><strong>b0</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – numerator coefficient of current input, x[n]</p></li>
+<li><p><strong>b1</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – numerator coefficient of input one time step ago x[n-1]</p></li>
+<li><p><strong>b2</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – numerator coefficient of input two time steps ago x[n-2]</p></li>
+<li><p><strong>a0</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – denominator coefficient of current output y[n], typically 1</p></li>
+<li><p><strong>a1</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – denominator coefficient of current output y[n-1]</p></li>
+<li><p><strong>a2</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – denominator coefficient of current output y[n-2]</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.functional.compute_deltas.html b/main/generated/torchaudio.functional.compute_deltas.html
index fdaec03a859..4f98b7b09c2 100644
--- a/main/generated/torchaudio.functional.compute_deltas.html
+++ b/main/generated/torchaudio.functional.compute_deltas.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.compute_deltas &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.compute_deltas &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.compute_deltas<a class="headerlink" href="#torchaudio-functional-compute-deltas" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.compute_deltas">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">compute_deltas</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'replicate'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#compute_deltas"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.compute_deltas" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">compute_deltas</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'replicate'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#compute_deltas"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.compute_deltas" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute delta coefficients of a tensor, usually a spectrogram:</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.contrast.html b/main/generated/torchaudio.functional.contrast.html
index 067244dfd4f..14df923d795 100644
--- a/main/generated/torchaudio.functional.contrast.html
+++ b/main/generated/torchaudio.functional.contrast.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.contrast &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.contrast &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.contrast<a class="headerlink" href="#torchaudio-functional-contrast" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.contrast">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">contrast</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">enhancement_amount</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">75.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#contrast"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.contrast" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">contrast</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">enhancement_amount</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">75.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#contrast"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.contrast" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply contrast effect.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.convolve.html b/main/generated/torchaudio.functional.convolve.html
index 4f47489ca38..13bdea693ca 100644
--- a/main/generated/torchaudio.functional.convolve.html
+++ b/main/generated/torchaudio.functional.convolve.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.convolve &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.convolve &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.convolve<a class="headerlink" href="#torchaudio-functional-convolve" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.convolve">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">convolve</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'full'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#convolve"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.convolve" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">convolve</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'full'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#convolve"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.convolve" title="Permalink to this definition">¶</a></dt>
 <dd><p>Convolves inputs along their last dimension using the direct method.
 Note that, in contrast to <code class="xref py py-meth docutils literal notranslate"><span class="pre">torch.nn.functional.conv1d()</span></code>, which actually applies the valid cross-correlation
 operator, this function applies the true <a class="reference external" href="https://en.wikipedia.org/wiki/Convolution">convolution</a> operator.</p>
@@ -449,8 +449,8 @@ <h1>torchaudio.functional.convolve<a class="headerlink" href="#torchaudio-functi
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – First convolution operand, with shape <cite>(…, N)</cite>.</p></li>
-<li><p><strong>y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Second convolution operand, with shape <cite>(…, M)</cite>
+<li><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – First convolution operand, with shape <cite>(…, N)</cite>.</p></li>
+<li><p><strong>y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Second convolution operand, with shape <cite>(…, M)</cite>
 (leading dimensions must be broadcast-able with those of <code class="docutils literal notranslate"><span class="pre">x</span></code>).</p></li>
 <li><p><strong>mode</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>optional</em>) – <p>Must be one of (“full”, “valid”, “same”).</p>
 <ul>
@@ -467,7 +467,7 @@ <h1>torchaudio.functional.convolve<a class="headerlink" href="#torchaudio-functi
 the leading dimensions match those of <code class="docutils literal notranslate"><span class="pre">x</span></code> and <cite>L</cite> is dictated by <code class="docutils literal notranslate"><span class="pre">mode</span></code>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.functional.create_dct.html b/main/generated/torchaudio.functional.create_dct.html
index 03456ca347c..101576c7a48 100644
--- a/main/generated/torchaudio.functional.create_dct.html
+++ b/main/generated/torchaudio.functional.create_dct.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.create_dct &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.create_dct &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.create_dct<a class="headerlink" href="#torchaudio-functional-create-dct" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.create_dct">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">create_dct</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_mfcc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_mels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#create_dct"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.create_dct" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">create_dct</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_mfcc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_mels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#create_dct"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.create_dct" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create a DCT transformation matrix with shape (<code class="docutils literal notranslate"><span class="pre">n_mels</span></code>, <code class="docutils literal notranslate"><span class="pre">n_mfcc</span></code>),
 normalized depending on norm.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU" class="shield-badge" src="../_images/e293eae5f4516a625dc07ed0eed1ff8b2f18eef5a9da1f8561cc97c78ab0600c.svg" /></a>
diff --git a/main/generated/torchaudio.functional.dcshift.html b/main/generated/torchaudio.functional.dcshift.html
index 31d279e59c7..be86bb57ad0 100644
--- a/main/generated/torchaudio.functional.dcshift.html
+++ b/main/generated/torchaudio.functional.dcshift.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.dcshift &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.dcshift &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.dcshift<a class="headerlink" href="#torchaudio-functional-dcshift" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.dcshift">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">dcshift</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">limiter_gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#dcshift"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.dcshift" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">dcshift</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">limiter_gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#dcshift"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.dcshift" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply a DC shift to the audio. Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.deemph_biquad.html b/main/generated/torchaudio.functional.deemph_biquad.html
index 728a879fec8..11439b7d7f5 100644
--- a/main/generated/torchaudio.functional.deemph_biquad.html
+++ b/main/generated/torchaudio.functional.deemph_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.deemph_biquad &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.deemph_biquad &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.deemph_biquad<a class="headerlink" href="#torchaudio-functional-deemph-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.deemph_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">deemph_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#deemph_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.deemph_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">deemph_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#deemph_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.deemph_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply ISO 908 CD de-emphasis (shelving) IIR filter.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.deemphasis.html b/main/generated/torchaudio.functional.deemphasis.html
index 6497805868c..1343fa742e1 100644
--- a/main/generated/torchaudio.functional.deemphasis.html
+++ b/main/generated/torchaudio.functional.deemphasis.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.deemphasis &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.deemphasis &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.deemphasis<a class="headerlink" href="#torchaudio-functional-deemphasis" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.deemphasis">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">deemphasis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coeff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.97</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#deemphasis"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.deemphasis" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">deemphasis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coeff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.97</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#deemphasis"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.deemphasis" title="Permalink to this definition">¶</a></dt>
 <dd><p>De-emphasizes a waveform along its last dimension.
 Inverse of <a class="reference internal" href="torchaudio.functional.preemphasis.html#torchaudio.functional.preemphasis" title="torchaudio.functional.preemphasis"><code class="xref py py-meth docutils literal notranslate"><span class="pre">preemphasis()</span></code></a>. Concretely, for each signal
 <span class="math">\(x\)</span> in <code class="docutils literal notranslate"><span class="pre">waveform</span></code>, computes output <span class="math">\(y\)</span> as</p>
@@ -453,7 +453,7 @@ <h1>torchaudio.functional.deemphasis<a class="headerlink" href="#torchaudio-func
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Waveform, with shape <cite>(…, N)</cite>.</p></li>
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Waveform, with shape <cite>(…, N)</cite>.</p></li>
 <li><p><strong>coeff</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>optional</em>) – De-emphasis coefficient. Typically between 0.0 and 1.0.
 (Default: 0.97)</p></li>
 </ul>
@@ -462,7 +462,7 @@ <h1>torchaudio.functional.deemphasis<a class="headerlink" href="#torchaudio-func
 <dd class="field-even"><p>De-emphasized waveform, with shape <cite>(…, N)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.functional.detect_pitch_frequency.html b/main/generated/torchaudio.functional.detect_pitch_frequency.html
index ef3f3121c09..efd136bf504 100644
--- a/main/generated/torchaudio.functional.detect_pitch_frequency.html
+++ b/main/generated/torchaudio.functional.detect_pitch_frequency.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.detect_pitch_frequency &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.detect_pitch_frequency &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.detect_pitch_frequency<a class="headerlink" href="#torchaudio-functional-detect-pitch-frequency" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.detect_pitch_frequency">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">detect_pitch_frequency</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.01</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">freq_low</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">85</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">freq_high</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3400</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#detect_pitch_frequency"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.detect_pitch_frequency" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">detect_pitch_frequency</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.01</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">freq_low</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">85</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">freq_high</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3400</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#detect_pitch_frequency"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.detect_pitch_frequency" title="Permalink to this definition">¶</a></dt>
 <dd><p>Detect pitch frequency.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.dither.html b/main/generated/torchaudio.functional.dither.html
index fa0ccbd7f59..f15a747d525 100644
--- a/main/generated/torchaudio.functional.dither.html
+++ b/main/generated/torchaudio.functional.dither.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.dither &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.dither &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.dither<a class="headerlink" href="#torchaudio-functional-dither" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.dither">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">dither</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">density_function</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'TPDF'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_shaping</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#dither"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.dither" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">dither</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">density_function</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'TPDF'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_shaping</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#dither"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.dither" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply dither</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.edit_distance.html b/main/generated/torchaudio.functional.edit_distance.html
index 21ee386a059..3b3a9ed2223 100644
--- a/main/generated/torchaudio.functional.edit_distance.html
+++ b/main/generated/torchaudio.functional.edit_distance.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.edit_distance &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.edit_distance &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.functional.equalizer_biquad.html b/main/generated/torchaudio.functional.equalizer_biquad.html
index 72a29b7677f..0198ba8e26b 100644
--- a/main/generated/torchaudio.functional.equalizer_biquad.html
+++ b/main/generated/torchaudio.functional.equalizer_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.equalizer_biquad &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.equalizer_biquad &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.equalizer_biquad<a class="headerlink" href="#torchaudio-functional-equalizer-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.equalizer_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">equalizer_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">center_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#equalizer_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.equalizer_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">equalizer_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">center_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#equalizer_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.equalizer_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Design biquad peaking equalizer filter and perform filtering.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -450,8 +450,8 @@ <h1>torchaudio.functional.equalizer_biquad<a class="headerlink" href="#torchaudi
 <li><p><strong>waveform</strong> (<em>Tensor</em>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – sampling rate of the waveform, e.g. 44100 (Hz)</p></li>
 <li><p><strong>center_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – filter’s central frequency</p></li>
-<li><p><strong>gain</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – desired gain at the boost (or attenuation) in dB</p></li>
-<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
+<li><p><strong>gain</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – desired gain at the boost (or attenuation) in dB</p></li>
+<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.functional.fftconvolve.html b/main/generated/torchaudio.functional.fftconvolve.html
index 77f9c887461..3bd78ace47f 100644
--- a/main/generated/torchaudio.functional.fftconvolve.html
+++ b/main/generated/torchaudio.functional.fftconvolve.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.fftconvolve &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.fftconvolve &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.fftconvolve<a class="headerlink" href="#torchaudio-functional-fftconvolve" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.fftconvolve">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">fftconvolve</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'full'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#fftconvolve"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.fftconvolve" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">fftconvolve</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'full'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#fftconvolve"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.fftconvolve" title="Permalink to this definition">¶</a></dt>
 <dd><p>Convolves inputs along their last dimension using FFT. For inputs with large last dimensions, this function
 is generally much faster than <a class="reference internal" href="torchaudio.functional.convolve.html#torchaudio.functional.convolve" title="torchaudio.functional.convolve"><code class="xref py py-meth docutils literal notranslate"><span class="pre">convolve()</span></code></a>.
 Note that, in contrast to <code class="xref py py-meth docutils literal notranslate"><span class="pre">torch.nn.functional.conv1d()</span></code>, which actually applies the valid cross-correlation
@@ -451,8 +451,8 @@ <h1>torchaudio.functional.fftconvolve<a class="headerlink" href="#torchaudio-fun
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – First convolution operand, with shape <cite>(…, N)</cite>.</p></li>
-<li><p><strong>y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Second convolution operand, with shape <cite>(…, M)</cite>
+<li><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – First convolution operand, with shape <cite>(…, N)</cite>.</p></li>
+<li><p><strong>y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Second convolution operand, with shape <cite>(…, M)</cite>
 (leading dimensions must be broadcast-able with those of <code class="docutils literal notranslate"><span class="pre">x</span></code>).</p></li>
 <li><p><strong>mode</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>optional</em>) – <p>Must be one of (“full”, “valid”, “same”).</p>
 <ul>
@@ -469,7 +469,7 @@ <h1>torchaudio.functional.fftconvolve<a class="headerlink" href="#torchaudio-fun
 the leading dimensions match those of <code class="docutils literal notranslate"><span class="pre">x</span></code> and <cite>L</cite> is dictated by <code class="docutils literal notranslate"><span class="pre">mode</span></code>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 <dl>
diff --git a/main/generated/torchaudio.functional.filtfilt.html b/main/generated/torchaudio.functional.filtfilt.html
index 1587fd49cea..0b8807d278c 100644
--- a/main/generated/torchaudio.functional.filtfilt.html
+++ b/main/generated/torchaudio.functional.filtfilt.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.filtfilt &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.filtfilt &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.filtfilt<a class="headerlink" href="#torchaudio-functional-filtfilt" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.filtfilt">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">filtfilt</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">a_coeffs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">b_coeffs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">clamp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#filtfilt"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.filtfilt" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">filtfilt</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">a_coeffs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">b_coeffs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">clamp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#filtfilt"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.filtfilt" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply an IIR filter forward and backward to a waveform.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.flanger.html b/main/generated/torchaudio.functional.flanger.html
index 72484186edf..1a70b4d9555 100644
--- a/main/generated/torchaudio.functional.flanger.html
+++ b/main/generated/torchaudio.functional.flanger.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.flanger &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.flanger &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.flanger<a class="headerlink" href="#torchaudio-functional-flanger" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.flanger">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">flanger</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">delay</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">depth</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regen</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">71.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">speed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">phase</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">25.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">modulation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sinusoidal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'linear'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#flanger"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.flanger" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">flanger</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">delay</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">depth</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regen</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">71.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">speed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">phase</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">25.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">modulation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sinusoidal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'linear'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#flanger"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.flanger" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply a flanger effect to the audio. Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.forced_align.html b/main/generated/torchaudio.functional.forced_align.html
index 2b3fac39774..72ebd0bb46f 100644
--- a/main/generated/torchaudio.functional.forced_align.html
+++ b/main/generated/torchaudio.functional.forced_align.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.forced_align &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.forced_align &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.forced_align<a class="headerlink" href="#torchaudio-functional-forced-align" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.forced_align">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">forced_align</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">log_probs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">blank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/functional/_alignment.html#forced_align"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.forced_align" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">forced_align</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">log_probs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">blank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/functional/_alignment.html#forced_align"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.forced_align" title="Permalink to this definition">¶</a></dt>
 <dd><p>Align a CTC label sequence to an emission.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.frechet_distance.html b/main/generated/torchaudio.functional.frechet_distance.html
index b1c6ae85b3d..eb675d033df 100644
--- a/main/generated/torchaudio.functional.frechet_distance.html
+++ b/main/generated/torchaudio.functional.frechet_distance.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.frechet_distance &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.frechet_distance &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -452,17 +452,17 @@ <h1>torchaudio.functional.frechet_distance<a class="headerlink" href="#torchaudi
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>mu_x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – mean <span class="math">\(\mu_X\)</span> of multivariate Gaussian <span class="math">\(X\)</span>, with shape <cite>(N,)</cite>.</p></li>
-<li><p><strong>sigma_x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – covariance matrix <span class="math">\(\Sigma_X\)</span> of <span class="math">\(X\)</span>, with shape <cite>(N, N)</cite>.</p></li>
-<li><p><strong>mu_y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – mean <span class="math">\(\mu_Y\)</span> of multivariate Gaussian <span class="math">\(Y\)</span>, with shape <cite>(N,)</cite>.</p></li>
-<li><p><strong>sigma_y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – covariance matrix <span class="math">\(\Sigma_Y\)</span> of <span class="math">\(Y\)</span>, with shape <cite>(N, N)</cite>.</p></li>
+<li><p><strong>mu_x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – mean <span class="math">\(\mu_X\)</span> of multivariate Gaussian <span class="math">\(X\)</span>, with shape <cite>(N,)</cite>.</p></li>
+<li><p><strong>sigma_x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – covariance matrix <span class="math">\(\Sigma_X\)</span> of <span class="math">\(X\)</span>, with shape <cite>(N, N)</cite>.</p></li>
+<li><p><strong>mu_y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – mean <span class="math">\(\mu_Y\)</span> of multivariate Gaussian <span class="math">\(Y\)</span>, with shape <cite>(N,)</cite>.</p></li>
+<li><p><strong>sigma_y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – covariance matrix <span class="math">\(\Sigma_Y\)</span> of <span class="math">\(Y\)</span>, with shape <cite>(N, N)</cite>.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>the Fréchet distance between <span class="math">\(X\)</span> and <span class="math">\(Y\)</span>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.functional.gain.html b/main/generated/torchaudio.functional.gain.html
index dd6acd3d8ff..8f079594975 100644
--- a/main/generated/torchaudio.functional.gain.html
+++ b/main/generated/torchaudio.functional.gain.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.gain &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.gain &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.gain<a class="headerlink" href="#torchaudio-functional-gain" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.gain">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">gain</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#gain"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.gain" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">gain</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#gain"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.gain" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply amplification or attenuation to the whole waveform.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.griffinlim.html b/main/generated/torchaudio.functional.griffinlim.html
index db2ec6857a4..7de285e5935 100644
--- a/main/generated/torchaudio.functional.griffinlim.html
+++ b/main/generated/torchaudio.functional.griffinlim.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.griffinlim &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.griffinlim &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.griffinlim<a class="headerlink" href="#torchaudio-functional-griffinlim" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.griffinlim">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">griffinlim</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_fft</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">hop_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">power</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_iter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">momentum</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rand_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#griffinlim"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.griffinlim" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">griffinlim</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_fft</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">hop_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">power</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_iter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">momentum</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rand_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#griffinlim"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.griffinlim" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute waveform from a linear scale magnitude spectrogram using the Griffin-Lim transformation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.highpass_biquad.html b/main/generated/torchaudio.functional.highpass_biquad.html
index 6f50bf50ce6..bf00a0daed6 100644
--- a/main/generated/torchaudio.functional.highpass_biquad.html
+++ b/main/generated/torchaudio.functional.highpass_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.highpass_biquad &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.highpass_biquad &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.highpass_biquad<a class="headerlink" href="#torchaudio-functional-highpass-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.highpass_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">highpass_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#highpass_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.highpass_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">highpass_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#highpass_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.highpass_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Design biquad highpass filter and perform filtering.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -449,8 +449,8 @@ <h1>torchaudio.functional.highpass_biquad<a class="headerlink" href="#torchaudio
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>waveform</strong> (<em>Tensor</em>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – sampling rate of the waveform, e.g. 44100 (Hz)</p></li>
-<li><p><strong>cutoff_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – filter cutoff frequency</p></li>
-<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
+<li><p><strong>cutoff_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – filter cutoff frequency</p></li>
+<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.functional.inverse_spectrogram.html b/main/generated/torchaudio.functional.inverse_spectrogram.html
index cbb19e61b7c..167417e98fc 100644
--- a/main/generated/torchaudio.functional.inverse_spectrogram.html
+++ b/main/generated/torchaudio.functional.inverse_spectrogram.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.inverse_spectrogram &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.inverse_spectrogram &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.inverse_spectrogram<a class="headerlink" href="#torchaudio-functional-inverse-spectrogram" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.inverse_spectrogram">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">inverse_spectrogram</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spectrogram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_fft</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">hop_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalized</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">onesided</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#inverse_spectrogram"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.inverse_spectrogram" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">inverse_spectrogram</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spectrogram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_fft</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">hop_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalized</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">onesided</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#inverse_spectrogram"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.inverse_spectrogram" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create an inverse spectrogram or a batch of inverse spectrograms from the provided
 complex-valued spectrogram.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
diff --git a/main/generated/torchaudio.functional.lfilter.html b/main/generated/torchaudio.functional.lfilter.html
index d01557b0ee8..93be2256c3e 100644
--- a/main/generated/torchaudio.functional.lfilter.html
+++ b/main/generated/torchaudio.functional.lfilter.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.lfilter &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.lfilter &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.lfilter<a class="headerlink" href="#torchaudio-functional-lfilter" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.lfilter">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">lfilter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">a_coeffs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">b_coeffs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">clamp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batching</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#lfilter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.lfilter" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">lfilter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">a_coeffs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">b_coeffs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">clamp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batching</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#lfilter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.lfilter" title="Permalink to this definition">¶</a></dt>
 <dd><p>Perform an IIR filter by evaluating difference equation, using differentiable implementation
 developed independently by <em>Yu et al.</em> <span id="id1">[<a class="reference internal" href="../references.html#id73" title="Chin-Yun Yu and György Fazekas. Singing voice synthesis using differentiable LPC and glottal-flow-inspired wavetables. In Augusto Sarti, Fabio Antonacci, Mark Sandler, Paolo Bestagini, Simon Dixon, Beici Liang, Gaël Richard, and Johan Pauwels, editors, Proceedings of the 24th International Society for Music Information Retrieval Conference, ISMIR 2023, Milan, Italy, November 5-9, 2023, 667–675. 2023. URL: https://doi.org/10.5281/zenodo.10265377, doi:10.5281/ZENODO.10265377.">Yu and Fazekas, 2023</a>]</span> and <em>Forgione et al.</em> <span id="id2">[<a class="reference internal" href="../references.html#id74" title="Marco Forgione and Dario Piga. Dynonet: a neural network architecture for learning dynamical systems. International Journal of Adaptive Control and Signal Processing, 35(4):612–626, 2021.">Forgione and Piga, 2021</a>]</span>.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
diff --git a/main/generated/torchaudio.functional.linear_fbanks.html b/main/generated/torchaudio.functional.linear_fbanks.html
index 65e262e3325..f356e2b6995 100644
--- a/main/generated/torchaudio.functional.linear_fbanks.html
+++ b/main/generated/torchaudio.functional.linear_fbanks.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.linear_fbanks &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.linear_fbanks &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.linear_fbanks<a class="headerlink" href="#torchaudio-functional-linear-fbanks" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.linear_fbanks">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">linear_fbanks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_freqs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_min</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_max</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_filter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#linear_fbanks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.linear_fbanks" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">linear_fbanks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_freqs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_min</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_max</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_filter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#linear_fbanks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.linear_fbanks" title="Permalink to this definition">¶</a></dt>
 <dd><p>Creates a linear triangular filterbank.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU" class="shield-badge" src="../_images/e293eae5f4516a625dc07ed0eed1ff8b2f18eef5a9da1f8561cc97c78ab0600c.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.loudness.html b/main/generated/torchaudio.functional.loudness.html
index ed2a916ae33..a28d750ecea 100644
--- a/main/generated/torchaudio.functional.loudness.html
+++ b/main/generated/torchaudio.functional.loudness.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.loudness &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.loudness &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,14 +440,14 @@
 <h1>torchaudio.functional.loudness<a class="headerlink" href="#torchaudio-functional-loudness" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.loudness">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">loudness</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#loudness"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.loudness" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">loudness</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#loudness"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.loudness" title="Permalink to this definition">¶</a></dt>
 <dd><p>Measure audio loudness according to the ITU-R BS.1770-4 recommendation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – audio waveform of dimension <cite>(…, channels, time)</cite></p></li>
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – audio waveform of dimension <cite>(…, channels, time)</cite></p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – sampling rate of the waveform</p></li>
 </ul>
 </dd>
diff --git a/main/generated/torchaudio.functional.lowpass_biquad.html b/main/generated/torchaudio.functional.lowpass_biquad.html
index 07dea942dc2..923bdd8e4ee 100644
--- a/main/generated/torchaudio.functional.lowpass_biquad.html
+++ b/main/generated/torchaudio.functional.lowpass_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.lowpass_biquad &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.lowpass_biquad &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,17 +440,17 @@
 <h1>torchaudio.functional.lowpass_biquad<a class="headerlink" href="#torchaudio-functional-lowpass-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.lowpass_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">lowpass_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#lowpass_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.lowpass_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">lowpass_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#lowpass_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.lowpass_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Design biquad lowpass filter and perform filtering.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – sampling rate of the waveform, e.g. 44100 (Hz)</p></li>
-<li><p><strong>cutoff_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – filter cutoff frequency</p></li>
-<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
+<li><p><strong>cutoff_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – filter cutoff frequency</p></li>
+<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.functional.mask_along_axis.html b/main/generated/torchaudio.functional.mask_along_axis.html
index ed057237134..f39901270cd 100644
--- a/main/generated/torchaudio.functional.mask_along_axis.html
+++ b/main/generated/torchaudio.functional.mask_along_axis.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.mask_along_axis &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.mask_along_axis &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.mask_along_axis<a class="headerlink" href="#torchaudio-functional-mask-along-axis" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.mask_along_axis">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mask_along_axis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_param</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mask_along_axis"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mask_along_axis" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mask_along_axis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_param</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mask_along_axis"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mask_along_axis" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply a mask along <code class="docutils literal notranslate"><span class="pre">axis</span></code>.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.mask_along_axis_iid.html b/main/generated/torchaudio.functional.mask_along_axis_iid.html
index b20c3e1039d..85debfa1672 100644
--- a/main/generated/torchaudio.functional.mask_along_axis_iid.html
+++ b/main/generated/torchaudio.functional.mask_along_axis_iid.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.mask_along_axis_iid &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.mask_along_axis_iid &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.mask_along_axis_iid<a class="headerlink" href="#torchaudio-functional-mask-along-axis-iid" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.mask_along_axis_iid">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mask_along_axis_iid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgrams</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_param</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mask_along_axis_iid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mask_along_axis_iid" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mask_along_axis_iid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgrams</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_param</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mask_along_axis_iid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mask_along_axis_iid" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply a mask along <code class="docutils literal notranslate"><span class="pre">axis</span></code>.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.melscale_fbanks.html b/main/generated/torchaudio.functional.melscale_fbanks.html
index f690506e71e..bada0b85c97 100644
--- a/main/generated/torchaudio.functional.melscale_fbanks.html
+++ b/main/generated/torchaudio.functional.melscale_fbanks.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.melscale_fbanks &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.melscale_fbanks &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.melscale_fbanks<a class="headerlink" href="#torchaudio-functional-melscale-fbanks" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.melscale_fbanks">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">melscale_fbanks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_freqs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_min</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_max</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_mels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mel_scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'htk'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#melscale_fbanks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.melscale_fbanks" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">melscale_fbanks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_freqs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_min</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_max</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_mels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mel_scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'htk'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#melscale_fbanks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.melscale_fbanks" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create a frequency bin conversion matrix.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU" class="shield-badge" src="../_images/e293eae5f4516a625dc07ed0eed1ff8b2f18eef5a9da1f8561cc97c78ab0600c.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.merge_tokens.html b/main/generated/torchaudio.functional.merge_tokens.html
index f46fb3f7e10..4b08c14d78d 100644
--- a/main/generated/torchaudio.functional.merge_tokens.html
+++ b/main/generated/torchaudio.functional.merge_tokens.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.merge_tokens &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.merge_tokens &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.merge_tokens<a class="headerlink" href="#torchaudio-functional-merge-tokens" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.merge_tokens">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">merge_tokens</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">scores</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="torchaudio.functional.TokenSpan.html#torchaudio.functional.TokenSpan" title="torchaudio.functional._alignment.TokenSpan"><span class="pre">TokenSpan</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/functional/_alignment.html#merge_tokens"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.merge_tokens" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">merge_tokens</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">scores</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="torchaudio.functional.TokenSpan.html#torchaudio.functional.TokenSpan" title="torchaudio.functional._alignment.TokenSpan"><span class="pre">TokenSpan</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/functional/_alignment.html#merge_tokens"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.merge_tokens" title="Permalink to this definition">¶</a></dt>
 <dd><p>Removes repeated tokens and blank tokens from the given CTC token sequence.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.functional.mu_law_decoding.html b/main/generated/torchaudio.functional.mu_law_decoding.html
index 19e16159700..2d396539d88 100644
--- a/main/generated/torchaudio.functional.mu_law_decoding.html
+++ b/main/generated/torchaudio.functional.mu_law_decoding.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.mu_law_decoding &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.mu_law_decoding &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.mu_law_decoding<a class="headerlink" href="#torchaudio-functional-mu-law-decoding" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.mu_law_decoding">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mu_law_decoding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_mu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">quantization_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mu_law_decoding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mu_law_decoding" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mu_law_decoding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_mu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">quantization_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mu_law_decoding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mu_law_decoding" title="Permalink to this definition">¶</a></dt>
 <dd><p>Decode mu-law encoded signal.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.mu_law_encoding.html b/main/generated/torchaudio.functional.mu_law_encoding.html
index bbddb3cbbd3..4d9cd52c1c8 100644
--- a/main/generated/torchaudio.functional.mu_law_encoding.html
+++ b/main/generated/torchaudio.functional.mu_law_encoding.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.mu_law_encoding &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.mu_law_encoding &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.mu_law_encoding<a class="headerlink" href="#torchaudio-functional-mu-law-encoding" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.mu_law_encoding">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mu_law_encoding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">quantization_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mu_law_encoding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mu_law_encoding" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mu_law_encoding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">quantization_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mu_law_encoding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mu_law_encoding" title="Permalink to this definition">¶</a></dt>
 <dd><p>Encode signal based on mu-law companding.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.mvdr_weights_rtf.html b/main/generated/torchaudio.functional.mvdr_weights_rtf.html
index 0ae4c74b02f..ed5340b138a 100644
--- a/main/generated/torchaudio.functional.mvdr_weights_rtf.html
+++ b/main/generated/torchaudio.functional.mvdr_weights_rtf.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.mvdr_weights_rtf &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.mvdr_weights_rtf &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.mvdr_weights_rtf<a class="headerlink" href="#torchaudio-functional-mvdr-weights-rtf" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.mvdr_weights_rtf">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mvdr_weights_rtf</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rtf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference_channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagonal_loading</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diag_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mvdr_weights_rtf"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mvdr_weights_rtf" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mvdr_weights_rtf</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rtf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference_channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagonal_loading</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diag_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mvdr_weights_rtf"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mvdr_weights_rtf" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute the Minimum Variance Distortionless Response (<em>MVDR</em> <span id="id1">[<a class="reference internal" href="../references.html#id34" title="Jack Capon. High-resolution frequency-wavenumber spectrum analysis. Proceedings of the IEEE, 57(8):1408–1418, 1969.">Capon, 1969</a>]</span>) beamforming weights
 based on the relative transfer function (RTF) and power spectral density (PSD) matrix of noise.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
@@ -459,11 +459,11 @@ <h1>torchaudio.functional.mvdr_weights_rtf<a class="headerlink" href="#torchaudi
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>rtf</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – The complex-valued RTF vector of target speech.
+<li><p><strong>rtf</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – The complex-valued RTF vector of target speech.
 Tensor with dimensions <cite>(…, freq, channel)</cite>.</p></li>
-<li><p><strong>psd_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of noise.
+<li><p><strong>psd_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of noise.
 Tensor with dimensions <cite>(…, freq, channel, channel)</cite>.</p></li>
-<li><p><strong>reference_channel</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Specifies the reference channel.
+<li><p><strong>reference_channel</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Specifies the reference channel.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">int</span></code>, it represents the reference channel index.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">torch.Tensor</span></code>, its shape is <cite>(…, channel)</cite>, where the <code class="docutils literal notranslate"><span class="pre">channel</span></code> dimension
 is one-hot.</p></li>
@@ -479,7 +479,7 @@ <h1>torchaudio.functional.mvdr_weights_rtf<a class="headerlink" href="#torchaudi
 <dd class="field-even"><p>The complex-valued MVDR beamforming weight matrix with dimensions <cite>(…, freq, channel)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.functional.mvdr_weights_souden.html b/main/generated/torchaudio.functional.mvdr_weights_souden.html
index f6f862083a1..0b51ecc25c2 100644
--- a/main/generated/torchaudio.functional.mvdr_weights_souden.html
+++ b/main/generated/torchaudio.functional.mvdr_weights_souden.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.mvdr_weights_souden &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.mvdr_weights_souden &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.mvdr_weights_souden<a class="headerlink" href="#torchaudio-functional-mvdr-weights-souden" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.mvdr_weights_souden">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mvdr_weights_souden</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">psd_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference_channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagonal_loading</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diag_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mvdr_weights_souden"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mvdr_weights_souden" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mvdr_weights_souden</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">psd_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference_channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagonal_loading</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diag_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mvdr_weights_souden"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mvdr_weights_souden" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute the Minimum Variance Distortionless Response (<em>MVDR</em> <span id="id1">[<a class="reference internal" href="../references.html#id34" title="Jack Capon. High-resolution frequency-wavenumber spectrum analysis. Proceedings of the IEEE, 57(8):1408–1418, 1969.">Capon, 1969</a>]</span>) beamforming weights
 by the method proposed by <em>Souden et, al.</em> <span id="id2">[<a class="reference internal" href="../references.html#id28" title="Mehrez Souden, Jacob Benesty, and Sofiene Affes. On optimal frequency-domain multichannel linear filtering for noise reduction. In IEEE Transactions on audio, speech, and language processing, volume 18, 260–276. IEEE, 2009.">Souden <em>et al.</em>, 2009</a>]</span>.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
@@ -458,11 +458,11 @@ <h1>torchaudio.functional.mvdr_weights_souden<a class="headerlink" href="#torcha
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>psd_s</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of target speech.
+<li><p><strong>psd_s</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of target speech.
 Tensor with dimensions <cite>(…, freq, channel, channel)</cite>.</p></li>
-<li><p><strong>psd_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of noise.
+<li><p><strong>psd_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of noise.
 Tensor with dimensions <cite>(…, freq, channel, channel)</cite>.</p></li>
-<li><p><strong>reference_channel</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Specifies the reference channel.
+<li><p><strong>reference_channel</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Specifies the reference channel.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">int</span></code>, it represents the reference channel index.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">torch.Tensor</span></code>, its shape is <cite>(…, channel)</cite>, where the <code class="docutils literal notranslate"><span class="pre">channel</span></code> dimension
 is one-hot.</p></li>
@@ -478,7 +478,7 @@ <h1>torchaudio.functional.mvdr_weights_souden<a class="headerlink" href="#torcha
 <dd class="field-even"><p>The complex-valued MVDR beamforming weight matrix with dimensions <cite>(…, freq, channel)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.functional.overdrive.html b/main/generated/torchaudio.functional.overdrive.html
index 1642216148a..879b9c11097 100644
--- a/main/generated/torchaudio.functional.overdrive.html
+++ b/main/generated/torchaudio.functional.overdrive.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.overdrive &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.overdrive &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.overdrive<a class="headerlink" href="#torchaudio-functional-overdrive" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.overdrive">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">overdrive</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">colour</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#overdrive"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.overdrive" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">overdrive</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">colour</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#overdrive"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.overdrive" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply a overdrive effect to the audio. Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.phase_vocoder.html b/main/generated/torchaudio.functional.phase_vocoder.html
index 03d64598e44..17337ddd967 100644
--- a/main/generated/torchaudio.functional.phase_vocoder.html
+++ b/main/generated/torchaudio.functional.phase_vocoder.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.phase_vocoder &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.phase_vocoder &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.phase_vocoder<a class="headerlink" href="#torchaudio-functional-phase-vocoder" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.phase_vocoder">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">phase_vocoder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">complex_specgrams</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">phase_advance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#phase_vocoder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.phase_vocoder" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">phase_vocoder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">complex_specgrams</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">phase_advance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#phase_vocoder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.phase_vocoder" title="Permalink to this definition">¶</a></dt>
 <dd><p>Given a STFT tensor, speed up in time without modifying pitch by a factor of <code class="docutils literal notranslate"><span class="pre">rate</span></code>.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.phaser.html b/main/generated/torchaudio.functional.phaser.html
index 26d90199b34..04cd15dcc46 100644
--- a/main/generated/torchaudio.functional.phaser.html
+++ b/main/generated/torchaudio.functional.phaser.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.phaser &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.phaser &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.phaser<a class="headerlink" href="#torchaudio-functional-phaser" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.phaser">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">phaser</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.74</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delay_ms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decay</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mod_speed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sinusoidal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#phaser"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.phaser" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">phaser</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.74</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delay_ms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decay</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mod_speed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sinusoidal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#phaser"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.phaser" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply a phasing effect to the audio. Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.pitch_shift.html b/main/generated/torchaudio.functional.pitch_shift.html
index b32a56eed7a..934730d8652 100644
--- a/main/generated/torchaudio.functional.pitch_shift.html
+++ b/main/generated/torchaudio.functional.pitch_shift.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.pitch_shift &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.pitch_shift &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.pitch_shift<a class="headerlink" href="#torchaudio-functional-pitch-shift" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.pitch_shift">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">pitch_shift</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_steps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">bins_per_octave</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">12</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_fft</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">512</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hop_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#pitch_shift"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.pitch_shift" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">pitch_shift</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_steps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">bins_per_octave</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">12</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_fft</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">512</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hop_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#pitch_shift"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.pitch_shift" title="Permalink to this definition">¶</a></dt>
 <dd><p>Shift the pitch of a waveform by <code class="docutils literal notranslate"><span class="pre">n_steps</span></code> steps.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.preemphasis.html b/main/generated/torchaudio.functional.preemphasis.html
index 9985a19d56a..b9d9b139808 100644
--- a/main/generated/torchaudio.functional.preemphasis.html
+++ b/main/generated/torchaudio.functional.preemphasis.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.preemphasis &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.preemphasis &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.preemphasis<a class="headerlink" href="#torchaudio-functional-preemphasis" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.preemphasis">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">preemphasis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coeff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.97</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#preemphasis"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.preemphasis" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">preemphasis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coeff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.97</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#preemphasis"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.preemphasis" title="Permalink to this definition">¶</a></dt>
 <dd><p>Pre-emphasizes a waveform along its last dimension, i.e.
 for each signal <span class="math">\(x\)</span> in <code class="docutils literal notranslate"><span class="pre">waveform</span></code>, computes
 output <span class="math">\(y\)</span> as</p>
@@ -453,7 +453,7 @@ <h1>torchaudio.functional.preemphasis<a class="headerlink" href="#torchaudio-fun
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Waveform, with shape <cite>(…, N)</cite>.</p></li>
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Waveform, with shape <cite>(…, N)</cite>.</p></li>
 <li><p><strong>coeff</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>optional</em>) – Pre-emphasis coefficient. Typically between 0.0 and 1.0.
 (Default: 0.97)</p></li>
 </ul>
@@ -462,7 +462,7 @@ <h1>torchaudio.functional.preemphasis<a class="headerlink" href="#torchaudio-fun
 <dd class="field-even"><p>Pre-emphasized waveform, with shape <cite>(…, N)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.functional.psd.html b/main/generated/torchaudio.functional.psd.html
index 3a9be100086..11649d1e59a 100644
--- a/main/generated/torchaudio.functional.psd.html
+++ b/main/generated/torchaudio.functional.psd.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.psd &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.psd &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,16 +440,16 @@
 <h1>torchaudio.functional.psd<a class="headerlink" href="#torchaudio-functional-psd" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.psd">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">psd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-10</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#psd"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.psd" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">psd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-10</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#psd"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.psd" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute cross-channel power spectral density (PSD) matrix.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Multi-channel complex-valued spectrum.
+<li><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Multi-channel complex-valued spectrum.
 Tensor with dimensions <cite>(…, channel, freq, time)</cite>.</p></li>
-<li><p><strong>mask</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Time-Frequency mask for normalization.
+<li><p><strong>mask</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Time-Frequency mask for normalization.
 Tensor with dimensions <cite>(…, freq, time)</cite>. (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 <li><p><strong>normalize</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>optional</em>) – If <code class="docutils literal notranslate"><span class="pre">True</span></code>, normalize the mask along the time dimension. (Default: <code class="docutils literal notranslate"><span class="pre">True</span></code>)</p></li>
 <li><p><strong>eps</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>optional</em>) – Value to add to the denominator in mask normalization. (Default: <code class="docutils literal notranslate"><span class="pre">1e-15</span></code>)</p></li>
@@ -460,7 +460,7 @@ <h1>torchaudio.functional.psd<a class="headerlink" href="#torchaudio-functional-
 Tensor with dimensions <cite>(…, freq, channel, channel)</cite></p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.functional.resample.html b/main/generated/torchaudio.functional.resample.html
index ab4da53baa0..cbcb146122f 100644
--- a/main/generated/torchaudio.functional.resample.html
+++ b/main/generated/torchaudio.functional.resample.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.resample &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.resample &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.resample<a class="headerlink" href="#torchaudio-functional-resample" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.resample">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">resample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">orig_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lowpass_filter_width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rolloff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.99</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resampling_method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sinc_interp_hann'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#resample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.resample" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">resample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">orig_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lowpass_filter_width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rolloff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.99</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resampling_method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sinc_interp_hann'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#resample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.resample" title="Permalink to this definition">¶</a></dt>
 <dd><p>Resamples the waveform at the new frequency using bandlimited interpolation. <span id="id1">[<a class="reference internal" href="../references.html#id4" title="Julius O. Smith. Digital audio resampling home page &quot;theory of ideal bandlimited interpolation&quot; section. September 2020. URL: https://ccrma.stanford.edu/~jos/resample/Theory_Ideal_Bandlimited_Interpolation.html.">Smith, 2020</a>]</span>.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.riaa_biquad.html b/main/generated/torchaudio.functional.riaa_biquad.html
index 500add7a498..5becf74912a 100644
--- a/main/generated/torchaudio.functional.riaa_biquad.html
+++ b/main/generated/torchaudio.functional.riaa_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.riaa_biquad &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.riaa_biquad &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.riaa_biquad<a class="headerlink" href="#torchaudio-functional-riaa-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.riaa_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">riaa_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#riaa_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.riaa_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">riaa_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#riaa_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.riaa_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply RIAA vinyl playback equalization.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.rnnt_loss.html b/main/generated/torchaudio.functional.rnnt_loss.html
index ad97a29032d..0815410a823 100644
--- a/main/generated/torchaudio.functional.rnnt_loss.html
+++ b/main/generated/torchaudio.functional.rnnt_loss.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.rnnt_loss &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.rnnt_loss &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.rnnt_loss<a class="headerlink" href="#torchaudio-functional-rnnt-loss" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.rnnt_loss">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">rnnt_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logits</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">logit_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">clamp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'mean'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fused_log_softmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#rnnt_loss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.rnnt_loss" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">rnnt_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logits</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">logit_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">clamp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'mean'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fused_log_softmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#rnnt_loss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.rnnt_loss" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute the RNN Transducer loss from <em>Sequence Transduction with Recurrent Neural Networks</em>
 <span id="id1">[<a class="reference internal" href="../references.html#id18" title="Alex Graves. Sequence transduction with recurrent neural networks. 2012. arXiv:1211.3711.">Graves, 2012</a>]</span>.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
diff --git a/main/generated/torchaudio.functional.rtf_evd.html b/main/generated/torchaudio.functional.rtf_evd.html
index 4446465711a..e046b227a04 100644
--- a/main/generated/torchaudio.functional.rtf_evd.html
+++ b/main/generated/torchaudio.functional.rtf_evd.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.rtf_evd &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.rtf_evd &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.rtf_evd<a class="headerlink" href="#torchaudio-functional-rtf-evd" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.rtf_evd">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">rtf_evd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">psd_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#rtf_evd"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.rtf_evd" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">rtf_evd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">psd_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#rtf_evd"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.rtf_evd" title="Permalink to this definition">¶</a></dt>
 <dd><p>Estimate the relative transfer function (RTF) or the steering vector by eigenvalue decomposition.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.rtf_power.html b/main/generated/torchaudio.functional.rtf_power.html
index ccfb59ce078..343806e023f 100644
--- a/main/generated/torchaudio.functional.rtf_power.html
+++ b/main/generated/torchaudio.functional.rtf_power.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.rtf_power &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.rtf_power &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,18 +440,18 @@
 <h1>torchaudio.functional.rtf_power<a class="headerlink" href="#torchaudio-functional-rtf-power" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.rtf_power">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">rtf_power</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">psd_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference_channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_iter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagonal_loading</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diag_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#rtf_power"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.rtf_power" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">rtf_power</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">psd_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference_channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_iter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagonal_loading</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diag_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#rtf_power"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.rtf_power" title="Permalink to this definition">¶</a></dt>
 <dd><p>Estimate the relative transfer function (RTF) or the steering vector by the power method.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>psd_s</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of target speech.
+<li><p><strong>psd_s</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of target speech.
 Tensor with dimensions <cite>(…, freq, channel, channel)</cite>.</p></li>
-<li><p><strong>psd_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of noise.
+<li><p><strong>psd_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of noise.
 Tensor with dimensions <cite>(…, freq, channel, channel)</cite>.</p></li>
-<li><p><strong>reference_channel</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Specifies the reference channel.
+<li><p><strong>reference_channel</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Specifies the reference channel.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">int</span></code>, it represents the reference channel index.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">torch.Tensor</span></code>, its shape is <cite>(…, channel)</cite>, where the <code class="docutils literal notranslate"><span class="pre">channel</span></code> dimension
 is one-hot.</p></li>
@@ -466,7 +466,7 @@ <h1>torchaudio.functional.rtf_power<a class="headerlink" href="#torchaudio-funct
 Tensor of dimension <cite>(…, freq, channel)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 <dl>
diff --git a/main/generated/torchaudio.functional.sliding_window_cmn.html b/main/generated/torchaudio.functional.sliding_window_cmn.html
index ae55773f971..588408dd601 100644
--- a/main/generated/torchaudio.functional.sliding_window_cmn.html
+++ b/main/generated/torchaudio.functional.sliding_window_cmn.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.sliding_window_cmn &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.sliding_window_cmn &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.sliding_window_cmn<a class="headerlink" href="#torchaudio-functional-sliding-window-cmn" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.sliding_window_cmn">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">sliding_window_cmn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">cmn_window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">600</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_cmn_window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_vars</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#sliding_window_cmn"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.sliding_window_cmn" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">sliding_window_cmn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">cmn_window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">600</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_cmn_window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_vars</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#sliding_window_cmn"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.sliding_window_cmn" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply sliding-window cepstral mean (and optionally variance) normalization per utterance.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.spectral_centroid.html b/main/generated/torchaudio.functional.spectral_centroid.html
index 75ecfd1b323..52e6951c5d2 100644
--- a/main/generated/torchaudio.functional.spectral_centroid.html
+++ b/main/generated/torchaudio.functional.spectral_centroid.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.spectral_centroid &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.spectral_centroid &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.spectral_centroid<a class="headerlink" href="#torchaudio-functional-spectral-centroid" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.spectral_centroid">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">spectral_centroid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_fft</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">hop_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#spectral_centroid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.spectral_centroid" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">spectral_centroid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_fft</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">hop_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#spectral_centroid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.spectral_centroid" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute the spectral centroid for each channel along the time axis.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.spectrogram.html b/main/generated/torchaudio.functional.spectrogram.html
index 4a79d78d984..56368957152 100644
--- a/main/generated/torchaudio.functional.spectrogram.html
+++ b/main/generated/torchaudio.functional.spectrogram.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.spectrogram &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.spectrogram &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.spectrogram<a class="headerlink" href="#torchaudio-functional-spectrogram" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.spectrogram">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">spectrogram</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_fft</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">hop_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">power</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalized</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">onesided</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_complex</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#spectrogram"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.spectrogram" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">spectrogram</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_fft</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">hop_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">power</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalized</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">onesided</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_complex</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#spectrogram"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.spectrogram" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create a spectrogram or a batch of spectrograms from a raw audio signal.
 The spectrogram can be either magnitude-only or complex.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
diff --git a/main/generated/torchaudio.functional.speed.html b/main/generated/torchaudio.functional.speed.html
index a4eb005cf4a..f4c29eba718 100644
--- a/main/generated/torchaudio.functional.speed.html
+++ b/main/generated/torchaudio.functional.speed.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.speed &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.speed &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,18 +440,18 @@
 <h1>torchaudio.functional.speed<a class="headerlink" href="#torchaudio-functional-speed" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.speed">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">speed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">orig_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">factor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#speed"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.speed" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">speed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">orig_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">factor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#speed"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.speed" title="Permalink to this definition">¶</a></dt>
 <dd><p>Adjusts waveform speed.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Input signals, with shape <cite>(…, time)</cite>.</p></li>
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Input signals, with shape <cite>(…, time)</cite>.</p></li>
 <li><p><strong>orig_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – Original frequency of the signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code>.</p></li>
 <li><p><strong>factor</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – Factor by which to adjust speed of input. Values greater than 1.0
 compress <code class="docutils literal notranslate"><span class="pre">waveform</span></code> in time, whereas values less than 1.0 stretch <code class="docutils literal notranslate"><span class="pre">waveform</span></code> in time.</p></li>
-<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Valid lengths of signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code>, with shape <cite>(…)</cite>.
+<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Valid lengths of signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code>, with shape <cite>(…)</cite>.
 If <code class="docutils literal notranslate"><span class="pre">None</span></code>, all elements in <code class="docutils literal notranslate"><span class="pre">waveform</span></code> are treated as valid. (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 </ul>
 </dd>
@@ -466,7 +466,7 @@ <h1>torchaudio.functional.speed<a class="headerlink" href="#torchaudio-functiona
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a> or None)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a> or None)</p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.functional.treble_biquad.html b/main/generated/torchaudio.functional.treble_biquad.html
index 4c6b0283812..e56fccb4a83 100644
--- a/main/generated/torchaudio.functional.treble_biquad.html
+++ b/main/generated/torchaudio.functional.treble_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.treble_biquad &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.treble_biquad &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.treble_biquad<a class="headerlink" href="#torchaudio-functional-treble-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.treble_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">treble_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#treble_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.treble_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">treble_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#treble_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.treble_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Design a treble tone-control effect.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -449,9 +449,9 @@ <h1>torchaudio.functional.treble_biquad<a class="headerlink" href="#torchaudio-f
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>waveform</strong> (<em>Tensor</em>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – sampling rate of the waveform, e.g. 44100 (Hz)</p></li>
-<li><p><strong>gain</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – desired gain at the boost (or attenuation) in dB.</p></li>
-<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – central frequency (in Hz). (Default: <code class="docutils literal notranslate"><span class="pre">3000</span></code>)</p></li>
-<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>).</p></li>
+<li><p><strong>gain</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – desired gain at the boost (or attenuation) in dB.</p></li>
+<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – central frequency (in Hz). (Default: <code class="docutils literal notranslate"><span class="pre">3000</span></code>)</p></li>
+<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>).</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.functional.vad.html b/main/generated/torchaudio.functional.vad.html
index 8e5fd190b72..ef2e665ca84 100644
--- a/main/generated/torchaudio.functional.vad.html
+++ b/main/generated/torchaudio.functional.vad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.vad &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.functional.vad &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.vad<a class="headerlink" href="#torchaudio-functional-vad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.vad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">vad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">trigger_level</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">7.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trigger_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">allowed_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_trigger_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">boot_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.35</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_up_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_down_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.01</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_reduction_amount</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.35</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">measure_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">measure_duration</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">measure_smooth_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hp_filter_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lp_filter_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6000.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hp_lifter_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">150.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lp_lifter_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2000.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#vad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.vad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">vad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">trigger_level</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">7.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trigger_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">allowed_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_trigger_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">boot_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.35</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_up_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_down_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.01</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_reduction_amount</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.35</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">measure_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">measure_duration</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">measure_smooth_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hp_filter_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lp_filter_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6000.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hp_lifter_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">150.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lp_lifter_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2000.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#vad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.vad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Voice Activity Detector. Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.info.html b/main/generated/torchaudio.info.html
index c076f56fb85..9dfb582a361 100644
--- a/main/generated/torchaudio.info.html
+++ b/main/generated/torchaudio.info.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.info &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.info &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.io.AudioEffector.html b/main/generated/torchaudio.io.AudioEffector.html
index e2749ed0fa1..7bcf81e9608 100644
--- a/main/generated/torchaudio.io.AudioEffector.html
+++ b/main/generated/torchaudio.io.AudioEffector.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>AudioEffector &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>AudioEffector &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -568,7 +568,7 @@ <h3>apply<a class="headerlink" href="#apply" title="Permalink to this heading">
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.io.AudioEffector.apply">
-<span class="sig-prename descclassname"><span class="pre">AudioEffector.</span></span><span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/io/_effector.html#AudioEffector.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.io.AudioEffector.apply" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">AudioEffector.</span></span><span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/io/_effector.html#AudioEffector.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.io.AudioEffector.apply" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply the effect and/or codecs to the whole tensor.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -599,7 +599,7 @@ <h3>stream<a class="headerlink" href="#stream" title="Permalink to this heading"
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.io.AudioEffector.stream">
-<span class="sig-prename descclassname"><span class="pre">AudioEffector.</span></span><span class="sig-name descname"><span class="pre">stream</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">frames_per_chunk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterator" title="(in Python v3.12)"><span class="pre">Iterator</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/io/_effector.html#AudioEffector.stream"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.io.AudioEffector.stream" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">AudioEffector.</span></span><span class="sig-name descname"><span class="pre">stream</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">frames_per_chunk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterator" title="(in Python v3.12)"><span class="pre">Iterator</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/io/_effector.html#AudioEffector.stream"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.io.AudioEffector.stream" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply the effect and/or codecs to the given tensor chunk by chunk.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.io.StreamReader.html b/main/generated/torchaudio.io.StreamReader.html
index 071101192c9..4318d6ef841 100644
--- a/main/generated/torchaudio.io.StreamReader.html
+++ b/main/generated/torchaudio.io.StreamReader.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>StreamReader &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>StreamReader &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.io.StreamWriter.html b/main/generated/torchaudio.io.StreamWriter.html
index 01577124eb9..9f4a7231f4e 100644
--- a/main/generated/torchaudio.io.StreamWriter.html
+++ b/main/generated/torchaudio.io.StreamWriter.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>StreamWriter &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>StreamWriter &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.io.play_audio.html b/main/generated/torchaudio.io.play_audio.html
index 6534eb2daba..b095c962c4f 100644
--- a/main/generated/torchaudio.io.play_audio.html
+++ b/main/generated/torchaudio.io.play_audio.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>play_audio &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>play_audio &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>play_audio<a class="headerlink" href="#play-audio" title="Permalink to this heading">¶</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="torchaudio.io.play_audio">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.io.</span></span><span class="sig-name descname"><span class="pre">play_audio</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/io/_playback.html#play_audio"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.io.play_audio" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.io.</span></span><span class="sig-name descname"><span class="pre">play_audio</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/io/_playback.html#play_audio"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.io.play_audio" title="Permalink to this definition">¶</a></dt>
 <dd><p>Plays audio through specified or available output device.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
diff --git a/main/generated/torchaudio.list_audio_backends.html b/main/generated/torchaudio.list_audio_backends.html
index 77587930d7d..0d1f7f629d2 100644
--- a/main/generated/torchaudio.list_audio_backends.html
+++ b/main/generated/torchaudio.list_audio_backends.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.list_audio_backends &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.list_audio_backends &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.load.html b/main/generated/torchaudio.load.html
index 28d9226f4ca..6642c6eefde 100644
--- a/main/generated/torchaudio.load.html
+++ b/main/generated/torchaudio.load.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.load &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.load &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.load<a class="headerlink" href="#torchaudio-load" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.load">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.</span></span><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">uri</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.BinaryIO" title="(in Python v3.12)"><span class="pre">BinaryIO</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/os.html#os.PathLike" title="(in Python v3.12)"><span class="pre">PathLike</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels_first</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">buffer_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4096</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">backend</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.load" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.</span></span><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">uri</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.BinaryIO" title="(in Python v3.12)"><span class="pre">BinaryIO</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/os.html#os.PathLike" title="(in Python v3.12)"><span class="pre">PathLike</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels_first</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">buffer_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4096</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">backend</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.load" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load audio data from source.</p>
 <p>By default (<code class="docutils literal notranslate"><span class="pre">normalize=True</span></code>, <code class="docutils literal notranslate"><span class="pre">channels_first=True</span></code>), this function returns Tensor with
 <code class="docutils literal notranslate"><span class="pre">float32</span></code> dtype, and the shape of <cite>[channel, time]</cite>.</p>
@@ -510,7 +510,7 @@ <h1>torchaudio.load<a class="headerlink" href="#torchaudio-load" title="Permalin
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>, <a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)">int</a>)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>, <a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)">int</a>)</p>
 </dd>
 </dl>
 <dl>
diff --git a/main/generated/torchaudio.models.Conformer.html b/main/generated/torchaudio.models.Conformer.html
index 06fbea40596..7ea96e7d005 100644
--- a/main/generated/torchaudio.models.Conformer.html
+++ b/main/generated/torchaudio.models.Conformer.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Conformer &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Conformer &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -483,12 +483,12 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.Conformer.forward">
-<span class="sig-prename descclassname"><span class="pre">Conformer.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/conformer.html#Conformer.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Conformer.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Conformer.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/conformer.html#Conformer.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Conformer.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – with shape <cite>(B, T, input_dim)</cite>.</p></li>
-<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – with shape <cite>(B, T, input_dim)</cite>.</p></li>
+<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 number of valid frames for i-th batch element in <code class="docutils literal notranslate"><span class="pre">input</span></code>.</p></li>
 </ul>
 </dd>
diff --git a/main/generated/torchaudio.models.ConvTasNet.html b/main/generated/torchaudio.models.ConvTasNet.html
index f8121ce4ad8..3651de91bd3 100644
--- a/main/generated/torchaudio.models.ConvTasNet.html
+++ b/main/generated/torchaudio.models.ConvTasNet.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ConvTasNet &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>ConvTasNet &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -479,11 +479,11 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.ConvTasNet.forward">
-<span class="sig-prename descclassname"><span class="pre">ConvTasNet.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/conv_tasnet.html#ConvTasNet.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.ConvTasNet.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">ConvTasNet.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/conv_tasnet.html#ConvTasNet.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.ConvTasNet.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Perform source separation. Generate audio source waveforms.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – 3D Tensor with shape [batch, channel==1, frames]</p>
+<dd class="field-odd"><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – 3D Tensor with shape [batch, channel==1, frames]</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>3D Tensor with shape [batch, channel==num_sources, frames]</p>
diff --git a/main/generated/torchaudio.models.DeepSpeech.html b/main/generated/torchaudio.models.DeepSpeech.html
index b94105374ee..017189617fd 100644
--- a/main/generated/torchaudio.models.DeepSpeech.html
+++ b/main/generated/torchaudio.models.DeepSpeech.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>DeepSpeech &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>DeepSpeech &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -462,10 +462,10 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.DeepSpeech.forward">
-<span class="sig-prename descclassname"><span class="pre">DeepSpeech.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/deepspeech.html#DeepSpeech.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.DeepSpeech.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DeepSpeech.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/deepspeech.html#DeepSpeech.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.DeepSpeech.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Tensor of dimension (batch, channel, time, feature).</p>
+<dd class="field-odd"><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Tensor of dimension (batch, channel, time, feature).</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Predictor tensor of dimension (batch, time, class).</p>
diff --git a/main/generated/torchaudio.models.Emformer.html b/main/generated/torchaudio.models.Emformer.html
index 2802a7ef127..7ac54d3315e 100644
--- a/main/generated/torchaudio.models.Emformer.html
+++ b/main/generated/torchaudio.models.Emformer.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Emformer &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Emformer &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -493,7 +493,7 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.Emformer.forward">
-<span class="sig-prename descclassname"><span class="pre">Emformer.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.models.Emformer.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Emformer.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.models.Emformer.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Forward pass for training and non-streaming inference.</p>
 <p>B: batch size;
 T: max number of input frames in batch;
@@ -501,9 +501,9 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – utterance frames right-padded with right context frames, with
+<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – utterance frames right-padded with right context frames, with
 shape <cite>(B, T + right_context_length, D)</cite>.</p></li>
-<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 number of valid utterance frames for i-th batch element in <code class="docutils literal notranslate"><span class="pre">input</span></code>.</p></li>
 </ul>
 </dd>
@@ -530,18 +530,18 @@ <h2>infer<a class="headerlink" href="#infer" title="Permalink to this heading">
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.Emformer.infer">
-<span class="sig-prename descclassname"><span class="pre">Emformer.</span></span><span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">states</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.models.Emformer.infer" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Emformer.</span></span><span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">states</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.models.Emformer.infer" title="Permalink to this definition">¶</a></dt>
 <dd><p>Forward pass for streaming inference.</p>
 <p>B: batch size;
 D: feature dimension of each frame.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – utterance frames right-padded with right context frames, with
+<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – utterance frames right-padded with right context frames, with
 shape <cite>(B, segment_length + right_context_length, D)</cite>.</p></li>
-<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 number of valid frames for i-th batch element in <code class="docutils literal notranslate"><span class="pre">input</span></code>.</p></li>
-<li><p><strong>states</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em><em>, </em><em>optional</em>) – list of lists of tensors
+<li><p><strong>states</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em><em>, </em><em>optional</em>) – list of lists of tensors
 representing internal state generated in preceding invocation of <code class="docutils literal notranslate"><span class="pre">infer</span></code>. (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 </ul>
 </dd>
diff --git a/main/generated/torchaudio.models.HDemucs.html b/main/generated/torchaudio.models.HDemucs.html
index f5f7a5c6533..2b9d7d60445 100644
--- a/main/generated/torchaudio.models.HDemucs.html
+++ b/main/generated/torchaudio.models.HDemucs.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HDemucs &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>HDemucs &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -497,11 +497,11 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.HDemucs.forward">
-<span class="sig-prename descclassname"><span class="pre">HDemucs.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/_hdemucs.html#HDemucs.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.HDemucs.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">HDemucs.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/_hdemucs.html#HDemucs.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.HDemucs.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>HDemucs forward call</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – input mixed tensor of shape <cite>(batch_size, channel, num_frames)</cite></p>
+<dd class="field-odd"><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – input mixed tensor of shape <cite>(batch_size, channel, num_frames)</cite></p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><dl class="simple">
diff --git a/main/generated/torchaudio.models.HuBERTPretrainModel.html b/main/generated/torchaudio.models.HuBERTPretrainModel.html
index ec173cde998..7e7ffacd646 100644
--- a/main/generated/torchaudio.models.HuBERTPretrainModel.html
+++ b/main/generated/torchaudio.models.HuBERTPretrainModel.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HuBERTPretrainModel &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>HuBERTPretrainModel &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -454,8 +454,8 @@ <h1>HuBERTPretrainModel<a class="headerlink" href="#hubertpretrainmodel" title="
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>wav2vec2</strong> (<a class="reference internal" href="torchaudio.models.Wav2Vec2Model.html#torchaudio.models.Wav2Vec2Model" title="torchaudio.models.Wav2Vec2Model"><em>Wav2Vec2Model</em></a>) – Wav2Vec2 encoder that generates the transformer outputs.</p></li>
-<li><p><strong>mask_generator</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><em>torch.nn.Module</em></a>) – Mask generator that generates the mask for masked prediction during the training.</p></li>
-<li><p><strong>logit_generator</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><em>torch.nn.Module</em></a>) – Logit generator that predicts the logits of the masked and unmasked inputs.</p></li>
+<li><p><strong>mask_generator</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><em>torch.nn.Module</em></a>) – Mask generator that generates the mask for masked prediction during the training.</p></li>
+<li><p><strong>logit_generator</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><em>torch.nn.Module</em></a>) – Logit generator that predicts the logits of the masked and unmasked inputs.</p></li>
 <li><p><strong>feature_grad_mult</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><em>None</em>) – The factor to scale the convolutional feature extraction layer gradients by.
 If <code class="docutils literal notranslate"><span class="pre">None</span></code>, the gradients of feature extraction layers are not affected.
 The scale factor will not affect the forward pass.</p></li>
@@ -472,7 +472,7 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.HuBERTPretrainModel.forward">
-<span class="sig-prename descclassname"><span class="pre">HuBERTPretrainModel.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveforms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">audio_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/model.html#HuBERTPretrainModel.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.HuBERTPretrainModel.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">HuBERTPretrainModel.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveforms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">audio_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/model.html#HuBERTPretrainModel.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.HuBERTPretrainModel.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute the sequence of probability distribution over labels.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.models.RNNT.html b/main/generated/torchaudio.models.RNNT.html
index cfbe153ef89..bd42bf28405 100644
--- a/main/generated/torchaudio.models.RNNT.html
+++ b/main/generated/torchaudio.models.RNNT.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>RNNT &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>RNNT &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -453,9 +453,9 @@ <h1>RNNT<a class="headerlink" href="#rnnt" title="Permalink to this heading">¶<
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>transcriber</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><em>torch.nn.Module</em></a>) – transcription network.</p></li>
-<li><p><strong>predictor</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><em>torch.nn.Module</em></a>) – prediction network.</p></li>
-<li><p><strong>joiner</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><em>torch.nn.Module</em></a>) – joint network.</p></li>
+<li><p><strong>transcriber</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><em>torch.nn.Module</em></a>) – transcription network.</p></li>
+<li><p><strong>predictor</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><em>torch.nn.Module</em></a>) – prediction network.</p></li>
+<li><p><strong>joiner</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><em>torch.nn.Module</em></a>) – joint network.</p></li>
 </ul>
 </dd>
 </dl>
@@ -469,7 +469,7 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.RNNT.forward">
-<span class="sig-prename descclassname"><span class="pre">RNNT.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sources</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">predictor_state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt.html#RNNT.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNT.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RNNT.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sources</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">predictor_state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt.html#RNNT.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNT.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Forward pass for training.</p>
 <p>B: batch size;
 T: maximum source sequence length in batch;
@@ -478,15 +478,15 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>sources</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – source frame sequences right-padded with right context, with
+<li><p><strong>sources</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – source frame sequences right-padded with right context, with
 shape <cite>(B, T, D)</cite>.</p></li>
-<li><p><strong>source_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>source_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 number of valid frames for i-th batch element in <code class="docutils literal notranslate"><span class="pre">sources</span></code>.</p></li>
-<li><p><strong>targets</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – target sequences, with shape <cite>(B, U)</cite> and each element
+<li><p><strong>targets</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – target sequences, with shape <cite>(B, U)</cite> and each element
 mapping to a target symbol.</p></li>
-<li><p><strong>target_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>target_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 number of valid frames for i-th batch element in <code class="docutils literal notranslate"><span class="pre">targets</span></code>.</p></li>
-<li><p><strong>predictor_state</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em><em>, </em><em>optional</em>) – list of lists of tensors
+<li><p><strong>predictor_state</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em><em>, </em><em>optional</em>) – list of lists of tensors
 representing prediction network internal state generated in preceding invocation
 of <code class="docutils literal notranslate"><span class="pre">forward</span></code>. (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 </ul>
@@ -510,7 +510,7 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>, List[List[<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>]])</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>, List[List[<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>]])</p>
 </dd>
 </dl>
 </dd></dl>
@@ -522,7 +522,7 @@ <h2>transcribe_streaming<a class="headerlink" href="#transcribe-streaming" title
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.RNNT.transcribe_streaming">
-<span class="sig-prename descclassname"><span class="pre">RNNT.</span></span><span class="sig-name descname"><span class="pre">transcribe_streaming</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sources</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt.html#RNNT.transcribe_streaming"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNT.transcribe_streaming" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RNNT.</span></span><span class="sig-name descname"><span class="pre">transcribe_streaming</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sources</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt.html#RNNT.transcribe_streaming"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNT.transcribe_streaming" title="Permalink to this definition">¶</a></dt>
 <dd><p>Applies transcription network to sources in streaming mode.</p>
 <p>B: batch size;
 T: maximum source sequence segment length in batch;
@@ -530,11 +530,11 @@ <h2>transcribe_streaming<a class="headerlink" href="#transcribe-streaming" title
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>sources</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – source frame sequence segments right-padded with right context, with
+<li><p><strong>sources</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – source frame sequence segments right-padded with right context, with
 shape <cite>(B, T + right context length, D)</cite>.</p></li>
-<li><p><strong>source_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>source_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 number of valid frames for i-th batch element in <code class="docutils literal notranslate"><span class="pre">sources</span></code>.</p></li>
-<li><p><strong>state</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em>) – list of lists of tensors
+<li><p><strong>state</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em>) – list of lists of tensors
 representing transcription network internal state generated in preceding invocation
 of <code class="docutils literal notranslate"><span class="pre">transcribe_streaming</span></code>.</p></li>
 </ul>
@@ -555,7 +555,7 @@ <h2>transcribe_streaming<a class="headerlink" href="#transcribe-streaming" title
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>, List[List[<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>]])</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>, List[List[<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>]])</p>
 </dd>
 </dl>
 </dd></dl>
@@ -567,7 +567,7 @@ <h2>transcribe<a class="headerlink" href="#transcribe" title="Permalink to this
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.RNNT.transcribe">
-<span class="sig-prename descclassname"><span class="pre">RNNT.</span></span><span class="sig-name descname"><span class="pre">transcribe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sources</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt.html#RNNT.transcribe"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNT.transcribe" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RNNT.</span></span><span class="sig-name descname"><span class="pre">transcribe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sources</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt.html#RNNT.transcribe"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNT.transcribe" title="Permalink to this definition">¶</a></dt>
 <dd><p>Applies transcription network to sources in non-streaming mode.</p>
 <p>B: batch size;
 T: maximum source sequence length in batch;
@@ -575,9 +575,9 @@ <h2>transcribe<a class="headerlink" href="#transcribe" title="Permalink to this
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>sources</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – source frame sequences right-padded with right context, with
+<li><p><strong>sources</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – source frame sequences right-padded with right context, with
 shape <cite>(B, T + right context length, D)</cite>.</p></li>
-<li><p><strong>source_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>source_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 number of valid frames for i-th batch element in <code class="docutils literal notranslate"><span class="pre">sources</span></code>.</p></li>
 </ul>
 </dd>
@@ -593,7 +593,7 @@ <h2>transcribe<a class="headerlink" href="#transcribe" title="Permalink to this
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>)</p>
 </dd>
 </dl>
 </dd></dl>
@@ -605,7 +605,7 @@ <h2>predict<a class="headerlink" href="#predict" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.RNNT.predict">
-<span class="sig-prename descclassname"><span class="pre">RNNT.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt.html#RNNT.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNT.predict" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RNNT.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt.html#RNNT.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNT.predict" title="Permalink to this definition">¶</a></dt>
 <dd><p>Applies prediction network to targets.</p>
 <p>B: batch size;
 U: maximum target sequence length in batch;
@@ -613,11 +613,11 @@ <h2>predict<a class="headerlink" href="#predict" title="Permalink to this headin
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>targets</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – target sequences, with shape <cite>(B, U)</cite> and each element
+<li><p><strong>targets</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – target sequences, with shape <cite>(B, U)</cite> and each element
 mapping to a target symbol, i.e. in range <cite>[0, num_symbols)</cite>.</p></li>
-<li><p><strong>target_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>target_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 number of valid frames for i-th batch element in <code class="docutils literal notranslate"><span class="pre">targets</span></code>.</p></li>
-<li><p><strong>state</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em>) – list of lists of tensors
+<li><p><strong>state</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em>) – list of lists of tensors
 representing internal state generated in preceding invocation
 of <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p></li>
 </ul>
@@ -636,7 +636,7 @@ <h2>predict<a class="headerlink" href="#predict" title="Permalink to this headin
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>, List[List[<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>]])</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>, List[List[<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>]])</p>
 </dd>
 </dl>
 </dd></dl>
@@ -648,7 +648,7 @@ <h2>join<a class="headerlink" href="#join" title="Permalink to this heading">¶<
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.RNNT.join">
-<span class="sig-prename descclassname"><span class="pre">RNNT.</span></span><span class="sig-name descname"><span class="pre">join</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">source_encodings</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_encodings</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt.html#RNNT.join"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNT.join" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RNNT.</span></span><span class="sig-name descname"><span class="pre">join</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">source_encodings</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_encodings</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt.html#RNNT.join"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNT.join" title="Permalink to this definition">¶</a></dt>
 <dd><p>Applies joint network to source and target encodings.</p>
 <p>B: batch size;
 T: maximum source sequence length in batch;
@@ -657,12 +657,12 @@ <h2>join<a class="headerlink" href="#join" title="Permalink to this heading">¶<
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>source_encodings</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – source encoding sequences, with
+<li><p><strong>source_encodings</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – source encoding sequences, with
 shape <cite>(B, T, D)</cite>.</p></li>
-<li><p><strong>source_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>source_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 valid sequence length of i-th batch element in <code class="docutils literal notranslate"><span class="pre">source_encodings</span></code>.</p></li>
-<li><p><strong>target_encodings</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – target encoding sequences, with shape <cite>(B, U, D)</cite>.</p></li>
-<li><p><strong>target_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>target_encodings</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – target encoding sequences, with shape <cite>(B, U, D)</cite>.</p></li>
+<li><p><strong>target_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 valid sequence length of i-th batch element in <code class="docutils literal notranslate"><span class="pre">target_encodings</span></code>.</p></li>
 </ul>
 </dd>
@@ -680,7 +680,7 @@ <h2>join<a class="headerlink" href="#join" title="Permalink to this heading">¶<
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>)</p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.models.RNNTBeamSearch.html b/main/generated/torchaudio.models.RNNTBeamSearch.html
index 7dba787e80b..9a81304b77a 100644
--- a/main/generated/torchaudio.models.RNNTBeamSearch.html
+++ b/main/generated/torchaudio.models.RNNTBeamSearch.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>RNNTBeamSearch &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>RNNTBeamSearch &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>RNNTBeamSearch<a class="headerlink" href="#rnntbeamsearch" title="Permalink to this heading">¶</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="torchaudio.models.RNNTBeamSearch">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.models.</span></span><span class="sig-name descname"><span class="pre">RNNTBeamSearch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="torchaudio.models.RNNT.html#torchaudio.models.RNNT" title="torchaudio.models.rnnt.RNNT"><span class="pre">RNNT</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">temperature</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hypo_sort_key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Callable" title="(in Python v3.12)"><span class="pre">Callable</span></a><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">step_max_tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/rnnt_decoder.html#RNNTBeamSearch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNTBeamSearch" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.models.</span></span><span class="sig-name descname"><span class="pre">RNNTBeamSearch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="torchaudio.models.RNNT.html#torchaudio.models.RNNT" title="torchaudio.models.rnnt.RNNT"><span class="pre">RNNT</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">temperature</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hypo_sort_key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Callable" title="(in Python v3.12)"><span class="pre">Callable</span></a><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">step_max_tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/rnnt_decoder.html#RNNTBeamSearch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNTBeamSearch" title="Permalink to this definition">¶</a></dt>
 <dd><p>Beam search decoder for RNN-T model.</p>
 <div class="admonition seealso">
 <p class="admonition-title">See also</p>
@@ -481,15 +481,15 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.RNNTBeamSearch.forward">
-<span class="sig-prename descclassname"><span class="pre">RNNTBeamSearch.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">beam_width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt_decoder.html#RNNTBeamSearch.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNTBeamSearch.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RNNTBeamSearch.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">beam_width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt_decoder.html#RNNTBeamSearch.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNTBeamSearch.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Performs beam search for the given input sequence.</p>
 <p>T: number of frames;
 D: feature dimension of each frame.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – sequence of input frames, with shape (T, D) or (1, T, D).</p></li>
-<li><p><strong>length</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – number of valid frames in input
+<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – sequence of input frames, with shape (T, D) or (1, T, D).</p></li>
+<li><p><strong>length</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – number of valid frames in input
 sequence, with shape () or (1,).</p></li>
 <li><p><strong>beam_width</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – beam size to use during search.</p></li>
 </ul>
@@ -510,18 +510,18 @@ <h2>infer<a class="headerlink" href="#infer" title="Permalink to this heading">
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.RNNTBeamSearch.infer">
-<span class="sig-prename descclassname"><span class="pre">RNNTBeamSearch.</span></span><span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">beam_width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hypothesis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt_decoder.html#RNNTBeamSearch.infer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNTBeamSearch.infer" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RNNTBeamSearch.</span></span><span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">beam_width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hypothesis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt_decoder.html#RNNTBeamSearch.infer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNTBeamSearch.infer" title="Permalink to this definition">¶</a></dt>
 <dd><p>Performs beam search for the given input sequence in streaming mode.</p>
 <p>T: number of frames;
 D: feature dimension of each frame.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – sequence of input frames, with shape (T, D) or (1, T, D).</p></li>
-<li><p><strong>length</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – number of valid frames in input
+<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – sequence of input frames, with shape (T, D) or (1, T, D).</p></li>
+<li><p><strong>length</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – number of valid frames in input
 sequence, with shape () or (1,).</p></li>
 <li><p><strong>beam_width</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – beam size to use during search.</p></li>
-<li><p><strong>state</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em><em>, </em><em>optional</em>) – list of lists of tensors
+<li><p><strong>state</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em><em>, </em><em>optional</em>) – list of lists of tensors
 representing transcription network internal state generated in preceding
 invocation. (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 <li><p><strong>hypothesis</strong> (<em>List</em><em>[</em><em>Hypothesis</em><em>] or </em><em>None</em>) – hypotheses from preceding invocation to seed
@@ -539,7 +539,7 @@ <h2>infer<a class="headerlink" href="#infer" title="Permalink to this heading">
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(List[Hypothesis], List[List[<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>]])</p>
+<dd class="field-odd"><p>(List[Hypothesis], List[List[<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>]])</p>
 </dd>
 </dl>
 </dd></dl>
@@ -557,7 +557,7 @@ <h2>Hypothesis<a class="headerlink" href="#hypothesis" title="Permalink to this
 <span class="sig-prename descclassname"><span class="pre">torchaudio.models.</span></span><span class="sig-name descname"><span class="pre">Hypothesis</span></span><a class="headerlink" href="#torchaudio.models.Hypothesis" title="Permalink to this definition">¶</a></dt>
 <dd><p>Hypothesis generated by RNN-T beam search decoder,
 represented as tuple of (tokens, prediction network output, prediction network state, score).</p>
-<p>alias of <code class="xref py py-class docutils literal notranslate"><span class="pre">Tuple</span></code>[<a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">List</span></code></a>[<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code></a>], <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tensor</span></code></a>, <a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">List</span></code></a>[<a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">List</span></code></a>[<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tensor</span></code></a>]], <a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code></a>]</p>
+<p>alias of <code class="xref py py-class docutils literal notranslate"><span class="pre">Tuple</span></code>[<a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">List</span></code></a>[<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code></a>], <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tensor</span></code></a>, <a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">List</span></code></a>[<a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">List</span></code></a>[<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tensor</span></code></a>]], <a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code></a>]</p>
 </dd></dl>
 
 </div>
diff --git a/main/generated/torchaudio.models.SquimObjective.html b/main/generated/torchaudio.models.SquimObjective.html
index c39b33d62fd..5e4650eaf2d 100644
--- a/main/generated/torchaudio.models.SquimObjective.html
+++ b/main/generated/torchaudio.models.SquimObjective.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SquimObjective &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>SquimObjective &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,15 +440,15 @@
 <h1>SquimObjective<a class="headerlink" href="#squimobjective" title="Permalink to this heading">¶</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="torchaudio.models.SquimObjective">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.models.</span></span><span class="sig-name descname"><span class="pre">SquimObjective</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">encoder</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">dprnn</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">branches</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.ModuleList.html#torch.nn.ModuleList" title="(in PyTorch v2.2)"><span class="pre">ModuleList</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/squim/objective.html#SquimObjective"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.SquimObjective" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.models.</span></span><span class="sig-name descname"><span class="pre">SquimObjective</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">encoder</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">dprnn</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">branches</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.ModuleList.html#torch.nn.ModuleList" title="(in PyTorch v2.3)"><span class="pre">ModuleList</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/squim/objective.html#SquimObjective"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.SquimObjective" title="Permalink to this definition">¶</a></dt>
 <dd><p>Speech Quality and Intelligibility Measures (SQUIM) model that predicts <strong>objective</strong> metric scores
 for speech enhancement (e.g., STOI, PESQ, and SI-SDR).</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>encoder</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><em>torch.nn.Module</em></a>) – Encoder module to transform 1D waveform to 2D feature representation.</p></li>
-<li><p><strong>dprnn</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><em>torch.nn.Module</em></a>) – DPRNN module to model sequential feature.</p></li>
-<li><p><strong>branches</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.ModuleList.html#torch.nn.ModuleList" title="(in PyTorch v2.2)"><em>torch.nn.ModuleList</em></a>) – Transformer branches in which each branch estimate one objective metirc score.</p></li>
+<li><p><strong>encoder</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><em>torch.nn.Module</em></a>) – Encoder module to transform 1D waveform to 2D feature representation.</p></li>
+<li><p><strong>dprnn</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><em>torch.nn.Module</em></a>) – DPRNN module to model sequential feature.</p></li>
+<li><p><strong>branches</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.ModuleList.html#torch.nn.ModuleList" title="(in PyTorch v2.3)"><em>torch.nn.ModuleList</em></a>) – Transformer branches in which each branch estimate one objective metirc score.</p></li>
 </ul>
 </dd>
 </dl>
@@ -468,16 +468,16 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.SquimObjective.forward">
-<span class="sig-prename descclassname"><span class="pre">SquimObjective.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/squim/objective.html#SquimObjective.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.SquimObjective.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">SquimObjective.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/squim/objective.html#SquimObjective.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.SquimObjective.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Input waveforms. Tensor with dimensions <cite>(batch, time)</cite>.</p>
+<dd class="field-odd"><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Input waveforms. Tensor with dimensions <cite>(batch, time)</cite>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>List of score Tenosrs. Each Tensor is with dimension <cite>(batch,)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>List(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>)</p>
+<dd class="field-odd"><p>List(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>)</p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.models.SquimSubjective.html b/main/generated/torchaudio.models.SquimSubjective.html
index 1dff4f1f865..0a49ae75cb4 100644
--- a/main/generated/torchaudio.models.SquimSubjective.html
+++ b/main/generated/torchaudio.models.SquimSubjective.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SquimSubjective &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>SquimSubjective &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,16 +440,16 @@
 <h1>SquimSubjective<a class="headerlink" href="#squimsubjective" title="Permalink to this heading">¶</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="torchaudio.models.SquimSubjective">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.models.</span></span><span class="sig-name descname"><span class="pre">SquimSubjective</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ssl_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">projector</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">predictor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><span class="pre">Module</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/squim/subjective.html#SquimSubjective"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.SquimSubjective" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.models.</span></span><span class="sig-name descname"><span class="pre">SquimSubjective</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ssl_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">projector</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">predictor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><span class="pre">Module</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/squim/subjective.html#SquimSubjective"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.SquimSubjective" title="Permalink to this definition">¶</a></dt>
 <dd><p>Speech Quality and Intelligibility Measures (SQUIM) model that predicts <strong>subjective</strong> metric scores
 for speech enhancement (e.g., Mean Opinion Score (MOS)). The model is adopted from <em>NORESQA-MOS</em>
 <span id="id1">[<a class="reference internal" href="../references.html#id66" title="Pranay Manocha and Anurag Kumar. Speech quality assessment through mos using non-matching references. arXiv preprint arXiv:2206.12285, 2022.">Manocha and Kumar, 2022</a>]</span> which predicts MOS scores given the input speech and a non-matching reference.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>ssl_model</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><em>torch.nn.Module</em></a>) – The self-supervised learning model for feature extraction.</p></li>
-<li><p><strong>projector</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><em>torch.nn.Module</em></a>) – Projection layer that projects SSL feature to a lower dimension.</p></li>
-<li><p><strong>predictor</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><em>torch.nn.Module</em></a>) – Predict the subjective scores.</p></li>
+<li><p><strong>ssl_model</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><em>torch.nn.Module</em></a>) – The self-supervised learning model for feature extraction.</p></li>
+<li><p><strong>projector</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><em>torch.nn.Module</em></a>) – Projection layer that projects SSL feature to a lower dimension.</p></li>
+<li><p><strong>predictor</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><em>torch.nn.Module</em></a>) – Predict the subjective scores.</p></li>
 </ul>
 </dd>
 </dl>
@@ -469,20 +469,20 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.SquimSubjective.forward">
-<span class="sig-prename descclassname"><span class="pre">SquimSubjective.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/squim/subjective.html#SquimSubjective.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.SquimSubjective.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">SquimSubjective.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/squim/subjective.html#SquimSubjective.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.SquimSubjective.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Predict subjective evaluation metric score.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Input waveform for evaluation. Tensor with dimensions <cite>(batch, time)</cite>.</p></li>
-<li><p><strong>reference</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Non-matching clean reference. Tensor with dimensions <cite>(batch, time_ref)</cite>.</p></li>
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Input waveform for evaluation. Tensor with dimensions <cite>(batch, time)</cite>.</p></li>
+<li><p><strong>reference</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Non-matching clean reference. Tensor with dimensions <cite>(batch, time_ref)</cite>.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Subjective metric score. Tensor with dimensions <cite>(batch,)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>)</p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.models.Tacotron2.html b/main/generated/torchaudio.models.Tacotron2.html
index fe7de58acf7..439ecdc6089 100644
--- a/main/generated/torchaudio.models.Tacotron2.html
+++ b/main/generated/torchaudio.models.Tacotron2.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Tacotron2 &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Tacotron2 &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -494,7 +494,7 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.Tacotron2.forward">
-<span class="sig-prename descclassname"><span class="pre">Tacotron2.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">token_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mel_specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mel_specgram_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/tacotron2.html#Tacotron2.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Tacotron2.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Tacotron2.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">token_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mel_specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mel_specgram_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/tacotron2.html#Tacotron2.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Tacotron2.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Pass the input through the Tacotron2 model. This is in teacher
 forcing mode, which is generally used for training.</p>
 <p>The input <code class="docutils literal notranslate"><span class="pre">tokens</span></code> should be padded with zeros to length max of <code class="docutils literal notranslate"><span class="pre">token_lengths</span></code>.
@@ -536,7 +536,7 @@ <h2>infer<a class="headerlink" href="#infer" title="Permalink to this heading">
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.Tacotron2.infer">
-<span class="sig-prename descclassname"><span class="pre">Tacotron2.</span></span><span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/tacotron2.html#Tacotron2.infer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Tacotron2.infer" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Tacotron2.</span></span><span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/tacotron2.html#Tacotron2.infer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Tacotron2.infer" title="Permalink to this definition">¶</a></dt>
 <dd><p>Using Tacotron2 for inference. The input is a batch of encoded
 sentences (<code class="docutils literal notranslate"><span class="pre">tokens</span></code>) and its corresponding lengths (<code class="docutils literal notranslate"><span class="pre">lengths</span></code>). The
 output is the generated mel spectrograms, its corresponding lengths, and
diff --git a/main/generated/torchaudio.models.Wav2Letter.html b/main/generated/torchaudio.models.Wav2Letter.html
index 05ac4c7e69e..d0812d988b2 100644
--- a/main/generated/torchaudio.models.Wav2Letter.html
+++ b/main/generated/torchaudio.models.Wav2Letter.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Wav2Letter &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Wav2Letter &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -469,10 +469,10 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.Wav2Letter.forward">
-<span class="sig-prename descclassname"><span class="pre">Wav2Letter.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2letter.html#Wav2Letter.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Wav2Letter.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Wav2Letter.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2letter.html#Wav2Letter.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Wav2Letter.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Tensor of dimension (batch_size, num_features, input_length).</p>
+<dd class="field-odd"><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Tensor of dimension (batch_size, num_features, input_length).</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Predictor tensor of dimension (batch_size, number_of_classes, input_length).</p>
diff --git a/main/generated/torchaudio.models.Wav2Vec2Model.html b/main/generated/torchaudio.models.Wav2Vec2Model.html
index 3c6b1b63049..4ba8e45369f 100644
--- a/main/generated/torchaudio.models.Wav2Vec2Model.html
+++ b/main/generated/torchaudio.models.Wav2Vec2Model.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Wav2Vec2Model &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Wav2Vec2Model &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>Wav2Vec2Model<a class="headerlink" href="#wav2vec2model" title="Permalink to this heading">¶</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="torchaudio.models.Wav2Vec2Model">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.models.</span></span><span class="sig-name descname"><span class="pre">Wav2Vec2Model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature_extractor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoder</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">aux</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><span class="pre">Module</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/model.html#Wav2Vec2Model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Wav2Vec2Model" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.models.</span></span><span class="sig-name descname"><span class="pre">Wav2Vec2Model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature_extractor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoder</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">aux</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><span class="pre">Module</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/model.html#Wav2Vec2Model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Wav2Vec2Model" title="Permalink to this definition">¶</a></dt>
 <dd><p>Acoustic model used in <em>wav2vec 2.0</em> <span id="id1">[<a class="reference internal" href="../references.html#id15" title="Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, and Michael Auli. Wav2vec 2.0: a framework for self-supervised learning of speech representations. 2020. arXiv:2006.11477.">Baevski <em>et al.</em>, 2020</a>]</span>.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -456,10 +456,10 @@ <h1>Wav2Vec2Model<a class="headerlink" href="#wav2vec2model" title="Permalink to
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>feature_extractor</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><em>torch.nn.Module</em></a>) – Feature extractor that extracts feature vectors from raw audio Tensor.</p></li>
-<li><p><strong>encoder</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><em>torch.nn.Module</em></a>) – Encoder that converts the audio features into the sequence of probability
+<li><p><strong>feature_extractor</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><em>torch.nn.Module</em></a>) – Feature extractor that extracts feature vectors from raw audio Tensor.</p></li>
+<li><p><strong>encoder</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><em>torch.nn.Module</em></a>) – Encoder that converts the audio features into the sequence of probability
 distribution (in negative log-likelihood) over labels.</p></li>
-<li><p><strong>aux</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><em>torch.nn.Module</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Auxiliary module. If provided, the output from encoder is passed to this module.</p></li>
+<li><p><strong>aux</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><em>torch.nn.Module</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Auxiliary module. If provided, the output from encoder is passed to this module.</p></li>
 </ul>
 </dd>
 </dl>
@@ -485,7 +485,7 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.Wav2Vec2Model.forward">
-<span class="sig-prename descclassname"><span class="pre">Wav2Vec2Model.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveforms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/model.html#Wav2Vec2Model.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Wav2Vec2Model.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Wav2Vec2Model.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveforms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/model.html#Wav2Vec2Model.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Wav2Vec2Model.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute the sequence of probability distribution over labels.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -526,7 +526,7 @@ <h2>extract_features<a class="headerlink" href="#extract-features" title="Permal
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.Wav2Vec2Model.extract_features">
-<span class="sig-prename descclassname"><span class="pre">Wav2Vec2Model.</span></span><span class="sig-name descname"><span class="pre">extract_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveforms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/model.html#Wav2Vec2Model.extract_features"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Wav2Vec2Model.extract_features" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Wav2Vec2Model.</span></span><span class="sig-name descname"><span class="pre">extract_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveforms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/model.html#Wav2Vec2Model.extract_features"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Wav2Vec2Model.extract_features" title="Permalink to this definition">¶</a></dt>
 <dd><p>Extract feature vectors from raw waveforms</p>
 <p>This returns the list of outputs from the intermediate layers of
 transformer block in encoder.</p>
diff --git a/main/generated/torchaudio.models.WaveRNN.html b/main/generated/torchaudio.models.WaveRNN.html
index af9ee0b2a9f..fe7672544dd 100644
--- a/main/generated/torchaudio.models.WaveRNN.html
+++ b/main/generated/torchaudio.models.WaveRNN.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WaveRNN &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>WaveRNN &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -494,7 +494,7 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.WaveRNN.forward">
-<span class="sig-prename descclassname"><span class="pre">WaveRNN.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/wavernn.html#WaveRNN.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.WaveRNN.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">WaveRNN.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/wavernn.html#WaveRNN.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.WaveRNN.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Pass the input through the WaveRNN model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -519,7 +519,7 @@ <h2>infer<a class="headerlink" href="#infer" title="Permalink to this heading">
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.WaveRNN.infer">
-<span class="sig-prename descclassname"><span class="pre">WaveRNN.</span></span><span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/wavernn.html#WaveRNN.infer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.WaveRNN.infer" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">WaveRNN.</span></span><span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/wavernn.html#WaveRNN.infer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.WaveRNN.infer" title="Permalink to this definition">¶</a></dt>
 <dd><p>Inference method of WaveRNN.</p>
 <p>This function currently only supports multinomial sampling, which assumes the
 network is trained on cross entropy loss.</p>
diff --git a/main/generated/torchaudio.models.conv_tasnet_base.html b/main/generated/torchaudio.models.conv_tasnet_base.html
index 7ab63791d18..b0492d801e3 100644
--- a/main/generated/torchaudio.models.conv_tasnet_base.html
+++ b/main/generated/torchaudio.models.conv_tasnet_base.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.conv_tasnet_base &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.conv_tasnet_base &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.decoder.CTCDecoder.html b/main/generated/torchaudio.models.decoder.CTCDecoder.html
index 3b9f1486d15..b1a8fae0928 100644
--- a/main/generated/torchaudio.models.decoder.CTCDecoder.html
+++ b/main/generated/torchaudio.models.decoder.CTCDecoder.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>CTCDecoder &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>CTCDecoder &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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@@ -463,7 +463,7 @@ <h2>__call__<a class="headerlink" href="#call" title="Permalink to this heading"
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.decoder.CTCDecoder.__call__">
-<span class="sig-prename descclassname"><span class="pre">CTCDecoder.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emissions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">FloatTensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#torchaudio.models.decoder.CTCHypothesis" title="torchaudio.models.decoder._ctc_decoder.CTCHypothesis"><span class="pre">CTCHypothesis</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/decoder/_ctc_decoder.html#CTCDecoder.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.decoder.CTCDecoder.__call__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CTCDecoder.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emissions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">FloatTensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#torchaudio.models.decoder.CTCHypothesis" title="torchaudio.models.decoder._ctc_decoder.CTCHypothesis"><span class="pre">CTCHypothesis</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/decoder/_ctc_decoder.html#CTCDecoder.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.decoder.CTCDecoder.__call__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Performs batched offline decoding.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
diff --git a/main/generated/torchaudio.models.decoder.CUCTCDecoder.html b/main/generated/torchaudio.models.decoder.CUCTCDecoder.html
index 3b4ab91de79..c1140d2d905 100644
--- a/main/generated/torchaudio.models.decoder.CUCTCDecoder.html
+++ b/main/generated/torchaudio.models.decoder.CUCTCDecoder.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>CUCTCDecoder &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>CUCTCDecoder &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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@@ -463,7 +463,7 @@ <h2>__call__<a class="headerlink" href="#call" title="Permalink to this heading"
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.decoder.CUCTCDecoder.__call__">
-<span class="sig-prename descclassname"><span class="pre">CUCTCDecoder.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">log_prob</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoder_out_lens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/decoder/_cuda_ctc_decoder.html#CUCTCDecoder.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.decoder.CUCTCDecoder.__call__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CUCTCDecoder.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">log_prob</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoder_out_lens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/decoder/_cuda_ctc_decoder.html#CUCTCDecoder.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.decoder.CUCTCDecoder.__call__" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
diff --git a/main/generated/torchaudio.models.decoder.ctc_decoder.html b/main/generated/torchaudio.models.decoder.ctc_decoder.html
index aa528d26083..874a32c08a0 100644
--- a/main/generated/torchaudio.models.decoder.ctc_decoder.html
+++ b/main/generated/torchaudio.models.decoder.ctc_decoder.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ctc_decoder &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>ctc_decoder &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
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-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.decoder.cuda_ctc_decoder.html b/main/generated/torchaudio.models.decoder.cuda_ctc_decoder.html
index 15b2d4a7812..3ad6f7b6d6f 100644
--- a/main/generated/torchaudio.models.decoder.cuda_ctc_decoder.html
+++ b/main/generated/torchaudio.models.decoder.cuda_ctc_decoder.html
@@ -10,7 +10,7 @@
 
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-  <title>cuda_ctc_decoder &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.decoder.download_pretrained_files.html b/main/generated/torchaudio.models.decoder.download_pretrained_files.html
index eef37cccc8a..194dd844c85 100644
--- a/main/generated/torchaudio.models.decoder.download_pretrained_files.html
+++ b/main/generated/torchaudio.models.decoder.download_pretrained_files.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>download_pretrained_files &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>download_pretrained_files &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.emformer_rnnt_base.html b/main/generated/torchaudio.models.emformer_rnnt_base.html
index 282c9543fc8..3a47a337757 100644
--- a/main/generated/torchaudio.models.emformer_rnnt_base.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.emformer_rnnt_base &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.emformer_rnnt_base &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
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+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.emformer_rnnt_model.html b/main/generated/torchaudio.models.emformer_rnnt_model.html
index b7ade1352a5..cd854401955 100644
--- a/main/generated/torchaudio.models.emformer_rnnt_model.html
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@@ -10,7 +10,7 @@
 
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+  <title>torchaudio.models.emformer_rnnt_model &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
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-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.hdemucs_high.html b/main/generated/torchaudio.models.hdemucs_high.html
index ed0de93957e..462ab58447a 100644
--- a/main/generated/torchaudio.models.hdemucs_high.html
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-  <title>torchaudio.models.hdemucs_high &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.hdemucs_high &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
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-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.hdemucs_low.html b/main/generated/torchaudio.models.hdemucs_low.html
index 5e1125c3656..b063dcbf128 100644
--- a/main/generated/torchaudio.models.hdemucs_low.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.hdemucs_low &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.hdemucs_low &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.models.hdemucs_medium.html b/main/generated/torchaudio.models.hdemucs_medium.html
index 9a67e6ed352..e041bc3c8ac 100644
--- a/main/generated/torchaudio.models.hdemucs_medium.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.hdemucs_medium &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.hdemucs_medium &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.models.hubert_base.html b/main/generated/torchaudio.models.hubert_base.html
index 47fff74a418..33fce761ee0 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.hubert_base &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.hubert_base &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.models.hubert_large.html b/main/generated/torchaudio.models.hubert_large.html
index 04e3fb300a5..a1640d92489 100644
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-  <title>torchaudio.models.hubert_large &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.hubert_large &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.models.hubert_pretrain_base.html b/main/generated/torchaudio.models.hubert_pretrain_base.html
index 701f2216fd9..4c0e7a3b871 100644
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-  <title>torchaudio.models.hubert_pretrain_base &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.hubert_pretrain_base &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.hubert_pretrain_large.html b/main/generated/torchaudio.models.hubert_pretrain_large.html
index b427d4a86a5..741187ea3be 100644
--- a/main/generated/torchaudio.models.hubert_pretrain_large.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.hubert_pretrain_large &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.hubert_pretrain_large &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
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           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.models.hubert_pretrain_model.html b/main/generated/torchaudio.models.hubert_pretrain_model.html
index ee50bc56b81..48ef7d5d7a1 100644
--- a/main/generated/torchaudio.models.hubert_pretrain_model.html
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-  <title>torchaudio.models.hubert_pretrain_model &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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index 244650956d5..3cf6164a382 100644
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-  <title>torchaudio.models.hubert_pretrain_xlarge &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.hubert_pretrain_xlarge &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
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index 7a30068a6c3..432a1554c12 100644
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-  <title>torchaudio.models.hubert_xlarge &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.hubert_xlarge &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
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index f822f52498b..985de5a0758 100644
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-  <title>torchaudio.models.squim_objective_base &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.squim_objective_base &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
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index 741b3351674..d1240617ec4 100644
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-  <title>torchaudio.models.squim_objective_model &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.squim_objective_model &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
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index 6a0d657c91a..ea9e8e9f4bc 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.squim_subjective_base &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.squim_subjective_base &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
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diff --git a/main/generated/torchaudio.models.squim_subjective_model.html b/main/generated/torchaudio.models.squim_subjective_model.html
index 8ab65fd9e89..1b86bf31655 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.squim_subjective_model &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.squim_subjective_model &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
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+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.wav2vec2.utils.import_fairseq_model.html b/main/generated/torchaudio.models.wav2vec2.utils.import_fairseq_model.html
index 3e8aeae9e90..a94d3f1f6cd 100644
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@@ -10,7 +10,7 @@
 
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-  <title>torchaudio.models.wav2vec2.utils.import_fairseq_model &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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@@ -442,12 +442,12 @@
 <h1>torchaudio.models.wav2vec2.utils.import_fairseq_model<a class="headerlink" href="#torchaudio-models-wav2vec2-utils-import-fairseq-model" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.models.wav2vec2.utils.import_fairseq_model">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.models.wav2vec2.utils.</span></span><span class="sig-name descname"><span class="pre">import_fairseq_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">original</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><span class="pre">Module</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="torchaudio.models.Wav2Vec2Model.html#torchaudio.models.Wav2Vec2Model" title="torchaudio.models.wav2vec2.model.Wav2Vec2Model"><span class="pre">Wav2Vec2Model</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/utils/import_fairseq.html#import_fairseq_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.wav2vec2.utils.import_fairseq_model" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.models.wav2vec2.utils.</span></span><span class="sig-name descname"><span class="pre">import_fairseq_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">original</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><span class="pre">Module</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="torchaudio.models.Wav2Vec2Model.html#torchaudio.models.Wav2Vec2Model" title="torchaudio.models.wav2vec2.model.Wav2Vec2Model"><span class="pre">Wav2Vec2Model</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/utils/import_fairseq.html#import_fairseq_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.wav2vec2.utils.import_fairseq_model" title="Permalink to this definition">¶</a></dt>
 <dd><p>Builds <code class="xref py py-class docutils literal notranslate"><span class="pre">Wav2Vec2Model</span></code> from the corresponding model object of
 <a class="reference external" href="https://github.com/pytorch/fairseq">fairseq</a>.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>original</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><em>torch.nn.Module</em></a>) – An instance of fairseq’s Wav2Vec2.0 or HuBERT model.
+<dd class="field-odd"><p><strong>original</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><em>torch.nn.Module</em></a>) – An instance of fairseq’s Wav2Vec2.0 or HuBERT model.
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diff --git a/main/generated/torchaudio.models.wav2vec2.utils.import_huggingface_model.html b/main/generated/torchaudio.models.wav2vec2.utils.import_huggingface_model.html
index 81f2ec0eea3..7c3d5a1c359 100644
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   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.wav2vec2.utils.import_huggingface_model &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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@@ -442,12 +442,12 @@
 <h1>torchaudio.models.wav2vec2.utils.import_huggingface_model<a class="headerlink" href="#torchaudio-models-wav2vec2-utils-import-huggingface-model" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.models.wav2vec2.utils.import_huggingface_model">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.models.wav2vec2.utils.</span></span><span class="sig-name descname"><span class="pre">import_huggingface_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">original</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><span class="pre">Module</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="torchaudio.models.Wav2Vec2Model.html#torchaudio.models.Wav2Vec2Model" title="torchaudio.models.wav2vec2.model.Wav2Vec2Model"><span class="pre">Wav2Vec2Model</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/utils/import_huggingface.html#import_huggingface_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.wav2vec2.utils.import_huggingface_model" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.models.wav2vec2.utils.</span></span><span class="sig-name descname"><span class="pre">import_huggingface_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">original</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><span class="pre">Module</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="torchaudio.models.Wav2Vec2Model.html#torchaudio.models.Wav2Vec2Model" title="torchaudio.models.wav2vec2.model.Wav2Vec2Model"><span class="pre">Wav2Vec2Model</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/utils/import_huggingface.html#import_huggingface_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.wav2vec2.utils.import_huggingface_model" title="Permalink to this definition">¶</a></dt>
 <dd><p>Builds <code class="xref py py-class docutils literal notranslate"><span class="pre">Wav2Vec2Model</span></code> from the corresponding model object of
 <a class="reference external" href="https://huggingface.co/transformers/">Transformers</a>.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>original</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><em>torch.nn.Module</em></a>) – An instance of <code class="docutils literal notranslate"><span class="pre">Wav2Vec2ForCTC</span></code> from <code class="docutils literal notranslate"><span class="pre">transformers</span></code>.</p>
+<dd class="field-odd"><p><strong>original</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><em>torch.nn.Module</em></a>) – An instance of <code class="docutils literal notranslate"><span class="pre">Wav2Vec2ForCTC</span></code> from <code class="docutils literal notranslate"><span class="pre">transformers</span></code>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Imported model.</p>
diff --git a/main/generated/torchaudio.models.wav2vec2_base.html b/main/generated/torchaudio.models.wav2vec2_base.html
index 68d07f8f609..2dfccdb3d62 100644
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index e973e1697fc..93aaed16bbb 100644
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-  <title>torchaudio.models.wav2vec2_large &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.wav2vec2_large &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
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diff --git a/main/generated/torchaudio.models.wav2vec2_large_lv60k.html b/main/generated/torchaudio.models.wav2vec2_large_lv60k.html
index d680880528b..86b5943236c 100644
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   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.wav2vec2_large_lv60k &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.wav2vec2_large_lv60k &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
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+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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index 3aceadd4734..c438e8e9d87 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.wav2vec2_model &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.wav2vec2_model &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.wav2vec2_xlsr_1b.html b/main/generated/torchaudio.models.wav2vec2_xlsr_1b.html
index db45fdda16f..77c4d78a13c 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.wav2vec2_xlsr_1b &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.wav2vec2_xlsr_1b &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
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+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.models.wav2vec2_xlsr_2b.html b/main/generated/torchaudio.models.wav2vec2_xlsr_2b.html
index 6b25558ea03..25c74261de3 100644
--- a/main/generated/torchaudio.models.wav2vec2_xlsr_2b.html
+++ b/main/generated/torchaudio.models.wav2vec2_xlsr_2b.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.wav2vec2_xlsr_2b &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.wav2vec2_xlsr_2b &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.models.wav2vec2_xlsr_300m.html b/main/generated/torchaudio.models.wav2vec2_xlsr_300m.html
index 52041deeb8d..70678d6eafc 100644
--- a/main/generated/torchaudio.models.wav2vec2_xlsr_300m.html
+++ b/main/generated/torchaudio.models.wav2vec2_xlsr_300m.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.wav2vec2_xlsr_300m &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.wav2vec2_xlsr_300m &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.models.wavlm_base.html b/main/generated/torchaudio.models.wavlm_base.html
index c3f5d6e8ca3..94ecdcd5aa8 100644
--- a/main/generated/torchaudio.models.wavlm_base.html
+++ b/main/generated/torchaudio.models.wavlm_base.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.wavlm_base &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.wavlm_base &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.models.wavlm_large.html b/main/generated/torchaudio.models.wavlm_large.html
index dc03e6f9b89..b447c7b1441 100644
--- a/main/generated/torchaudio.models.wavlm_large.html
+++ b/main/generated/torchaudio.models.wavlm_large.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.wavlm_large &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.wavlm_large &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.models.wavlm_model.html b/main/generated/torchaudio.models.wavlm_model.html
index 71bdcd5c85a..58453cc19b3 100644
--- a/main/generated/torchaudio.models.wavlm_model.html
+++ b/main/generated/torchaudio.models.wavlm_model.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.wavlm_model &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.models.wavlm_model &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.CONVTASNET_BASE_LIBRI2MIX.html b/main/generated/torchaudio.pipelines.CONVTASNET_BASE_LIBRI2MIX.html
index b000f348b01..4078283c9c3 100644
--- a/main/generated/torchaudio.pipelines.CONVTASNET_BASE_LIBRI2MIX.html
+++ b/main/generated/torchaudio.pipelines.CONVTASNET_BASE_LIBRI2MIX.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>CONVTASNET_BASE_LIBRI2MIX &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>CONVTASNET_BASE_LIBRI2MIX &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.EMFORMER_RNNT_BASE_LIBRISPEECH.html b/main/generated/torchaudio.pipelines.EMFORMER_RNNT_BASE_LIBRISPEECH.html
index 7a13bf70c8d..18f27ff010f 100644
--- a/main/generated/torchaudio.pipelines.EMFORMER_RNNT_BASE_LIBRISPEECH.html
+++ b/main/generated/torchaudio.pipelines.EMFORMER_RNNT_BASE_LIBRISPEECH.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>EMFORMER_RNNT_BASE_LIBRISPEECH &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>EMFORMER_RNNT_BASE_LIBRISPEECH &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB.html b/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB.html
index 47a1e79ca68..6ab45645530 100644
--- a/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB.html
+++ b/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HDEMUCS_HIGH_MUSDB &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>HDEMUCS_HIGH_MUSDB &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB_PLUS.html b/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB_PLUS.html
index 86b9a8249a6..d4aca6d4a0f 100644
--- a/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB_PLUS.html
+++ b/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB_PLUS.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HDEMUCS_HIGH_MUSDB_PLUS &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>HDEMUCS_HIGH_MUSDB_PLUS &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.HUBERT_ASR_LARGE.html b/main/generated/torchaudio.pipelines.HUBERT_ASR_LARGE.html
index e0c9339bc67..47a34a6c4d4 100644
--- a/main/generated/torchaudio.pipelines.HUBERT_ASR_LARGE.html
+++ b/main/generated/torchaudio.pipelines.HUBERT_ASR_LARGE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HUBERT_ASR_LARGE &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>HUBERT_ASR_LARGE &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.HUBERT_ASR_XLARGE.html b/main/generated/torchaudio.pipelines.HUBERT_ASR_XLARGE.html
index 147e97b15fb..d6d9687e634 100644
--- a/main/generated/torchaudio.pipelines.HUBERT_ASR_XLARGE.html
+++ b/main/generated/torchaudio.pipelines.HUBERT_ASR_XLARGE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HUBERT_ASR_XLARGE &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>HUBERT_ASR_XLARGE &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.HUBERT_BASE.html b/main/generated/torchaudio.pipelines.HUBERT_BASE.html
index 4c1eaf80426..60fc1c26e76 100644
--- a/main/generated/torchaudio.pipelines.HUBERT_BASE.html
+++ b/main/generated/torchaudio.pipelines.HUBERT_BASE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HUBERT_BASE &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>HUBERT_BASE &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.HUBERT_LARGE.html b/main/generated/torchaudio.pipelines.HUBERT_LARGE.html
index 1f1d515badc..9f5b2491b05 100644
--- a/main/generated/torchaudio.pipelines.HUBERT_LARGE.html
+++ b/main/generated/torchaudio.pipelines.HUBERT_LARGE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HUBERT_LARGE &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>HUBERT_LARGE &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.HUBERT_XLARGE.html b/main/generated/torchaudio.pipelines.HUBERT_XLARGE.html
index f1c87dfd9b7..2fac28652ad 100644
--- a/main/generated/torchaudio.pipelines.HUBERT_XLARGE.html
+++ b/main/generated/torchaudio.pipelines.HUBERT_XLARGE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HUBERT_XLARGE &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>HUBERT_XLARGE &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.MMS_FA.html b/main/generated/torchaudio.pipelines.MMS_FA.html
index fddac8b5991..3592a17264e 100644
--- a/main/generated/torchaudio.pipelines.MMS_FA.html
+++ b/main/generated/torchaudio.pipelines.MMS_FA.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>MMS_FA &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>MMS_FA &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.RNNTBundle.FeatureExtractor.html b/main/generated/torchaudio.pipelines.RNNTBundle.FeatureExtractor.html
index ab5e0e5dae3..9d297374e10 100644
--- a/main/generated/torchaudio.pipelines.RNNTBundle.FeatureExtractor.html
+++ b/main/generated/torchaudio.pipelines.RNNTBundle.FeatureExtractor.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>RNNTBundle.FeatureExtractor &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>RNNTBundle.FeatureExtractor &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -451,11 +451,11 @@ <h3>__call__<a class="headerlink" href="#call" title="Permalink to this heading"
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.pipelines.RNNTBundle.FeatureExtractor.__call__">
-<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">FeatureExtractor.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.pipelines.RNNTBundle.FeatureExtractor.__call__" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">FeatureExtractor.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.pipelines.RNNTBundle.FeatureExtractor.__call__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Generates features and length output from the given input tensor.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – input tensor.</p>
+<dd class="field-odd"><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – input tensor.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><dl class="simple">
@@ -467,7 +467,7 @@ <h3>__call__<a class="headerlink" href="#call" title="Permalink to this heading"
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>)</p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.pipelines.RNNTBundle.TokenProcessor.html b/main/generated/torchaudio.pipelines.RNNTBundle.TokenProcessor.html
index 8f263f8b643..2338d7cfda5 100644
--- a/main/generated/torchaudio.pipelines.RNNTBundle.TokenProcessor.html
+++ b/main/generated/torchaudio.pipelines.RNNTBundle.TokenProcessor.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>RNNTBundle.TokenProcessor &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>RNNTBundle.TokenProcessor &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.RNNTBundle.html b/main/generated/torchaudio.pipelines.RNNTBundle.html
index b274475d07d..abd27413e2c 100644
--- a/main/generated/torchaudio.pipelines.RNNTBundle.html
+++ b/main/generated/torchaudio.pipelines.RNNTBundle.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>RNNTBundle &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>RNNTBundle &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.SQUIM_OBJECTIVE.html b/main/generated/torchaudio.pipelines.SQUIM_OBJECTIVE.html
index 6ce26c665a8..ae1f5591070 100644
--- a/main/generated/torchaudio.pipelines.SQUIM_OBJECTIVE.html
+++ b/main/generated/torchaudio.pipelines.SQUIM_OBJECTIVE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SQUIM_OBJECTIVE &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>SQUIM_OBJECTIVE &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.SQUIM_SUBJECTIVE.html b/main/generated/torchaudio.pipelines.SQUIM_SUBJECTIVE.html
index df14aaad9a4..005c18b21d5 100644
--- a/main/generated/torchaudio.pipelines.SQUIM_SUBJECTIVE.html
+++ b/main/generated/torchaudio.pipelines.SQUIM_SUBJECTIVE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SQUIM_SUBJECTIVE &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>SQUIM_SUBJECTIVE &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.SourceSeparationBundle.html b/main/generated/torchaudio.pipelines.SourceSeparationBundle.html
index 2eb8416a898..42d0d1f03de 100644
--- a/main/generated/torchaudio.pipelines.SourceSeparationBundle.html
+++ b/main/generated/torchaudio.pipelines.SourceSeparationBundle.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SourceSeparationBundle &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>SourceSeparationBundle &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -501,7 +501,7 @@ <h3>get_model<a class="headerlink" href="#get-model" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.pipelines.SourceSeparationBundle.get_model">
-<span class="sig-prename descclassname"><span class="pre">SourceSeparationBundle.</span></span><span class="sig-name descname"><span class="pre">get_model</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><span class="pre">Module</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/pipelines/_source_separation_pipeline.html#SourceSeparationBundle.get_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.pipelines.SourceSeparationBundle.get_model" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">SourceSeparationBundle.</span></span><span class="sig-name descname"><span class="pre">get_model</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><span class="pre">Module</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/pipelines/_source_separation_pipeline.html#SourceSeparationBundle.get_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.pipelines.SourceSeparationBundle.get_model" title="Permalink to this definition">¶</a></dt>
 <dd><p>Construct the model and load the pretrained weight.</p>
 </dd></dl>
 
diff --git a/main/generated/torchaudio.pipelines.SquimObjectiveBundle.html b/main/generated/torchaudio.pipelines.SquimObjectiveBundle.html
index 9838db108dd..204965ef58b 100644
--- a/main/generated/torchaudio.pipelines.SquimObjectiveBundle.html
+++ b/main/generated/torchaudio.pipelines.SquimObjectiveBundle.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SquimObjectiveBundle &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>SquimObjectiveBundle &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -502,10 +502,10 @@ <h3>get_model<a class="headerlink" href="#get-model" title="Permalink to this he
 <span class="sig-prename descclassname"><span class="pre">SquimObjectiveBundle.</span></span><span class="sig-name descname"><span class="pre">get_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dl_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="torchaudio.models.SquimObjective.html#torchaudio.models.SquimObjective" title="torchaudio.models.squim.objective.SquimObjective"><span class="pre">SquimObjective</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/pipelines/_squim_pipeline.html#SquimObjectiveBundle.get_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.pipelines.SquimObjectiveBundle.get_model" title="Permalink to this definition">¶</a></dt>
 <dd><p>Construct the SquimObjective model, and load the pretrained weight.</p>
 <p>The weight file is downloaded from the internet and cached with
-<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a></p>
+<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a></p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
+<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Variation of <a class="reference internal" href="torchaudio.models.SquimObjective.html#torchaudio.models.SquimObjective" title="torchaudio.models.SquimObjective"><code class="xref py py-class docutils literal notranslate"><span class="pre">SquimObjective</span></code></a>.</p>
diff --git a/main/generated/torchaudio.pipelines.SquimSubjectiveBundle.html b/main/generated/torchaudio.pipelines.SquimSubjectiveBundle.html
index 9cdf46e920d..0e835c3da31 100644
--- a/main/generated/torchaudio.pipelines.SquimSubjectiveBundle.html
+++ b/main/generated/torchaudio.pipelines.SquimSubjectiveBundle.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SquimSubjectiveBundle &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>SquimSubjectiveBundle &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -504,10 +504,10 @@ <h3>get_model<a class="headerlink" href="#get-model" title="Permalink to this he
 <span class="sig-prename descclassname"><span class="pre">SquimSubjectiveBundle.</span></span><span class="sig-name descname"><span class="pre">get_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dl_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="torchaudio.models.SquimSubjective.html#torchaudio.models.SquimSubjective" title="torchaudio.models.squim.subjective.SquimSubjective"><span class="pre">SquimSubjective</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/pipelines/_squim_pipeline.html#SquimSubjectiveBundle.get_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.pipelines.SquimSubjectiveBundle.get_model" title="Permalink to this definition">¶</a></dt>
 <dd><p>Construct the SquimSubjective model, and load the pretrained weight.</p>
 <p>The weight file is downloaded from the internet and cached with
-<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a></p>
+<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a></p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
+<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Variation of <a class="reference internal" href="torchaudio.models.SquimObjective.html#torchaudio.models.SquimObjective" title="torchaudio.models.SquimObjective"><code class="xref py py-class docutils literal notranslate"><span class="pre">SquimObjective</span></code></a>.</p>
diff --git a/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH.html b/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH.html
index d86db6322f4..e65b2f69741 100644
--- a/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH.html
+++ b/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH.html b/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH.html
index 165a15eda18..56b183cc210 100644
--- a/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH.html
+++ b/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_CHAR_LJSPEECH.html b/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_CHAR_LJSPEECH.html
index a5b8e7e485f..087c060fc5c 100644
--- a/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_CHAR_LJSPEECH.html
+++ b/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_CHAR_LJSPEECH.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>TACOTRON2_WAVERNN_CHAR_LJSPEECH &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>TACOTRON2_WAVERNN_CHAR_LJSPEECH &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_PHONE_LJSPEECH.html b/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_PHONE_LJSPEECH.html
index 9e038e4beb6..f8c1ae08c26 100644
--- a/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_PHONE_LJSPEECH.html
+++ b/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_PHONE_LJSPEECH.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>TACOTRON2_WAVERNN_PHONE_LJSPEECH &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>TACOTRON2_WAVERNN_PHONE_LJSPEECH &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.html b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.html
index 8bce776784d..dd70eee3ca0 100644
--- a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.html
+++ b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Tacotron2TTSBundle.TextProcessor &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Tacotron2TTSBundle.TextProcessor &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -471,7 +471,7 @@ <h3>__call__<a class="headerlink" href="#call" title="Permalink to this heading"
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.__call__">
-<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">TextProcessor.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">texts</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.__call__" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">TextProcessor.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">texts</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.__call__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Encode the given (batch of) texts into numerical tensors</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.html b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.html
index ad66f74e07f..033af4d5f8a 100644
--- a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.html
+++ b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Tacotron2TTSBundle.Vocoder &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Tacotron2TTSBundle.Vocoder &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -471,7 +471,7 @@ <h3>__call__<a class="headerlink" href="#call" title="Permalink to this heading"
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.__call__">
-<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">Vocoder.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgrams</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.__call__" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">Vocoder.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgrams</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.__call__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Generate waveform from the given input, such as spectrogram</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.html b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.html
index 48b53a3f0eb..bb115f50a94 100644
--- a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.html
+++ b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Tacotron2TTSBundle &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Tacotron2TTSBundle &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -532,7 +532,7 @@ <h3>get_tacotron2<a class="headerlink" href="#get-tacotron2" title="Permalink to
 <dd><p>Create a Tacotron2 model with pre-trained weight.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
+<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>The resulting model.</p>
@@ -556,10 +556,10 @@ <h3>get_text_processor<a class="headerlink" href="#get-text-processor" title="Pe
 For phoneme-based pipeline, this processor converts the input text (grapheme) to
 phonemes.</p>
 <p>If a pre-trained weight file is necessary,
-<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.download_url_to_file" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.download_url_to_file()</span></code></a> is used to downloaded it.</p>
+<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.download_url_to_file" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.download_url_to_file()</span></code></a> is used to downloaded it.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em><em>,</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.download_url_to_file" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.download_url_to_file()</span></code></a>.</p>
+<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em><em>,</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.download_url_to_file" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.download_url_to_file()</span></code></a>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>A callable which takes a string or a list of strings as input and
@@ -633,10 +633,10 @@ <h3>get_vocoder<a class="headerlink" href="#get-vocoder" title="Permalink to thi
 <em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">Tacotron2TTSBundle.</span></span><span class="sig-name descname"><span class="pre">get_vocoder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dl_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.html#torchaudio.pipelines.Tacotron2TTSBundle.Vocoder" title="torchaudio.pipelines._tts.interface.Tacotron2TTSBundle.Vocoder"><span class="pre">Vocoder</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/pipelines/_tts/interface.html#Tacotron2TTSBundle.get_vocoder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.pipelines.Tacotron2TTSBundle.get_vocoder" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create a vocoder module, based off of either WaveRNN or GriffinLim.</p>
 <p>If a pre-trained weight file is necessary,
-<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a> is used to downloaded it.</p>
+<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a> is used to downloaded it.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
+<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>A vocoder module, which takes spectrogram Tensor and an optional
diff --git a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_DE.html b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_DE.html
index 22c097078fb..5829c94deba 100644
--- a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_DE.html
+++ b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_DE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VOXPOPULI_ASR_BASE_10K_DE &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>VOXPOPULI_ASR_BASE_10K_DE &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_EN.html b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_EN.html
index 39e226b0814..693c6a0bd95 100644
--- a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_EN.html
+++ b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_EN.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VOXPOPULI_ASR_BASE_10K_EN &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>VOXPOPULI_ASR_BASE_10K_EN &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_ES.html b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_ES.html
index ff6055ed0a0..895122736ad 100644
--- a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_ES.html
+++ b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_ES.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VOXPOPULI_ASR_BASE_10K_ES &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>VOXPOPULI_ASR_BASE_10K_ES &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_FR.html b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_FR.html
index a24b0caaa64..107dc126ca2 100644
--- a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_FR.html
+++ b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_FR.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VOXPOPULI_ASR_BASE_10K_FR &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>VOXPOPULI_ASR_BASE_10K_FR &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_IT.html b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_IT.html
index 6f2fedd5183..4932d912756 100644
--- a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_IT.html
+++ b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_IT.html
@@ -10,7 +10,7 @@
 
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-  <title>WAV2VEC2_ASR_BASE_100H &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_10M.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_10M.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_ASR_BASE_10M &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_960H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_960H.html
index dc4b35e9f2a..684a178d9af 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_ASR_BASE_960H &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_100H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_100H.html
index f64d1f27d8d..00199b9978a 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_ASR_LARGE_100H &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_10M.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_10M.html
index 5fb125a6534..cd9af997405 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_ASR_LARGE_10M &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_960H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_960H.html
index 550587f582a..f5d6fe46fb4 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_ASR_LARGE_960H &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_100H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_100H.html
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@@ -10,7 +10,7 @@
 
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-  <title>WAV2VEC2_ASR_LARGE_LV60K_100H &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_10M.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_10M.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_ASR_LARGE_LV60K_10M &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_960H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_960H.html
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@@ -10,7 +10,7 @@
 
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-  <title>WAV2VEC2_ASR_LARGE_LV60K_960H &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_BASE.html b/main/generated/torchaudio.pipelines.WAV2VEC2_BASE.html
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-  <title>WAV2VEC2_BASE &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE.html b/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE.html
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diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE_LV60K.html b/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE_LV60K.html
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   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_LARGE_LV60K &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR53.html b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR53.html
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-  <title>WAV2VEC2_XLSR53 &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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@@ -224,7 +224,7 @@
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diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_1B.html b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_1B.html
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diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_2B.html b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_2B.html
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diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_300M.html b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_300M.html
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   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_XLSR_300M &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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diff --git a/main/generated/torchaudio.pipelines.WAVLM_BASE.html b/main/generated/torchaudio.pipelines.WAVLM_BASE.html
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   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAVLM_BASE &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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diff --git a/main/generated/torchaudio.pipelines.WAVLM_BASE_PLUS.html b/main/generated/torchaudio.pipelines.WAVLM_BASE_PLUS.html
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diff --git a/main/generated/torchaudio.pipelines.WAVLM_LARGE.html b/main/generated/torchaudio.pipelines.WAVLM_LARGE.html
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-  <title>WAVLM_LARGE &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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diff --git a/main/generated/torchaudio.pipelines.Wav2Vec2ASRBundle.html b/main/generated/torchaudio.pipelines.Wav2Vec2ASRBundle.html
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   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Wav2Vec2ASRBundle &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Wav2Vec2ASRBundle &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -548,13 +548,13 @@ <h3>get_model<a class="headerlink" href="#get-model" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.pipelines.Wav2Vec2ASRBundle.get_model">
-<span class="sig-prename descclassname"><span class="pre">Wav2Vec2ASRBundle.</span></span><span class="sig-name descname"><span class="pre">get_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dl_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><span class="pre">Module</span></a></span></span><a class="headerlink" href="#torchaudio.pipelines.Wav2Vec2ASRBundle.get_model" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Wav2Vec2ASRBundle.</span></span><span class="sig-name descname"><span class="pre">get_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dl_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><span class="pre">Module</span></a></span></span><a class="headerlink" href="#torchaudio.pipelines.Wav2Vec2ASRBundle.get_model" title="Permalink to this definition">¶</a></dt>
 <dd><p>Construct the model and load the pretrained weight.</p>
 <p>The weight file is downloaded from the internet and cached with
-<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a></p>
+<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a></p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
+<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><p>Variation of <a class="reference internal" href="torchaudio.models.Wav2Vec2Model.html#torchaudio.models.Wav2Vec2Model" title="torchaudio.models.Wav2Vec2Model"><code class="xref py py-class docutils literal notranslate"><span class="pre">Wav2Vec2Model</span></code></a>.</p>
diff --git a/main/generated/torchaudio.pipelines.Wav2Vec2Bundle.html b/main/generated/torchaudio.pipelines.Wav2Vec2Bundle.html
index 06c2dbcc8a7..892be6c92f2 100644
--- a/main/generated/torchaudio.pipelines.Wav2Vec2Bundle.html
+++ b/main/generated/torchaudio.pipelines.Wav2Vec2Bundle.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Wav2Vec2Bundle &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Wav2Vec2Bundle &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -496,13 +496,13 @@ <h3>get_model<a class="headerlink" href="#get-model" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.pipelines.Wav2Vec2Bundle.get_model">
-<span class="sig-prename descclassname"><span class="pre">Wav2Vec2Bundle.</span></span><span class="sig-name descname"><span class="pre">get_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dl_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><span class="pre">Module</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/pipelines/_wav2vec2/impl.html#Wav2Vec2Bundle.get_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.pipelines.Wav2Vec2Bundle.get_model" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Wav2Vec2Bundle.</span></span><span class="sig-name descname"><span class="pre">get_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dl_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><span class="pre">Module</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/pipelines/_wav2vec2/impl.html#Wav2Vec2Bundle.get_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.pipelines.Wav2Vec2Bundle.get_model" title="Permalink to this definition">¶</a></dt>
 <dd><p>Construct the model and load the pretrained weight.</p>
 <p>The weight file is downloaded from the internet and cached with
-<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a></p>
+<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a></p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
+<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><p>Variation of <a class="reference internal" href="torchaudio.models.Wav2Vec2Model.html#torchaudio.models.Wav2Vec2Model" title="torchaudio.models.Wav2Vec2Model"><code class="xref py py-class docutils literal notranslate"><span class="pre">Wav2Vec2Model</span></code></a>.</p>
diff --git a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Aligner.html b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Aligner.html
index 1caaebd8115..35f2c588641 100644
--- a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Aligner.html
+++ b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Aligner.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Wav2Vec2FABundle.Aligner &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Wav2Vec2FABundle.Aligner &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -451,7 +451,7 @@ <h3>__call__<a class="headerlink" href="#call" title="Permalink to this heading"
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.pipelines.Wav2Vec2FABundle.Aligner.__call__">
-<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">Aligner.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emission</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="torchaudio.functional.TokenSpan.html#torchaudio.functional.TokenSpan" title="torchaudio.functional._alignment.TokenSpan"><span class="pre">TokenSpan</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.pipelines.Wav2Vec2FABundle.Aligner.__call__" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">Aligner.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emission</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="torchaudio.functional.TokenSpan.html#torchaudio.functional.TokenSpan" title="torchaudio.functional._alignment.TokenSpan"><span class="pre">TokenSpan</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.pipelines.Wav2Vec2FABundle.Aligner.__call__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Generate list of time-stamped token sequences</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Tokenizer.html b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Tokenizer.html
index 2a7dc8bcc35..5c43f1a3e91 100644
--- a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Tokenizer.html
+++ b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Tokenizer.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Wav2Vec2FABundle.Tokenizer &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Wav2Vec2FABundle.Tokenizer &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.html b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.html
index cdb6642f681..502072a3f66 100644
--- a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.html
+++ b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Wav2Vec2FABundle &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Wav2Vec2FABundle &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -600,16 +600,16 @@ <h3>get_model<a class="headerlink" href="#get-model" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.pipelines.Wav2Vec2FABundle.get_model">
-<span class="sig-prename descclassname"><span class="pre">Wav2Vec2FABundle.</span></span><span class="sig-name descname"><span class="pre">get_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">with_star</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dl_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><span class="pre">Module</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/pipelines/_wav2vec2/impl.html#Wav2Vec2FABundle.get_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.pipelines.Wav2Vec2FABundle.get_model" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Wav2Vec2FABundle.</span></span><span class="sig-name descname"><span class="pre">get_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">with_star</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dl_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><span class="pre">Module</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/pipelines/_wav2vec2/impl.html#Wav2Vec2FABundle.get_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.pipelines.Wav2Vec2FABundle.get_model" title="Permalink to this definition">¶</a></dt>
 <dd><p>Construct the model and load the pretrained weight.</p>
 <p>The weight file is downloaded from the internet and cached with
-<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a></p>
+<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a></p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>with_star</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>optional</em>) – If enabled, the last dimension of output layer is
 extended by one, which corresponds to <cite>star</cite> token.</p></li>
-<li><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p></li>
+<li><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
@@ -617,7 +617,7 @@ <h3>get_model<a class="headerlink" href="#get-model" title="Permalink to this he
 <div class="admonition note">
 <p class="admonition-title">Note</p>
 <p>The model created with this method returns probability in log-domain,
-(i.e. <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.functional.log_softmax.html#torch.nn.functional.log_softmax" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.nn.functional.log_softmax()</span></code></a> is applied), whereas
+(i.e. <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.functional.log_softmax.html#torch.nn.functional.log_softmax" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.nn.functional.log_softmax()</span></code></a> is applied), whereas
 the other Wav2Vec2 models returns logit.</p>
 </div>
 </p>
diff --git a/main/generated/torchaudio.prototype.datasets.Musan.html b/main/generated/torchaudio.prototype.datasets.Musan.html
index 22435e6ade3..d12fad3aa11 100644
--- a/main/generated/torchaudio.prototype.datasets.Musan.html
+++ b/main/generated/torchaudio.prototype.datasets.Musan.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Musan &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Musan &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -459,7 +459,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.datasets.Musan.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">Musan.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/datasets/musan.html#Musan.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.datasets.Musan.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Musan.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/datasets/musan.html#Musan.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.datasets.Musan.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Return the n-th sample in the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -477,7 +477,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>, <a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)">int</a>, <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)">str</a>)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>, <a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)">int</a>, <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)">str</a>)</p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.prototype.functional.adsr_envelope.html b/main/generated/torchaudio.prototype.functional.adsr_envelope.html
index bf42a9aeb2b..e7e9ded1b85 100644
--- a/main/generated/torchaudio.prototype.functional.adsr_envelope.html
+++ b/main/generated/torchaudio.prototype.functional.adsr_envelope.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.functional.adsr_envelope &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.functional.adsr_envelope &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -442,7 +442,7 @@
 <h1>torchaudio.prototype.functional.adsr_envelope<a class="headerlink" href="#torchaudio-prototype-functional-adsr-envelope" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.prototype.functional.adsr_envelope">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">adsr_envelope</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attack</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decay</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sustain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">release</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_decay</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.dtype" title="(in PyTorch v2.2)"><span class="pre">dtype</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="(in PyTorch v2.2)"><span class="pre">device</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_dsp.html#adsr_envelope"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.adsr_envelope" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">adsr_envelope</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attack</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decay</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sustain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">release</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_decay</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.dtype" title="(in PyTorch v2.3)"><span class="pre">dtype</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="(in PyTorch v2.3)"><span class="pre">device</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_dsp.html#adsr_envelope"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.adsr_envelope" title="Permalink to this definition">¶</a></dt>
 <dd><p>Generate ADSR Envelope</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <dl class="field-list simple">
@@ -467,10 +467,10 @@ <h1>torchaudio.prototype.functional.adsr_envelope<a class="headerlink" href="#to
 <li><p><strong>n_decay</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em>, </em><em>optional</em>) – The degree of polynomial decay. Default: <code class="docutils literal notranslate"><span class="pre">2</span></code>.</p></li>
 <li><p><strong>dtype</strong> (<em>torch.dpython:type</em><em>, </em><em>optional</em>) – the desired data type of returned tensor.
 Default: if <code class="docutils literal notranslate"><span class="pre">None</span></code>, uses a global default
-(see <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.set_default_tensor_type.html#torch.set_default_tensor_type" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.set_default_tensor_type()</span></code></a>).</p></li>
-<li><p><strong>device</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="(in PyTorch v2.2)"><em>torch.device</em></a><em>, </em><em>optional</em>) – the desired device of returned tensor.
+(see <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.set_default_tensor_type.html#torch.set_default_tensor_type" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.set_default_tensor_type()</span></code></a>).</p></li>
+<li><p><strong>device</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="(in PyTorch v2.3)"><em>torch.device</em></a><em>, </em><em>optional</em>) – the desired device of returned tensor.
 Default: if <code class="docutils literal notranslate"><span class="pre">None</span></code>, uses the current device for the default tensor type
-(see <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.set_default_tensor_type.html#torch.set_default_tensor_type" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.set_default_tensor_type()</span></code></a>).
+(see <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.set_default_tensor_type.html#torch.set_default_tensor_type" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.set_default_tensor_type()</span></code></a>).
 device will be the CPU for CPU tensor types and the current CUDA
 device for CUDA tensor types.</p></li>
 </ul>
diff --git a/main/generated/torchaudio.prototype.functional.barkscale_fbanks.html b/main/generated/torchaudio.prototype.functional.barkscale_fbanks.html
index 17c8a94ed6d..2a25e74e430 100644
--- a/main/generated/torchaudio.prototype.functional.barkscale_fbanks.html
+++ b/main/generated/torchaudio.prototype.functional.barkscale_fbanks.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.functional.barkscale_fbanks &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.functional.barkscale_fbanks &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -442,7 +442,7 @@
 <h1>torchaudio.prototype.functional.barkscale_fbanks<a class="headerlink" href="#torchaudio-prototype-functional-barkscale-fbanks" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.prototype.functional.barkscale_fbanks">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">barkscale_fbanks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_freqs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_min</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_max</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_barks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">bark_scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'traunmuller'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/functional.html#barkscale_fbanks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.barkscale_fbanks" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">barkscale_fbanks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_freqs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_min</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_max</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_barks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">bark_scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'traunmuller'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/functional.html#barkscale_fbanks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.barkscale_fbanks" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create a frequency bin conversion matrix.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU" class="shield-badge" src="../_images/e293eae5f4516a625dc07ed0eed1ff8b2f18eef5a9da1f8561cc97c78ab0600c.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
@@ -466,7 +466,7 @@ <h1>torchaudio.prototype.functional.barkscale_fbanks<a class="headerlink" href="
 <code class="docutils literal notranslate"><span class="pre">A</span> <span class="pre">*</span> <span class="pre">barkscale_fbanks(A.size(-1),</span> <span class="pre">...)</span></code>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.prototype.functional.chroma_filterbank.html b/main/generated/torchaudio.prototype.functional.chroma_filterbank.html
index f4fff2b49d2..5268d9079ad 100644
--- a/main/generated/torchaudio.prototype.functional.chroma_filterbank.html
+++ b/main/generated/torchaudio.prototype.functional.chroma_filterbank.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.functional.chroma_filterbank &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.functional.chroma_filterbank &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -462,7 +462,7 @@ <h1>torchaudio.prototype.functional.chroma_filterbank<a class="headerlink" href=
 <dd class="field-even"><p>Chroma filter bank, with shape <cite>(n_freqs, n_chroma)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.prototype.functional.extend_pitch.html b/main/generated/torchaudio.prototype.functional.extend_pitch.html
index 27b17640147..6d08d4cfb8b 100644
--- a/main/generated/torchaudio.prototype.functional.extend_pitch.html
+++ b/main/generated/torchaudio.prototype.functional.extend_pitch.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.functional.extend_pitch &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.functional.extend_pitch &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -442,7 +442,7 @@
 <h1>torchaudio.prototype.functional.extend_pitch<a class="headerlink" href="#torchaudio-prototype-functional-extend-pitch" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.prototype.functional.extend_pitch">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">extend_pitch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pattern</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_dsp.html#extend_pitch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.extend_pitch" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">extend_pitch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pattern</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_dsp.html#extend_pitch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.extend_pitch" title="Permalink to this definition">¶</a></dt>
 <dd><p>Extend the given time series values with multipliers of them.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -451,8 +451,8 @@ <h1>torchaudio.prototype.functional.extend_pitch<a class="headerlink" href="#tor
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>base</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Base time series, like fundamental frequencies (Hz). Shape: <cite>(…, time, 1)</cite>.</p></li>
-<li><p><strong>pattern</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em>, </em><em>list of python:floats</em><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – <p>If <code class="docutils literal notranslate"><span class="pre">int</span></code>, the number of pitch series after the operation.
+<li><p><strong>base</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Base time series, like fundamental frequencies (Hz). Shape: <cite>(…, time, 1)</cite>.</p></li>
+<li><p><strong>pattern</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em>, </em><em>list of python:floats</em><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – <p>If <code class="docutils literal notranslate"><span class="pre">int</span></code>, the number of pitch series after the operation.
 <cite>pattern - 1</cite> tones are added, so that the resulting Tensor contains
 up to <cite>pattern</cite>-th overtones of the given series.</p>
 <p>If list of float or <code class="docutils literal notranslate"><span class="pre">torch.Tensor</span></code>, it must be one dimensional,
diff --git a/main/generated/torchaudio.prototype.functional.filter_waveform.html b/main/generated/torchaudio.prototype.functional.filter_waveform.html
index 51a857ac303..7ff0854559c 100644
--- a/main/generated/torchaudio.prototype.functional.filter_waveform.html
+++ b/main/generated/torchaudio.prototype.functional.filter_waveform.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.functional.filter_waveform &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.functional.filter_waveform &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -442,7 +442,7 @@
 <h1>torchaudio.prototype.functional.filter_waveform<a class="headerlink" href="#torchaudio-prototype-functional-filter-waveform" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.prototype.functional.filter_waveform">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">filter_waveform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">kernels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">delay_compensation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_dsp.html#filter_waveform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.filter_waveform" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">filter_waveform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">kernels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">delay_compensation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_dsp.html#filter_waveform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.filter_waveform" title="Permalink to this definition">¶</a></dt>
 <dd><p>Applies filters along time axis of the given waveform.</p>
 <p>This function applies the given filters along time axis in the following manner:</p>
 <ol class="arabic simple">
diff --git a/main/generated/torchaudio.prototype.functional.frequency_impulse_response.html b/main/generated/torchaudio.prototype.functional.frequency_impulse_response.html
index af23239fff2..1b034e2e0db 100644
--- a/main/generated/torchaudio.prototype.functional.frequency_impulse_response.html
+++ b/main/generated/torchaudio.prototype.functional.frequency_impulse_response.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.functional.frequency_impulse_response &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.functional.frequency_impulse_response &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.prototype.functional.oscillator_bank.html b/main/generated/torchaudio.prototype.functional.oscillator_bank.html
index 4ec389a3104..d3b985a092d 100644
--- a/main/generated/torchaudio.prototype.functional.oscillator_bank.html
+++ b/main/generated/torchaudio.prototype.functional.oscillator_bank.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.functional.oscillator_bank &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.functional.oscillator_bank &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -442,7 +442,7 @@
 <h1>torchaudio.prototype.functional.oscillator_bank<a class="headerlink" href="#torchaudio-prototype-functional-oscillator-bank" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.prototype.functional.oscillator_bank">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">oscillator_bank</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frequencies</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">amplitudes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sum'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.dtype" title="(in PyTorch v2.2)"><span class="pre">dtype</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">torch.float64</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_dsp.html#oscillator_bank"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.oscillator_bank" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">oscillator_bank</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frequencies</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">amplitudes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sum'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.dtype" title="(in PyTorch v2.3)"><span class="pre">dtype</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">torch.float64</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_dsp.html#oscillator_bank"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.oscillator_bank" title="Permalink to this definition">¶</a></dt>
 <dd><p>Synthesize waveform from the given instantaneous frequencies and amplitudes.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.prototype.functional.ray_tracing.html b/main/generated/torchaudio.prototype.functional.ray_tracing.html
index 3d710259396..1e017596070 100644
--- a/main/generated/torchaudio.prototype.functional.ray_tracing.html
+++ b/main/generated/torchaudio.prototype.functional.ray_tracing.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.functional.ray_tracing &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.functional.ray_tracing &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -442,7 +442,7 @@
 <h1>torchaudio.prototype.functional.ray_tracing<a class="headerlink" href="#torchaudio-prototype-functional-ray-tracing" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.prototype.functional.ray_tracing">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">ray_tracing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">room</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mic_array</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_rays</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">absorption</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scattering</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mic_radius</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sound_speed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">343.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energy_thres</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_thres</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hist_bin_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.004</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_rir.html#ray_tracing"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.ray_tracing" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">ray_tracing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">room</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mic_array</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_rays</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">absorption</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scattering</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mic_radius</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sound_speed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">343.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energy_thres</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_thres</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hist_bin_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.004</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_rir.html#ray_tracing"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.ray_tracing" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute energy histogram via ray tracing.</p>
 <p>The implementation is based on <em>pyroomacoustics</em> <span id="id1">[<a class="reference internal" href="../references.html#id62" title="Robin Scheibler, Eric Bezzam, and Ivan Dokmanić. Pyroomacoustics: a python package for audio room simulation and array processing algorithms. In 2018 IEEE international conference on acoustics, speech and signal processing (ICASSP), 351–355. IEEE, 2018.">Scheibler <em>et al.</em>, 2018</a>]</span>.</p>
 <p><code class="docutils literal notranslate"><span class="pre">num_rays</span></code> rays are casted uniformly in all directions from the source;
@@ -456,11 +456,11 @@ <h1>torchaudio.prototype.functional.ray_tracing<a class="headerlink" href="#torc
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>room</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Room coordinates. The shape of <cite>room</cite> must be <cite>(3,)</cite> which represents
+<li><p><strong>room</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Room coordinates. The shape of <cite>room</cite> must be <cite>(3,)</cite> which represents
 three dimensions of the room.</p></li>
-<li><p><strong>source</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Sound source coordinates. Tensor with dimensions <cite>(3,)</cite>.</p></li>
-<li><p><strong>mic_array</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Microphone coordinates. Tensor with dimensions <cite>(channel, 3)</cite>.</p></li>
-<li><p><strong>absorption</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – The absorption coefficients of wall materials.
+<li><p><strong>source</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Sound source coordinates. Tensor with dimensions <cite>(3,)</cite>.</p></li>
+<li><p><strong>mic_array</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Microphone coordinates. Tensor with dimensions <cite>(channel, 3)</cite>.</p></li>
+<li><p><strong>absorption</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – The absorption coefficients of wall materials.
 (Default: <code class="docutils literal notranslate"><span class="pre">0.0</span></code>).
 If the type is <code class="docutils literal notranslate"><span class="pre">float</span></code>, the absorption coefficient is identical to all walls and
 all frequencies.
@@ -469,7 +469,7 @@ <h1>torchaudio.prototype.functional.ray_tracing<a class="headerlink" href="#torc
 <code class="docutils literal notranslate"><span class="pre">&quot;ceiling&quot;</span></code>, respectively.
 If <code class="docutils literal notranslate"><span class="pre">absorption</span></code> is a 2D Tensor, the shape must be  <cite>(num_bands, 6)</cite>.
 <code class="docutils literal notranslate"><span class="pre">num_bands</span></code> is the number of frequency bands (usually 7).</p></li>
-<li><p><strong>scattering</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – The scattering coefficients of wall materials. (Default: <code class="docutils literal notranslate"><span class="pre">0.0</span></code>)
+<li><p><strong>scattering</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – The scattering coefficients of wall materials. (Default: <code class="docutils literal notranslate"><span class="pre">0.0</span></code>)
 The shape and type of this parameter is the same as for <code class="docutils literal notranslate"><span class="pre">absorption</span></code>.</p></li>
 <li><p><strong>mic_radius</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>optional</em>) – The radius of the microphone in meters. (Default: 0.5)</p></li>
 <li><p><strong>sound_speed</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>optional</em>) – The speed of sound in meters per second. (Default: <code class="docutils literal notranslate"><span class="pre">343.0</span></code>)</p></li>
@@ -490,7 +490,7 @@ <h1>torchaudio.prototype.functional.ray_tracing<a class="headerlink" href="#torc
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>)</p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.prototype.functional.simulate_rir_ism.html b/main/generated/torchaudio.prototype.functional.simulate_rir_ism.html
index fa711c329bb..438f472f7f2 100644
--- a/main/generated/torchaudio.prototype.functional.simulate_rir_ism.html
+++ b/main/generated/torchaudio.prototype.functional.simulate_rir_ism.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.functional.simulate_rir_ism &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.functional.simulate_rir_ism &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -442,7 +442,7 @@
 <h1>torchaudio.prototype.functional.simulate_rir_ism<a class="headerlink" href="#torchaudio-prototype-functional-simulate-rir-ism" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.prototype.functional.simulate_rir_ism">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">simulate_rir_ism</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">room</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mic_array</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_order</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">absorption</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delay_filter_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">81</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center_frequency</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sound_speed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">343.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_rir.html#simulate_rir_ism"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.simulate_rir_ism" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">simulate_rir_ism</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">room</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mic_array</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_order</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">absorption</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delay_filter_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">81</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center_frequency</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sound_speed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">343.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_rir.html#simulate_rir_ism"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.simulate_rir_ism" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute Room Impulse Response (RIR) based on the <em>image source method</em> <span id="id1">[<a class="reference internal" href="../references.html#id63" title="Jont B Allen and David A Berkley. Image method for efficiently simulating small-room acoustics. The Journal of the Acoustical Society of America, 65(4):943–950, 1979.">Allen and Berkley, 1979</a>]</span>.
 The implementation is based on <em>pyroomacoustics</em> <span id="id2">[<a class="reference internal" href="../references.html#id62" title="Robin Scheibler, Eric Bezzam, and Ivan Dokmanić. Pyroomacoustics: a python package for audio room simulation and array processing algorithms. In 2018 IEEE international conference on acoustics, speech and signal processing (ICASSP), 351–355. IEEE, 2018.">Scheibler <em>et al.</em>, 2018</a>]</span>.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU" class="shield-badge" src="../_images/e293eae5f4516a625dc07ed0eed1ff8b2f18eef5a9da1f8561cc97c78ab0600c.svg" /></a>
@@ -450,12 +450,12 @@ <h1>torchaudio.prototype.functional.simulate_rir_ism<a class="headerlink" href="
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>room</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Room coordinates. The shape of <cite>room</cite> must be <cite>(3,)</cite> which represents
+<li><p><strong>room</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Room coordinates. The shape of <cite>room</cite> must be <cite>(3,)</cite> which represents
 three dimensions of the room.</p></li>
-<li><p><strong>source</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Sound source coordinates. Tensor with dimensions <cite>(3,)</cite>.</p></li>
-<li><p><strong>mic_array</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Microphone coordinates. Tensor with dimensions <cite>(channel, 3)</cite>.</p></li>
+<li><p><strong>source</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Sound source coordinates. Tensor with dimensions <cite>(3,)</cite>.</p></li>
+<li><p><strong>mic_array</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Microphone coordinates. Tensor with dimensions <cite>(channel, 3)</cite>.</p></li>
 <li><p><strong>max_order</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The maximum number of reflections of the source.</p></li>
-<li><p><strong>absorption</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – The <em>absorption</em> <span id="id3">[<a class="reference internal" href="../references.html#id64" title="Wikipedia contributors. Absorption (acoustics) — Wikipedia, the free encyclopedia. [Online]. URL: https://en.wikipedia.org/wiki/Absorption_(acoustics).">Wikipedia contributors, n.d.</a>]</span>
+<li><p><strong>absorption</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – The <em>absorption</em> <span id="id3">[<a class="reference internal" href="../references.html#id64" title="Wikipedia contributors. Absorption (acoustics) — Wikipedia, the free encyclopedia. [Online]. URL: https://en.wikipedia.org/wiki/Absorption_(acoustics).">Wikipedia contributors, n.d.</a>]</span>
 coefficients of wall materials for sound energy.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">float</span></code>, the absorption coefficient is identical for all walls and
 all frequencies.
@@ -472,7 +472,7 @@ <h1>torchaudio.prototype.functional.simulate_rir_ism<a class="headerlink" href="
 <p>where <code class="docutils literal notranslate"><span class="pre">max_d</span></code> is the maximum distance between image sources and microphones.</p>
 </p></li>
 <li><p><strong>delay_filter_length</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em>, </em><em>optional</em>) – The filter length for computing sinc function. (Default: <code class="docutils literal notranslate"><span class="pre">81</span></code>)</p></li>
-<li><p><strong>center_frequency</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – The center frequencies of octave bands for multi-band walls.
+<li><p><strong>center_frequency</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – The center frequencies of octave bands for multi-band walls.
 Only used when <code class="docutils literal notranslate"><span class="pre">absorption</span></code> is a 2D Tensor.</p></li>
 <li><p><strong>sound_speed</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>optional</em>) – The speed of sound. (Default: <code class="docutils literal notranslate"><span class="pre">343.0</span></code>)</p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>optional</em>) – The sample rate of the generated room impulse response signal.
@@ -484,7 +484,7 @@ <h1>torchaudio.prototype.functional.simulate_rir_ism<a class="headerlink" href="
 <cite>(channel, rir_length)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>)</p>
 </dd>
 </dl>
 <div class="admonition note">
diff --git a/main/generated/torchaudio.prototype.functional.sinc_impulse_response.html b/main/generated/torchaudio.prototype.functional.sinc_impulse_response.html
index 443e3913b15..4f4681c5b0c 100644
--- a/main/generated/torchaudio.prototype.functional.sinc_impulse_response.html
+++ b/main/generated/torchaudio.prototype.functional.sinc_impulse_response.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.functional.sinc_impulse_response &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.functional.sinc_impulse_response &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -442,7 +442,7 @@
 <h1>torchaudio.prototype.functional.sinc_impulse_response<a class="headerlink" href="#torchaudio-prototype-functional-sinc-impulse-response" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.prototype.functional.sinc_impulse_response">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">sinc_impulse_response</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">513</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_pass</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_dsp.html#sinc_impulse_response"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.sinc_impulse_response" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">sinc_impulse_response</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">513</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_pass</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_dsp.html#sinc_impulse_response"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.sinc_impulse_response" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create windowed-sinc impulse response for given cutoff frequencies.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.html b/main/generated/torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.html
index 12c8041c9db..be64c1648ee 100644
--- a/main/generated/torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.html
+++ b/main/generated/torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ConformerWav2Vec2PretrainModel &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>ConformerWav2Vec2PretrainModel &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -442,7 +442,7 @@
 <h1>ConformerWav2Vec2PretrainModel<a class="headerlink" href="#conformerwav2vec2pretrainmodel" title="Permalink to this heading">¶</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="torchaudio.prototype.models.ConformerWav2Vec2PretrainModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.models.</span></span><span class="sig-name descname"><span class="pre">ConformerWav2Vec2PretrainModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">wav2vec2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="torchaudio.models.Wav2Vec2Model.html#torchaudio.models.Wav2Vec2Model" title="torchaudio.models.wav2vec2.model.Wav2Vec2Model"><span class="pre">Wav2Vec2Model</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_generator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">negative_sampler</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><span class="pre">Module</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/prototype/models/_conformer_wav2vec2.html#ConformerWav2Vec2PretrainModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.models.ConformerWav2Vec2PretrainModel" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.models.</span></span><span class="sig-name descname"><span class="pre">ConformerWav2Vec2PretrainModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">wav2vec2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="torchaudio.models.Wav2Vec2Model.html#torchaudio.models.Wav2Vec2Model" title="torchaudio.models.wav2vec2.model.Wav2Vec2Model"><span class="pre">Wav2Vec2Model</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_generator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">negative_sampler</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><span class="pre">Module</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/prototype/models/_conformer_wav2vec2.html#ConformerWav2Vec2PretrainModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.models.ConformerWav2Vec2PretrainModel" title="Permalink to this definition">¶</a></dt>
 <dd><p>Conformer Wav2Vec2 pre-train model for training from scratch.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -468,7 +468,7 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.forward">
-<span class="sig-prename descclassname"><span class="pre">ConformerWav2Vec2PretrainModel.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">audio_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/models/_conformer_wav2vec2.html#ConformerWav2Vec2PretrainModel.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">ConformerWav2Vec2PretrainModel.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">audio_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/models/_conformer_wav2vec2.html#ConformerWav2Vec2PretrainModel.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
diff --git a/main/generated/torchaudio.prototype.models.ConvEmformer.html b/main/generated/torchaudio.prototype.models.ConvEmformer.html
index a7b16914745..372ac23f796 100644
--- a/main/generated/torchaudio.prototype.models.ConvEmformer.html
+++ b/main/generated/torchaudio.prototype.models.ConvEmformer.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ConvEmformer &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>ConvEmformer &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -490,7 +490,7 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.models.ConvEmformer.forward">
-<span class="sig-prename descclassname"><span class="pre">ConvEmformer.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.prototype.models.ConvEmformer.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">ConvEmformer.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.prototype.models.ConvEmformer.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Forward pass for training and non-streaming inference.</p>
 <p>B: batch size;
 T: max number of input frames in batch;
@@ -498,9 +498,9 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – utterance frames right-padded with right context frames, with
+<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – utterance frames right-padded with right context frames, with
 shape <cite>(B, T + right_context_length, D)</cite>.</p></li>
-<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 number of valid utterance frames for i-th batch element in <code class="docutils literal notranslate"><span class="pre">input</span></code>.</p></li>
 </ul>
 </dd>
@@ -527,18 +527,18 @@ <h2>infer<a class="headerlink" href="#infer" title="Permalink to this heading">
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.models.ConvEmformer.infer">
-<span class="sig-prename descclassname"><span class="pre">ConvEmformer.</span></span><span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">states</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.prototype.models.ConvEmformer.infer" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">ConvEmformer.</span></span><span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">states</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.prototype.models.ConvEmformer.infer" title="Permalink to this definition">¶</a></dt>
 <dd><p>Forward pass for streaming inference.</p>
 <p>B: batch size;
 D: feature dimension of each frame.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – utterance frames right-padded with right context frames, with
+<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – utterance frames right-padded with right context frames, with
 shape <cite>(B, segment_length + right_context_length, D)</cite>.</p></li>
-<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 number of valid frames for i-th batch element in <code class="docutils literal notranslate"><span class="pre">input</span></code>.</p></li>
-<li><p><strong>states</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em><em>, </em><em>optional</em>) – list of lists of tensors
+<li><p><strong>states</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em><em>, </em><em>optional</em>) – list of lists of tensors
 representing internal state generated in preceding invocation of <code class="docutils literal notranslate"><span class="pre">infer</span></code>. (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 </ul>
 </dd>
diff --git a/main/generated/torchaudio.prototype.models.HiFiGANVocoder.html b/main/generated/torchaudio.prototype.models.HiFiGANVocoder.html
index 2d108671afe..648e0a4d23f 100644
--- a/main/generated/torchaudio.prototype.models.HiFiGANVocoder.html
+++ b/main/generated/torchaudio.prototype.models.HiFiGANVocoder.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HiFiGANVocoder &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>HiFiGANVocoder &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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@@ -476,7 +476,7 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.models.HiFiGANVocoder.forward">
-<span class="sig-prename descclassname"><span class="pre">HiFiGANVocoder.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/models/hifi_gan.html#HiFiGANVocoder.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.models.HiFiGANVocoder.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">HiFiGANVocoder.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/models/hifi_gan.html#HiFiGANVocoder.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.models.HiFiGANVocoder.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>x</strong> (<em>Tensor</em>) – Feature input tensor of shape <cite>(batch_size, num_channels, time_length)</cite>.</p>
diff --git a/main/generated/torchaudio.prototype.models.conformer_rnnt_base.html b/main/generated/torchaudio.prototype.models.conformer_rnnt_base.html
index 1cb0189c750..321c0d4235e 100644
--- a/main/generated/torchaudio.prototype.models.conformer_rnnt_base.html
+++ b/main/generated/torchaudio.prototype.models.conformer_rnnt_base.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.models.conformer_rnnt_base &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.models.conformer_rnnt_base &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.prototype.models.conformer_rnnt_model.html b/main/generated/torchaudio.prototype.models.conformer_rnnt_model.html
index f63202c7e34..b5fe55d4412 100644
--- a/main/generated/torchaudio.prototype.models.conformer_rnnt_model.html
+++ b/main/generated/torchaudio.prototype.models.conformer_rnnt_model.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.models.conformer_rnnt_model &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.models.conformer_rnnt_model &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_base.html b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_base.html
index f921d774ec1..e4708b2a1b9 100644
--- a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_base.html
+++ b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_base.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.models.conformer_wav2vec2_base &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.models.conformer_wav2vec2_base &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_model.html b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_model.html
index 692fcbf1d67..308d0c66e8e 100644
--- a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_model.html
+++ b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_model.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.models.conformer_wav2vec2_model &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.models.conformer_wav2vec2_model &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_base.html b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_base.html
index 2b477d66fe7..49a20b7397c 100644
--- a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_base.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.models.conformer_wav2vec2_pretrain_base &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.models.conformer_wav2vec2_pretrain_base &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_large.html b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_large.html
index 41279b782a9..6af152303d2 100644
--- a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_large.html
+++ b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_large.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.models.conformer_wav2vec2_pretrain_large &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.models.conformer_wav2vec2_pretrain_large &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_model.html b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_model.html
index 92ed0a85a84..6f5b30a74a5 100644
--- a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_model.html
+++ b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_model.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.models.conformer_wav2vec2_pretrain_model &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.models.conformer_wav2vec2_pretrain_model &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.prototype.models.emformer_hubert_base.html b/main/generated/torchaudio.prototype.models.emformer_hubert_base.html
index 0ee463a052a..0037027de20 100644
--- a/main/generated/torchaudio.prototype.models.emformer_hubert_base.html
+++ b/main/generated/torchaudio.prototype.models.emformer_hubert_base.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.models.emformer_hubert_base &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.models.emformer_hubert_base &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.prototype.models.emformer_hubert_model.html b/main/generated/torchaudio.prototype.models.emformer_hubert_model.html
index 360e7b05937..10b35371bb1 100644
--- a/main/generated/torchaudio.prototype.models.emformer_hubert_model.html
+++ b/main/generated/torchaudio.prototype.models.emformer_hubert_model.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.models.emformer_hubert_model &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.models.emformer_hubert_model &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.prototype.models.hifigan_vocoder.html b/main/generated/torchaudio.prototype.models.hifigan_vocoder.html
index 7ddca3a6638..04aa97f25de 100644
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@@ -10,7 +10,7 @@
 
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-  <title>torchaudio.prototype.models.hifigan_vocoder &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.models.hifigan_vocoder &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
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+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v1.html b/main/generated/torchaudio.prototype.models.hifigan_vocoder_v1.html
index 6e499ec937d..003fbbdc67d 100644
--- a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v1.html
+++ b/main/generated/torchaudio.prototype.models.hifigan_vocoder_v1.html
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-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v2.html b/main/generated/torchaudio.prototype.models.hifigan_vocoder_v2.html
index f3c0e99f5b8..ae14c5a6637 100644
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@@ -10,7 +10,7 @@
 
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-  <title>torchaudio.prototype.models.hifigan_vocoder_v2 &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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diff --git a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v3.html b/main/generated/torchaudio.prototype.models.hifigan_vocoder_v3.html
index db1a750b1aa..778cdc63c2c 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.models.hifigan_vocoder_v3 &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.prototype.models.hifigan_vocoder_v3 &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_MUSTC.html b/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_MUSTC.html
index 08655af8d22..4622182ec26 100644
--- a/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_MUSTC.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>EMFORMER_RNNT_BASE_MUSTC &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>EMFORMER_RNNT_BASE_MUSTC &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_TEDLIUM3.html b/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_TEDLIUM3.html
index 259a30e6c36..ba650fff6eb 100644
--- a/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_TEDLIUM3.html
+++ b/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_TEDLIUM3.html
@@ -10,7 +10,7 @@
 
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-  <title>EMFORMER_RNNT_BASE_TEDLIUM3 &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>EMFORMER_RNNT_BASE_TEDLIUM3 &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.prototype.pipelines.HIFIGAN_VOCODER_V3_LJSPEECH.html b/main/generated/torchaudio.prototype.pipelines.HIFIGAN_VOCODER_V3_LJSPEECH.html
index 6e084dd581b..d01defef6b3 100644
--- a/main/generated/torchaudio.prototype.pipelines.HIFIGAN_VOCODER_V3_LJSPEECH.html
+++ b/main/generated/torchaudio.prototype.pipelines.HIFIGAN_VOCODER_V3_LJSPEECH.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HIFIGAN_VOCODER_V3_LJSPEECH &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>HIFIGAN_VOCODER_V3_LJSPEECH &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.prototype.pipelines.HiFiGANVocoderBundle.html b/main/generated/torchaudio.prototype.pipelines.HiFiGANVocoderBundle.html
index 3d4d5dc3fec..ba72069ebbf 100644
--- a/main/generated/torchaudio.prototype.pipelines.HiFiGANVocoderBundle.html
+++ b/main/generated/torchaudio.prototype.pipelines.HiFiGANVocoderBundle.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HiFiGANVocoderBundle &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>HiFiGANVocoderBundle &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
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@@ -529,7 +529,7 @@ <h3>get_mel_transform<a class="headerlink" href="#get-mel-transform" title="Perm
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.pipelines.HiFiGANVocoderBundle.get_mel_transform">
-<span class="sig-prename descclassname"><span class="pre">HiFiGANVocoderBundle.</span></span><span class="sig-name descname"><span class="pre">get_mel_transform</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><span class="pre">Module</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/pipelines/hifigan_pipeline.html#HiFiGANVocoderBundle.get_mel_transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.pipelines.HiFiGANVocoderBundle.get_mel_transform" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">HiFiGANVocoderBundle.</span></span><span class="sig-name descname"><span class="pre">get_mel_transform</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><span class="pre">Module</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/pipelines/hifigan_pipeline.html#HiFiGANVocoderBundle.get_mel_transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.pipelines.HiFiGANVocoderBundle.get_mel_transform" title="Permalink to this definition">¶</a></dt>
 <dd><p>Construct an object which transforms waveforms into mel spectrograms.</p>
 </dd></dl>
 
@@ -543,10 +543,10 @@ <h3>get_vocoder<a class="headerlink" href="#get-vocoder" title="Permalink to thi
 <span class="sig-prename descclassname"><span class="pre">HiFiGANVocoderBundle.</span></span><span class="sig-name descname"><span class="pre">get_vocoder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dl_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="torchaudio.prototype.models.HiFiGANVocoder.html#torchaudio.prototype.models.HiFiGANVocoder" title="torchaudio.prototype.models.hifi_gan.HiFiGANVocoder"><span class="pre">HiFiGANVocoder</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/pipelines/hifigan_pipeline.html#HiFiGANVocoderBundle.get_vocoder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.pipelines.HiFiGANVocoderBundle.get_vocoder" title="Permalink to this definition">¶</a></dt>
 <dd><p>Construct the HiFiGAN Generator model, which can be used a vocoder, and load the pretrained weight.</p>
 <p>The weight file is downloaded from the internet and cached with
-<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a></p>
+<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a></p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
+<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Variation of <a class="reference internal" href="torchaudio.prototype.models.HiFiGANVocoder.html#torchaudio.prototype.models.HiFiGANVocoder" title="torchaudio.prototype.models.HiFiGANVocoder"><code class="xref py py-class docutils literal notranslate"><span class="pre">HiFiGANVocoder</span></code></a>.</p>
diff --git a/main/generated/torchaudio.prototype.pipelines.VGGISH.html b/main/generated/torchaudio.prototype.pipelines.VGGISH.html
index 9d53698f840..2b7dc943c0d 100644
--- a/main/generated/torchaudio.prototype.pipelines.VGGISH.html
+++ b/main/generated/torchaudio.prototype.pipelines.VGGISH.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VGGISH &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>VGGISH &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGish.html b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGish.html
index 880904188c4..b9a7d7c8384 100644
--- a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGish.html
+++ b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGish.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VGGishBundle.VGGish &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>VGGishBundle.VGGish &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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@@ -453,16 +453,16 @@ <h3>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.pipelines.VGGishBundle.VGGish.forward">
-<span class="sig-prename descclassname"><span class="pre">VGGish.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="headerlink" href="#torchaudio.prototype.pipelines.VGGishBundle.VGGish.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">VGGish.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="headerlink" href="#torchaudio.prototype.pipelines.VGGishBundle.VGGish.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – batch of spectrograms, with shape <cite>(n_example, 1, n_frame, 64)</cite>.</p>
+<dd class="field-odd"><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – batch of spectrograms, with shape <cite>(n_example, 1, n_frame, 64)</cite>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>model output, with shape <cite>(n_example, 128)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.html b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.html
index f6a343d2ebb..42eb9aa3871 100644
--- a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.html
+++ b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VGGishBundle.VGGishInputProcessor &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>VGGishBundle.VGGishInputProcessor &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
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@@ -453,11 +453,11 @@ <h3>__call__<a class="headerlink" href="#call" title="Permalink to this heading"
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.__call__">
-<span class="sig-prename descclassname"><span class="pre">VGGishInputProcessor.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="headerlink" href="#torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.__call__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">VGGishInputProcessor.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="headerlink" href="#torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.__call__" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – waveform, with shape <cite>(T,)</cite>.</p></li>
+<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – waveform, with shape <cite>(T,)</cite>.</p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – sample rate of waveform in hertz.</p></li>
 </ul>
 </dd>
@@ -465,7 +465,7 @@ <h3>__call__<a class="headerlink" href="#call" title="Permalink to this heading"
 <dd class="field-even"><p>batch of examples to pass to VGGish, with shape <cite>(n_example, 1, n_frame, 64)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.html b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.html
index e2d057b60bc..6b9b498cf4b 100644
--- a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.html
+++ b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VGGishBundle &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>VGGishBundle &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.prototype.transforms.BarkScale.html b/main/generated/torchaudio.prototype.transforms.BarkScale.html
index 7944e086043..5e75549a6fe 100644
--- a/main/generated/torchaudio.prototype.transforms.BarkScale.html
+++ b/main/generated/torchaudio.prototype.transforms.BarkScale.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>BarkScale &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>BarkScale &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -477,16 +477,16 @@ <h1>BarkScale<a class="headerlink" href="#barkscale" title="Permalink to this he
 </div>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.transforms.BarkScale.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/transforms/_transforms.html#BarkScale.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.transforms.BarkScale.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/transforms/_transforms.html#BarkScale.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.transforms.BarkScale.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – A spectrogram STFT of dimension (…, freq, time).</p>
+<dd class="field-odd"><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – A spectrogram STFT of dimension (…, freq, time).</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Bark frequency spectrogram of size (…, <code class="docutils literal notranslate"><span class="pre">n_barks</span></code>, time).</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.prototype.transforms.BarkSpectrogram.html b/main/generated/torchaudio.prototype.transforms.BarkSpectrogram.html
index d8a7519377c..662e068441b 100644
--- a/main/generated/torchaudio.prototype.transforms.BarkSpectrogram.html
+++ b/main/generated/torchaudio.prototype.transforms.BarkSpectrogram.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>BarkSpectrogram &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>BarkSpectrogram &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -468,7 +468,7 @@ <h1>BarkSpectrogram<a class="headerlink" href="#barkspectrogram" title="Permalin
 <li><p><strong>f_max</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Maximum frequency. (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 <li><p><strong>pad</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em>, </em><em>optional</em>) – Two sided padding of signal. (Default: <code class="docutils literal notranslate"><span class="pre">0</span></code>)</p></li>
 <li><p><strong>n_mels</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em>, </em><em>optional</em>) – Number of mel filterbanks. (Default: <code class="docutils literal notranslate"><span class="pre">128</span></code>)</p></li>
-<li><p><strong>window_fn</strong> (<em>Callable</em><em>[</em><em>...</em><em>, </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>]</em><em>, </em><em>optional</em>) – A function to create a window tensor
+<li><p><strong>window_fn</strong> (<em>Callable</em><em>[</em><em>...</em><em>, </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>]</em><em>, </em><em>optional</em>) – A function to create a window tensor
 that is applied/multiplied to each frame/window. (Default: <code class="docutils literal notranslate"><span class="pre">torch.hann_window</span></code>)</p></li>
 <li><p><strong>power</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>optional</em>) – Exponent for the magnitude spectrogram,
 (must be &gt; 0) e.g., 1 for energy, 2 for power, etc. (Default: <code class="docutils literal notranslate"><span class="pre">2</span></code>)</p></li>
@@ -498,16 +498,16 @@ <h1>BarkSpectrogram<a class="headerlink" href="#barkspectrogram" title="Permalin
 </div>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.transforms.BarkSpectrogram.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/transforms/_transforms.html#BarkSpectrogram.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.transforms.BarkSpectrogram.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/transforms/_transforms.html#BarkSpectrogram.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.transforms.BarkSpectrogram.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – torch.Tensor of audio of dimension (…, time).</p>
+<dd class="field-odd"><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – torch.Tensor of audio of dimension (…, time).</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Bark frequency spectrogram of size (…, <code class="docutils literal notranslate"><span class="pre">n_barks</span></code>, time).</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.prototype.transforms.ChromaScale.html b/main/generated/torchaudio.prototype.transforms.ChromaScale.html
index b7cdcc985f2..6df5622d62d 100644
--- a/main/generated/torchaudio.prototype.transforms.ChromaScale.html
+++ b/main/generated/torchaudio.prototype.transforms.ChromaScale.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ChromaScale &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>ChromaScale &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -478,16 +478,16 @@ <h1>ChromaScale<a class="headerlink" href="#chromascale" title="Permalink to thi
 </div>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.transforms.ChromaScale.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/transforms/_transforms.html#ChromaScale.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.transforms.ChromaScale.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/transforms/_transforms.html#ChromaScale.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.transforms.ChromaScale.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Spectrogram of dimension (…, <code class="docutils literal notranslate"><span class="pre">n_freqs</span></code>, time).</p>
+<dd class="field-odd"><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Spectrogram of dimension (…, <code class="docutils literal notranslate"><span class="pre">n_freqs</span></code>, time).</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Chroma spectrogram of size (…, <code class="docutils literal notranslate"><span class="pre">n_chroma</span></code>, time).</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.prototype.transforms.ChromaSpectrogram.html b/main/generated/torchaudio.prototype.transforms.ChromaSpectrogram.html
index 06257968972..ebe269c3f3c 100644
--- a/main/generated/torchaudio.prototype.transforms.ChromaSpectrogram.html
+++ b/main/generated/torchaudio.prototype.transforms.ChromaSpectrogram.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ChromaSpectrogram &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>ChromaSpectrogram &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -456,7 +456,7 @@ <h1>ChromaSpectrogram<a class="headerlink" href="#chromaspectrogram" title="Perm
 <li><p><strong>win_length</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Window size. (Default: <code class="docutils literal notranslate"><span class="pre">n_fft</span></code>)</p></li>
 <li><p><strong>hop_length</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Length of hop between STFT windows. (Default: <code class="docutils literal notranslate"><span class="pre">win_length</span> <span class="pre">//</span> <span class="pre">2</span></code>)</p></li>
 <li><p><strong>pad</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em>, </em><em>optional</em>) – Two sided padding of signal. (Default: <code class="docutils literal notranslate"><span class="pre">0</span></code>)</p></li>
-<li><p><strong>window_fn</strong> (<em>Callable</em><em>[</em><em>...</em><em>, </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em>]</em><em>, </em><em>optional</em>) – A function to create a window tensor
+<li><p><strong>window_fn</strong> (<em>Callable</em><em>[</em><em>...</em><em>, </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em>]</em><em>, </em><em>optional</em>) – A function to create a window tensor
 that is applied/multiplied to each frame/window. (Default: <code class="docutils literal notranslate"><span class="pre">torch.hann_window</span></code>)</p></li>
 <li><p><strong>power</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>optional</em>) – Exponent for the magnitude spectrogram,
 (must be &gt; 0) e.g., 1 for energy, 2 for power, etc. (Default: <code class="docutils literal notranslate"><span class="pre">2</span></code>)</p></li>
@@ -487,7 +487,7 @@ <h1>ChromaSpectrogram<a class="headerlink" href="#chromaspectrogram" title="Perm
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.transforms.ChromaSpectrogram.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/transforms/_transforms.html#ChromaSpectrogram.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.transforms.ChromaSpectrogram.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/transforms/_transforms.html#ChromaSpectrogram.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.transforms.ChromaSpectrogram.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension (…, time).</p>
diff --git a/main/generated/torchaudio.prototype.transforms.InverseBarkScale.html b/main/generated/torchaudio.prototype.transforms.InverseBarkScale.html
index f2a621671b4..b129ab5d302 100644
--- a/main/generated/torchaudio.prototype.transforms.InverseBarkScale.html
+++ b/main/generated/torchaudio.prototype.transforms.InverseBarkScale.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>InverseBarkScale &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>InverseBarkScale &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -475,16 +475,16 @@ <h1>InverseBarkScale<a class="headerlink" href="#inversebarkscale" title="Permal
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.transforms.InverseBarkScale.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">barkspec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/transforms/_transforms.html#InverseBarkScale.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.transforms.InverseBarkScale.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">barkspec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/transforms/_transforms.html#InverseBarkScale.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.transforms.InverseBarkScale.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>barkspec</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – A Bark frequency spectrogram of dimension (…, <code class="docutils literal notranslate"><span class="pre">n_barks</span></code>, time)</p>
+<dd class="field-odd"><p><strong>barkspec</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – A Bark frequency spectrogram of dimension (…, <code class="docutils literal notranslate"><span class="pre">n_barks</span></code>, time)</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Linear scale spectrogram of size (…, freq, time)</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.save.html b/main/generated/torchaudio.save.html
index 594c71b1397..55da15bc7f7 100644
--- a/main/generated/torchaudio.save.html
+++ b/main/generated/torchaudio.save.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.save &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.save &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.save<a class="headerlink" href="#torchaudio-save" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.save">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.</span></span><span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">uri</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.BinaryIO" title="(in Python v3.12)"><span class="pre">BinaryIO</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/os.html#os.PathLike" title="(in Python v3.12)"><span class="pre">PathLike</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">src</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels_first</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bits_per_sample</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">buffer_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4096</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">backend</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compression</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="torio.io.StreamingMediaEncoder.html#torio.io.CodecConfig" title="torio.io._streaming_media_encoder.CodecConfig"><span class="pre">CodecConfig</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#torchaudio.save" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.</span></span><span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">uri</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.BinaryIO" title="(in Python v3.12)"><span class="pre">BinaryIO</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/os.html#os.PathLike" title="(in Python v3.12)"><span class="pre">PathLike</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">src</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels_first</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bits_per_sample</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">buffer_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4096</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">backend</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compression</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="torio.io.StreamingMediaEncoder.html#torio.io.CodecConfig" title="torio.io._streaming_media_encoder.CodecConfig"><span class="pre">CodecConfig</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#torchaudio.save" title="Permalink to this definition">¶</a></dt>
 <dd><p>Save audio data to file.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -456,7 +456,7 @@ <h1>torchaudio.save<a class="headerlink" href="#torchaudio-save" title="Permalin
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em> or </em><a class="reference external" href="https://docs.python.org/3/library/pathlib.html#pathlib.Path" title="(in Python v3.12)"><em>pathlib.Path</em></a>) – Path to audio file.</p></li>
-<li><p><strong>src</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Audio data to save. must be 2D tensor.</p></li>
+<li><p><strong>src</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Audio data to save. must be 2D tensor.</p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – sampling rate</p></li>
 <li><p><strong>channels_first</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>optional</em>) – If <code class="docutils literal notranslate"><span class="pre">True</span></code>, the given tensor is interpreted as <cite>[channel, time]</cite>,
 otherwise <cite>[time, channel]</cite>.</p></li>
diff --git a/main/generated/torchaudio.sox_effects.apply_effects_file.html b/main/generated/torchaudio.sox_effects.apply_effects_file.html
index ab222fcdfd4..91e5bf97115 100644
--- a/main/generated/torchaudio.sox_effects.apply_effects_file.html
+++ b/main/generated/torchaudio.sox_effects.apply_effects_file.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.sox_effects.apply_effects_file &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.sox_effects.apply_effects_file &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.sox_effects.apply_effects_file<a class="headerlink" href="#torchaudio-sox-effects-apply-effects-file" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.sox_effects.apply_effects_file">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.sox_effects.</span></span><span class="sig-name descname"><span class="pre">apply_effects_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">effects</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels_first</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/sox_effects/sox_effects.html#apply_effects_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.sox_effects.apply_effects_file" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.sox_effects.</span></span><span class="sig-name descname"><span class="pre">apply_effects_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">effects</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels_first</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/sox_effects/sox_effects.html#apply_effects_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.sox_effects.apply_effects_file" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply sox effects to the audio file and load the resulting data as Tensor</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU" class="shield-badge" src="../_images/e293eae5f4516a625dc07ed0eed1ff8b2f18eef5a9da1f8561cc97c78ab0600c.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.sox_effects.apply_effects_tensor.html b/main/generated/torchaudio.sox_effects.apply_effects_tensor.html
index 2afde38add0..8a9c3edc4da 100644
--- a/main/generated/torchaudio.sox_effects.apply_effects_tensor.html
+++ b/main/generated/torchaudio.sox_effects.apply_effects_tensor.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.sox_effects.apply_effects_tensor &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.sox_effects.apply_effects_tensor &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.sox_effects.apply_effects_tensor<a class="headerlink" href="#torchaudio-sox-effects-apply-effects-tensor" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.sox_effects.apply_effects_tensor">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.sox_effects.</span></span><span class="sig-name descname"><span class="pre">apply_effects_tensor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">effects</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels_first</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/sox_effects/sox_effects.html#apply_effects_tensor"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.sox_effects.apply_effects_tensor" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.sox_effects.</span></span><span class="sig-name descname"><span class="pre">apply_effects_tensor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">effects</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels_first</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/sox_effects/sox_effects.html#apply_effects_tensor"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.sox_effects.apply_effects_tensor" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply sox effects to given Tensor</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU" class="shield-badge" src="../_images/e293eae5f4516a625dc07ed0eed1ff8b2f18eef5a9da1f8561cc97c78ab0600c.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
@@ -456,7 +456,7 @@ <h1>torchaudio.sox_effects.apply_effects_tensor<a class="headerlink" href="#torc
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>tensor</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Input 2D CPU Tensor.</p></li>
+<li><p><strong>tensor</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Input 2D CPU Tensor.</p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – Sample rate</p></li>
 <li><p><strong>effects</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>]</em><em>]</em>) – List of effects.</p></li>
 <li><p><strong>channels_first</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>optional</em>) – Indicates if the input Tensor’s dimension is
diff --git a/main/generated/torchaudio.sox_effects.effect_names.html b/main/generated/torchaudio.sox_effects.effect_names.html
index ed0d292553b..a685fe97bb2 100644
--- a/main/generated/torchaudio.sox_effects.effect_names.html
+++ b/main/generated/torchaudio.sox_effects.effect_names.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.sox_effects.effect_names &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.sox_effects.effect_names &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.transforms.AddNoise.html b/main/generated/torchaudio.transforms.AddNoise.html
index aad0a05ac51..898bc130290 100644
--- a/main/generated/torchaudio.transforms.AddNoise.html
+++ b/main/generated/torchaudio.transforms.AddNoise.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>AddNoise &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>AddNoise &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -447,14 +447,14 @@ <h1>AddNoise<a class="headerlink" href="#addnoise" title="Permalink to this head
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.AddNoise.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">snr</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#AddNoise.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.AddNoise.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">snr</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#AddNoise.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.AddNoise.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Input waveform, with shape <cite>(…, L)</cite>.</p></li>
-<li><p><strong>noise</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Noise, with shape <cite>(…, L)</cite> (same shape as <code class="docutils literal notranslate"><span class="pre">waveform</span></code>).</p></li>
-<li><p><strong>snr</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Signal-to-noise ratios in dB, with shape <cite>(…,)</cite>.</p></li>
-<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Valid lengths of signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code> and <code class="docutils literal notranslate"><span class="pre">noise</span></code>,</p></li>
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Input waveform, with shape <cite>(…, L)</cite>.</p></li>
+<li><p><strong>noise</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Noise, with shape <cite>(…, L)</cite> (same shape as <code class="docutils literal notranslate"><span class="pre">waveform</span></code>).</p></li>
+<li><p><strong>snr</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Signal-to-noise ratios in dB, with shape <cite>(…,)</cite>.</p></li>
+<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Valid lengths of signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code> and <code class="docutils literal notranslate"><span class="pre">noise</span></code>,</p></li>
 <li><p><strong>`</strong> (<em>with shape</em>) – </p></li>
 <li><p><strong>(Default</strong> (<em>elements in waveform and noise are treated as valid.</em>) – <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 </ul>
@@ -464,7 +464,7 @@ <h1>AddNoise<a class="headerlink" href="#addnoise" title="Permalink to this head
 (same shape as <code class="docutils literal notranslate"><span class="pre">waveform</span></code>).</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.AmplitudeToDB.html b/main/generated/torchaudio.transforms.AmplitudeToDB.html
index dd89d5c0224..99776f27d09 100644
--- a/main/generated/torchaudio.transforms.AmplitudeToDB.html
+++ b/main/generated/torchaudio.transforms.AmplitudeToDB.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>AmplitudeToDB &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>AmplitudeToDB &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -471,7 +471,7 @@ <h1>AmplitudeToDB<a class="headerlink" href="#amplitudetodb" title="Permalink to
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.AmplitudeToDB.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#AmplitudeToDB.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.AmplitudeToDB.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#AmplitudeToDB.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.AmplitudeToDB.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Numerically stable implementation from Librosa.</p>
 <p><a class="reference external" href="https://librosa.org/doc/latest/generated/librosa.amplitude_to_db.html">https://librosa.org/doc/latest/generated/librosa.amplitude_to_db.html</a></p>
 <dl class="field-list simple">
diff --git a/main/generated/torchaudio.transforms.ComputeDeltas.html b/main/generated/torchaudio.transforms.ComputeDeltas.html
index b246994ca65..0b2cdd65b5e 100644
--- a/main/generated/torchaudio.transforms.ComputeDeltas.html
+++ b/main/generated/torchaudio.transforms.ComputeDeltas.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ComputeDeltas &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>ComputeDeltas &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -455,7 +455,7 @@ <h1>ComputeDeltas<a class="headerlink" href="#computedeltas" title="Permalink to
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.ComputeDeltas.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#ComputeDeltas.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.ComputeDeltas.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#ComputeDeltas.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.ComputeDeltas.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>specgram</strong> (<em>Tensor</em>) – Tensor of audio of dimension (…, freq, time).</p>
diff --git a/main/generated/torchaudio.transforms.Convolve.html b/main/generated/torchaudio.transforms.Convolve.html
index 7f16adbd362..9d631b79f53 100644
--- a/main/generated/torchaudio.transforms.Convolve.html
+++ b/main/generated/torchaudio.transforms.Convolve.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Convolve &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Convolve &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -442,7 +442,7 @@ <h1>Convolve<a class="headerlink" href="#convolve" title="Permalink to this head
 <dt class="sig sig-object py" id="torchaudio.transforms.Convolve">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.transforms.</span></span><span class="sig-name descname"><span class="pre">Convolve</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'full'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Convolve"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Convolve" title="Permalink to this definition">¶</a></dt>
 <dd><p>Convolves inputs along their last dimension using the direct method.
-Note that, in contrast to <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Conv1d.html#torch.nn.Conv1d" title="(in PyTorch v2.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.nn.Conv1d</span></code></a>, which actually applies the valid cross-correlation
+Note that, in contrast to <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Conv1d.html#torch.nn.Conv1d" title="(in PyTorch v2.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.nn.Conv1d</span></code></a>, which actually applies the valid cross-correlation
 operator, this module applies the true <a class="reference external" href="https://en.wikipedia.org/wiki/Convolution">convolution</a> operator.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -461,12 +461,12 @@ <h1>Convolve<a class="headerlink" href="#convolve" title="Permalink to this head
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.Convolve.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Convolve.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Convolve.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Convolve.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Convolve.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – First convolution operand, with shape <cite>(…, N)</cite>.</p></li>
-<li><p><strong>y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Second convolution operand, with shape <cite>(…, M)</cite>
+<li><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – First convolution operand, with shape <cite>(…, N)</cite>.</p></li>
+<li><p><strong>y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Second convolution operand, with shape <cite>(…, M)</cite>
 (leading dimensions must be broadcast-able with those of <code class="docutils literal notranslate"><span class="pre">x</span></code>).</p></li>
 </ul>
 </dd>
@@ -475,7 +475,7 @@ <h1>Convolve<a class="headerlink" href="#convolve" title="Permalink to this head
 the leading dimensions match those of <code class="docutils literal notranslate"><span class="pre">x</span></code> and <cite>L</cite> is dictated by <code class="docutils literal notranslate"><span class="pre">mode</span></code>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.Deemphasis.html b/main/generated/torchaudio.transforms.Deemphasis.html
index b67409790eb..cdc62bb6313 100644
--- a/main/generated/torchaudio.transforms.Deemphasis.html
+++ b/main/generated/torchaudio.transforms.Deemphasis.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Deemphasis &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Deemphasis &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -453,16 +453,16 @@ <h1>Deemphasis<a class="headerlink" href="#deemphasis" title="Permalink to this
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.Deemphasis.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Deemphasis.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Deemphasis.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Deemphasis.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Deemphasis.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Waveform, with shape <cite>(…, N)</cite>.</p>
+<dd class="field-odd"><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Waveform, with shape <cite>(…, N)</cite>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>De-emphasized waveform, with shape <cite>(…, N)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.FFTConvolve.html b/main/generated/torchaudio.transforms.FFTConvolve.html
index 55dafa5b0b5..0d7b0712b1e 100644
--- a/main/generated/torchaudio.transforms.FFTConvolve.html
+++ b/main/generated/torchaudio.transforms.FFTConvolve.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>FFTConvolve &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>FFTConvolve &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -443,7 +443,7 @@ <h1>FFTConvolve<a class="headerlink" href="#fftconvolve" title="Permalink to thi
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.transforms.</span></span><span class="sig-name descname"><span class="pre">FFTConvolve</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'full'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#FFTConvolve"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.FFTConvolve" title="Permalink to this definition">¶</a></dt>
 <dd><p>Convolves inputs along their last dimension using FFT. For inputs with large last dimensions, this module
 is generally much faster than <a class="reference internal" href="torchaudio.transforms.Convolve.html#torchaudio.transforms.Convolve" title="torchaudio.transforms.Convolve"><code class="xref py py-class docutils literal notranslate"><span class="pre">Convolve</span></code></a>.
-Note that, in contrast to <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Conv1d.html#torch.nn.Conv1d" title="(in PyTorch v2.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.nn.Conv1d</span></code></a>, which actually applies the valid cross-correlation
+Note that, in contrast to <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Conv1d.html#torch.nn.Conv1d" title="(in PyTorch v2.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.nn.Conv1d</span></code></a>, which actually applies the valid cross-correlation
 operator, this module applies the true <a class="reference external" href="https://en.wikipedia.org/wiki/Convolution">convolution</a> operator.
 Also note that this module can only output float tensors (int tensor inputs will be cast to float).</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
@@ -463,12 +463,12 @@ <h1>FFTConvolve<a class="headerlink" href="#fftconvolve" title="Permalink to thi
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.FFTConvolve.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#FFTConvolve.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.FFTConvolve.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#FFTConvolve.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.FFTConvolve.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – First convolution operand, with shape <cite>(…, N)</cite>.</p></li>
-<li><p><strong>y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Second convolution operand, with shape <cite>(…, M)</cite>
+<li><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – First convolution operand, with shape <cite>(…, N)</cite>.</p></li>
+<li><p><strong>y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Second convolution operand, with shape <cite>(…, M)</cite>
 (leading dimensions must be broadcast-able with those of <code class="docutils literal notranslate"><span class="pre">x</span></code>).</p></li>
 </ul>
 </dd>
@@ -477,7 +477,7 @@ <h1>FFTConvolve<a class="headerlink" href="#fftconvolve" title="Permalink to thi
 the leading dimensions match those of <code class="docutils literal notranslate"><span class="pre">x</span></code> and <cite>L</cite> is dictated by <code class="docutils literal notranslate"><span class="pre">mode</span></code>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.Fade.html b/main/generated/torchaudio.transforms.Fade.html
index 25c8391a072..6a2689cfcd3 100644
--- a/main/generated/torchaudio.transforms.Fade.html
+++ b/main/generated/torchaudio.transforms.Fade.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Fade &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Fade &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -469,7 +469,7 @@ <h1>Fade<a class="headerlink" href="#fade" title="Permalink to this heading">¶<
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.Fade.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Fade.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Fade.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Fade.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Fade.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension <cite>(…, time)</cite>.</p>
diff --git a/main/generated/torchaudio.transforms.FrequencyMasking.html b/main/generated/torchaudio.transforms.FrequencyMasking.html
index 42d169a8431..a40a0c37562 100644
--- a/main/generated/torchaudio.transforms.FrequencyMasking.html
+++ b/main/generated/torchaudio.transforms.FrequencyMasking.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>FrequencyMasking &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>FrequencyMasking &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.transforms.GriffinLim.html b/main/generated/torchaudio.transforms.GriffinLim.html
index 2432d7d89e1..e6c541a1151 100644
--- a/main/generated/torchaudio.transforms.GriffinLim.html
+++ b/main/generated/torchaudio.transforms.GriffinLim.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>GriffinLim &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>GriffinLim &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -485,7 +485,7 @@ <h1>GriffinLim<a class="headerlink" href="#griffinlim" title="Permalink to this
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.GriffinLim.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#GriffinLim.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.GriffinLim.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#GriffinLim.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.GriffinLim.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>specgram</strong> (<em>Tensor</em>) – A magnitude-only STFT spectrogram of dimension (…, freq, frames)
diff --git a/main/generated/torchaudio.transforms.InverseMelScale.html b/main/generated/torchaudio.transforms.InverseMelScale.html
index d027d22f5a7..77c985eb2b4 100644
--- a/main/generated/torchaudio.transforms.InverseMelScale.html
+++ b/main/generated/torchaudio.transforms.InverseMelScale.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>InverseMelScale &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>InverseMelScale &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -475,7 +475,7 @@ <h1>InverseMelScale<a class="headerlink" href="#inversemelscale" title="Permalin
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.InverseMelScale.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">melspec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#InverseMelScale.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.InverseMelScale.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">melspec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#InverseMelScale.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.InverseMelScale.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>melspec</strong> (<em>Tensor</em>) – A Mel frequency spectrogram of dimension (…, <code class="docutils literal notranslate"><span class="pre">n_mels</span></code>, time)</p>
diff --git a/main/generated/torchaudio.transforms.InverseSpectrogram.html b/main/generated/torchaudio.transforms.InverseSpectrogram.html
index 7fddd9dc1aa..9b456b0c5e4 100644
--- a/main/generated/torchaudio.transforms.InverseSpectrogram.html
+++ b/main/generated/torchaudio.transforms.InverseSpectrogram.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>InverseSpectrogram &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>InverseSpectrogram &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -486,7 +486,7 @@ <h1>InverseSpectrogram<a class="headerlink" href="#inversespectrogram" title="Pe
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.InverseSpectrogram.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spectrogram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#InverseSpectrogram.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.InverseSpectrogram.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spectrogram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#InverseSpectrogram.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.InverseSpectrogram.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
diff --git a/main/generated/torchaudio.transforms.LFCC.html b/main/generated/torchaudio.transforms.LFCC.html
index 36771bcd473..470289e8e8c 100644
--- a/main/generated/torchaudio.transforms.LFCC.html
+++ b/main/generated/torchaudio.transforms.LFCC.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>LFCC &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>LFCC &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -490,7 +490,7 @@ <h1>LFCC<a class="headerlink" href="#lfcc" title="Permalink to this heading">¶<
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.LFCC.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#LFCC.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.LFCC.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#LFCC.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.LFCC.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension (…, time).</p>
diff --git a/main/generated/torchaudio.transforms.Loudness.html b/main/generated/torchaudio.transforms.Loudness.html
index 021eec00c57..37461064fbb 100644
--- a/main/generated/torchaudio.transforms.Loudness.html
+++ b/main/generated/torchaudio.transforms.Loudness.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Loudness &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Loudness &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -463,10 +463,10 @@ <h1>Loudness<a class="headerlink" href="#loudness" title="Permalink to this head
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.Loudness.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">wavefrom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Loudness.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Loudness.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">wavefrom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Loudness.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Loudness.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – audio waveform of dimension <cite>(…, channels, time)</cite></p>
+<dd class="field-odd"><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – audio waveform of dimension <cite>(…, channels, time)</cite></p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>loudness estimates (LKFS)</p>
diff --git a/main/generated/torchaudio.transforms.MFCC.html b/main/generated/torchaudio.transforms.MFCC.html
index ee722e3f40d..3b4fa6b1340 100644
--- a/main/generated/torchaudio.transforms.MFCC.html
+++ b/main/generated/torchaudio.transforms.MFCC.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>MFCC &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>MFCC &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -487,7 +487,7 @@ <h1>MFCC<a class="headerlink" href="#mfcc" title="Permalink to this heading">¶<
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.MFCC.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#MFCC.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MFCC.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#MFCC.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MFCC.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension (…, time).</p>
diff --git a/main/generated/torchaudio.transforms.MVDR.html b/main/generated/torchaudio.transforms.MVDR.html
index 0786e52360e..32aa3cb2caf 100644
--- a/main/generated/torchaudio.transforms.MVDR.html
+++ b/main/generated/torchaudio.transforms.MVDR.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>MVDR &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>MVDR &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -498,17 +498,17 @@ <h1>MVDR<a class="headerlink" href="#mvdr" title="Permalink to this heading">¶<
 </div>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.MVDR.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_multi_channel.html#MVDR.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MVDR.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_multi_channel.html#MVDR.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MVDR.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Perform MVDR beamforming.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Multi-channel complex-valued spectrum.
+<li><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Multi-channel complex-valued spectrum.
 Tensor with dimensions <cite>(…, channel, freq, time)</cite></p></li>
-<li><p><strong>mask_s</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Time-Frequency mask of target speech.
+<li><p><strong>mask_s</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Time-Frequency mask of target speech.
 Tensor with dimensions <cite>(…, freq, time)</cite> if multi_mask is <code class="docutils literal notranslate"><span class="pre">False</span></code>
 or with dimensions <cite>(…, channel, freq, time)</cite> if multi_mask is <code class="docutils literal notranslate"><span class="pre">True</span></code>.</p></li>
-<li><p><strong>mask_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Time-Frequency mask of noise.
+<li><p><strong>mask_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Time-Frequency mask of noise.
 Tensor with dimensions <cite>(…, freq, time)</cite> if multi_mask is <code class="docutils literal notranslate"><span class="pre">False</span></code>
 or with dimensions <cite>(…, channel, freq, time)</cite> if multi_mask is <code class="docutils literal notranslate"><span class="pre">True</span></code>.
 (Default: None)</p></li>
@@ -518,7 +518,7 @@ <h1>MVDR<a class="headerlink" href="#mvdr" title="Permalink to this heading">¶<
 <dd class="field-even"><p>Single-channel complex-valued enhanced spectrum with dimensions <cite>(…, freq, time)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.MelScale.html b/main/generated/torchaudio.transforms.MelScale.html
index 9efcc981b39..cbadd2fea27 100644
--- a/main/generated/torchaudio.transforms.MelScale.html
+++ b/main/generated/torchaudio.transforms.MelScale.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>MelScale &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>MelScale &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -475,7 +475,7 @@ <h1>MelScale<a class="headerlink" href="#melscale" title="Permalink to this head
 </div>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.MelScale.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#MelScale.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MelScale.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#MelScale.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MelScale.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>specgram</strong> (<em>Tensor</em>) – A spectrogram STFT of dimension (…, freq, time).</p>
diff --git a/main/generated/torchaudio.transforms.MelSpectrogram.html b/main/generated/torchaudio.transforms.MelSpectrogram.html
index b79177e4c4b..6b8d0ad7a9f 100644
--- a/main/generated/torchaudio.transforms.MelSpectrogram.html
+++ b/main/generated/torchaudio.transforms.MelSpectrogram.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>MelSpectrogram &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>MelSpectrogram &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -504,7 +504,7 @@ <h1>MelSpectrogram<a class="headerlink" href="#melspectrogram" title="Permalink
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.MelSpectrogram.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#MelSpectrogram.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MelSpectrogram.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#MelSpectrogram.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MelSpectrogram.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension (…, time).</p>
diff --git a/main/generated/torchaudio.transforms.MuLawDecoding.html b/main/generated/torchaudio.transforms.MuLawDecoding.html
index 8329297dc86..d829cb09f83 100644
--- a/main/generated/torchaudio.transforms.MuLawDecoding.html
+++ b/main/generated/torchaudio.transforms.MuLawDecoding.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>MuLawDecoding &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>MuLawDecoding &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -463,7 +463,7 @@ <h1>MuLawDecoding<a class="headerlink" href="#mulawdecoding" title="Permalink to
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.MuLawDecoding.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_mu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#MuLawDecoding.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MuLawDecoding.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_mu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#MuLawDecoding.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MuLawDecoding.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>x_mu</strong> (<em>Tensor</em>) – A mu-law encoded signal which needs to be decoded.</p>
diff --git a/main/generated/torchaudio.transforms.MuLawEncoding.html b/main/generated/torchaudio.transforms.MuLawEncoding.html
index a95eeb0a377..e15ba0d5e38 100644
--- a/main/generated/torchaudio.transforms.MuLawEncoding.html
+++ b/main/generated/torchaudio.transforms.MuLawEncoding.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>MuLawEncoding &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>MuLawEncoding &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -463,7 +463,7 @@ <h1>MuLawEncoding<a class="headerlink" href="#mulawencoding" title="Permalink to
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.MuLawEncoding.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#MuLawEncoding.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MuLawEncoding.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#MuLawEncoding.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MuLawEncoding.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>x</strong> (<em>Tensor</em>) – A signal to be encoded.</p>
diff --git a/main/generated/torchaudio.transforms.PSD.html b/main/generated/torchaudio.transforms.PSD.html
index 3b4683bac7e..5acea64483e 100644
--- a/main/generated/torchaudio.transforms.PSD.html
+++ b/main/generated/torchaudio.transforms.PSD.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>PSD &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>PSD &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -461,13 +461,13 @@ <h1>PSD<a class="headerlink" href="#psd" title="Permalink to this heading">¶</a
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.PSD.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/transforms/_multi_channel.html#PSD.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.PSD.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/transforms/_multi_channel.html#PSD.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.PSD.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Multi-channel complex-valued spectrum.
+<li><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Multi-channel complex-valued spectrum.
 Tensor with dimensions <cite>(…, channel, freq, time)</cite>.</p></li>
-<li><p><strong>mask</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Time-Frequency mask for normalization.
+<li><p><strong>mask</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Time-Frequency mask for normalization.
 Tensor with dimensions <cite>(…, freq, time)</cite> if multi_mask is <code class="docutils literal notranslate"><span class="pre">False</span></code> or
 with dimensions <cite>(…, channel, freq, time)</cite> if multi_mask is <code class="docutils literal notranslate"><span class="pre">True</span></code>.
 (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
@@ -481,7 +481,7 @@ <h1>PSD<a class="headerlink" href="#psd" title="Permalink to this heading">¶</a
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.PitchShift.html b/main/generated/torchaudio.transforms.PitchShift.html
index 5f2bcdb4274..cda619ba88b 100644
--- a/main/generated/torchaudio.transforms.PitchShift.html
+++ b/main/generated/torchaudio.transforms.PitchShift.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>PitchShift &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>PitchShift &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -478,7 +478,7 @@ <h1>PitchShift<a class="headerlink" href="#pitchshift" title="Permalink to this
 
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.PitchShift.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#PitchShift.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.PitchShift.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#PitchShift.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.PitchShift.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension <cite>(…, time)</cite>.</p>
diff --git a/main/generated/torchaudio.transforms.Preemphasis.html b/main/generated/torchaudio.transforms.Preemphasis.html
index f45c94c9b53..5219f442c85 100644
--- a/main/generated/torchaudio.transforms.Preemphasis.html
+++ b/main/generated/torchaudio.transforms.Preemphasis.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Preemphasis &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Preemphasis &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -453,16 +453,16 @@ <h1>Preemphasis<a class="headerlink" href="#preemphasis" title="Permalink to thi
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.Preemphasis.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Preemphasis.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Preemphasis.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Preemphasis.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Preemphasis.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Waveform, with shape <cite>(…, N)</cite>.</p>
+<dd class="field-odd"><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Waveform, with shape <cite>(…, N)</cite>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Pre-emphasized waveform, with shape <cite>(…, N)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.RNNTLoss.html b/main/generated/torchaudio.transforms.RNNTLoss.html
index 10cf38b5062..f6411c300c8 100644
--- a/main/generated/torchaudio.transforms.RNNTLoss.html
+++ b/main/generated/torchaudio.transforms.RNNTLoss.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>RNNTLoss &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>RNNTLoss &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -481,7 +481,7 @@ <h1>RNNTLoss<a class="headerlink" href="#rnntloss" title="Permalink to this head
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.RNNTLoss.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logits</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">logit_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#RNNTLoss.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.RNNTLoss.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logits</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">logit_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#RNNTLoss.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.RNNTLoss.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
diff --git a/main/generated/torchaudio.transforms.RTFMVDR.html b/main/generated/torchaudio.transforms.RTFMVDR.html
index 34c9900d093..7d0735ebca1 100644
--- a/main/generated/torchaudio.transforms.RTFMVDR.html
+++ b/main/generated/torchaudio.transforms.RTFMVDR.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>RTFMVDR &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>RTFMVDR &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -470,17 +470,17 @@ <h1>RTFMVDR<a class="headerlink" href="#rtfmvdr" title="Permalink to this headin
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.RTFMVDR.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">rtf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference_channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagonal_loading</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diag_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_multi_channel.html#RTFMVDR.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.RTFMVDR.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">rtf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference_channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagonal_loading</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diag_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_multi_channel.html#RTFMVDR.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.RTFMVDR.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Multi-channel complex-valued spectrum.
+<li><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Multi-channel complex-valued spectrum.
 Tensor with dimensions <cite>(…, channel, freq, time)</cite></p></li>
-<li><p><strong>rtf</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – The complex-valued RTF vector of target speech.
+<li><p><strong>rtf</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – The complex-valued RTF vector of target speech.
 Tensor with dimensions <cite>(…, freq, channel)</cite>.</p></li>
-<li><p><strong>psd_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of noise.
+<li><p><strong>psd_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of noise.
 Tensor with dimensions <cite>(…, freq, channel, channel)</cite>.</p></li>
-<li><p><strong>reference_channel</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Specifies the reference channel.
+<li><p><strong>reference_channel</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Specifies the reference channel.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">int</span></code>, it represents the reference channel index.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">torch.Tensor</span></code>, its shape is <cite>(…, channel)</cite>, where the <code class="docutils literal notranslate"><span class="pre">channel</span></code> dimension
 is one-hot.</p></li>
@@ -496,7 +496,7 @@ <h1>RTFMVDR<a class="headerlink" href="#rtfmvdr" title="Permalink to this headin
 <dd class="field-even"><p>Single-channel complex-valued enhanced spectrum with dimensions <cite>(…, freq, time)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.Resample.html b/main/generated/torchaudio.transforms.Resample.html
index 0f636a0fa37..dcaca967c7c 100644
--- a/main/generated/torchaudio.transforms.Resample.html
+++ b/main/generated/torchaudio.transforms.Resample.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Resample &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Resample &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>Resample<a class="headerlink" href="#resample" title="Permalink to this heading">¶</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="torchaudio.transforms.Resample">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.transforms.</span></span><span class="sig-name descname"><span class="pre">Resample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">orig_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resampling_method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sinc_interp_hann'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lowpass_filter_width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rolloff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.99</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.dtype" title="(in PyTorch v2.2)"><span class="pre">dtype</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Resample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Resample" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.transforms.</span></span><span class="sig-name descname"><span class="pre">Resample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">orig_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resampling_method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sinc_interp_hann'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lowpass_filter_width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rolloff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.99</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.dtype" title="(in PyTorch v2.3)"><span class="pre">dtype</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Resample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Resample" title="Permalink to this definition">¶</a></dt>
 <dd><p>Resample a signal from one frequency to another. A resampling method can be given.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -463,7 +463,7 @@ <h1>Resample<a class="headerlink" href="#resample" title="Permalink to this head
 <li><p><strong>rolloff</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>optional</em>) – The roll-off frequency of the filter, as a fraction of the Nyquist.
 Lower values reduce anti-aliasing, but also reduce some of the highest frequencies. (Default: <code class="docutils literal notranslate"><span class="pre">0.99</span></code>)</p></li>
 <li><p><strong>beta</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – The shape parameter used for kaiser window.</p></li>
-<li><p><strong>dtype</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="(in PyTorch v2.2)"><em>torch.device</em></a><em>, </em><em>optional</em>) – Determnines the precision that resampling kernel is pre-computed and cached. If not provided,
+<li><p><strong>dtype</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="(in PyTorch v2.3)"><em>torch.device</em></a><em>, </em><em>optional</em>) – Determnines the precision that resampling kernel is pre-computed and cached. If not provided,
 kernel is computed with <code class="docutils literal notranslate"><span class="pre">torch.float64</span></code> then cached as <code class="docutils literal notranslate"><span class="pre">torch.float32</span></code>.
 If you need higher precision, provide <code class="docutils literal notranslate"><span class="pre">torch.float64</span></code>, and the pre-computed kernel is computed and
 cached as <code class="docutils literal notranslate"><span class="pre">torch.float64</span></code>. If you use resample with lower precision, then instead of providing this
@@ -489,7 +489,7 @@ <h1>Resample<a class="headerlink" href="#resample" title="Permalink to this head
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.Resample.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Resample.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Resample.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Resample.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Resample.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension (…, time).</p>
diff --git a/main/generated/torchaudio.transforms.SlidingWindowCmn.html b/main/generated/torchaudio.transforms.SlidingWindowCmn.html
index 636d5c2e978..ec7f44b9657 100644
--- a/main/generated/torchaudio.transforms.SlidingWindowCmn.html
+++ b/main/generated/torchaudio.transforms.SlidingWindowCmn.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SlidingWindowCmn &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>SlidingWindowCmn &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -466,7 +466,7 @@ <h1>SlidingWindowCmn<a class="headerlink" href="#slidingwindowcmn" title="Permal
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.SlidingWindowCmn.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#SlidingWindowCmn.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.SlidingWindowCmn.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#SlidingWindowCmn.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.SlidingWindowCmn.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>specgram</strong> (<em>Tensor</em>) – Tensor of spectrogram of dimension <cite>(…, time, freq)</cite>.</p>
diff --git a/main/generated/torchaudio.transforms.SoudenMVDR.html b/main/generated/torchaudio.transforms.SoudenMVDR.html
index be6c102c956..33b08044d5d 100644
--- a/main/generated/torchaudio.transforms.SoudenMVDR.html
+++ b/main/generated/torchaudio.transforms.SoudenMVDR.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SoudenMVDR &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>SoudenMVDR &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -469,17 +469,17 @@ <h1>SoudenMVDR<a class="headerlink" href="#soudenmvdr" title="Permalink to this
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.SoudenMVDR.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference_channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagonal_loading</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diag_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_multi_channel.html#SoudenMVDR.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.SoudenMVDR.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference_channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagonal_loading</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diag_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_multi_channel.html#SoudenMVDR.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.SoudenMVDR.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Multi-channel complex-valued spectrum.
+<li><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Multi-channel complex-valued spectrum.
 Tensor with dimensions <cite>(…, channel, freq, time)</cite>.</p></li>
-<li><p><strong>psd_s</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of target speech.
+<li><p><strong>psd_s</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of target speech.
 Tensor with dimensions <cite>(…, freq, channel, channel)</cite>.</p></li>
-<li><p><strong>psd_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of noise.
+<li><p><strong>psd_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of noise.
 Tensor with dimensions <cite>(…, freq, channel, channel)</cite>.</p></li>
-<li><p><strong>reference_channel</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Specifies the reference channel.
+<li><p><strong>reference_channel</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Specifies the reference channel.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">int</span></code>, it represents the reference channel index.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">torch.Tensor</span></code>, its shape is <cite>(…, channel)</cite>, where the <code class="docutils literal notranslate"><span class="pre">channel</span></code> dimension
 is one-hot.</p></li>
@@ -495,7 +495,7 @@ <h1>SoudenMVDR<a class="headerlink" href="#soudenmvdr" title="Permalink to this
 <dd class="field-even"><p>Single-channel complex-valued enhanced spectrum with dimensions <cite>(…, freq, time)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.SpectralCentroid.html b/main/generated/torchaudio.transforms.SpectralCentroid.html
index 04cadb64183..7c4c43213b9 100644
--- a/main/generated/torchaudio.transforms.SpectralCentroid.html
+++ b/main/generated/torchaudio.transforms.SpectralCentroid.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SpectralCentroid &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>SpectralCentroid &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -470,7 +470,7 @@ <h1>SpectralCentroid<a class="headerlink" href="#spectralcentroid" title="Permal
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.SpectralCentroid.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#SpectralCentroid.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.SpectralCentroid.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#SpectralCentroid.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.SpectralCentroid.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension <cite>(…, time)</cite>.</p>
diff --git a/main/generated/torchaudio.transforms.Spectrogram.html b/main/generated/torchaudio.transforms.Spectrogram.html
index 93fa96c5e0b..d0dc7553613 100644
--- a/main/generated/torchaudio.transforms.Spectrogram.html
+++ b/main/generated/torchaudio.transforms.Spectrogram.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Spectrogram &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Spectrogram &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -497,7 +497,7 @@ <h1>Spectrogram<a class="headerlink" href="#spectrogram" title="Permalink to thi
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.Spectrogram.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Spectrogram.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Spectrogram.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Spectrogram.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Spectrogram.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension (…, time).</p>
diff --git a/main/generated/torchaudio.transforms.Speed.html b/main/generated/torchaudio.transforms.Speed.html
index d38c74531af..954f15fc38f 100644
--- a/main/generated/torchaudio.transforms.Speed.html
+++ b/main/generated/torchaudio.transforms.Speed.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Speed &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Speed &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -455,12 +455,12 @@ <h1>Speed<a class="headerlink" href="#speed" title="Permalink to this heading">
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.Speed.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Speed.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Speed.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Speed.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Speed.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Input signals, with shape <cite>(…, time)</cite>.</p></li>
-<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Valid lengths of signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code>, with shape <cite>(…)</cite>.
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Input signals, with shape <cite>(…, time)</cite>.</p></li>
+<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Valid lengths of signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code>, with shape <cite>(…)</cite>.
 If <code class="docutils literal notranslate"><span class="pre">None</span></code>, all elements in <code class="docutils literal notranslate"><span class="pre">waveform</span></code> are treated as valid. (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 </ul>
 </dd>
@@ -475,7 +475,7 @@ <h1>Speed<a class="headerlink" href="#speed" title="Permalink to this heading">
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a> or None)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a> or None)</p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.SpeedPerturbation.html b/main/generated/torchaudio.transforms.SpeedPerturbation.html
index 95ef7a0f4e4..8bee7df7063 100644
--- a/main/generated/torchaudio.transforms.SpeedPerturbation.html
+++ b/main/generated/torchaudio.transforms.SpeedPerturbation.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SpeedPerturbation &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>SpeedPerturbation &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -467,12 +467,12 @@ <h1>SpeedPerturbation<a class="headerlink" href="#speedperturbation" title="Perm
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.SpeedPerturbation.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#SpeedPerturbation.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.SpeedPerturbation.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#SpeedPerturbation.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.SpeedPerturbation.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a>) – Input signals, with shape <cite>(…, time)</cite>.</p></li>
-<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Valid lengths of signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code>, with shape <cite>(…)</cite>.
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a>) – Input signals, with shape <cite>(…, time)</cite>.</p></li>
+<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Valid lengths of signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code>, with shape <cite>(…)</cite>.
 If <code class="docutils literal notranslate"><span class="pre">None</span></code>, all elements in <code class="docutils literal notranslate"><span class="pre">waveform</span></code> are treated as valid. (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 </ul>
 </dd>
@@ -487,7 +487,7 @@ <h1>SpeedPerturbation<a class="headerlink" href="#speedperturbation" title="Perm
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)">torch.Tensor</a> or None)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)">torch.Tensor</a> or None)</p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.TimeMasking.html b/main/generated/torchaudio.transforms.TimeMasking.html
index e02e6ed15b3..3c65eb9b5e8 100644
--- a/main/generated/torchaudio.transforms.TimeMasking.html
+++ b/main/generated/torchaudio.transforms.TimeMasking.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>TimeMasking &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>TimeMasking &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.transforms.TimeStretch.html b/main/generated/torchaudio.transforms.TimeStretch.html
index cc2bd4a1ec5..6914072d0ea 100644
--- a/main/generated/torchaudio.transforms.TimeStretch.html
+++ b/main/generated/torchaudio.transforms.TimeStretch.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>TimeStretch &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>TimeStretch &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -478,7 +478,7 @@ <h1>TimeStretch<a class="headerlink" href="#timestretch" title="Permalink to thi
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.TimeStretch.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">complex_specgrams</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">overriding_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#TimeStretch.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.TimeStretch.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">complex_specgrams</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">overriding_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#TimeStretch.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.TimeStretch.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
diff --git a/main/generated/torchaudio.transforms.Vad.html b/main/generated/torchaudio.transforms.Vad.html
index 176bd631599..0e436bc31c5 100644
--- a/main/generated/torchaudio.transforms.Vad.html
+++ b/main/generated/torchaudio.transforms.Vad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Vad &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Vad &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -500,7 +500,7 @@ <h1>Vad<a class="headerlink" href="#vad" title="Permalink to this heading">¶</a
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.Vad.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Vad.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Vad.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Vad.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Vad.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension <cite>(channels, time)</cite> or <cite>(time)</cite>
diff --git a/main/generated/torchaudio.transforms.Vol.html b/main/generated/torchaudio.transforms.Vol.html
index 85149dd687f..6ece1731b89 100644
--- a/main/generated/torchaudio.transforms.Vol.html
+++ b/main/generated/torchaudio.transforms.Vol.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Vol &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Vol &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -465,7 +465,7 @@ <h1>Vol<a class="headerlink" href="#vol" title="Permalink to this heading">¶</a
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.Vol.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Vol.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Vol.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Vol.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Vol.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension <cite>(…, time)</cite>.</p>
diff --git a/main/generated/torchaudio.utils.ffmpeg_utils.html b/main/generated/torchaudio.utils.ffmpeg_utils.html
index 5846cbc7202..20b073711a4 100644
--- a/main/generated/torchaudio.utils.ffmpeg_utils.html
+++ b/main/generated/torchaudio.utils.ffmpeg_utils.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ffmpeg_utils &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>ffmpeg_utils &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.utils.sox_utils.html b/main/generated/torchaudio.utils.sox_utils.html
index db19fc2b43c..19102793537 100644
--- a/main/generated/torchaudio.utils.sox_utils.html
+++ b/main/generated/torchaudio.utils.sox_utils.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>sox_utils &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>sox_utils &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torio.io.StreamingMediaDecoder.html b/main/generated/torio.io.StreamingMediaDecoder.html
index 9d72c04e115..c790303986d 100644
--- a/main/generated/torio.io.StreamingMediaDecoder.html
+++ b/main/generated/torio.io.StreamingMediaDecoder.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>StreamingMediaDecoder &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>StreamingMediaDecoder &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -1184,10 +1184,10 @@ <h3>ChunkTensor<a class="headerlink" href="#chunktensor" title="Permalink to thi
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torio.io._streaming_media_decoder.</span></span><span class="sig-name descname"><span class="pre">ChunkTensor</span></span><a class="reference internal" href="../_modules/torio/io/_streaming_media_decoder.html#ChunkTensor"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torio.io._streaming_media_decoder.ChunkTensor" title="Permalink to this definition">¶</a></dt>
 <dd><p>Decoded media frames with metadata.</p>
 <p>The instance of this class represents the decoded video/audio frames with
-metadata, and the instance itself behave like <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tensor</span></code></a>.</p>
+metadata, and the instance itself behave like <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tensor</span></code></a>.</p>
 <p>Client codes can pass instance of this class as-if it’s
-<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tensor</span></code></a> class, or call the methods defined on
-<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tensor</span></code></a> class.</p>
+<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tensor</span></code></a> class, or call the methods defined on
+<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tensor</span></code></a> class.</p>
 <p class="rubric">Example</p>
 <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="c1"># Define input streams</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">reader</span> <span class="o">=</span> <span class="n">StreamingMediaDecoder</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
diff --git a/main/generated/torio.io.StreamingMediaEncoder.html b/main/generated/torio.io.StreamingMediaEncoder.html
index 906bd5b293a..75f2398c6c9 100644
--- a/main/generated/torio.io.StreamingMediaEncoder.html
+++ b/main/generated/torio.io.StreamingMediaEncoder.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>StreamingMediaEncoder &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>StreamingMediaEncoder &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -812,7 +812,7 @@ <h3>write_audio_chunk<a class="headerlink" href="#write-audio-chunk" title="Perm
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torio.io.StreamingMediaEncoder.write_audio_chunk">
-<span class="sig-prename descclassname"><span class="pre">StreamingMediaEncoder.</span></span><span class="sig-name descname"><span class="pre">write_audio_chunk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">i</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pts</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torio/io/_streaming_media_encoder.html#StreamingMediaEncoder.write_audio_chunk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torio.io.StreamingMediaEncoder.write_audio_chunk" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">StreamingMediaEncoder.</span></span><span class="sig-name descname"><span class="pre">write_audio_chunk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">i</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pts</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torio/io/_streaming_media_encoder.html#StreamingMediaEncoder.write_audio_chunk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torio.io.StreamingMediaEncoder.write_audio_chunk" title="Permalink to this definition">¶</a></dt>
 <dd><p>Write audio data</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -840,7 +840,7 @@ <h3>write_video_chunk<a class="headerlink" href="#write-video-chunk" title="Perm
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torio.io.StreamingMediaEncoder.write_video_chunk">
-<span class="sig-prename descclassname"><span class="pre">StreamingMediaEncoder.</span></span><span class="sig-name descname"><span class="pre">write_video_chunk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">i</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pts</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torio/io/_streaming_media_encoder.html#StreamingMediaEncoder.write_video_chunk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torio.io.StreamingMediaEncoder.write_video_chunk" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">StreamingMediaEncoder.</span></span><span class="sig-name descname"><span class="pre">write_video_chunk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">i</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pts</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torio/io/_streaming_media_encoder.html#StreamingMediaEncoder.write_video_chunk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torio.io.StreamingMediaEncoder.write_video_chunk" title="Permalink to this definition">¶</a></dt>
 <dd><p>Write video/image data</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torio.utils.ffmpeg_utils.html b/main/generated/torio.utils.ffmpeg_utils.html
index a7fac14349c..85c599eba5a 100644
--- a/main/generated/torio.utils.ffmpeg_utils.html
+++ b/main/generated/torio.utils.ffmpeg_utils.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ffmpeg_utils &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>ffmpeg_utils &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/genindex.html b/main/genindex.html
index 980901289a0..231a2f91a05 100644
--- a/main/genindex.html
+++ b/main/genindex.html
@@ -9,7 +9,7 @@
   
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Index &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Index &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -221,7 +221,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/index.html b/main/index.html
index 104aee2484c..68580a18be5 100644
--- a/main/index.html
+++ b/main/index.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Torchaudio Documentation &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Torchaudio Documentation &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -223,7 +223,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/installation.html b/main/installation.html
index 502dffeac3f..311aa2eacda 100644
--- a/main/installation.html
+++ b/main/installation.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Installing pre-built binaries &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Installing pre-built binaries &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/io.html b/main/io.html
index 17e0eca5d80..7f5214a283b 100644
--- a/main/io.html
+++ b/main/io.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.io &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.io &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/kaldi_io.html b/main/kaldi_io.html
index 95b90437fa8..aa26d289547 100644
--- a/main/kaldi_io.html
+++ b/main/kaldi_io.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.kaldi_io &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.kaldi_io &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -437,14 +437,14 @@
   <section id="module-torchaudio.kaldi_io">
 <span id="torchaudio-kaldi-io"></span><h1>torchaudio.kaldi_io<a class="headerlink" href="#module-torchaudio.kaldi_io" title="Permalink to this heading">¶</a></h1>
 <p>To use this module, the dependency <a class="reference external" href="https://github.com/vesis84/kaldi-io-for-python">kaldi_io</a> needs to be installed.
-This is a light wrapper around <code class="docutils literal notranslate"><span class="pre">kaldi_io</span></code> that returns <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.Tensor</span></code></a>.</p>
+This is a light wrapper around <code class="docutils literal notranslate"><span class="pre">kaldi_io</span></code> that returns <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.Tensor</span></code></a>.</p>
 <section id="vectors">
 <h2>Vectors<a class="headerlink" href="#vectors" title="Permalink to this heading">¶</a></h2>
 <section id="read-vec-int-ark">
 <h3><span class="hidden-section">read_vec_int_ark</span><a class="headerlink" href="#read-vec-int-ark" title="Permalink to this heading">¶</a></h3>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.kaldi_io.read_vec_int_ark">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.kaldi_io.</span></span><span class="sig-name descname"><span class="pre">read_vec_int_ark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_or_fd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.12)"><span class="pre">Any</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterable" title="(in Python v3.12)"><span class="pre">Iterable</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/torchaudio/kaldi_io.html#read_vec_int_ark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.kaldi_io.read_vec_int_ark" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.kaldi_io.</span></span><span class="sig-name descname"><span class="pre">read_vec_int_ark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_or_fd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.12)"><span class="pre">Any</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterable" title="(in Python v3.12)"><span class="pre">Iterable</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/torchaudio/kaldi_io.html#read_vec_int_ark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.kaldi_io.read_vec_int_ark" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create generator of (key,vector&lt;int&gt;) tuples, which reads from the ark file/stream.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -471,7 +471,7 @@ <h3><span class="hidden-section">read_vec_int_ark</span><a class="headerlink" hr
 <h3><span class="hidden-section">read_vec_flt_scp</span><a class="headerlink" href="#read-vec-flt-scp" title="Permalink to this heading">¶</a></h3>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.kaldi_io.read_vec_flt_scp">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.kaldi_io.</span></span><span class="sig-name descname"><span class="pre">read_vec_flt_scp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_or_fd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.12)"><span class="pre">Any</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterable" title="(in Python v3.12)"><span class="pre">Iterable</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/torchaudio/kaldi_io.html#read_vec_flt_scp"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.kaldi_io.read_vec_flt_scp" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.kaldi_io.</span></span><span class="sig-name descname"><span class="pre">read_vec_flt_scp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_or_fd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.12)"><span class="pre">Any</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterable" title="(in Python v3.12)"><span class="pre">Iterable</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/torchaudio/kaldi_io.html#read_vec_flt_scp"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.kaldi_io.read_vec_flt_scp" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create generator of (key,vector&lt;float32/float64&gt;) tuples, read according to Kaldi scp.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -498,7 +498,7 @@ <h3><span class="hidden-section">read_vec_flt_scp</span><a class="headerlink" hr
 <h3><span class="hidden-section">read_vec_flt_ark</span><a class="headerlink" href="#read-vec-flt-ark" title="Permalink to this heading">¶</a></h3>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.kaldi_io.read_vec_flt_ark">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.kaldi_io.</span></span><span class="sig-name descname"><span class="pre">read_vec_flt_ark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_or_fd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.12)"><span class="pre">Any</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterable" title="(in Python v3.12)"><span class="pre">Iterable</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/torchaudio/kaldi_io.html#read_vec_flt_ark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.kaldi_io.read_vec_flt_ark" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.kaldi_io.</span></span><span class="sig-name descname"><span class="pre">read_vec_flt_ark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_or_fd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.12)"><span class="pre">Any</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterable" title="(in Python v3.12)"><span class="pre">Iterable</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/torchaudio/kaldi_io.html#read_vec_flt_ark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.kaldi_io.read_vec_flt_ark" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create generator of (key,vector&lt;float32/float64&gt;) tuples, which reads from the ark file/stream.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -528,7 +528,7 @@ <h2>Matrices<a class="headerlink" href="#matrices" title="Permalink to this head
 <h3><span class="hidden-section">read_mat_scp</span><a class="headerlink" href="#read-mat-scp" title="Permalink to this heading">¶</a></h3>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.kaldi_io.read_mat_scp">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.kaldi_io.</span></span><span class="sig-name descname"><span class="pre">read_mat_scp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_or_fd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.12)"><span class="pre">Any</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterable" title="(in Python v3.12)"><span class="pre">Iterable</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/torchaudio/kaldi_io.html#read_mat_scp"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.kaldi_io.read_mat_scp" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.kaldi_io.</span></span><span class="sig-name descname"><span class="pre">read_mat_scp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_or_fd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.12)"><span class="pre">Any</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterable" title="(in Python v3.12)"><span class="pre">Iterable</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/torchaudio/kaldi_io.html#read_mat_scp"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.kaldi_io.read_mat_scp" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create generator of (key,matrix&lt;float32/float64&gt;) tuples, read according to Kaldi scp.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -555,7 +555,7 @@ <h3><span class="hidden-section">read_mat_scp</span><a class="headerlink" href="
 <h3><span class="hidden-section">read_mat_ark</span><a class="headerlink" href="#read-mat-ark" title="Permalink to this heading">¶</a></h3>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.kaldi_io.read_mat_ark">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.kaldi_io.</span></span><span class="sig-name descname"><span class="pre">read_mat_ark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_or_fd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.12)"><span class="pre">Any</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterable" title="(in Python v3.12)"><span class="pre">Iterable</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.2)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/torchaudio/kaldi_io.html#read_mat_ark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.kaldi_io.read_mat_ark" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.kaldi_io.</span></span><span class="sig-name descname"><span class="pre">read_mat_ark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_or_fd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.12)"><span class="pre">Any</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterable" title="(in Python v3.12)"><span class="pre">Iterable</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.12)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.3)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/torchaudio/kaldi_io.html#read_mat_ark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.kaldi_io.read_mat_ark" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create generator of (key,matrix&lt;float32/float64&gt;) tuples, which reads from the ark file/stream.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
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index 4d9afbcf74f0438632f598df5183ab74d2903333..78535ce5fd3dea467f563a74defcb646cd7d566b 100644
GIT binary patch
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delta 16
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+++ b/main/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"docnames": ["build", "build.ffmpeg", "build.jetson", "build.linux", "build.windows", "compliance.kaldi", "datasets", "feature_classifications", "functional", "generated/torchaudio.compliance.kaldi.fbank", "generated/torchaudio.compliance.kaldi.mfcc", "generated/torchaudio.compliance.kaldi.spectrogram", "generated/torchaudio.datasets.CMUARCTIC", "generated/torchaudio.datasets.CMUDict", "generated/torchaudio.datasets.COMMONVOICE", "generated/torchaudio.datasets.DR_VCTK", "generated/torchaudio.datasets.FluentSpeechCommands", "generated/torchaudio.datasets.GTZAN", "generated/torchaudio.datasets.IEMOCAP", "generated/torchaudio.datasets.LIBRISPEECH", "generated/torchaudio.datasets.LIBRITTS", "generated/torchaudio.datasets.LJSPEECH", "generated/torchaudio.datasets.LibriLightLimited", "generated/torchaudio.datasets.LibriMix", "generated/torchaudio.datasets.MUSDB_HQ", "generated/torchaudio.datasets.QUESST14", "generated/torchaudio.datasets.SPEECHCOMMANDS", "generated/torchaudio.datasets.Snips", "generated/torchaudio.datasets.TEDLIUM", "generated/torchaudio.datasets.VCTK_092", "generated/torchaudio.datasets.VoxCeleb1Identification", "generated/torchaudio.datasets.VoxCeleb1Verification", "generated/torchaudio.datasets.YESNO", "generated/torchaudio.functional.DB_to_amplitude", "generated/torchaudio.functional.TokenSpan", "generated/torchaudio.functional.add_noise", "generated/torchaudio.functional.allpass_biquad", "generated/torchaudio.functional.amplitude_to_DB", "generated/torchaudio.functional.apply_beamforming", "generated/torchaudio.functional.apply_codec", "generated/torchaudio.functional.band_biquad", "generated/torchaudio.functional.bandpass_biquad", "generated/torchaudio.functional.bandreject_biquad", "generated/torchaudio.functional.bass_biquad", "generated/torchaudio.functional.biquad", "generated/torchaudio.functional.compute_deltas", "generated/torchaudio.functional.contrast", "generated/torchaudio.functional.convolve", "generated/torchaudio.functional.create_dct", "generated/torchaudio.functional.dcshift", "generated/torchaudio.functional.deemph_biquad", "generated/torchaudio.functional.deemphasis", "generated/torchaudio.functional.detect_pitch_frequency", "generated/torchaudio.functional.dither", "generated/torchaudio.functional.edit_distance", "generated/torchaudio.functional.equalizer_biquad", "generated/torchaudio.functional.fftconvolve", "generated/torchaudio.functional.filtfilt", "generated/torchaudio.functional.flanger", "generated/torchaudio.functional.forced_align", "generated/torchaudio.functional.frechet_distance", "generated/torchaudio.functional.gain", "generated/torchaudio.functional.griffinlim", "generated/torchaudio.functional.highpass_biquad", "generated/torchaudio.functional.inverse_spectrogram", "generated/torchaudio.functional.lfilter", "generated/torchaudio.functional.linear_fbanks", "generated/torchaudio.functional.loudness", "generated/torchaudio.functional.lowpass_biquad", "generated/torchaudio.functional.mask_along_axis", "generated/torchaudio.functional.mask_along_axis_iid", "generated/torchaudio.functional.melscale_fbanks", "generated/torchaudio.functional.merge_tokens", "generated/torchaudio.functional.mu_law_decoding", "generated/torchaudio.functional.mu_law_encoding", "generated/torchaudio.functional.mvdr_weights_rtf", "generated/torchaudio.functional.mvdr_weights_souden", "generated/torchaudio.functional.overdrive", "generated/torchaudio.functional.phase_vocoder", "generated/torchaudio.functional.phaser", "generated/torchaudio.functional.pitch_shift", "generated/torchaudio.functional.preemphasis", "generated/torchaudio.functional.psd", "generated/torchaudio.functional.resample", "generated/torchaudio.functional.riaa_biquad", "generated/torchaudio.functional.rnnt_loss", "generated/torchaudio.functional.rtf_evd", "generated/torchaudio.functional.rtf_power", "generated/torchaudio.functional.sliding_window_cmn", "generated/torchaudio.functional.spectral_centroid", "generated/torchaudio.functional.spectrogram", "generated/torchaudio.functional.speed", "generated/torchaudio.functional.treble_biquad", "generated/torchaudio.functional.vad", "generated/torchaudio.info", "generated/torchaudio.io.AudioEffector", "generated/torchaudio.io.StreamReader", "generated/torchaudio.io.StreamWriter", "generated/torchaudio.io.play_audio", "generated/torchaudio.list_audio_backends", "generated/torchaudio.load", "generated/torchaudio.models.Conformer", "generated/torchaudio.models.ConvTasNet", "generated/torchaudio.models.DeepSpeech", "generated/torchaudio.models.Emformer", "generated/torchaudio.models.HDemucs", "generated/torchaudio.models.HuBERTPretrainModel", "generated/torchaudio.models.RNNT", "generated/torchaudio.models.RNNTBeamSearch", "generated/torchaudio.models.SquimObjective", "generated/torchaudio.models.SquimSubjective", "generated/torchaudio.models.Tacotron2", "generated/torchaudio.models.Wav2Letter", "generated/torchaudio.models.Wav2Vec2Model", "generated/torchaudio.models.WaveRNN", "generated/torchaudio.models.conv_tasnet_base", "generated/torchaudio.models.decoder.CTCDecoder", "generated/torchaudio.models.decoder.CUCTCDecoder", "generated/torchaudio.models.decoder.ctc_decoder", "generated/torchaudio.models.decoder.cuda_ctc_decoder", "generated/torchaudio.models.decoder.download_pretrained_files", "generated/torchaudio.models.emformer_rnnt_base", "generated/torchaudio.models.emformer_rnnt_model", "generated/torchaudio.models.hdemucs_high", "generated/torchaudio.models.hdemucs_low", "generated/torchaudio.models.hdemucs_medium", "generated/torchaudio.models.hubert_base", "generated/torchaudio.models.hubert_large", "generated/torchaudio.models.hubert_pretrain_base", "generated/torchaudio.models.hubert_pretrain_large", "generated/torchaudio.models.hubert_pretrain_model", "generated/torchaudio.models.hubert_pretrain_xlarge", "generated/torchaudio.models.hubert_xlarge", "generated/torchaudio.models.squim_objective_base", "generated/torchaudio.models.squim_objective_model", "generated/torchaudio.models.squim_subjective_base", "generated/torchaudio.models.squim_subjective_model", "generated/torchaudio.models.wav2vec2.utils.import_fairseq_model", "generated/torchaudio.models.wav2vec2.utils.import_huggingface_model", "generated/torchaudio.models.wav2vec2_base", "generated/torchaudio.models.wav2vec2_large", "generated/torchaudio.models.wav2vec2_large_lv60k", "generated/torchaudio.models.wav2vec2_model", "generated/torchaudio.models.wav2vec2_xlsr_1b", "generated/torchaudio.models.wav2vec2_xlsr_2b", "generated/torchaudio.models.wav2vec2_xlsr_300m", "generated/torchaudio.models.wavlm_base", "generated/torchaudio.models.wavlm_large", "generated/torchaudio.models.wavlm_model", "generated/torchaudio.pipelines.CONVTASNET_BASE_LIBRI2MIX", "generated/torchaudio.pipelines.EMFORMER_RNNT_BASE_LIBRISPEECH", "generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB", "generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB_PLUS", "generated/torchaudio.pipelines.HUBERT_ASR_LARGE", "generated/torchaudio.pipelines.HUBERT_ASR_XLARGE", "generated/torchaudio.pipelines.HUBERT_BASE", "generated/torchaudio.pipelines.HUBERT_LARGE", "generated/torchaudio.pipelines.HUBERT_XLARGE", "generated/torchaudio.pipelines.MMS_FA", "generated/torchaudio.pipelines.RNNTBundle", "generated/torchaudio.pipelines.RNNTBundle.FeatureExtractor", "generated/torchaudio.pipelines.RNNTBundle.TokenProcessor", "generated/torchaudio.pipelines.SQUIM_OBJECTIVE", "generated/torchaudio.pipelines.SQUIM_SUBJECTIVE", "generated/torchaudio.pipelines.SourceSeparationBundle", "generated/torchaudio.pipelines.SquimObjectiveBundle", "generated/torchaudio.pipelines.SquimSubjectiveBundle", "generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH", "generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH", "generated/torchaudio.pipelines.TACOTRON2_WAVERNN_CHAR_LJSPEECH", "generated/torchaudio.pipelines.TACOTRON2_WAVERNN_PHONE_LJSPEECH", "generated/torchaudio.pipelines.Tacotron2TTSBundle", "generated/torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor", "generated/torchaudio.pipelines.Tacotron2TTSBundle.Vocoder", "generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_DE", "generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_EN", "generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_ES", "generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_FR", "generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_IT", "generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_100H", "generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_10M", "generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_960H", "generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_100H", "generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_10M", "generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_960H", "generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_100H", "generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_10M", "generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_960H", "generated/torchaudio.pipelines.WAV2VEC2_BASE", "generated/torchaudio.pipelines.WAV2VEC2_LARGE", "generated/torchaudio.pipelines.WAV2VEC2_LARGE_LV60K", "generated/torchaudio.pipelines.WAV2VEC2_XLSR53", "generated/torchaudio.pipelines.WAV2VEC2_XLSR_1B", "generated/torchaudio.pipelines.WAV2VEC2_XLSR_2B", "generated/torchaudio.pipelines.WAV2VEC2_XLSR_300M", "generated/torchaudio.pipelines.WAVLM_BASE", "generated/torchaudio.pipelines.WAVLM_BASE_PLUS", "generated/torchaudio.pipelines.WAVLM_LARGE", "generated/torchaudio.pipelines.Wav2Vec2ASRBundle", "generated/torchaudio.pipelines.Wav2Vec2Bundle", "generated/torchaudio.pipelines.Wav2Vec2FABundle", "generated/torchaudio.pipelines.Wav2Vec2FABundle.Aligner", "generated/torchaudio.pipelines.Wav2Vec2FABundle.Tokenizer", "generated/torchaudio.prototype.datasets.Musan", "generated/torchaudio.prototype.functional.adsr_envelope", "generated/torchaudio.prototype.functional.barkscale_fbanks", "generated/torchaudio.prototype.functional.chroma_filterbank", "generated/torchaudio.prototype.functional.extend_pitch", "generated/torchaudio.prototype.functional.filter_waveform", "generated/torchaudio.prototype.functional.frequency_impulse_response", "generated/torchaudio.prototype.functional.oscillator_bank", "generated/torchaudio.prototype.functional.ray_tracing", "generated/torchaudio.prototype.functional.simulate_rir_ism", "generated/torchaudio.prototype.functional.sinc_impulse_response", "generated/torchaudio.prototype.models.ConformerWav2Vec2PretrainModel", "generated/torchaudio.prototype.models.ConvEmformer", "generated/torchaudio.prototype.models.HiFiGANVocoder", "generated/torchaudio.prototype.models.conformer_rnnt_base", "generated/torchaudio.prototype.models.conformer_rnnt_model", "generated/torchaudio.prototype.models.conformer_wav2vec2_base", "generated/torchaudio.prototype.models.conformer_wav2vec2_model", "generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_base", "generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_large", "generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_model", "generated/torchaudio.prototype.models.emformer_hubert_base", "generated/torchaudio.prototype.models.emformer_hubert_model", "generated/torchaudio.prototype.models.hifigan_vocoder", "generated/torchaudio.prototype.models.hifigan_vocoder_v1", "generated/torchaudio.prototype.models.hifigan_vocoder_v2", "generated/torchaudio.prototype.models.hifigan_vocoder_v3", "generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_MUSTC", "generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_TEDLIUM3", "generated/torchaudio.prototype.pipelines.HIFIGAN_VOCODER_V3_LJSPEECH", "generated/torchaudio.prototype.pipelines.HiFiGANVocoderBundle", "generated/torchaudio.prototype.pipelines.VGGISH", "generated/torchaudio.prototype.pipelines.VGGishBundle", "generated/torchaudio.prototype.pipelines.VGGishBundle.VGGish", "generated/torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor", "generated/torchaudio.prototype.transforms.BarkScale", "generated/torchaudio.prototype.transforms.BarkSpectrogram", "generated/torchaudio.prototype.transforms.ChromaScale", "generated/torchaudio.prototype.transforms.ChromaSpectrogram", "generated/torchaudio.prototype.transforms.InverseBarkScale", "generated/torchaudio.save", "generated/torchaudio.sox_effects.apply_effects_file", "generated/torchaudio.sox_effects.apply_effects_tensor", "generated/torchaudio.sox_effects.effect_names", "generated/torchaudio.transforms.AddNoise", "generated/torchaudio.transforms.AmplitudeToDB", "generated/torchaudio.transforms.ComputeDeltas", "generated/torchaudio.transforms.Convolve", "generated/torchaudio.transforms.Deemphasis", "generated/torchaudio.transforms.FFTConvolve", "generated/torchaudio.transforms.Fade", "generated/torchaudio.transforms.FrequencyMasking", "generated/torchaudio.transforms.GriffinLim", "generated/torchaudio.transforms.InverseMelScale", "generated/torchaudio.transforms.InverseSpectrogram", "generated/torchaudio.transforms.LFCC", "generated/torchaudio.transforms.Loudness", "generated/torchaudio.transforms.MFCC", "generated/torchaudio.transforms.MVDR", "generated/torchaudio.transforms.MelScale", "generated/torchaudio.transforms.MelSpectrogram", "generated/torchaudio.transforms.MuLawDecoding", "generated/torchaudio.transforms.MuLawEncoding", "generated/torchaudio.transforms.PSD", "generated/torchaudio.transforms.PitchShift", "generated/torchaudio.transforms.Preemphasis", "generated/torchaudio.transforms.RNNTLoss", "generated/torchaudio.transforms.RTFMVDR", "generated/torchaudio.transforms.Resample", "generated/torchaudio.transforms.SlidingWindowCmn", 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"torio.utils", "transforms", "tutorials/additive_synthesis_tutorial", "tutorials/asr_inference_with_ctc_decoder_tutorial", "tutorials/asr_inference_with_cuda_ctc_decoder_tutorial", "tutorials/audio_data_augmentation_tutorial", "tutorials/audio_datasets_tutorial", "tutorials/audio_feature_augmentation_tutorial", "tutorials/audio_feature_extractions_tutorial", "tutorials/audio_io_tutorial", "tutorials/audio_resampling_tutorial", "tutorials/ctc_forced_alignment_api_tutorial", "tutorials/device_asr", "tutorials/device_avsr", "tutorials/effector_tutorial", "tutorials/filter_design_tutorial", "tutorials/forced_alignment_for_multilingual_data_tutorial", "tutorials/forced_alignment_tutorial", "tutorials/hybrid_demucs_tutorial", "tutorials/mvdr_tutorial", "tutorials/nvdec_tutorial", "tutorials/nvenc_tutorial", "tutorials/online_asr_tutorial", "tutorials/oscillator_tutorial", "tutorials/sg_execution_times", "tutorials/speech_recognition_pipeline_tutorial", "tutorials/squim_tutorial", "tutorials/streamreader_advanced_tutorial", "tutorials/streamreader_basic_tutorial", "tutorials/streamwriter_advanced", "tutorials/streamwriter_basic_tutorial", "tutorials/subtractive_synthesis_tutorial", "tutorials/tacotron2_pipeline_tutorial", "utils"], "filenames": ["build.rst", "build.ffmpeg.rst", "build.jetson.rst", "build.linux.rst", "build.windows.rst", "compliance.kaldi.rst", "datasets.rst", "feature_classifications.rst", "functional.rst", "generated/torchaudio.compliance.kaldi.fbank.rst", "generated/torchaudio.compliance.kaldi.mfcc.rst", "generated/torchaudio.compliance.kaldi.spectrogram.rst", "generated/torchaudio.datasets.CMUARCTIC.rst", "generated/torchaudio.datasets.CMUDict.rst", "generated/torchaudio.datasets.COMMONVOICE.rst", "generated/torchaudio.datasets.DR_VCTK.rst", "generated/torchaudio.datasets.FluentSpeechCommands.rst", "generated/torchaudio.datasets.GTZAN.rst", "generated/torchaudio.datasets.IEMOCAP.rst", "generated/torchaudio.datasets.LIBRISPEECH.rst", "generated/torchaudio.datasets.LIBRITTS.rst", "generated/torchaudio.datasets.LJSPEECH.rst", "generated/torchaudio.datasets.LibriLightLimited.rst", "generated/torchaudio.datasets.LibriMix.rst", "generated/torchaudio.datasets.MUSDB_HQ.rst", "generated/torchaudio.datasets.QUESST14.rst", "generated/torchaudio.datasets.SPEECHCOMMANDS.rst", "generated/torchaudio.datasets.Snips.rst", "generated/torchaudio.datasets.TEDLIUM.rst", "generated/torchaudio.datasets.VCTK_092.rst", "generated/torchaudio.datasets.VoxCeleb1Identification.rst", "generated/torchaudio.datasets.VoxCeleb1Verification.rst", "generated/torchaudio.datasets.YESNO.rst", "generated/torchaudio.functional.DB_to_amplitude.rst", "generated/torchaudio.functional.TokenSpan.rst", "generated/torchaudio.functional.add_noise.rst", "generated/torchaudio.functional.allpass_biquad.rst", "generated/torchaudio.functional.amplitude_to_DB.rst", "generated/torchaudio.functional.apply_beamforming.rst", "generated/torchaudio.functional.apply_codec.rst", "generated/torchaudio.functional.band_biquad.rst", "generated/torchaudio.functional.bandpass_biquad.rst", "generated/torchaudio.functional.bandreject_biquad.rst", "generated/torchaudio.functional.bass_biquad.rst", "generated/torchaudio.functional.biquad.rst", "generated/torchaudio.functional.compute_deltas.rst", "generated/torchaudio.functional.contrast.rst", "generated/torchaudio.functional.convolve.rst", "generated/torchaudio.functional.create_dct.rst", "generated/torchaudio.functional.dcshift.rst", "generated/torchaudio.functional.deemph_biquad.rst", "generated/torchaudio.functional.deemphasis.rst", "generated/torchaudio.functional.detect_pitch_frequency.rst", "generated/torchaudio.functional.dither.rst", "generated/torchaudio.functional.edit_distance.rst", "generated/torchaudio.functional.equalizer_biquad.rst", "generated/torchaudio.functional.fftconvolve.rst", "generated/torchaudio.functional.filtfilt.rst", "generated/torchaudio.functional.flanger.rst", "generated/torchaudio.functional.forced_align.rst", "generated/torchaudio.functional.frechet_distance.rst", "generated/torchaudio.functional.gain.rst", "generated/torchaudio.functional.griffinlim.rst", "generated/torchaudio.functional.highpass_biquad.rst", "generated/torchaudio.functional.inverse_spectrogram.rst", "generated/torchaudio.functional.lfilter.rst", "generated/torchaudio.functional.linear_fbanks.rst", "generated/torchaudio.functional.loudness.rst", "generated/torchaudio.functional.lowpass_biquad.rst", "generated/torchaudio.functional.mask_along_axis.rst", "generated/torchaudio.functional.mask_along_axis_iid.rst", "generated/torchaudio.functional.melscale_fbanks.rst", "generated/torchaudio.functional.merge_tokens.rst", "generated/torchaudio.functional.mu_law_decoding.rst", "generated/torchaudio.functional.mu_law_encoding.rst", "generated/torchaudio.functional.mvdr_weights_rtf.rst", "generated/torchaudio.functional.mvdr_weights_souden.rst", "generated/torchaudio.functional.overdrive.rst", "generated/torchaudio.functional.phase_vocoder.rst", "generated/torchaudio.functional.phaser.rst", "generated/torchaudio.functional.pitch_shift.rst", "generated/torchaudio.functional.preemphasis.rst", "generated/torchaudio.functional.psd.rst", "generated/torchaudio.functional.resample.rst", "generated/torchaudio.functional.riaa_biquad.rst", "generated/torchaudio.functional.rnnt_loss.rst", "generated/torchaudio.functional.rtf_evd.rst", "generated/torchaudio.functional.rtf_power.rst", "generated/torchaudio.functional.sliding_window_cmn.rst", "generated/torchaudio.functional.spectral_centroid.rst", "generated/torchaudio.functional.spectrogram.rst", "generated/torchaudio.functional.speed.rst", "generated/torchaudio.functional.treble_biquad.rst", "generated/torchaudio.functional.vad.rst", "generated/torchaudio.info.rst", "generated/torchaudio.io.AudioEffector.rst", "generated/torchaudio.io.StreamReader.rst", "generated/torchaudio.io.StreamWriter.rst", "generated/torchaudio.io.play_audio.rst", "generated/torchaudio.list_audio_backends.rst", "generated/torchaudio.load.rst", "generated/torchaudio.models.Conformer.rst", "generated/torchaudio.models.ConvTasNet.rst", "generated/torchaudio.models.DeepSpeech.rst", "generated/torchaudio.models.Emformer.rst", "generated/torchaudio.models.HDemucs.rst", "generated/torchaudio.models.HuBERTPretrainModel.rst", "generated/torchaudio.models.RNNT.rst", "generated/torchaudio.models.RNNTBeamSearch.rst", "generated/torchaudio.models.SquimObjective.rst", "generated/torchaudio.models.SquimSubjective.rst", "generated/torchaudio.models.Tacotron2.rst", "generated/torchaudio.models.Wav2Letter.rst", "generated/torchaudio.models.Wav2Vec2Model.rst", "generated/torchaudio.models.WaveRNN.rst", "generated/torchaudio.models.conv_tasnet_base.rst", "generated/torchaudio.models.decoder.CTCDecoder.rst", 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47, 56, 69, 70, 75, 76, 87, 88, 94, 100, 102, 104, 105, 106, 107, 109, 113, 116, 122, 136, 200, 207, 208, 214, 215, 216, 218, 225, 232, 233, 243, 244, 250, 252, 253, 261, 270, 271, 272, 273, 284, 285, 288, 292, 293, 313, 314, 318, 319, 320, 321, 324, 326, 327, 330, 331, 332, 335, 337, 340, 341], "n11": 1, "tag": [1, 7, 292, 322, 323, 324, 330, 331, 332, 337, 338, 339, 340], "git": [1, 2, 3, 4], "clone": [1, 2, 4, 304, 327], "videolan": 1, "org": [1, 3, 4, 32, 36, 40, 41, 42, 43, 44, 50, 55, 57, 63, 68, 84, 92, 95, 159, 165, 166, 233, 248, 284, 285, 288, 304, 308, 312, 313, 319, 322, 324, 325, 326, 332, 333, 335, 336, 337, 338, 339, 341, 342], "nv": 1, "cd": [1, 2, 3, 4, 50], "checkout": [1, 4], "10": [1, 9, 10, 11, 35, 37, 52, 58, 82, 101, 105, 114, 119, 128, 129, 130, 131, 142, 159, 169, 170, 171, 180, 183, 186, 196, 197, 200, 207, 211, 215, 243, 244, 271, 284, 285, 288, 292, 304, 312, 313, 314, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 332, 333, 334, 335, 336, 337, 338, 340, 341, 342], "sudo": [1, 2], "locat": [1, 3, 4, 14, 16, 288, 319, 323, 327, 328, 340], "chang": [1, 7, 9, 10, 39, 78, 100, 105, 115, 200, 243, 244, 245, 279, 280, 282, 283, 284, 285, 286, 292, 293, 298, 304, 307, 315, 318, 319, 325, 327, 328, 330, 331, 337, 338, 340, 341, 342], "prefix": [1, 2, 282, 286], "desired_directori": 1, "remot": [1, 338], "enumer": [1, 164, 318, 321, 327, 330, 331, 332, 335, 338, 342], "object": [1, 16, 94, 100, 109, 120, 137, 138, 148, 159, 165, 166, 171, 198, 199, 200, 233, 239, 241, 243, 244, 245, 255, 257, 263, 267, 274, 275, 284, 285, 287, 292, 293, 307, 318, 321, 322, 329, 335, 342], "819": 1, "done": [1, 64, 284, 297, 327, 336], "count": [1, 314], "100": [1, 9, 10, 19, 20, 23, 43, 46, 58, 77, 88, 108, 128, 153, 154, 155, 159, 164, 165, 166, 171, 179, 180, 181, 182, 183, 184, 185, 187, 188, 189, 198, 199, 200, 221, 222, 233, 239, 255, 257, 272, 282, 286, 313, 314, 315, 316, 319, 320, 321, 322, 324, 325, 327, 328, 329, 330, 331, 332, 335, 336, 340, 342], "compress": [1, 39, 46, 91, 95, 105, 243, 276, 277, 284, 285, 319], "697": 1, "total": [1, 9, 10, 11, 118, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342], "delta": [1, 45, 249, 320, 325], "439": 1, "reus": [1, 83], "receiv": [1, 112, 338, 339], "156": [1, 321, 327], "42": [1, 9, 10, 11, 159, 304, 313, 319, 320, 321, 327, 336, 338, 342], "kib": 1, "410": 1, "resolv": [1, 314, 321], "out": [1, 4, 105, 253, 271, 294, 311, 314, 320, 322, 323, 327, 328, 332, 342], "detach": [1, 321, 326, 327, 328, 342], "head": [1, 101, 104, 122, 130, 134, 142, 215, 218, 220, 223, 225, 314], "state": [1, 104, 107, 108, 116, 159, 215, 284, 310, 313, 322, 323, 332, 343], "experiment": 1, "commit": [1, 7], "discard": [1, 284], "ani": [1, 23, 93, 280, 284, 290, 292, 314, 319, 321, 332, 337], "impact": 1, "branch": [1, 105, 109], "anoth": [1, 271, 314, 320, 326, 328, 332], "If": [1, 3, 4, 9, 10, 11, 17, 18, 23, 24, 25, 27, 33, 35, 37, 39, 40, 41, 54, 57, 64, 65, 71, 75, 76, 79, 80, 82, 85, 87, 88, 90, 91, 94, 95, 98, 100, 106, 108, 111, 113, 114, 116, 118, 119, 130, 142, 171, 200, 206, 207, 208, 210, 211, 212, 213, 214, 220, 223, 225, 238, 240, 241, 243, 244, 256, 257, 261, 262, 263, 266, 267, 269, 270, 271, 272, 273, 275, 276, 277, 279, 281, 284, 285, 287, 288, 292, 293, 294, 306, 307, 308, 313, 319, 322, 323, 327, 330, 332, 335, 337, 338, 340], "want": [1, 3, 4, 54, 93, 280, 294, 306, 308, 314, 322, 326, 335, 338, 340], "creat": [1, 9, 10, 11, 23, 48, 62, 64, 66, 71, 80, 90, 116, 171, 200, 205, 206, 209, 213, 239, 241, 245, 255, 257, 258, 260, 263, 267, 274, 275, 288, 290, 313, 320, 321, 322, 323, 325, 328, 330, 332, 333, 340, 341, 342], "new": [1, 4, 83, 95, 116, 245, 301, 307, 314, 321, 331], "retain": [1, 48, 258, 260, 271], "mai": [1, 7, 37, 54, 62, 93, 94, 100, 167, 168, 169, 170, 248, 255, 258, 260, 261, 271, 280, 282, 284, 286, 292, 306, 313, 314, 319, 322, 329, 332, 338, 340], "do": [1, 3, 4, 9, 10, 11, 267, 284, 294, 304, 308, 314, 319, 322, 326, 328, 330, 331, 332, 333, 337, 338], "now": [1, 2, 4, 244, 282, 286, 312, 313, 314, 320, 321, 326, 327, 330, 331, 333, 335, 338, 339, 340], "b": [1, 59, 62, 67, 101, 102, 104, 107, 118, 119, 198, 200, 215, 255, 259, 284, 285, 304, 313, 314, 315, 316, 319, 321, 324, 326, 327, 328, 329, 330, 332, 335, 336, 337, 340, 342], "command": [1, 2, 4, 16, 26, 243, 244, 245, 284, 285, 292, 293, 304, 315, 322, 326, 330, 338, 339, 340, 342], "again": [1, 292, 314, 318, 332, 335, 339], "exampl": [1, 6, 30, 31, 45, 59, 69, 72, 78, 95, 101, 104, 111, 112, 114, 116, 118, 119, 137, 138, 159, 164, 165, 166, 167, 168, 169, 170, 171, 198, 199, 200, 204, 207, 215, 232, 233, 235, 237, 238, 239, 240, 241, 242, 244, 245, 246, 248, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 267, 269, 271, 272, 274, 275, 277, 278, 279, 280, 281, 282, 284, 285, 286, 288, 290, 292, 293, 294, 297, 304, 306, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 339, 341, 342], "315ad74": 1, "add": [1, 2, 4, 9, 10, 35, 75, 76, 82, 88, 105, 207, 244, 245, 247, 253, 266, 267, 270, 272, 273, 284, 285, 293, 312, 313, 315, 322, 328, 330, 340, 342], "cumemcpi": 1, "sed": [1, 313], "usr": [1, 2], "local": [1, 2, 3, 4, 288, 308, 312, 319, 320, 325, 328, 333, 341], "ffnvcodec": 1, "pc": 1, "0755": 1, "d": [1, 2, 32, 59, 104, 105, 107, 108, 151, 152, 159, 171, 198, 200, 208, 212, 215, 287, 290, 304, 313, 314, 321, 324, 326, 327, 333, 335, 339, 340, 342], "includ": [1, 2, 4, 10, 18, 27, 59, 93, 130, 142, 214, 280, 284, 292, 313, 314, 319, 321, 326, 328], "0644": 1, "h": [1, 38, 75, 102, 171, 198, 200, 261, 270, 273, 284, 285, 292, 293, 304, 313, 314, 321, 325, 326, 327, 330, 335, 336, 337, 338, 342], "lib": [1, 2, 4, 342], "pkgconfig": 1, "next": [1, 159, 313, 314, 321, 322, 323, 325, 326, 327, 328, 330, 332, 333, 335, 337, 340], "dure": [1, 106, 108, 130, 142, 214, 285, 292, 297, 306, 332], "minimum": [1, 9, 10, 11, 23, 37, 66, 71, 75, 76, 88, 130, 205, 223, 238, 239, 242, 248, 256, 258, 261, 262, 263, 270, 272, 273, 329, 330, 340], "yasm": [1, 4], "addition": [1, 284, 297, 320, 333], "h264": [1, 284, 285, 330, 338], "protocol": [1, 282, 285, 286, 293, 307], "which": [1, 2, 4, 6, 17, 18, 22, 23, 33, 47, 56, 69, 70, 91, 94, 95, 105, 109, 110, 111, 114, 122, 142, 165, 166, 171, 198, 199, 200, 204, 210, 211, 212, 216, 218, 225, 232, 233, 250, 252, 256, 264, 276, 277, 282, 283, 284, 285, 286, 288, 290, 292, 293, 297, 307, 312, 313, 314, 315, 317, 319, 320, 321, 322, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 337, 338, 339, 340, 341, 342], "verifi": [1, 2, 306], "apt": [1, 2], "qq": 1, "updat": [1, 2, 4, 261, 327], "y": [1, 35, 38, 44, 47, 51, 56, 60, 81, 198, 200, 250, 252, 261, 270, 273, 284, 287, 304, 313, 314, 318, 320, 321, 326, 327, 330, 332, 335, 336, 337], "libx264": [1, 2, 282, 286, 331, 340], "dev": [1, 2, 14, 19, 20, 23, 25, 28, 30], "libgnutls28": 1, "omit": [1, 284, 338], "breviti": 1, "strip": [1, 2, 313, 326], "libavutil": [1, 2, 282, 286, 288, 324, 330, 331, 340], "share": [1, 2, 282, 286, 297], "set": [1, 3, 4, 9, 10, 11, 17, 23, 24, 44, 62, 75, 76, 85, 87, 93, 95, 102, 115, 118, 122, 151, 152, 164, 168, 208, 212, 218, 255, 261, 269, 270, 273, 280, 282, 283, 284, 285, 286, 288, 292, 293, 297, 304, 307, 312, 318, 320, 325, 326, 327, 328, 331, 333, 335, 337, 338, 339, 342], "up": [1, 2, 4, 78, 98, 103, 119, 207, 208, 277, 279, 284, 304, 307, 312, 315, 318, 319, 322, 323, 327, 332, 335], "amd64": 1, "152": [1, 321, 327], "2854": 1, "gite9a5903": 1, "3": [1, 18, 28, 30, 70, 78, 79, 87, 102, 111, 120, 130, 142, 159, 200, 207, 211, 212, 216, 221, 222, 231, 243, 282, 283, 284, 285, 286, 288, 292, 304, 307, 311, 312, 313, 314, 316, 317, 318, 320, 321, 324, 325, 326, 327, 330, 331, 333, 335, 337, 338, 340, 342], "2build1": 1, "libunbound2": 1, "1ubuntu2": 1, "libp11": 1, "kit": 1, "23": [1, 9, 10, 171, 174, 175, 176, 177, 178, 200, 260, 304, 313, 320, 321, 326, 327, 330, 342], "9": [1, 165, 200, 207, 277, 279, 285, 288, 304, 312, 313, 314, 315, 317, 321, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 337, 340, 341, 342], "2ubuntu0": 1, "libtasn1": 1, "libgnutlsxx28": 1, "18": [1, 200, 207, 233, 304, 313, 321, 326, 327, 328, 334, 335, 337, 342], "1ubuntu1": 1, "libgnutl": 1, "dane0": 1, "openssl27": 1, "libgmpxx4ldbl": 1, "dfsg": 1, "libidn2": 1, "1ubuntu0": 1, "libgmp": 1, "nettl": 1, "0ubuntu0": [1, 2], "trigger": [1, 93, 280, 284, 340], "man": [1, 314, 332], "db": [1, 33, 35, 43, 55, 58, 61, 77, 79, 92, 244, 247, 258, 260, 281, 329, 336, 341], "8": [1, 2, 4, 75, 76, 95, 100, 102, 104, 105, 114, 124, 128, 129, 131, 169, 170, 200, 207, 215, 242, 243, 269, 270, 273, 282, 284, 286, 288, 292, 304, 311, 312, 313, 314, 316, 321, 323, 324, 325, 326, 327, 328, 329, 330, 331, 335, 337, 338, 340, 341, 342], "libc": 1, "bin": [1, 2, 4, 9, 10, 38, 62, 71, 78, 80, 90, 105, 111, 114, 118, 173, 205, 206, 211, 238, 239, 240, 241, 242, 255, 256, 257, 262, 263, 267, 270, 273, 274, 275, 282, 286, 297, 304, 313, 318, 326], "27": [1, 171, 200, 304, 313, 321, 326, 327, 328, 330, 331, 332, 333, 338, 342], "3ubuntu1": 1, "download": [1, 2, 4, 6, 12, 13, 15, 17, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 120, 159, 165, 166, 171, 198, 199, 200, 233, 235, 288, 294, 312, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "sourc": [1, 2, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 151, 152, 153, 154, 155, 156, 157, 159, 164, 165, 166, 171, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 233, 235, 238, 239, 240, 241, 242, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 290, 292, 304, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 339, 340, 341, 342], "wget": [1, 2], "q": [1, 36, 40, 41, 42, 43, 55, 63, 68, 92, 198, 200, 304, 313, 314, 321, 322, 323, 326, 327, 335, 339, 341], "archiv": 1, "ref": [1, 33, 328], "n4": [1, 288], "tar": [1, 17, 21, 32, 319], "gz": [1, 17, 32, 319], "xf": 1, "provid": [1, 2, 3, 4, 64, 95, 100, 106, 113, 114, 116, 130, 142, 159, 165, 166, 171, 198, 199, 200, 214, 220, 223, 225, 233, 243, 244, 261, 271, 279, 284, 285, 287, 292, 293, 295, 298, 301, 307, 313, 314, 315, 316, 318, 319, 320, 321, 322, 324, 327, 328, 330, 331, 335, 336, 337, 338, 339, 340, 342], "flag": [1, 7], "like": [1, 3, 4, 7, 94, 100, 158, 165, 166, 207, 233, 243, 244, 283, 284, 285, 297, 306, 307, 313, 314, 315, 320, 326, 330, 331, 335, 342], "l": [1, 35, 47, 56, 59, 102, 116, 117, 171, 198, 200, 247, 250, 252, 304, 313, 314, 321, 325, 326, 327, 335, 342], "lib64": 1, "let": [1, 284, 285, 292, 314, 315, 318, 321, 325, 326, 327, 330, 331, 333, 335, 338, 341], "know": [1, 314, 319, 330, 331, 338], "where": [1, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 38, 45, 47, 56, 59, 62, 69, 70, 75, 76, 87, 95, 100, 116, 117, 203, 208, 211, 212, 216, 233, 250, 252, 255, 261, 270, 273, 275, 279, 284, 285, 293, 312, 313, 314, 319, 320, 327, 330, 333, 336, 338], "nvcc": 1, "75": [1, 46, 313, 320, 321, 324, 327, 328, 330, 332, 335, 336, 337, 342], "script": [1, 4, 18, 149, 150, 167, 168, 169, 170, 230, 231, 245, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "sampl": [1, 2, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 39, 40, 41, 42, 43, 50, 52, 55, 58, 63, 66, 67, 68, 69, 70, 71, 79, 80, 84, 89, 92, 93, 94, 95, 98, 100, 108, 111, 114, 123, 124, 125, 159, 164, 165, 166, 172, 173, 198, 199, 200, 203, 205, 206, 210, 212, 214, 221, 222, 223, 233, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 254, 256, 258, 259, 260, 262, 263, 267, 274, 277, 278, 280, 284, 285, 292, 293, 297, 313, 314, 315, 316, 318, 319, 320, 322, 328, 332, 333, 335, 338, 339, 340, 342], "By": [1, 2, 3, 4, 100, 258, 260, 318, 319, 320, 330, 337, 338, 339, 340, 341], "old": [1, 284, 292, 314, 338], "30": [1, 52, 58, 78, 171, 313, 314, 315, 321, 323, 327, 328, 330, 332, 337, 338, 340, 342], "longer": [1, 320, 328], "correct": [1, 94, 243, 282, 286, 288, 306, 319, 327], "ccap": 1, "extra": [1, 2, 9, 10, 131, 132, 142, 152, 154, 157, 179, 180, 181, 182, 183, 184, 185, 186, 187, 225, 307, 321, 328, 331, 336], "cflag": 1, "ldflag": 1, "nvccflag": 1, "gencod": 1, "arch": [1, 2, 282, 286], "compute_": 1, "sm_": 1, "o2": 1, "aac": [1, 282, 286, 338, 339], "h264_cuvid": [1, 284, 292, 330], "rawvideo": [1, 323, 337], "indev": [1, 322, 337], "lavfi": [1, 282, 286, 292, 330, 331, 337, 339], "h264_nvenc": [1, 285, 293, 331], "demux": [1, 282, 284, 286, 339], "mov": [1, 340], "muxer": [1, 282, 285, 286, 293, 339, 340], "mp4": [1, 285, 292, 307, 330, 331, 337, 338, 339, 340], "filter": [1, 2, 36, 40, 41, 42, 44, 50, 53, 55, 57, 63, 65, 66, 68, 71, 83, 95, 111, 205, 206, 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56, 245, 250, 252, 313, 314, 319, 331], "either": [1, 4, 29, 48, 57, 58, 65, 90, 118, 171, 243, 261, 285, 293, 313, 314, 324, 338, 342], "src": [1, 243, 284, 292, 312, 315, 317, 318, 319, 321, 322, 323, 324, 327, 330, 331, 332, 335, 336, 337, 338, 339, 340], "asset": [1, 313, 314, 315, 317, 318, 319, 321, 323, 324, 326, 327, 328, 329, 330, 332, 335, 336, 337, 338, 339, 340], "stream": [1, 104, 107, 108, 122, 150, 159, 215, 230, 231, 261, 285, 287, 290, 291, 293, 298, 304, 319, 322, 323, 324, 330, 331], "nasas_most_scientifically_complex_space_observatory_requires_precis": [1, 330, 337, 338, 339], "mp4_small": [1, 330, 339], "vsync": 1, "hwaccel_output_format": 1, "resiz": [1, 293, 323], "360x240": 1, "copi": [1, 288, 330, 340], "5m": [1, 313, 321, 328, 332, 335, 336, 342], "mean": [1, 9, 10, 11, 26, 30, 31, 60, 66, 71, 85, 88, 106, 110, 148, 205, 210, 269, 272, 306, 314, 318, 320, 323, 327, 328, 329, 330, 331, 337, 340, 342], "input": [1, 9, 10, 11, 33, 35, 37, 39, 44, 47, 54, 56, 59, 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102, 103, 104, 105, 106, 107, 108, 111, 113, 114, 115, 116, 117, 136, 143, 144, 145, 146, 147, 148, 159, 160, 198, 200, 201, 204, 206, 210, 211, 212, 215, 218, 219, 220, 221, 222, 223, 224, 225, 236, 248, 252, 255, 257, 258, 260, 261, 269, 271, 280, 282, 284, 285, 286, 292, 293, 313, 314, 315, 321, 326, 328, 329, 330, 331, 335, 336, 337, 339, 342], "progress": [1, 342], "31": [1, 101, 111, 171, 313, 315, 320, 321, 326, 327, 328, 330, 336, 342], "5000": [1, 207, 320], "lavc58": 1, "134": [1, 313, 321, 327, 334], "side": [1, 64, 89, 90, 239, 241, 257, 263, 274, 275, 314, 328, 340], "cpb": 1, "max": [1, 23, 37, 47, 56, 58, 59, 85, 101, 104, 107, 111, 118, 172, 173, 212, 215, 250, 252, 269, 312, 327, 333, 341], "min": [1, 23, 47, 56, 69, 70, 250, 252, 313, 336], "avg": 1, "5000000": 1, "buffer": [1, 94, 100, 243, 283, 284, 285, 292, 293, 319, 331, 338, 340], "10000000": 1, "vbv_delai": 1, "frame": [1, 9, 10, 11, 24, 52, 62, 64, 78, 80, 88, 89, 90, 94, 95, 100, 101, 102, 104, 106, 107, 108, 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279, 314, 315, 320, 330, 331], "57": [1, 304, 313, 314, 321, 327, 328, 331, 338, 342], "1x": 1, "34502kb": 1, "3234kb": 1, "subtitl": [1, 284, 292], "0kb": 1, "other": [1, 4, 9, 10, 14, 19, 20, 24, 39, 93, 100, 105, 153, 154, 155, 158, 179, 180, 181, 182, 183, 184, 187, 188, 189, 198, 199, 200, 244, 245, 261, 280, 284, 288, 292, 297, 304, 313, 314, 318, 319, 321, 323, 327, 328, 330, 332, 335, 338, 340], "global": [1, 204, 285, 307, 310, 320, 322, 332, 343], "mux": [1, 339], "overhead": [1, 322, 330], "526932": 1, "onc": [1, 95, 271, 284, 285, 292, 319, 323, 324, 327, 328, 335, 338, 340, 342], "properli": [1, 284, 322], "pick": [1, 285, 319, 327, 335], "correctli": [1, 306, 330, 331, 342], "There": [1, 288, 294, 313, 319, 321, 323, 326, 327, 333, 335, 338, 339], "queri": [1, 287, 291, 304, 310], "ffmpeg_util": [1, 2, 100, 243, 324, 330, 331, 340], "get_video_decod": [1, 284, 330], "get_video_encod": [1, 285, 331], "often": [1, 4, 330, 331, 335, 340], "case": [1, 4, 94, 165, 166, 208, 233, 284, 285, 292, 293, 297, 304, 306, 319, 320, 321, 322, 327, 330, 331, 333, 338, 340, 342], "multipl": [1, 3, 4, 6, 79, 83, 95, 191, 192, 193, 194, 285, 288, 293, 307, 319, 320, 321, 323, 325, 326, 327, 330, 335, 337, 338, 340], "load": [1, 6, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 75, 76, 87, 114, 137, 138, 164, 165, 166, 198, 199, 200, 203, 233, 235, 238, 239, 240, 241, 242, 244, 245, 248, 253, 256, 258, 259, 260, 261, 262, 263, 264, 265, 267, 270, 271, 272, 273, 274, 275, 280, 281, 282, 284, 287, 305, 313, 314, 315, 318, 320, 321, 323, 324, 326, 327, 328, 330, 338, 339, 340, 342], "differ": [1, 4, 23, 37, 57, 65, 95, 106, 113, 114, 158, 165, 166, 171, 198, 199, 200, 208, 210, 232, 233, 242, 243, 244, 245, 248, 254, 258, 260, 278, 284, 285, 288, 292, 297, 306, 307, 312, 313, 314, 315, 318, 319, 321, 322, 323, 325, 328, 330, 331, 333, 335, 336, 337, 338, 339, 340, 342], "than": [1, 39, 49, 56, 91, 100, 101, 208, 220, 223, 244, 252, 271, 276, 277, 284, 285, 292, 313, 314, 320, 321, 322, 330, 331, 332, 335, 340], "expect": [1, 7, 9, 10, 11, 37, 62, 73, 74, 78, 98, 118, 119, 122, 134, 159, 165, 166, 173, 198, 199, 200, 235, 255, 264, 279, 284, 285, 293, 313, 322, 326, 328, 331, 332, 335, 338, 340, 342], "get_build_config": [1, 2], "get_vers": [1, 324, 330, 331, 340], "get": [1, 2, 3, 4, 9, 10, 16, 18, 19, 23, 25, 26, 27, 30, 31, 94, 116, 200, 203, 244, 246, 261, 282, 283, 284, 286, 288, 292, 308, 312, 313, 314, 318, 319, 320, 321, 322, 323, 325, 329, 333, 335, 336, 338, 339, 340, 341], "inform": [1, 4, 94, 165, 166, 171, 198, 199, 200, 210, 233, 282, 284, 286, 292, 297, 298, 304, 307, 323, 332, 335, 338], "about": [1, 284, 292, 313, 314, 338, 339, 342], "import": [1, 2, 137, 138, 159, 164, 165, 166, 171, 198, 199, 200, 233, 235, 271, 298, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "print": [1, 2, 159, 164, 165, 166, 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200, 208, 233, 239, 241, 243, 255, 261, 263, 275, 277, 280, 282, 284, 285, 286, 287, 292, 293, 298, 304, 313, 314, 318, 319, 321, 322, 323, 326, 327, 335, 336, 338, 339, 342], "pep517": [2, 3, 4], "2ead941": 2, "aarch64": [2, 3], "folllow": 3, "en": [3, 4, 36, 40, 41, 42, 43, 44, 55, 63, 67, 68, 92, 175, 259, 304, 312, 314, 325, 332, 338, 341], "miniconda": [3, 4], "select": [3, 26, 94, 100, 243, 261, 304, 307, 329, 337, 341], "version": [3, 4, 15, 28, 59, 95, 115, 121, 123, 124, 125, 210, 217, 234, 282, 286, 288, 304, 312, 323, 328, 330, 331, 339, 340, 342], "nightli": [3, 4, 312, 325, 333, 336, 341], "setup": [3, 4, 320], "due": [3, 4, 29, 130, 284, 292, 323, 328], "complex": [3, 4, 38, 64, 75, 76, 78, 82, 86, 87, 90, 130, 223, 257, 261, 266, 270, 273, 275, 279, 284, 295, 301, 304, 320, 329], "place": [3, 4, 208, 284, 292, 314, 320, 330], "pip": [3, 4, 288, 317, 318, 319, 323], "tri": [3, 4], "architectur": [3, 4, 101, 102, 103, 104, 112, 143, 144, 145, 146, 147, 148, 153, 154, 155, 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52, 53, 55, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 71, 77, 79, 80, 81, 83, 84, 89, 90, 91, 92, 93, 95, 98, 102, 105, 106, 109, 110, 112, 113, 114, 137, 138, 159, 165, 166, 169, 170, 171, 173, 198, 199, 200, 203, 205, 208, 210, 212, 232, 233, 235, 237, 238, 239, 240, 241, 242, 244, 245, 247, 248, 251, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 267, 268, 271, 272, 274, 275, 276, 277, 278, 279, 280, 281, 285, 287, 293, 297, 302, 304, 306, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 324, 326, 327, 328, 329, 332, 333, 335, 337, 338, 339, 340, 341], "blackman_coeff": [9, 10, 11], "float": [9, 10, 11, 33, 34, 36, 37, 39, 40, 41, 42, 43, 44, 46, 49, 51, 52, 55, 56, 58, 61, 62, 63, 66, 68, 69, 70, 71, 75, 76, 77, 78, 79, 81, 82, 83, 85, 87, 90, 91, 92, 93, 94, 98, 100, 101, 103, 104, 105, 106, 108, 111, 116, 117, 118, 119, 122, 126, 127, 128, 129, 130, 131, 132, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 165, 166, 173, 198, 199, 200, 204, 205, 206, 207, 210, 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142, 143, 144, 145, 146, 147, 148, 159, 161, 164, 200, 201, 202, 203, 204, 205, 206, 207, 208, 211, 212, 213, 215, 216, 218, 219, 220, 221, 222, 223, 224, 225, 226, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 249, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 267, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 282, 283, 284, 285, 286, 290, 292, 293, 312, 313, 315, 318, 319, 321, 322, 323, 324, 326, 327, 328, 332, 333, 340, 341], "dither": [9, 10, 11], "energy_floor": [9, 10, 11], "frame_length": [9, 10, 11, 64, 90, 257, 275], "25": [9, 10, 11, 58, 93, 159, 200, 280, 284, 304, 313, 314, 320, 321, 324, 326, 327, 328, 329, 330, 331, 332, 333, 342], "frame_shift": [9, 10, 11], "high_freq": [9, 10], "htk_compat": [9, 10], "bool": [9, 10, 11, 12, 13, 15, 17, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 39, 40, 41, 53, 57, 62, 64, 65, 75, 76, 79, 82, 85, 87, 88, 90, 95, 100, 101, 104, 105, 111, 116, 118, 122, 130, 142, 148, 200, 206, 213, 215, 218, 220, 223, 225, 239, 240, 241, 243, 244, 245, 254, 255, 257, 258, 260, 261, 263, 266, 269, 270, 272, 273, 275, 278, 283, 284, 292, 313, 323], "fals": [9, 10, 11, 12, 13, 15, 17, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 40, 41, 53, 65, 79, 85, 88, 100, 101, 104, 111, 118, 130, 142, 213, 215, 239, 241, 244, 254, 257, 258, 260, 261, 263, 266, 269, 272, 275, 278, 285, 312, 313, 314, 315, 321, 322, 323, 324, 325, 326, 327, 329, 331, 332, 333, 336, 337, 339, 340, 341, 342], "low_freq": [9, 10], "20": [9, 10, 37, 77, 93, 104, 171, 200, 215, 224, 277, 280, 304, 313, 314, 320, 321, 326, 327, 328, 329, 330, 332, 336, 340, 342], "min_dur": [9, 10, 11], "num_mel_bin": [9, 10, 314], "preemphasis_coeffici": [9, 10, 11], "raw_energi": [9, 10, 11], "remove_dc_offset": [9, 10, 11], "round_to_power_of_two": [9, 10, 11], "sample_frequ": [9, 10, 11], "16000": [9, 10, 11, 23, 212, 238, 239, 242, 245, 256, 258, 260, 262, 263, 271, 277, 292, 306, 311, 314, 315, 317, 319, 322, 329, 332, 335, 336, 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331, 337, 338], "signal": [9, 10, 11, 35, 46, 51, 57, 62, 64, 65, 73, 74, 77, 81, 83, 89, 90, 91, 93, 94, 212, 238, 239, 240, 241, 242, 247, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 271, 274, 275, 276, 277, 280, 287, 304, 315, 318, 320, 328, 329, 333, 336, 338], "match": [9, 10, 11, 35, 47, 56, 88, 95, 110, 208, 250, 252, 285, 288, 293, 304, 319, 326, 330, 336, 338, 339, 340, 342], "feat": [9, 10, 11, 314, 323, 332, 335], "rang": [9, 10, 11, 46, 49, 53, 57, 58, 65, 77, 79, 100, 107, 159, 278, 283, 292, 312, 313, 314, 315, 318, 319, 320, 321, 322, 324, 325, 327, 330, 333, 337, 338, 339, 340, 341, 342], "option": [9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 36, 37, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 55, 56, 57, 58, 59, 61, 62, 63, 64, 65, 68, 69, 70, 71, 75, 76, 77, 79, 80, 81, 82, 83, 85, 87, 88, 90, 91, 92, 93, 94, 95, 98, 100, 101, 102, 104, 105, 106, 107, 108, 111, 112, 113, 114, 115, 116, 118, 119, 126, 127, 128, 129, 130, 131, 132, 134, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 171, 173, 198, 200, 203, 204, 205, 206, 210, 211, 212, 213, 214, 215, 219, 221, 222, 223, 224, 225, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 292, 293, 319, 323, 328, 330, 331, 332, 337, 338, 339, 340], "constant": [9, 10, 11, 41, 93, 95, 104, 122, 210, 215, 225, 280, 312, 328, 332, 333], "coeffici": [9, 10, 11, 44, 45, 48, 51, 57, 65, 66, 71, 75, 76, 81, 87, 211, 212, 249, 251, 258, 260, 261, 268, 270, 273], "blackman": [9, 10, 11], "mono": [9, 10, 11], "left": [9, 10, 11, 60, 88, 104, 122, 215, 225, 272, 292, 314, 330, 332], "right": [9, 10, 11, 48, 60, 104, 107, 122, 159, 215, 225, 314, 322, 325, 330, 332, 337, 340], "turn": [9, 10, 11, 33, 37, 159, 238, 248, 262, 314, 315], "g": [9, 10, 11, 36, 40, 41, 42, 43, 49, 55, 57, 58, 62, 63, 65, 68, 79, 84, 90, 92, 93, 109, 110, 159, 198, 200, 233, 239, 241, 255, 263, 275, 280, 284, 287, 298, 304, 313, 314, 321, 326, 327, 330, 335, 337, 338, 340], "floor": [9, 10, 11, 69, 70, 211, 212], "energi": [9, 10, 11, 53, 90, 211, 212, 239, 241, 318, 340], "absolut": [9, 10, 11], "rel": [9, 10, 11, 75, 79, 86, 87, 148, 204, 270, 313, 315, 325, 329, 332], "spectrogram": [9, 10, 37, 45, 62, 64, 69, 70, 78, 88, 105, 111, 114, 159, 171, 173, 232, 233, 236, 238, 239, 240, 241, 242, 249, 254, 255, 256, 257, 258, 260, 261, 262, 263, 272, 278, 279, 297, 302, 304, 306, 311, 312, 315, 316, 317, 319, 320, 321, 329, 333, 337, 340, 341], "caution": [9, 10, 11], "appli": [9, 10, 11, 38, 39, 46, 47, 49, 50, 53, 56, 57, 58, 61, 62, 64, 66, 69, 70, 71, 75, 76, 77, 79, 80, 84, 85, 87, 88, 89, 90, 101, 104, 106, 107, 108, 113, 122, 130, 142, 164, 200, 205, 208, 213, 214, 215, 219, 220, 221, 222, 223, 225, 239, 241, 243, 244, 245, 250, 252, 254, 255, 257, 258, 261, 263, 267, 269, 270, 272, 273, 274, 275, 277, 278, 279, 284, 285, 287, 292, 293, 304, 311, 312, 318, 324, 325, 328, 330, 337, 338, 341], "zeroth": [9, 10, 11], "compon": [9, 10, 11, 159, 164, 214, 232, 233, 287, 297, 312, 313, 314, 322, 323, 328, 332, 335, 337, 341, 342], "repres": [9, 10, 11, 75, 76, 87, 101, 104, 107, 108, 116, 117, 159, 165, 166, 171, 172, 198, 199, 200, 207, 211, 212, 214, 215, 233, 270, 273, 284, 313, 315, 318, 320, 321, 327, 329, 330, 333, 335, 336, 340, 342], "individu": [9, 10, 11, 323], "element": [9, 10, 11, 35, 91, 101, 104, 107, 122, 130, 167, 168, 169, 170, 215, 225, 247, 276, 277, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 324, 326, 327, 328, 329, 332, 333, 335, 336, 337, 340, 341, 342], "fix": [9, 10, 11, 212], "std": [9, 10, 11, 29, 292, 293, 328], "numeric_limit": [9, 10, 11], "epsilon": [9, 10, 11, 122, 218, 329, 336], "length": [9, 10, 11, 23, 35, 45, 52, 54, 59, 62, 64, 80, 85, 89, 90, 91, 94, 101, 104, 106, 107, 108, 111, 113, 114, 116, 117, 122, 130, 159, 160, 171, 172, 173, 208, 212, 214, 215, 216, 218, 221, 222, 223, 225, 233, 239, 241, 247, 249, 253, 254, 255, 257, 263, 267, 269, 274, 275, 276, 277, 278, 279, 321, 322, 323, 326, 327, 328, 329, 332, 342], "millisecond": [9, 10, 11, 58, 79], "shift": [9, 10, 11, 49, 58, 80, 244, 245, 267], "cutoff": [9, 10, 37, 63, 68, 213, 320, 325], "frequenc": [9, 10, 11, 36, 38, 40, 41, 42, 43, 52, 55, 63, 66, 68, 71, 82, 83, 89, 91, 92, 102, 105, 173, 205, 206, 207, 209, 210, 211, 212, 213, 238, 239, 240, 242, 254, 256, 258, 260, 261, 262, 263, 266, 270, 271, 273, 274, 276, 277, 304, 315, 318, 320, 321, 324, 328, 329, 336, 337, 340], "mel": [9, 10, 48, 71, 111, 159, 171, 205, 232, 233, 239, 256, 260, 262, 263, 302, 304, 311], "offset": [9, 10, 49, 284, 292, 293, 320, 341], "nyquist": [9, 10, 83, 271, 312, 320, 325, 333, 341], "put": [9, 10, 288, 322, 323, 339], "last": [9, 10, 47, 51, 56, 65, 69, 70, 81, 95, 200, 250, 251, 252, 268, 314, 321, 327, 331, 337, 342], "warn": [9, 10, 282, 283, 286, 312, 340, 342], "suffici": [9, 10, 328], "htk": [9, 10, 71, 94, 256, 262, 263, 318, 319], "low": [9, 10, 104, 124, 213, 304, 322, 338, 341], "segment": [9, 10, 11, 47, 56, 104, 107, 122, 159, 215, 225, 250, 252, 319, 321, 322, 326, 332], "second": [9, 10, 11, 47, 54, 56, 65, 93, 159, 166, 211, 244, 245, 250, 252, 280, 284, 292, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "number": [9, 10, 11, 23, 26, 37, 48, 52, 59, 62, 66, 69, 70, 71, 73, 74, 78, 80, 90, 94, 95, 100, 101, 102, 103, 104, 105, 107, 108, 111, 112, 113, 114, 115, 118, 119, 122, 130, 134, 142, 148, 159, 204, 205, 206, 207, 208, 211, 212, 215, 216, 218, 220, 221, 222, 223, 225, 238, 239, 240, 241, 242, 243, 248, 255, 256, 258, 260, 262, 263, 264, 265, 267, 275, 279, 284, 285, 288, 292, 293, 297, 312, 313, 314, 315, 318, 319, 320, 322, 326, 329, 330, 331, 333, 336, 338, 340, 341], "triangular": [9, 10, 53, 58, 66, 71, 79, 205, 238, 256, 262, 263], "preemphasi": [9, 10, 11, 51], "befor": [9, 10, 11, 33, 37, 93, 100, 111, 130, 142, 159, 204, 248, 280, 284, 285, 292, 293, 294, 306, 314, 322, 323, 327, 330, 336, 339, 340], "subtract": [9, 10, 11, 208, 209, 213, 287, 312, 325, 333, 334], "each": [9, 10, 11, 30, 31, 35, 37, 51, 59, 62, 64, 66, 71, 78, 80, 81, 85, 89, 90, 101, 104, 105, 106, 107, 108, 109, 111, 113, 114, 116, 117, 118, 119, 122, 130, 142, 165, 166, 171, 172, 173, 198, 199, 200, 205, 208, 211, 214, 215, 216, 218, 220, 221, 222, 223, 225, 233, 239, 241, 254, 255, 257, 263, 267, 269, 274, 275, 278, 284, 285, 288, 292, 301, 306, 307, 313, 314, 318, 321, 322, 323, 326, 327, 328, 330, 332, 335, 337, 338, 340, 342], "round": [9, 10, 11, 320], "power": [9, 10, 11, 33, 37, 62, 75, 76, 82, 86, 87, 90, 93, 239, 241, 248, 255, 261, 263, 266, 270, 273, 275, 279, 280, 281, 284, 311, 314, 315, 317, 318, 328, 329, 332, 338, 340, 341], "two": [9, 10, 11, 31, 36, 40, 41, 42, 44, 47, 54, 56, 60, 64, 69, 70, 89, 90, 98, 116, 130, 142, 239, 241, 250, 252, 257, 261, 263, 274, 275, 284, 285, 314, 319, 320, 323, 327, 329, 335, 340], "zero": [9, 10, 11, 23, 62, 85, 111, 204, 208, 255, 269, 304, 312, 320, 321, 322, 323, 325, 327, 328, 330, 332, 333, 341], "pad": [9, 10, 11, 23, 45, 57, 64, 65, 85, 89, 90, 95, 104, 107, 111, 159, 215, 239, 241, 244, 249, 257, 263, 269, 274, 275, 322, 323, 332], "fft": [9, 10, 11, 56, 62, 64, 80, 89, 90, 105, 159, 239, 241, 252, 255, 257, 263, 267, 274, 275, 297, 325, 340], "end": [9, 10, 11, 34, 88, 93, 95, 103, 112, 116, 130, 142, 159, 208, 233, 244, 272, 280, 284, 304, 312, 315, 319, 321, 322, 323, 326, 327, 328, 329, 332, 338, 340], "effect": [9, 10, 11, 43, 46, 58, 64, 65, 75, 76, 77, 79, 87, 88, 92, 93, 95, 100, 243, 244, 245, 246, 261, 270, 272, 273, 280, 283, 284, 285, 287, 292, 317, 320, 321, 328, 332, 337], "handl": [9, 10, 11, 15, 29, 100, 243, 284, 285, 292, 307, 319, 320, 338], "fit": [9, 10, 11, 319], "depend": [9, 10, 11, 37, 48, 64, 85, 93, 100, 173, 243, 248, 257, 258, 260, 269, 280, 282, 284, 285, 286, 290, 292, 306, 308, 321, 322, 324, 326, 328, 329, 330, 332, 335, 337, 338, 339, 340, 342], "reflect": [9, 10, 11, 64, 90, 211, 212, 239, 241, 257, 263, 275, 317, 318, 320], "cm": [9, 10, 11, 325], "dimens": [9, 10, 35, 36, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 55, 56, 57, 58, 61, 62, 63, 64, 65, 67, 68, 69, 70, 75, 76, 77, 78, 79, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 100, 101, 102, 103, 104, 106, 107, 108, 109, 110, 111, 112, 113, 114, 122, 130, 134, 136, 142, 200, 208, 211, 212, 215, 216, 218, 219, 220, 221, 222, 223, 224, 225, 238, 239, 240, 241, 242, 244, 245, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 279, 280, 281, 297, 321, 326, 335, 340], "log": [9, 59, 113, 119, 200, 201, 258, 260, 282, 286, 313, 315, 320, 325, 327, 331, 333], "filterbank": [9, 48, 66, 71, 205, 238, 239, 242, 256, 262, 263], "els": [9, 39, 100, 312, 313, 320, 321, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 341, 342], "linear": [9, 10, 58, 62, 66, 77, 94, 142, 179, 180, 181, 182, 183, 184, 185, 186, 187, 225, 242, 243, 253, 255, 256, 258, 304, 319, 328, 333, 340], "magnitud": [9, 62, 64, 66, 71, 89, 90, 102, 209, 239, 241, 248, 255, 257, 263, 274, 275, 304, 325, 328, 329, 340, 341], "inflect": [9, 10], "piecewis": [9, 10], "vtln": [9, 10], "warp": [9, 10], "neg": [9, 10, 37, 104, 113, 214, 215, 221, 222, 223, 248, 292, 320], "freq": [9, 10, 37, 38, 45, 52, 62, 64, 69, 70, 75, 76, 78, 82, 86, 87, 88, 90, 238, 242, 249, 255, 256, 257, 261, 262, 266, 270, 272, 273, 275, 279, 312, 318, 320, 329, 333], "factor": [9, 10, 78, 91, 105, 106, 122, 130, 216, 218, 243, 276, 277, 285, 313, 341], "applic": [9, 10, 54, 88, 116, 254, 271, 272, 278, 284, 287, 304, 307, 315, 319, 320, 321, 336, 338, 341], "vtln_map": [9, 10], "ham": [9, 10, 11, 213, 325], "han": [9, 10, 11, 304], "rectangular": [9, 10, 11, 53], "return": [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 159, 160, 161, 165, 166, 171, 172, 173, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 233, 235, 236, 237, 238, 239, 240, 241, 242, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 279, 281, 282, 283, 284, 285, 286, 290, 292, 306, 311, 312, 313, 314, 315, 317, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 340, 341, 342], "what": [9, 10, 11, 234, 285, 293, 313, 314, 318, 321, 335, 338, 339, 342], "shape": [9, 10, 11, 35, 37, 47, 48, 51, 53, 56, 57, 59, 60, 65, 72, 75, 76, 78, 80, 81, 83, 87, 88, 91, 93, 95, 98, 100, 101, 102, 104, 105, 106, 107, 108, 111, 113, 114, 116, 117, 118, 119, 160, 164, 172, 173, 201, 204, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 236, 237, 244, 245, 247, 250, 251, 252, 253, 267, 268, 270, 271, 273, 276, 277, 280, 284, 285, 292, 293, 313, 314, 315, 318, 319, 321, 328, 329, 330, 333, 335, 336, 338, 339, 340, 342], "calcul": [9, 10, 11, 54, 258, 260, 328], "_get_strid": [9, 10, 11], "asr": [9, 54, 83, 100, 104, 107, 108, 113, 116, 117, 118, 119, 120, 150, 153, 154, 159, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 198, 200, 230, 231, 287, 289, 296, 298, 304, 309, 327, 334, 335, 337], "infer": [9, 54, 83, 94, 100, 113, 116, 117, 118, 119, 120, 122, 150, 159, 171, 198, 230, 231, 233, 234, 235, 243, 244, 267, 287, 296, 297, 298, 319, 326, 334, 342], "ctc": [9, 34, 54, 59, 72, 83, 85, 100, 113, 116, 117, 118, 119, 120, 198, 200, 269, 287, 297, 304, 326, 327, 334, 335, 336], "cepstral_lift": 10, "22": [10, 200, 207, 282, 285, 286, 304, 313, 320, 321, 326, 327, 328, 331, 335, 342], "num_cep": 10, "control": [10, 43, 46, 64, 77, 83, 90, 92, 105, 130, 142, 208, 239, 241, 257, 263, 271, 275, 284, 304, 322, 331, 340, 341], "cepstra": 10, "c0": 10, "fbank": [10, 314, 318], "padded_window_s": 11, "class": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 85, 94, 95, 98, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 117, 130, 143, 144, 145, 146, 147, 159, 160, 161, 164, 165, 166, 171, 172, 173, 198, 199, 200, 201, 202, 203, 214, 215, 216, 233, 235, 236, 237, 238, 239, 240, 241, 242, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 284, 285, 287, 292, 293, 297, 306, 311, 313, 315, 319, 321, 322, 323, 327, 332, 335, 338], "root": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 203, 313, 321, 335, 336, 342], "union": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 64, 75, 76, 87, 90, 94, 100, 118, 119, 172, 203, 207, 211, 212, 220, 243, 257, 270, 273, 275, 284, 285, 336], "url": [12, 13, 15, 17, 19, 20, 21, 26, 29, 30, 31, 32, 94, 159, 284, 292, 304, 314, 319, 326, 328, 336, 338], "aew": 12, "folder_in_arch": [12, 17, 19, 20, 21, 26, 32], "arctic": [12, 304], "cmu": [12, 13, 304], "kominek": [12, 304], "et": [12, 14, 16, 17, 18, 19, 20, 22, 23, 24, 25, 27, 28, 29, 30, 31, 62, 65, 76, 101, 103, 104, 106, 111, 112, 113, 114, 116, 126, 127, 128, 129, 130, 131, 132, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 162, 163, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 211, 212, 215, 216, 219, 221, 222, 226, 227, 228, 229, 230, 231, 232, 234, 235, 236, 254, 255, 261, 273, 277, 278, 279, 311, 314, 321, 336], "al": [12, 14, 16, 17, 18, 19, 20, 22, 23, 24, 25, 27, 28, 29, 30, 31, 62, 65, 76, 101, 103, 104, 106, 111, 112, 113, 114, 116, 126, 127, 128, 129, 130, 131, 132, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 162, 163, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 211, 212, 215, 216, 219, 221, 222, 226, 227, 228, 229, 230, 231, 232, 234, 235, 236, 254, 255, 261, 273, 277, 278, 279, 311, 314, 321, 336], "2003": [12, 239, 304], "allow": [12, 19, 20, 26, 28, 46, 49, 50, 54, 58, 77, 79, 84, 93, 94, 100, 130, 171, 223, 280, 284, 285, 307, 313, 314, 315, 319, 320, 322, 330, 331, 342], "ahw": 12, "aup": 12, "awb": 12, "axb": 12, "bdl": 12, "clb": 12, "eei": 12, "fem": 12, "gka": 12, "jmk": 12, "ksp": 12, "ljm": 12, "lnh": 12, "rm": 12, "rxr": 12, "slp": 12, "slt": [12, 304], "top": [12, 15, 17, 18, 19, 20, 21, 24, 25, 26, 27, 29, 32, 108, 116, 142, 159, 203, 225, 292, 293, 307, 308, 313, 314, 330, 333, 336, 340], "level": [12, 15, 17, 18, 19, 20, 21, 24, 25, 26, 27, 29, 32, 54, 93, 203, 204, 211, 280, 282, 283, 285, 286, 292, 293, 307, 308, 322, 326, 333, 338], "whether": [12, 13, 15, 17, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 64, 90, 116, 118, 130, 142, 216, 220, 223, 239, 241, 254, 257, 258, 260, 263, 275, 278, 313], "tupl": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 59, 91, 100, 101, 104, 106, 107, 108, 111, 113, 114, 116, 130, 142, 148, 160, 172, 173, 198, 200, 203, 214, 215, 216, 226, 244, 245, 276, 277, 282, 284, 286, 290, 319], "th": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 38, 64, 90, 101, 104, 107, 203, 207, 215, 239, 241, 257, 263, 270, 273, 275, 304, 314], "rate": [12, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 39, 40, 41, 42, 43, 50, 52, 55, 58, 63, 66, 67, 68, 71, 78, 79, 80, 84, 89, 92, 93, 94, 95, 98, 100, 105, 123, 124, 125, 159, 164, 165, 166, 173, 198, 199, 200, 203, 205, 206, 210, 212, 216, 233, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 256, 258, 259, 260, 262, 263, 267, 274, 279, 280, 284, 285, 292, 293, 297, 312, 315, 316, 317, 318, 319, 320, 321, 322, 324, 326, 327, 328, 329, 331, 332, 333, 335, 336, 337, 338, 339, 341, 342], "transcript": [12, 16, 19, 21, 22, 27, 28, 29, 107, 108, 122, 159, 181, 184, 198, 201, 202, 218, 313, 314, 322, 323, 327, 332], "utter": [12, 15, 18, 19, 20, 22, 26, 29, 31, 88, 104, 215, 272, 315], "exclude_punctu": 13, "svn": 13, "sf": 13, "net": [13, 36, 40, 41, 42, 43, 46, 49, 50, 58, 77, 79, 84, 92, 93, 243, 280, 283, 304, 336], "p": [13, 69, 70, 102, 171, 198, 200, 278, 284, 287, 304, 313, 314, 321, 322, 323, 326, 327, 335, 336, 342], "cmusphinx": 13, "trunk": 13, "7b": 13, "url_symbol": 13, "pronounc": 13, "dictionari": [13, 14, 118, 165, 166, 171, 198, 199, 200, 233, 290, 297, 304, 321, 327, 335, 337], "weid": [13, 304], "1998": [13, 304], "exclud": [13, 298], "pronounci": 13, "punctuat": [13, 326], "exclam": 13, "hash": 13, "mark": [13, 304, 306], "phonem": [13, 28, 168, 170, 171, 288, 297, 321], "aa": [13, 282, 286], "ae": 13, "ah": [13, 171, 342], "word": [13, 28, 54, 116, 117, 118, 158, 202, 313, 314, 318, 326, 335], "tsv": 14, "train": [14, 15, 16, 17, 19, 20, 23, 24, 26, 27, 28, 30, 102, 104, 105, 106, 107, 111, 112, 114, 130, 142, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 214, 215, 221, 222, 223, 230, 231, 232, 233, 234, 235, 287, 295, 297, 301, 304, 313, 314, 315, 319, 321, 326, 327, 328, 332, 335, 336, 342], "ardila": [14, 191, 192, 193, 194, 304], "present": [14, 284, 285, 292, 293, 314, 320, 321, 323, 340], "construct": [14, 118, 149, 150, 151, 152, 159, 162, 163, 164, 165, 166, 198, 199, 200, 230, 231, 232, 233, 235, 292, 293, 295, 301, 321, 325, 330, 335, 337], "invalid": [14, 284], "valid": [14, 16, 17, 24, 26, 27, 28, 35, 47, 56, 91, 101, 104, 106, 107, 108, 111, 113, 114, 116, 117, 118, 119, 120, 130, 134, 142, 171, 172, 173, 208, 210, 214, 215, 243, 246, 247, 250, 252, 256, 276, 277, 283, 284, 285, 292, 338, 342], "dict": [14, 28, 116, 200, 239, 241, 242, 255, 257, 258, 260, 263, 267, 274, 275, 282, 283, 284, 285, 286, 328], "client_id": 14, "sentenc": [14, 54, 111, 116], "up_vot": 14, "down_vot": 14, "ag": [14, 314], "gender": 14, "accent": 14, "subset": [15, 16, 17, 22, 23, 24, 25, 26, 27, 28, 30, 164, 174, 175, 176, 177, 178, 179, 180, 182, 183, 185, 186, 203, 304, 306], "datashar": [15, 29], "ed": [15, 29, 314], "ac": [15, 29, 30, 31, 282, 286, 338], "uk": [15, 29, 30, 31, 333], "10283": [15, 29], "3038": 15, "dr": 15, "vctk": [15, 29, 304], "zip": [15, 29, 30, 31, 245, 313, 318, 320, 321, 324, 325, 326, 327, 328, 330, 331, 342], "record": [15, 49, 93, 211, 280, 304, 315, 332, 337], "small": [15, 65, 219, 221, 271, 304, 314, 320, 322, 325, 327], "sarfjoo": [15, 304], "yamagishi": [15, 29, 163, 304], "2018": [15, 26, 27, 111, 114, 211, 212, 304, 338], "noisi": [15, 38, 261, 315], "speaker": [15, 16, 18, 19, 20, 22, 23, 26, 27, 28, 29, 30, 31, 285, 304, 339, 340], "fluent": 16, "speech": [16, 21, 26, 29, 35, 75, 76, 83, 86, 87, 93, 100, 101, 102, 103, 104, 109, 110, 111, 112, 113, 114, 158, 159, 165, 166, 167, 168, 169, 170, 171, 191, 198, 203, 215, 219, 221, 222, 232, 255, 257, 261, 263, 266, 270, 271, 273, 275, 277, 280, 287, 288, 304, 313, 314, 317, 321, 322, 323, 327, 332, 334], "lugosch": [16, 304], "action": 16, "filepath": [16, 18, 19, 25, 26, 27, 30, 31, 203], "otherwis": [16, 18, 19, 25, 26, 27, 30, 31, 39, 57, 62, 65, 69, 70, 85, 91, 94, 95, 100, 130, 142, 203, 206, 208, 210, 213, 240, 241, 243, 244, 255, 269, 276, 277, 284, 285, 292, 293, 328], "field": [16, 18, 19, 25, 26, 27, 30, 31, 203, 313], "opihi": 17, "uvic": 17, "ca": [17, 314], "genr": [17, 304], "none": [17, 18, 24, 25, 26, 27, 35, 37, 39, 48, 49, 59, 62, 64, 71, 75, 78, 80, 82, 83, 85, 90, 91, 93, 94, 95, 98, 100, 104, 106, 107, 108, 111, 113, 114, 116, 118, 120, 122, 126, 127, 128, 129, 130, 131, 132, 134, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 159, 165, 166, 171, 173, 198, 199, 200, 204, 206, 210, 212, 214, 215, 224, 225, 233, 238, 239, 240, 241, 242, 243, 244, 247, 248, 255, 256, 257, 258, 260, 261, 262, 263, 266, 267, 269, 271, 274, 275, 276, 277, 279, 280, 284, 285, 292, 293, 312, 313, 315, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333], "tzanetaki": [17, 304], "2001": [17, 304], "marsya": 17, "info": [17, 73, 74, 264, 265, 282, 286, 287, 319], "plan": [17, 307, 319], "publish": [17, 153, 154, 155, 156, 157, 158, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 232, 332, 342], "octob": 17, "current": [17, 44, 59, 88, 93, 98, 104, 107, 108, 114, 116, 204, 211, 215, 272, 280, 284, 285, 307, 308, 327, 330, 336], "connect": [17, 114, 284], "error": [17, 53, 65, 210, 282, 285, 286, 292, 293, 306, 321, 322, 329, 331, 336, 338], "entir": [17, 113, 288, 308, 324, 328], "label": [17, 18, 26, 27, 30, 31, 32, 59, 85, 106, 113, 116, 117, 130, 198, 200, 269, 297, 306, 313, 316, 318, 320, 321, 325, 335, 341], "session": 18, "utterance_typ": 18, "busso": [18, 304], "2008": [18, 304], "improvis": 18, "both": [18, 39, 64, 85, 90, 150, 152, 211, 230, 231, 239, 241, 257, 263, 269, 275, 292, 293, 313, 320, 322, 323, 329, 330, 331, 332, 338], "neu": 18, "hap": 18, "ang": 18, "sad": [18, 313, 332], "exc": 18, "fru": 18, "panayotov": [19, 150, 153, 154, 155, 179, 180, 181, 182, 183, 184, 185, 187, 188, 189, 195, 304], "2015": [19, 25, 62, 150, 153, 154, 155, 179, 180, 181, 182, 183, 184, 185, 187, 188, 189, 195, 203, 255, 277, 304], "dowload": [19, 20, 26], "360": [19, 20, 23, 153, 154, 155, 179, 180, 181, 182, 183, 184, 187, 188, 189, 330, 331, 337, 338, 339], "chapter": [19, 20, 22], "zen": [20, 304], "origin": [20, 26, 62, 64, 83, 91, 114, 125, 130, 137, 138, 142, 151, 152, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 208, 232, 234, 254, 255, 257, 271, 276, 277, 278, 279, 285, 313, 317, 318, 320, 321, 323, 327, 328, 329, 330, 332, 338, 340, 342], "text": [20, 29, 35, 38, 45, 51, 59, 60, 64, 75, 76, 81, 90, 111, 114, 159, 161, 167, 168, 169, 170, 171, 172, 212, 232, 233, 239, 241, 255, 257, 261, 263, 270, 273, 275, 287, 288, 304, 312, 313, 314, 321, 323, 326, 334, 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286, 292, 313, 318, 319, 320, 321, 322, 323, 324, 325, 327, 331, 336, 337, 340, 341, 342], "03": [1, 165, 233, 244, 312, 313, 314, 321, 327, 331, 332, 333, 334, 336, 338, 341, 342], "driver": [1, 256], "name": [1, 14, 16, 18, 24, 25, 27, 105, 203, 246, 256, 282, 283, 284, 285, 286, 288, 292, 293, 314, 319, 322, 328, 330, 331, 340], "persist": [1, 332], "m": [1, 9, 10, 11, 47, 56, 58, 62, 198, 200, 250, 252, 255, 261, 287, 304, 313, 314, 320, 321, 326, 327, 335], "bu": [1, 314], "id": [1, 12, 15, 16, 19, 20, 22, 26, 28, 29, 30, 31, 116, 117, 119, 313, 314], "disp": 1, "A": [1, 9, 10, 11, 13, 37, 62, 66, 71, 78, 94, 106, 165, 166, 171, 198, 205, 206, 213, 233, 238, 239, 240, 241, 242, 248, 255, 256, 257, 262, 263, 264, 265, 271, 274, 275, 279, 282, 284, 286, 287, 292, 293, 297, 304, 313, 314, 319, 320, 327, 328, 331, 333, 335, 336, 338, 340], "volatil": 1, "uncorr": 1, "ecc": 1, "fan": 1, "temp": 1, "perf": 1, "pwr": 1, "usag": [1, 95, 100, 116, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 162, 163, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 230, 231, 232, 233, 244, 245, 248, 275, 282, 283, 284, 289, 292, 293, 294, 297, 309, 311, 315, 321, 322, 323, 327, 331, 332, 334, 342], "cap": 1, "memori": [1, 104, 122, 215, 225, 284, 292, 293, 304, 324, 328, 330, 331, 340], "util": [1, 2, 6, 100, 150, 230, 231, 243, 244, 282, 283, 286, 298, 302, 307, 313, 314, 315, 317, 318, 319, 321, 323, 324, 326, 327, 328, 329, 330, 331, 335, 336, 339, 340, 342], "mig": 1, "off": [1, 9, 10, 11, 37, 83, 100, 171, 248, 271, 324, 325, 337, 338, 341], "00000000": 1, "00": [1, 159, 164, 165, 166, 171, 198, 199, 200, 233, 313, 314, 315, 316, 319, 321, 326, 327, 328, 329, 330, 332, 334, 335, 336, 342], "04": [1, 164, 171, 263, 313, 314, 315, 321, 322, 332, 334, 336, 342], "n": [1, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 44, 45, 47, 51, 56, 60, 81, 102, 198, 200, 203, 208, 210, 212, 244, 245, 250, 251, 252, 268, 285, 292, 293, 304, 312, 313, 314, 318, 319, 320, 321, 323, 325, 326, 327, 330, 335, 336, 338, 340, 341], "56c": 1, "p8": 1, "10w": 1, "70w": 1, "0mib": 1, "15109mib": 1, "process": [1, 3, 4, 5, 9, 10, 11, 53, 62, 93, 94, 95, 100, 111, 158, 159, 172, 243, 255, 263, 280, 283, 284, 285, 287, 292, 293, 297, 304, 307, 308, 311, 314, 315, 320, 321, 324, 326, 327, 330, 331, 332, 333, 335, 336, 338, 339, 340], "gi": [1, 332], "ci": [1, 4, 314], "pid": 1, "type": [1, 9, 10, 11, 12, 13, 18, 19, 20, 26, 27, 28, 33, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 99, 100, 102, 103, 104, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 134, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 159, 160, 161, 164, 165, 166, 171, 172, 173, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 233, 235, 236, 237, 238, 239, 240, 241, 242, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 279, 281, 282, 283, 284, 285, 286, 290, 292, 293, 297, 306, 311, 313, 314, 320, 326, 330, 335, 338, 339, 340], "No": [1, 284, 337, 338], "run": [1, 2, 4, 7, 88, 245, 271, 272, 288, 312, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 329, 330, 331, 333, 335, 336, 337, 338, 339, 340, 341, 342], "found": [1, 4, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 93, 108, 116, 210, 280, 282, 284, 285, 286, 288, 292, 313, 314, 322, 327, 333, 335, 337, 338, 342], "later": [1, 234, 337, 340], "need": [1, 4, 7, 9, 10, 23, 30, 31, 93, 166, 212, 232, 233, 244, 245, 264, 271, 280, 288, 290, 297, 313, 315, 319, 322, 326, 330, 331, 336, 337, 338, 339, 340, 342], "list": [1, 2, 13, 23, 24, 27, 30, 31, 32, 54, 72, 95, 99, 104, 105, 107, 108, 109, 113, 114, 116, 117, 118, 119, 123, 124, 125, 130, 142, 148, 161, 165, 171, 172, 198, 199, 201, 202, 207, 215, 220, 223, 244, 245, 246, 282, 283, 284, 285, 286, 288, 292, 293, 294, 313, 314, 316, 318, 319, 322, 326, 327, 328, 335, 338, 340, 342], "correspond": [1, 14, 29, 31, 47, 56, 72, 94, 95, 100, 102, 106, 111, 113, 114, 116, 117, 118, 120, 130, 137, 138, 142, 181, 184, 198, 200, 208, 211, 212, 220, 223, 243, 244, 250, 252, 279, 282, 284, 285, 286, 288, 312, 313, 314, 318, 319, 320, 321, 336, 339, 340, 342], "interact": [1, 304], "sinc": [1, 2, 100, 212, 213, 233, 287, 314, 318, 320, 326, 327, 333, 342], "system": [1, 2, 112, 284, 285, 288, 304, 319, 320, 322, 323, 336, 337, 338, 339, 340], "one": [1, 2, 3, 4, 7, 15, 18, 44, 47, 56, 69, 70, 75, 76, 87, 88, 94, 100, 102, 104, 105, 106, 107, 109, 113, 116, 122, 136, 200, 207, 208, 214, 215, 216, 218, 225, 232, 233, 243, 244, 250, 252, 253, 261, 270, 271, 272, 273, 284, 285, 288, 292, 293, 313, 314, 318, 319, 320, 321, 324, 326, 327, 330, 331, 332, 335, 337, 340, 341], "n11": 1, "tag": [1, 7, 292, 322, 323, 324, 330, 331, 332, 337, 338, 339, 340], "git": [1, 2, 3, 4], "clone": [1, 2, 4, 304, 327], "videolan": 1, "org": [1, 3, 4, 32, 36, 40, 41, 42, 43, 44, 50, 55, 57, 63, 68, 84, 92, 95, 159, 165, 166, 233, 248, 284, 285, 288, 304, 308, 312, 313, 319, 322, 324, 325, 326, 332, 333, 335, 336, 337, 338, 339, 341, 342], "nv": 1, "cd": [1, 2, 3, 4, 50], "checkout": [1, 4], "10": [1, 9, 10, 11, 35, 37, 52, 58, 82, 101, 105, 114, 119, 128, 129, 130, 131, 142, 159, 169, 170, 171, 180, 183, 186, 196, 197, 200, 207, 211, 215, 243, 244, 271, 284, 285, 288, 292, 304, 312, 313, 314, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 332, 333, 334, 336, 337, 338, 340, 341, 342], "sudo": [1, 2], "locat": [1, 3, 4, 14, 16, 288, 319, 323, 327, 328, 340], "chang": [1, 7, 9, 10, 39, 78, 100, 105, 115, 200, 243, 244, 245, 279, 280, 282, 283, 284, 285, 286, 292, 293, 298, 304, 307, 315, 318, 319, 325, 327, 328, 330, 331, 337, 338, 340, 341, 342], "prefix": [1, 2, 282, 286], "desired_directori": 1, "remot": [1, 338], "enumer": [1, 164, 318, 321, 327, 330, 331, 332, 335, 338, 342], "object": [1, 16, 94, 100, 109, 120, 137, 138, 148, 159, 165, 166, 171, 198, 199, 200, 233, 239, 241, 243, 244, 245, 255, 257, 263, 267, 274, 275, 284, 285, 287, 292, 293, 307, 318, 321, 322, 329, 335, 342], "819": 1, "done": [1, 64, 284, 297, 327, 336], "count": [1, 314], "100": [1, 9, 10, 19, 20, 23, 43, 46, 58, 77, 88, 108, 128, 153, 154, 155, 159, 164, 165, 166, 171, 179, 180, 181, 182, 183, 184, 185, 187, 188, 189, 198, 199, 200, 221, 222, 233, 239, 255, 257, 272, 282, 286, 313, 314, 315, 316, 319, 320, 321, 322, 324, 325, 327, 328, 329, 330, 331, 332, 335, 336, 340, 342], "compress": [1, 39, 46, 91, 95, 105, 243, 276, 277, 284, 285, 319], "697": 1, "total": [1, 9, 10, 11, 118, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342], "delta": [1, 45, 249, 320, 325], "439": 1, "reus": [1, 83], "receiv": [1, 112, 338, 339], "156": [1, 321, 327], "42": [1, 9, 10, 11, 159, 304, 313, 316, 321, 327, 335, 336, 338, 342], "kib": 1, "410": 1, "resolv": [1, 314, 321], "out": [1, 4, 105, 253, 271, 294, 311, 314, 320, 322, 323, 327, 328, 332, 342], "detach": [1, 321, 326, 327, 328, 342], "head": [1, 101, 104, 122, 130, 134, 142, 215, 218, 220, 223, 225, 314], "state": [1, 104, 107, 108, 116, 159, 215, 284, 310, 313, 322, 323, 332, 343], "experiment": 1, "commit": [1, 7], "discard": [1, 284], "ani": [1, 23, 93, 280, 284, 290, 292, 314, 319, 321, 332, 337], "impact": 1, "branch": [1, 105, 109], "anoth": [1, 271, 314, 320, 326, 328, 332], "If": 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319, 322, 329, 332, 338, 340], "do": [1, 3, 4, 9, 10, 11, 267, 284, 294, 304, 308, 314, 319, 322, 326, 328, 330, 331, 332, 333, 337, 338], "now": [1, 2, 4, 244, 282, 286, 312, 313, 314, 320, 321, 326, 327, 330, 331, 333, 335, 338, 339, 340], "b": [1, 59, 62, 67, 101, 102, 104, 107, 118, 119, 198, 200, 215, 255, 259, 284, 285, 304, 313, 314, 315, 316, 319, 321, 324, 326, 327, 328, 329, 330, 332, 335, 336, 337, 340, 342], "command": [1, 2, 4, 16, 26, 243, 244, 245, 284, 285, 292, 293, 304, 315, 322, 326, 330, 338, 339, 340, 342], "again": [1, 292, 314, 318, 332, 335, 339], "exampl": [1, 6, 30, 31, 45, 59, 69, 72, 78, 95, 101, 104, 111, 112, 114, 116, 118, 119, 137, 138, 159, 164, 165, 166, 167, 168, 169, 170, 171, 198, 199, 200, 204, 207, 215, 232, 233, 235, 237, 238, 239, 240, 241, 242, 244, 245, 246, 248, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 267, 269, 271, 272, 274, 275, 277, 278, 279, 280, 281, 282, 284, 285, 286, 288, 290, 292, 293, 294, 297, 304, 306, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 339, 341, 342], "315ad74": 1, "add": [1, 2, 4, 9, 10, 35, 75, 76, 82, 88, 105, 207, 244, 245, 247, 253, 266, 267, 270, 272, 273, 284, 285, 293, 312, 313, 315, 322, 328, 330, 340, 342], "cumemcpi": 1, "sed": [1, 313], "usr": [1, 2], "local": [1, 2, 3, 4, 288, 308, 312, 319, 320, 325, 328, 333, 341], "ffnvcodec": 1, "pc": 1, "0755": 1, "d": [1, 2, 32, 59, 104, 105, 107, 108, 151, 152, 159, 171, 198, 200, 208, 212, 215, 287, 290, 304, 313, 314, 321, 324, 326, 327, 333, 335, 339, 340, 342], "includ": [1, 2, 4, 10, 18, 27, 59, 93, 130, 142, 214, 280, 284, 292, 313, 314, 319, 321, 326, 328], "0644": 1, "h": [1, 38, 75, 102, 171, 198, 200, 261, 270, 273, 284, 285, 292, 293, 304, 313, 314, 321, 324, 325, 326, 327, 330, 335, 336, 337, 338, 342], "lib": [1, 2, 4, 324, 342], "pkgconfig": 1, "next": [1, 159, 313, 314, 321, 322, 323, 325, 326, 327, 328, 330, 332, 333, 335, 337, 340], "dure": [1, 106, 108, 130, 142, 214, 285, 292, 297, 306, 332], "minimum": [1, 9, 10, 11, 23, 37, 66, 71, 75, 76, 88, 130, 205, 223, 238, 239, 242, 248, 256, 258, 261, 262, 263, 270, 272, 273, 329, 330, 340], "yasm": [1, 4], "addition": [1, 284, 297, 320, 333], "h264": [1, 284, 285, 330, 338], "protocol": [1, 282, 285, 286, 293, 307], "which": [1, 2, 4, 6, 17, 18, 22, 23, 33, 47, 56, 69, 70, 91, 94, 95, 105, 109, 110, 111, 114, 122, 142, 165, 166, 171, 198, 199, 200, 204, 210, 211, 212, 216, 218, 225, 232, 233, 250, 252, 256, 264, 276, 277, 282, 283, 284, 285, 286, 288, 290, 292, 293, 297, 307, 312, 313, 314, 315, 317, 319, 320, 321, 322, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 337, 338, 339, 340, 341, 342], "verifi": [1, 2, 306], "apt": [1, 2], "qq": 1, "updat": [1, 2, 4, 261, 327], "y": [1, 35, 38, 44, 47, 51, 56, 60, 81, 198, 200, 250, 252, 261, 270, 273, 284, 287, 304, 313, 314, 318, 320, 321, 326, 327, 330, 332, 335, 336, 337], "libx264": [1, 2, 282, 286, 331, 340], "dev": [1, 2, 14, 19, 20, 23, 25, 28, 30], "libgnutls28": 1, "omit": [1, 284, 338], "breviti": 1, "strip": [1, 2, 313, 326], "libavutil": [1, 2, 282, 286, 288, 324, 330, 331, 340], "share": [1, 2, 282, 286, 297], "set": [1, 3, 4, 9, 10, 11, 17, 23, 24, 44, 62, 75, 76, 85, 87, 93, 95, 102, 115, 118, 122, 151, 152, 164, 168, 208, 212, 218, 255, 261, 269, 270, 273, 280, 282, 283, 284, 285, 286, 288, 292, 293, 297, 304, 307, 312, 318, 320, 325, 326, 327, 328, 331, 333, 335, 337, 338, 339, 342], "up": [1, 2, 4, 78, 98, 103, 119, 207, 208, 277, 279, 284, 304, 307, 312, 315, 318, 319, 322, 323, 327, 332, 335], "amd64": 1, "152": [1, 321, 327], "2854": 1, "gite9a5903": 1, "3": [1, 18, 28, 30, 70, 78, 79, 87, 102, 111, 120, 130, 142, 159, 200, 207, 211, 212, 216, 221, 222, 231, 243, 282, 283, 284, 285, 286, 288, 292, 304, 307, 311, 312, 313, 314, 316, 317, 318, 320, 321, 324, 325, 326, 327, 330, 331, 333, 335, 337, 338, 340, 342], "2build1": 1, "libunbound2": 1, "1ubuntu2": 1, "libp11": 1, 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320, 330, 331], "57": [1, 304, 313, 314, 321, 327, 330, 336, 338, 342], "1x": 1, "34502kb": 1, "3234kb": 1, "subtitl": [1, 284, 292], "0kb": 1, "other": [1, 4, 9, 10, 14, 19, 20, 24, 39, 93, 100, 105, 153, 154, 155, 158, 179, 180, 181, 182, 183, 184, 187, 188, 189, 198, 199, 200, 244, 245, 261, 280, 284, 288, 292, 297, 304, 313, 314, 318, 319, 321, 323, 327, 328, 330, 332, 335, 338, 340], "global": [1, 204, 285, 307, 310, 320, 322, 332, 343], "mux": [1, 339], "overhead": [1, 322, 330], "526932": 1, "onc": [1, 95, 271, 284, 285, 292, 319, 323, 324, 327, 328, 335, 338, 340, 342], "properli": [1, 284, 322], "pick": [1, 285, 319, 327, 335], "correctli": [1, 306, 330, 331, 342], "There": [1, 288, 294, 313, 319, 321, 323, 326, 327, 333, 335, 338, 339], "queri": [1, 287, 291, 304, 310], "ffmpeg_util": [1, 2, 100, 243, 324, 330, 331, 340], "get_video_decod": [1, 284, 330], "get_video_encod": [1, 285, 331], "often": [1, 4, 330, 331, 335, 340], "case": [1, 4, 94, 165, 166, 208, 233, 284, 285, 292, 293, 297, 304, 306, 319, 320, 321, 322, 327, 330, 331, 333, 338, 340, 342], "multipl": [1, 3, 4, 6, 79, 83, 95, 191, 192, 193, 194, 285, 288, 293, 307, 319, 320, 321, 323, 325, 326, 327, 330, 335, 337, 338, 340], "load": [1, 6, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 75, 76, 87, 114, 137, 138, 164, 165, 166, 198, 199, 200, 203, 233, 235, 238, 239, 240, 241, 242, 244, 245, 248, 253, 256, 258, 259, 260, 261, 262, 263, 264, 265, 267, 270, 271, 272, 273, 274, 275, 280, 281, 282, 284, 287, 305, 313, 314, 315, 318, 320, 321, 323, 324, 326, 327, 328, 330, 338, 339, 340, 342], "differ": [1, 4, 23, 37, 57, 65, 95, 106, 113, 114, 158, 165, 166, 171, 198, 199, 200, 208, 210, 232, 233, 242, 243, 244, 245, 248, 254, 258, 260, 278, 284, 285, 288, 292, 297, 306, 307, 312, 313, 314, 315, 318, 319, 321, 322, 323, 325, 328, 330, 331, 333, 335, 336, 337, 338, 339, 340, 342], "than": [1, 39, 49, 56, 91, 100, 101, 208, 220, 223, 244, 252, 271, 276, 277, 284, 285, 292, 313, 314, 320, 321, 322, 330, 331, 332, 335, 340], "expect": [1, 7, 9, 10, 11, 37, 62, 73, 74, 78, 98, 118, 119, 122, 134, 159, 165, 166, 173, 198, 199, 200, 235, 255, 264, 279, 284, 285, 293, 313, 322, 326, 328, 331, 332, 335, 338, 340, 342], "get_build_config": [1, 2], "get_vers": [1, 324, 330, 331, 340], "get": [1, 2, 3, 4, 9, 10, 16, 18, 19, 23, 25, 26, 27, 30, 31, 94, 116, 200, 203, 244, 246, 261, 282, 283, 284, 286, 288, 292, 308, 312, 313, 314, 318, 319, 320, 321, 322, 323, 325, 329, 333, 335, 336, 338, 339, 340, 341], "inform": [1, 4, 94, 165, 166, 171, 198, 199, 200, 210, 233, 282, 284, 286, 292, 297, 298, 304, 307, 323, 332, 335, 338], "about": [1, 284, 292, 313, 314, 338, 339, 342], "import": [1, 2, 137, 138, 159, 164, 165, 166, 171, 198, 199, 200, 233, 235, 271, 298, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "print": [1, 2, 159, 164, 165, 166, 171, 198, 282, 286, 304, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "nbuild": 1, "config": [1, 2, 4, 95, 282, 286, 291, 319, 324, 331, 340], "ndecod": 1, "k": [1, 171, 198, 200, 282, 286, 304, 312, 313, 314, 321, 324, 326, 327, 330, 331, 333, 335, 338, 340, 342], "kei": [1, 23, 284, 290, 292, 314, 319, 322, 330, 331, 338, 342], "nencod": 1, "56": [1, 191, 282, 286, 312, 313, 314, 321, 327, 330, 332, 336, 342], "58": [1, 304, 313, 321, 324, 327, 330, 331, 332, 334, 336, 340, 342], "54": [1, 171, 313, 321, 326, 327, 331, 332, 336, 338, 342], "toolchain": [1, 2, 4], "harden": [1, 2], "libdir": [1, 2], "x86_64": [1, 3, 4, 282, 286], "gnu": [1, 2], "incdir": [1, 2], "avresampl": [1, 2], "resampl": [1, 2, 95, 165, 166, 198, 199, 200, 235, 244, 245, 284, 285, 287, 293, 304, 306, 311, 313, 317, 318, 334, 335, 336, 338], "avisynth": [1, 2], "ladspa": [1, 2], "libaom": [1, 2, 282, 286], "libass": [1, 2], "libblurai": [1, 2], "libbs2b": [1, 2], "libcaca": [1, 2], "libcdio": [1, 2], "libcodec2": [1, 2], "libflit": [1, 2], "libfontconfig": [1, 2], "libfreetyp": [1, 2, 282, 286], "libfribidi": [1, 2], "libgm": [1, 2], "libgsm": [1, 2], "libjack": [1, 2], "libmp3lam": [1, 2, 282, 285, 286, 340], "libmysofa": [1, 2], "libopenjpeg": [1, 2], "libopenmpt": [1, 2], "libopu": [1, 2], "libpuls": [1, 2], "librsvg": [1, 2], "librubberband": [1, 2], "libshin": [1, 2], "libsnappi": [1, 2], "libsoxr": [1, 2], "libspeex": [1, 2], "libssh": [1, 2], "libtheora": [1, 2], "libtwolam": [1, 2], "libvidstab": [1, 2], "libvorbi": [1, 2, 285], "libvpx": [1, 2, 282, 286], "libwavpack": [1, 2], "libwebp": [1, 2], "libx265": [1, 2, 282, 286], "libxml2": [1, 2, 282, 286], "libxvid": [1, 2], "libzmq": [1, 2], "libzvbi": [1, 2], "lv2": [1, 2], "omx": [1, 2], "open": [1, 2, 4, 284, 290, 291, 292, 304, 314, 319, 321, 326, 331, 337, 339, 340], "opencl": [1, 2], "opengl": [1, 2, 339], "sdl2": [1, 2, 339], "libdc1394": [1, 2], "libdrm": [1, 2], "libiec61883": [1, 2], "chromaprint": [1, 2], "frei0r": [1, 2], "hevc_cuvid": [1, 330], "mjpeg_cuvid": [1, 330], "mpeg1_cuvid": [1, 330], "mpeg2_cuvid": [1, 330], "mpeg4_cuvid": [1, 330], "vc1_cuvid": [1, 330], "vp8_cuvid": [1, 330], "vp9_cuvid": [1, 330], "nvenc_h264": 1, "nvenc_hevc": 1, "hevc_nvenc": [1, 331], "fine": [1, 22, 106, 113, 137, 142, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 200, 224, 225, 306, 322, 331, 335], "collect": [2, 23, 323, 328], "relat": [2, 4, 284, 285, 292, 328, 332, 342], "nvidia": [2, 4, 111, 330, 331, 342], "embed": [2, 105, 111, 122, 130, 142, 148, 218, 220, 223, 304], "learn": [2, 105, 110, 111, 136, 191, 219, 221, 222, 263, 287, 297, 304, 328, 335, 336], "agx": 2, "orin": 2, "devkit": 2, "date": [2, 4, 292, 307], "instruct": [2, 3, 4, 149, 150, 151, 152, 162, 163, 230, 231, 232, 312, 325, 333, 341], "bash": [2, 4, 326, 342], "echo": [2, 95, 315, 326], "deb": 2, "repo": [2, 342], "common": [2, 8, 162, 163, 282, 286, 292, 295, 301, 304, 311, 312, 316, 318, 319, 328, 330, 333, 338, 342], "r34": 2, "etc": [2, 62, 90, 239, 241, 244, 255, 263, 275, 282, 286, 339, 340], "l4t": 2, "t234": 2, "dist": 2, "upgrad": 2, "reboot": 2, "stabl": [2, 7, 248], "b118": 2, "arm64": [2, 3, 282, 286], "automat": [2, 159, 171, 244, 245, 285, 287, 288, 292, 304, 330, 335, 340], "243": 2, "14": [2, 171, 200, 288, 304, 313, 315, 320, 321, 324, 326, 327, 330, 331, 332, 334, 336, 337, 338, 342], "libcudnn8": 2, "49": [2, 313, 314, 321, 327, 330, 336], "cuda11": 2, "cudnn8": 2, "tegra": 2, "gpu": [2, 4, 117, 287, 320, 330, 331, 342], "isntal": 2, "onli": [2, 3, 4, 9, 10, 11, 49, 56, 59, 62, 64, 65, 75, 76, 87, 88, 90, 93, 98, 100, 111, 114, 116, 137, 198, 212, 243, 244, 245, 252, 254, 255, 256, 261, 266, 270, 272, 273, 278, 280, 282, 284, 285, 286, 288, 292, 293, 308, 312, 313, 314, 318, 319, 320, 322, 326, 328, 332, 335, 336, 340, 342], "super": [2, 244, 245, 311, 313, 323, 335], "sure": [2, 4, 164, 232, 288, 323], "u": [2, 4, 75, 76, 107, 198, 200, 261, 270, 273, 284, 290, 313, 314, 321, 326, 327, 330, 331, 335], "won": [2, 288, 332, 342], "priviledg": 2, "pip3": [2, 328, 329, 336, 342], "ones": [2, 104, 115, 215, 232, 285, 312, 325, 333, 335, 341], "from": [2, 3, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 37, 49, 62, 64, 65, 69, 70, 72, 74, 85, 90, 93, 95, 100, 105, 108, 110, 111, 112, 113, 114, 115, 116, 126, 127, 128, 129, 130, 131, 132, 137, 138, 139, 140, 141, 142, 152, 153, 154, 155, 156, 157, 158, 159, 160, 164, 165, 166, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 198, 199, 200, 201, 204, 206, 208, 209, 210, 211, 214, 219, 221, 222, 232, 233, 234, 235, 240, 241, 242, 243, 244, 248, 254, 255, 256, 257, 258, 260, 261, 265, 267, 269, 271, 275, 277, 278, 279, 280, 282, 283, 284, 285, 286, 287, 288, 290, 292, 293, 294, 297, 298, 304, 307, 312, 313, 314, 315, 317, 318, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "directori": [2, 4, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 203, 288, 328], "its": [2, 13, 26, 35, 51, 75, 76, 81, 87, 111, 118, 207, 208, 211, 251, 268, 270, 273, 284, 285, 292, 297, 307, 312, 313, 315, 319, 320, 323, 326, 327, 328, 332, 337, 338, 340, 342], "site": [2, 324, 342], "packag": [2, 4, 288, 297, 304, 308, 317, 318, 319, 324, 326, 327, 342], "protect": [2, 340], "cannot": [2, 94, 208, 282, 286, 288, 325, 332, 338], "modifi": [2, 46, 62, 78, 255, 279, 304], "One": [2, 17, 53, 95, 137, 261, 281, 284, 285, 293, 321, 322, 330, 340, 342], "wai": [2, 4, 9, 10, 11, 244, 245, 288, 297, 311, 314, 315, 318, 321, 322, 323, 328, 331, 335, 338], "workaround": [2, 3, 4, 284, 342], "forum": 2, "python": [2, 3, 4, 49, 93, 117, 130, 142, 148, 201, 207, 263, 280, 284, 285, 288, 292, 293, 304, 306, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "modul": [2, 4, 58, 79, 101, 106, 107, 109, 110, 113, 134, 137, 138, 159, 164, 171, 179, 180, 181, 182, 183, 184, 185, 186, 187, 198, 199, 200, 214, 215, 220, 223, 233, 245, 250, 252, 261, 270, 273, 277, 282, 283, 286, 287, 288, 290, 295, 297, 298, 301, 306, 307, 308, 310, 311, 313, 315, 318, 319, 320, 323, 329, 335, 336, 337, 342, 343], "folder": [2, 4, 30, 31, 323], "181321": 2, "bootstrap": 2, "pypa": 2, "io": [2, 3, 4, 39, 95, 96, 97, 98, 263, 282, 284, 285, 286, 287, 288, 291, 315, 319, 322, 323, 324, 330, 331, 332, 337, 338, 339, 340], "after": [2, 4, 73, 74, 90, 95, 105, 111, 113, 118, 119, 130, 134, 142, 204, 207, 208, 214, 219, 220, 221, 222, 223, 224, 225, 239, 241, 244, 245, 261, 263, 275, 313, 314, 315, 321, 322, 330, 333], "point": [2, 9, 10, 13, 93, 94, 100, 243, 280, 284, 285, 292, 313, 314, 315, 319, 322, 323, 327, 329, 331, 337, 338, 340], "home": [2, 4, 159, 164, 304, 314], "As": [2, 17, 312, 318, 321, 322, 328, 332, 337, 342], "pre": [2, 3, 4, 30, 31, 81, 102, 105, 106, 107, 149, 151, 152, 153, 154, 155, 156, 157, 159, 171, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 214, 221, 222, 223, 230, 231, 232, 234, 235, 268, 271, 287, 295, 297, 301, 304, 314, 321, 326, 327, 328, 332, 335, 336, 342], "nidia": 2, "custom": [2, 29, 116, 118, 130, 134, 136, 142, 148, 207, 220, 223, 225, 232, 284, 292, 293, 311, 321], "specif": [2, 3, 4, 35, 90, 152, 159, 275, 284, 285, 288, 292, 297, 323, 327, 328, 330, 335, 337, 338, 342], "deeplearn": 2, "framework": [2, 304], "platform": [2, 304], "torch": [2, 6, 35, 36, 40, 41, 42, 43, 44, 45, 47, 51, 55, 56, 60, 63, 67, 68, 75, 76, 78, 80, 81, 82, 87, 91, 92, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 112, 113, 116, 117, 137, 138, 159, 160, 164, 165, 166, 171, 198, 199, 200, 203, 204, 205, 206, 207, 210, 211, 212, 215, 233, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 250, 251, 252, 255, 256, 257, 259, 261, 263, 266, 267, 268, 269, 270, 271, 273, 274, 275, 276, 277, 284, 285, 288, 290, 292, 293, 305, 306, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "0a0": 2, "340c4120": 2, "nv22": 2, "06": [2, 199, 313, 314, 320, 321, 327, 334, 336, 338, 341, 342], "cp38": 2, "linux_aarch64": 2, "whl": [2, 336], "redist": 2, "jp": 2, "v50": 2, "cach": [2, 165, 166, 198, 199, 200, 233, 235, 271, 313, 320, 321, 322, 332, 335, 336, 342], "devic": [2, 15, 98, 108, 159, 204, 271, 282, 284, 285, 286, 287, 289, 292, 293, 297, 304, 309, 311, 314, 320, 321, 326, 327, 328, 330, 331, 334, 335, 338, 340, 342], "access": [2, 4, 165, 166, 171, 198, 199, 200, 233, 284, 285, 297, 313, 314, 316, 322, 327, 328, 335], "__version__": [2, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "is_avail": [2, 321, 326, 327, 328, 335, 342], "empti": [2, 28, 284, 313, 333, 339], "410ce96a": 2, "12": [2, 4, 26, 80, 171, 200, 207, 215, 240, 241, 267, 288, 304, 313, 314, 319, 320, 321, 326, 327, 328, 329, 330, 332, 333, 337, 338, 342], "true": [2, 6, 9, 10, 11, 13, 17, 39, 40, 41, 47, 56, 57, 62, 64, 65, 75, 76, 79, 82, 85, 87, 88, 90, 95, 100, 104, 105, 111, 122, 130, 142, 159, 200, 206, 213, 215, 218, 225, 238, 239, 240, 241, 242, 243, 244, 245, 248, 250, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 269, 270, 271, 272, 273, 274, 275, 280, 281, 283, 284, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 327, 329, 330, 331, 332, 333, 336, 337, 338, 339, 340, 341, 342], "e": [2, 3, 4, 9, 10, 11, 36, 40, 41, 42, 43, 49, 53, 55, 57, 58, 62, 63, 65, 68, 79, 81, 84, 90, 92, 93, 107, 109, 110, 130, 142, 159, 171, 176, 192, 193, 194, 198, 200, 208, 233, 239, 241, 243, 255, 261, 263, 275, 277, 280, 282, 284, 285, 286, 287, 292, 293, 298, 304, 313, 314, 318, 319, 321, 322, 323, 326, 327, 335, 336, 338, 339, 342], "pep517": [2, 3, 4], "2ead941": 2, "aarch64": [2, 3], "folllow": 3, "en": [3, 4, 36, 40, 41, 42, 43, 44, 55, 63, 67, 68, 92, 175, 259, 304, 312, 314, 325, 332, 338, 341], "miniconda": [3, 4], "select": [3, 26, 94, 100, 243, 261, 304, 307, 329, 337, 341], "version": [3, 4, 15, 28, 59, 95, 115, 121, 123, 124, 125, 210, 217, 234, 282, 286, 288, 304, 312, 323, 328, 330, 331, 339, 340, 342], "nightli": [3, 4, 312, 325, 333, 336, 341], "setup": [3, 4, 320], "due": [3, 4, 29, 130, 284, 292, 323, 328], "complex": [3, 4, 38, 64, 75, 76, 78, 82, 86, 87, 90, 130, 223, 257, 261, 266, 270, 273, 275, 279, 284, 295, 301, 304, 320, 329], "place": [3, 4, 208, 284, 292, 314, 320, 330], "pip": [3, 4, 288, 317, 318, 319, 323], "tri": [3, 4], "architectur": [3, 4, 101, 102, 103, 104, 112, 143, 144, 145, 146, 147, 148, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 195, 196, 197, 215, 219, 221, 222, 227, 228, 229, 304, 323], "your": [3, 4, 167, 168, 169, 170, 271, 294, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 324, 326, 327, 328, 329, 331, 332, 333, 335, 336, 337, 338, 340, 341, 342], "those": [3, 23, 35, 47, 56, 250, 252, 314, 315, 321, 332, 338], "fail": [3, 4, 284, 292, 307, 312, 322, 331, 333, 337, 338, 341], "switch": [3, 4], "singl": [3, 4, 37, 38, 79, 94, 114, 130, 142, 245, 261, 270, 273, 284, 285, 292, 297, 315, 319, 329, 339], "must": [3, 4, 9, 10, 11, 35, 39, 47, 56, 57, 59, 62, 65, 90, 93, 94, 100, 104, 114, 118, 122, 136, 202, 207, 208, 211, 212, 213, 215, 218, 225, 230, 239, 241, 243, 250, 252, 253, 255, 263, 275, 278, 279, 280, 284, 285, 293, 298, 304, 314, 318, 326, 332, 337, 338, 339, 340, 342], "user": [3, 4, 7, 30, 31, 54, 159, 212, 282, 286, 292, 297, 307, 313, 336], 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286, 312, 315, 321, 324, 327, 328, 329, 338], "known": [4, 311, 321, 323, 326], "anaconda3": 4, "recogn": 4, "activ": [4, 93, 102, 104, 115, 122, 215, 216, 218, 225, 280, 321], "x64": 4, "toolset": 4, "vcvarsal": 4, "bat": 4, "vcvars64": 4, "under": [4, 153, 154, 155, 156, 157, 158, 162, 163, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 232, 297, 298, 314, 317, 332, 335, 342], "studio": 4, "vc": 4, "auxiliari": [4, 113], "more": [4, 39, 73, 74, 83, 108, 130, 159, 223, 243, 247, 249, 251, 264, 265, 268, 271, 282, 284, 285, 286, 292, 298, 312, 313, 314, 318, 319, 320, 321, 325, 327, 331, 332, 335, 338, 340], "cpp": [4, 340], "64": [4, 171, 219, 221, 222, 236, 237, 243, 282, 286, 292, 313, 314, 318, 320, 321, 325, 327, 330, 332, 336, 341, 342], "bit": [4, 39, 53, 94, 95, 100, 169, 170, 243, 244, 284, 285, 292, 313, 314, 319, 322, 323, 328, 331, 337, 338, 340], "line": [4, 58, 118, 119, 243, 313, 314, 326, 335, 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251, 252, 268, 314, 321, 327, 331, 337, 342], "warn": [9, 10, 282, 283, 286, 312, 340, 342], "suffici": [9, 10, 328], "htk": [9, 10, 71, 94, 256, 262, 263, 318, 319], "low": [9, 10, 104, 124, 213, 304, 322, 338, 341], "segment": [9, 10, 11, 47, 56, 104, 107, 122, 159, 215, 225, 250, 252, 319, 321, 322, 326, 332], "second": [9, 10, 11, 47, 54, 56, 65, 93, 159, 166, 211, 244, 245, 250, 252, 280, 284, 292, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "number": [9, 10, 11, 23, 26, 37, 48, 52, 59, 62, 66, 69, 70, 71, 73, 74, 78, 80, 90, 94, 95, 100, 101, 102, 103, 104, 105, 107, 108, 111, 112, 113, 114, 115, 118, 119, 122, 130, 134, 142, 148, 159, 204, 205, 206, 207, 208, 211, 212, 215, 216, 218, 220, 221, 222, 223, 225, 238, 239, 240, 241, 242, 243, 248, 255, 256, 258, 260, 262, 263, 264, 265, 267, 275, 279, 284, 285, 288, 292, 293, 297, 312, 313, 314, 315, 318, 319, 320, 322, 326, 329, 330, 331, 333, 336, 338, 340, 341], "triangular": [9, 10, 53, 58, 66, 71, 79, 205, 238, 256, 262, 263], "preemphasi": [9, 10, 11, 51], "befor": [9, 10, 11, 33, 37, 93, 100, 111, 130, 142, 159, 204, 248, 280, 284, 285, 292, 293, 294, 306, 314, 322, 323, 327, 330, 336, 339, 340], "subtract": [9, 10, 11, 208, 209, 213, 287, 312, 325, 333, 334], "each": [9, 10, 11, 30, 31, 35, 37, 51, 59, 62, 64, 66, 71, 78, 80, 81, 85, 89, 90, 101, 104, 105, 106, 107, 108, 109, 111, 113, 114, 116, 117, 118, 119, 122, 130, 142, 165, 166, 171, 172, 173, 198, 199, 200, 205, 208, 211, 214, 215, 216, 218, 220, 221, 222, 223, 225, 233, 239, 241, 254, 255, 257, 263, 267, 269, 274, 275, 278, 284, 285, 288, 292, 301, 306, 307, 313, 314, 318, 321, 322, 323, 326, 327, 328, 330, 332, 335, 337, 338, 340, 342], "round": [9, 10, 11, 320], "power": [9, 10, 11, 33, 37, 62, 75, 76, 82, 86, 87, 90, 93, 239, 241, 248, 255, 261, 263, 266, 270, 273, 275, 279, 280, 281, 284, 311, 314, 315, 317, 318, 328, 329, 332, 338, 340, 341], "two": [9, 10, 11, 31, 36, 40, 41, 42, 44, 47, 54, 56, 60, 64, 69, 70, 89, 90, 98, 116, 130, 142, 239, 241, 250, 252, 257, 261, 263, 274, 275, 284, 285, 314, 319, 320, 323, 327, 329, 335, 340], "zero": [9, 10, 11, 23, 62, 85, 111, 204, 208, 255, 269, 304, 312, 320, 321, 322, 323, 325, 327, 328, 330, 332, 333, 341], "pad": [9, 10, 11, 23, 45, 57, 64, 65, 85, 89, 90, 95, 104, 107, 111, 159, 215, 239, 241, 244, 249, 257, 263, 269, 274, 275, 322, 323, 332], "fft": [9, 10, 11, 56, 62, 64, 80, 89, 90, 105, 159, 239, 241, 252, 255, 257, 263, 267, 274, 275, 297, 325, 340], "end": [9, 10, 11, 34, 88, 93, 95, 103, 112, 116, 130, 142, 159, 208, 233, 244, 272, 280, 284, 304, 312, 315, 319, 321, 322, 323, 326, 327, 328, 329, 332, 338, 340], "effect": [9, 10, 11, 43, 46, 58, 64, 65, 75, 76, 77, 79, 87, 88, 92, 93, 95, 100, 243, 244, 245, 246, 261, 270, 272, 273, 280, 283, 284, 285, 287, 292, 317, 320, 321, 328, 332, 337], "handl": [9, 10, 11, 15, 29, 100, 243, 284, 285, 292, 307, 319, 320, 338], "fit": [9, 10, 11, 319], "depend": [9, 10, 11, 37, 48, 64, 85, 93, 100, 173, 243, 248, 257, 258, 260, 269, 280, 282, 284, 285, 286, 290, 292, 306, 308, 321, 322, 324, 326, 328, 329, 330, 332, 335, 337, 338, 339, 340, 342], "reflect": [9, 10, 11, 64, 90, 211, 212, 239, 241, 257, 263, 275, 317, 318, 320], "cm": [9, 10, 11, 325], "dimens": [9, 10, 35, 36, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 55, 56, 57, 58, 61, 62, 63, 64, 65, 67, 68, 69, 70, 75, 76, 77, 78, 79, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 100, 101, 102, 103, 104, 106, 107, 108, 109, 110, 111, 112, 113, 114, 122, 130, 134, 136, 142, 200, 208, 211, 212, 215, 216, 218, 219, 220, 221, 222, 223, 224, 225, 238, 239, 240, 241, 242, 244, 245, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 279, 280, 281, 297, 321, 326, 335, 340], "log": [9, 59, 113, 119, 200, 201, 258, 260, 282, 286, 313, 315, 320, 325, 327, 331, 333], 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11, 213, 325], "han": [9, 10, 11, 304], "rectangular": [9, 10, 11, 53], "return": [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 159, 160, 161, 165, 166, 171, 172, 173, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 233, 235, 236, 237, 238, 239, 240, 241, 242, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 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182, 183, 184, 185, 186, 187, 198, 200, 230, 231, 287, 289, 296, 298, 304, 309, 327, 334, 335, 337], "infer": [9, 54, 83, 94, 100, 113, 116, 117, 118, 119, 120, 122, 150, 159, 171, 198, 230, 231, 233, 234, 235, 243, 244, 267, 287, 296, 297, 298, 319, 326, 334, 342], "ctc": [9, 34, 54, 59, 72, 83, 85, 100, 113, 116, 117, 118, 119, 120, 198, 200, 269, 287, 297, 304, 326, 327, 334, 335, 336], "cepstral_lift": 10, "22": [10, 200, 207, 282, 285, 286, 304, 313, 320, 321, 326, 327, 331, 332, 342], "num_cep": 10, "control": [10, 43, 46, 64, 77, 83, 90, 92, 105, 130, 142, 208, 239, 241, 257, 263, 271, 275, 284, 304, 322, 331, 340, 341], "cepstra": 10, "c0": 10, "fbank": [10, 314, 318], "padded_window_s": 11, "class": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 85, 94, 95, 98, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 117, 130, 143, 144, 145, 146, 147, 159, 160, 161, 164, 165, 166, 171, 172, 173, 198, 199, 200, 201, 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239, 304], "allow": [12, 19, 20, 26, 28, 46, 49, 50, 54, 58, 77, 79, 84, 93, 94, 100, 130, 171, 223, 280, 284, 285, 307, 313, 314, 315, 319, 320, 322, 330, 331, 342], "ahw": 12, "aup": 12, "awb": 12, "axb": 12, "bdl": 12, "clb": 12, "eei": 12, "fem": 12, "gka": 12, "jmk": 12, "ksp": 12, "ljm": 12, "lnh": 12, "rm": 12, "rxr": 12, "slp": 12, "slt": [12, 304], "top": [12, 15, 17, 18, 19, 20, 21, 24, 25, 26, 27, 29, 32, 108, 116, 142, 159, 203, 225, 292, 293, 307, 308, 313, 314, 330, 333, 336, 340], "level": [12, 15, 17, 18, 19, 20, 21, 24, 25, 26, 27, 29, 32, 54, 93, 203, 204, 211, 280, 282, 283, 285, 286, 292, 293, 307, 308, 322, 326, 333, 338], "whether": [12, 13, 15, 17, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 64, 90, 116, 118, 130, 142, 216, 220, 223, 239, 241, 254, 257, 258, 260, 263, 275, 278, 313], "tupl": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 59, 91, 100, 101, 104, 106, 107, 108, 111, 113, 114, 116, 130, 142, 148, 160, 172, 173, 198, 200, 203, 214, 215, 216, 226, 244, 245, 276, 277, 282, 284, 286, 290, 319], "th": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 38, 64, 90, 101, 104, 107, 203, 207, 215, 239, 241, 257, 263, 270, 273, 275, 304, 314], "rate": [12, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 39, 40, 41, 42, 43, 50, 52, 55, 58, 63, 66, 67, 68, 71, 78, 79, 80, 84, 89, 92, 93, 94, 95, 98, 100, 105, 123, 124, 125, 159, 164, 165, 166, 173, 198, 199, 200, 203, 205, 206, 210, 212, 216, 233, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 256, 258, 259, 260, 262, 263, 267, 274, 279, 280, 284, 285, 292, 293, 297, 312, 315, 316, 317, 318, 319, 320, 321, 322, 324, 326, 327, 328, 329, 331, 332, 333, 335, 336, 337, 338, 339, 341, 342], "transcript": [12, 16, 19, 21, 22, 27, 28, 29, 107, 108, 122, 159, 181, 184, 198, 201, 202, 218, 313, 314, 322, 323, 327, 332], "utter": [12, 15, 18, 19, 20, 22, 26, 29, 31, 88, 104, 215, 272, 315], "exclude_punctu": 13, "svn": 13, "sf": 13, "net": [13, 36, 40, 41, 42, 43, 46, 49, 50, 58, 77, 79, 84, 92, 93, 243, 280, 283, 304, 336], "p": [13, 69, 70, 102, 171, 198, 200, 278, 284, 287, 304, 313, 314, 321, 322, 323, 326, 327, 335, 336, 342], "cmusphinx": 13, "trunk": 13, "7b": 13, "url_symbol": 13, "pronounc": 13, "dictionari": [13, 14, 118, 165, 166, 171, 198, 199, 200, 233, 290, 297, 304, 321, 327, 335, 337], "weid": [13, 304], "1998": [13, 304], "exclud": [13, 298], "pronounci": 13, "punctuat": [13, 326], "exclam": 13, "hash": 13, "mark": [13, 304, 306], "phonem": [13, 28, 168, 170, 171, 288, 297, 321], "aa": [13, 282, 286], "ae": 13, "ah": [13, 171, 342], "word": [13, 28, 54, 116, 117, 118, 158, 202, 313, 314, 318, 326, 335], "tsv": 14, "train": [14, 15, 16, 17, 19, 20, 23, 24, 26, 27, 28, 30, 102, 104, 105, 106, 107, 111, 112, 114, 130, 142, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 214, 215, 221, 222, 223, 230, 231, 232, 233, 234, 235, 287, 295, 297, 301, 304, 313, 314, 315, 319, 321, 326, 327, 328, 332, 335, 336, 342], "ardila": [14, 191, 192, 193, 194, 304], "present": [14, 284, 285, 292, 293, 314, 320, 321, 323, 340], "construct": [14, 118, 149, 150, 151, 152, 159, 162, 163, 164, 165, 166, 198, 199, 200, 230, 231, 232, 233, 235, 292, 293, 295, 301, 321, 325, 330, 335, 337], "invalid": [14, 284, 324], "valid": [14, 16, 17, 24, 26, 27, 28, 35, 47, 56, 91, 101, 104, 106, 107, 108, 111, 113, 114, 116, 117, 118, 119, 120, 130, 134, 142, 171, 172, 173, 208, 210, 214, 215, 243, 246, 247, 250, 252, 256, 276, 277, 283, 284, 285, 292, 338, 342], "dict": [14, 28, 116, 200, 239, 241, 242, 255, 257, 258, 260, 263, 267, 274, 275, 282, 283, 284, 285, 286, 328], "client_id": 14, "sentenc": [14, 54, 111, 116], "up_vot": 14, "down_vot": 14, "ag": [14, 314], "gender": 14, 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\ No newline at end of file
diff --git a/main/sox_effects.html b/main/sox_effects.html
index fe5a322caf4..fdcaf7de321 100644
--- a/main/sox_effects.html
+++ b/main/sox_effects.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.sox_effects &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.sox_effects &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/supported_features.html b/main/supported_features.html
index d8e93205ffa..bdb0b164c29 100644
--- a/main/supported_features.html
+++ b/main/supported_features.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Supported Features &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Supported Features &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/torchaudio.html b/main/torchaudio.html
index addde76ed9a..09fbfa59613 100644
--- a/main/torchaudio.html
+++ b/main/torchaudio.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/torio.html b/main/torio.html
index 0850b33c8cf..a9a0c08f33f 100644
--- a/main/torio.html
+++ b/main/torio.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torio &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torio &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/torio.io.html b/main/torio.io.html
index 91d3e86bc05..40ff267b0de 100644
--- a/main/torio.io.html
+++ b/main/torio.io.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torio.io &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torio.io &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/torio.utils.html b/main/torio.utils.html
index ed48aded2ea..cece6309dde 100644
--- a/main/torio.utils.html
+++ b/main/torio.utils.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torio.utils &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torio.utils &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/transforms.html b/main/transforms.html
index aaa326f29f4..714ea65ce3b 100644
--- a/main/transforms.html
+++ b/main/transforms.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.transforms &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.transforms &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -438,7 +438,7 @@
 <h1>torchaudio.transforms<a class="headerlink" href="#torchaudio-transforms" title="Permalink to this heading">¶</a></h1>
 <p><code class="docutils literal notranslate"><span class="pre">torchaudio.transforms</span></code> module contains common audio processings and feature extractions. The following diagram shows the relationship between some of the available transforms.</p>
 <img alt="https://download.pytorch.org/torchaudio/tutorial-assets/torchaudio_feature_extractions.png" src="https://download.pytorch.org/torchaudio/tutorial-assets/torchaudio_feature_extractions.png" />
-<p>Transforms are implemented using <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></a>. Common ways to build a processing pipeline are to define custom Module class or chain Modules together using <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Sequential.html#torch.nn.Sequential" title="(in PyTorch v2.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.nn.Sequential</span></code></a>, then move it to a target device and data type.</p>
+<p>Transforms are implemented using <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></a>. Common ways to build a processing pipeline are to define custom Module class or chain Modules together using <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Sequential.html#torch.nn.Sequential" title="(in PyTorch v2.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.nn.Sequential</span></code></a>, then move it to a target device and data type.</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># Define custom feature extraction pipeline.</span>
 <span class="c1">#</span>
 <span class="c1"># 1. Resample audio</span>
diff --git a/main/tutorials/additive_synthesis_tutorial.html b/main/tutorials/additive_synthesis_tutorial.html
index 1a4d7bbd0bd..3d0654d11bb 100644
--- a/main/tutorials/additive_synthesis_tutorial.html
+++ b/main/tutorials/additive_synthesis_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Additive Synthesis &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Additive Synthesis &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -484,8 +484,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 <section id="overview">
@@ -793,7 +793,7 @@ <h2>References<a class="headerlink" href="#references" title="Permalink to this
 <li><p><a class="reference external" href="https://computermusicresource.com/Simple.bell.tutorial.html">https://computermusicresource.com/Simple.bell.tutorial.html</a></p></li>
 <li><p><a class="reference external" href="https://computermusicresource.com/Definitions/additive.synthesis.html">https://computermusicresource.com/Definitions/additive.synthesis.html</a></p></li>
 </ul>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  4.864 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  4.856 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-additive-synthesis-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/3b47d1fda1ff1ba89f9df8fcc2d3ba6d/additive_synthesis_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">additive_synthesis_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/asr_inference_with_ctc_decoder_tutorial.html b/main/tutorials/asr_inference_with_ctc_decoder_tutorial.html
index 41d111d6e48..4f6695ba318 100644
--- a/main/tutorials/asr_inference_with_ctc_decoder_tutorial.html
+++ b/main/tutorials/asr_inference_with_ctc_decoder_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ASR Inference with CTC Decoder &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>ASR Inference with CTC Decoder &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -503,8 +503,8 @@ <h2>Acoustic Model and Set Up<a class="headerlink" href="#acoustic-model-and-set
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">time</span>
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 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &quot;https://download.pytorch.org/torchaudio/models/wav2vec2_fairseq_base_ls960_asr_ll10m.pth&quot; to /root/.cache/torch/hub/checkpoints/wav2vec2_fairseq_base_ls960_asr_ll10m.pth
 
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 <p>We will load a sample from the LibriSpeech test-other dataset.</p>
@@ -720,389 +690,114 @@ <h4>Downloading Pretrained Files<a class="headerlink" href="#downloading-pretrai
 </pre></div>
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- 43%|####3     | 1.26G/2.91G [00:26&lt;00:24, 71.0MB/s]
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- 44%|####3     | 1.28G/2.91G [00:27&lt;00:26, 65.5MB/s]
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 PretrainedFiles(lexicon=&#39;/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/lexicon.txt&#39;, tokens=&#39;/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/tokens.txt&#39;, lm=&#39;/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/lm.bin&#39;)
 </pre></div>
 </div>
@@ -1396,9 +1091,9 @@ <h3>beam size<a class="headerlink" href="#beam-size" title="Permalink to this he
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam size 1  : i you ery much afra of shongut shot i was at some arte what he sad (score: 3144.93; 0.0444 secs)
-beam size 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3688.02; 0.0513 secs)
-beam size 50 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.1642 secs)
-beam size 500: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.5334 secs)
+beam size 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3688.02; 0.0514 secs)
+beam size 50 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.1633 secs)
+beam size 500: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.5323 secs)
 </pre></div>
 </div>
 </section>
@@ -1424,10 +1119,10 @@ <h3>beam size token<a class="headerlink" href="#beam-size-token" title="Permalin
     <span class="n">print_decoded</span><span class="p">(</span><span class="n">beam_search_decoder</span><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">,</span> <span class="s2">&quot;beam size token&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">beam_size_token</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam size token 1  : i rely was very much affray of showing him hoch shot i was at some part of what he sed (score: 3584.80; 0.1596 secs)
-beam size token 5  : i rely was very much afraid of showing him how much shocked i was at some part of what he said (score: 3694.83; 0.1801 secs)
-beam size token 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3696.25; 0.1991 secs)
-beam size token 29 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2304 secs)
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam size token 1  : i rely was very much affray of showing him hoch shot i was at some part of what he sed (score: 3584.80; 0.1562 secs)
+beam size token 5  : i rely was very much afraid of showing him how much shocked i was at some part of what he said (score: 3694.83; 0.1767 secs)
+beam size token 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3696.25; 0.1959 secs)
+beam size token 29 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2270 secs)
 </pre></div>
 </div>
 </section>
@@ -1454,10 +1149,10 @@ <h3>beam threshold<a class="headerlink" href="#beam-threshold" title="Permalink
     <span class="n">print_decoded</span><span class="p">(</span><span class="n">beam_search_decoder</span><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">,</span> <span class="s2">&quot;beam threshold&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">beam_threshold</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam threshold 1  : i ila ery much afraid of shongut shot i was at some parts of what he said (score: 3316.20; 0.0284 secs)
-beam threshold 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3682.23; 0.0647 secs)
-beam threshold 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2124 secs)
-beam threshold 25 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2349 secs)
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam threshold 1  : i ila ery much afraid of shongut shot i was at some parts of what he said (score: 3316.20; 0.0286 secs)
+beam threshold 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3682.23; 0.0477 secs)
+beam threshold 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2082 secs)
+beam threshold 25 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2292 secs)
 </pre></div>
 </div>
 </section>
@@ -1482,9 +1177,9 @@ <h3>language model weight<a class="headerlink" href="#language-model-weight" tit
     <span class="n">print_decoded</span><span class="p">(</span><span class="n">beam_search_decoder</span><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">,</span> <span class="s2">&quot;lm weight&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">lm_weight</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>lm weight 0  : i rely was very much affraid of showing him ho much shoke i was at some parte of what he seid (score: 3834.05; 0.2570 secs)
-lm weight 3.23: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2630 secs)
-lm weight 15 : was there in his was at some of what he said (score: 2918.99; 0.2428 secs)
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>lm weight 0  : i rely was very much affraid of showing him ho much shoke i was at some parte of what he seid (score: 3834.05; 0.2509 secs)
+lm weight 3.23: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2578 secs)
+lm weight 15 : was there in his was at some of what he said (score: 2918.99; 0.2340 secs)
 </pre></div>
 </div>
 </section>
@@ -1497,7 +1192,7 @@ <h3>additional parameters<a class="headerlink" href="#additional-parameters" tit
 <li><p><code class="docutils literal notranslate"><span class="pre">sil_score</span></code>: silence appearance score to add</p></li>
 <li><p><code class="docutils literal notranslate"><span class="pre">log_add</span></code>: whether to use log add for lexicon Trie smearing</p></li>
 </ul>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  0.134 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  58.495 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-asr-inference-with-ctc-decoder-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/da151acc525ba1fb468e2a4904659af1/asr_inference_with_ctc_decoder_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">asr_inference_with_ctc_decoder_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/asr_inference_with_cuda_ctc_decoder_tutorial.html b/main/tutorials/asr_inference_with_cuda_ctc_decoder_tutorial.html
index bc65a5ba486..d0ada8828bc 100644
--- a/main/tutorials/asr_inference_with_cuda_ctc_decoder_tutorial.html
+++ b/main/tutorials/asr_inference_with_cuda_ctc_decoder_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ASR Inference with CUDA CTC Decoder &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>ASR Inference with CUDA CTC Decoder &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -498,8 +498,8 @@ <h2>Acoustic Model and Set Up<a class="headerlink" href="#acoustic-model-and-set
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">time</span>
@@ -530,14 +530,27 @@ <h2>Acoustic Model and Set Up<a class="headerlink" href="#acoustic-model-and-set
 </pre></div>
 </div>
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 </pre></div>
 </div>
 <p>We will load a sample from the LibriSpeech test-other dataset.</p>
@@ -548,7 +561,7 @@ <h2>Acoustic Model and Set Up<a class="headerlink" href="#acoustic-model-and-set
 </pre></div>
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@@ -597,7 +610,7 @@ <h3>Tokens<a class="headerlink" href="#tokens" title="Permalink to this heading"
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&#39;▁UNTIL&#39;, &#39;Q&#39;]
 </pre></div>
 </div>
@@ -804,7 +817,7 @@ <h2>Benchmark with flashlight CPU decoder<a class="headerlink" href="#benchmark-
 </tbody>
 </table>
 <p>From the above table, CUDA decoder could give a slight improvement in WER and a significant increase in throughput.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  2.491 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  8.108 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-asr-inference-with-cuda-ctc-decoder-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/3956cf493d21711e687e9610c91f9cd1/asr_inference_with_cuda_ctc_decoder_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">asr_inference_with_cuda_ctc_decoder_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/audio_data_augmentation_tutorial.html b/main/tutorials/audio_data_augmentation_tutorial.html
index 9e4c78b5c80..5f80fd0db3c 100644
--- a/main/tutorials/audio_data_augmentation_tutorial.html
+++ b/main/tutorials/audio_data_augmentation_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Audio Data Augmentation &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
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@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -478,8 +478,8 @@
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 </pre></div>
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+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 <section id="preparation">
@@ -496,13 +496,13 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
 </pre></div>
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 </div>
 </section>
@@ -1046,7 +1046,7 @@ <h3>Codec applied<a class="headerlink" href="#codec-applied" title="Permalink to
 
 </div>
 <br />
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+<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  14.502 seconds)</p>
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 <div class="sphx-glr-download sphx-glr-download-python docutils container">
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diff --git a/main/tutorials/audio_datasets_tutorial.html b/main/tutorials/audio_datasets_tutorial.html
index ec228a23046..6c3426a685f 100644
--- a/main/tutorials/audio_datasets_tutorial.html
+++ b/main/tutorials/audio_datasets_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Audio Datasets &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Audio Datasets &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
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+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -474,8 +474,8 @@
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 </div>
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+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
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 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
@@ -505,11 +505,10 @@
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/4.49M [00:00&lt;?, ?B/s]
-  3%|2         | 128k/4.49M [00:00&lt;00:08, 526kB/s]
- 11%|#1        | 512k/4.49M [00:00&lt;00:02, 1.42MB/s]
- 33%|###3      | 1.50M/4.49M [00:00&lt;00:00, 4.08MB/s]
- 81%|########  | 3.62M/4.49M [00:00&lt;00:00, 8.29MB/s]
-100%|##########| 4.49M/4.49M [00:00&lt;00:00, 7.05MB/s]
+  3%|2         | 128k/4.49M [00:00&lt;00:08, 531kB/s]
+ 11%|#1        | 512k/4.49M [00:00&lt;00:02, 1.44MB/s]
+ 42%|####1     | 1.88M/4.49M [00:00&lt;00:00, 4.43MB/s]
+100%|##########| 4.49M/4.49M [00:00&lt;00:00, 7.11MB/s]
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">i</span></a> <span class="o">=</span> <span class="mi">1</span>
@@ -557,7 +556,7 @@
 
 </div>
 <br />
-<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.829 seconds)</p>
+<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.942 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-audio-datasets-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/85c13601458553ad52e6b12e51df5327/audio_datasets_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_datasets_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/audio_feature_augmentation_tutorial.html b/main/tutorials/audio_feature_augmentation_tutorial.html
index 8d33d899f64..c7e21f8d193 100644
--- a/main/tutorials/audio_feature_augmentation_tutorial.html
+++ b/main/tutorials/audio_feature_augmentation_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Audio Feature Augmentation &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Audio Feature Augmentation &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -476,8 +476,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 <section id="preparation">
@@ -638,7 +638,7 @@ <h2>Time and Frequency Masking<a class="headerlink" href="#time-and-frequency-ma
 <span class="n">plot</span><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_audio_feature_augmentation_tutorial_002.png" srcset="../_images/sphx_glr_audio_feature_augmentation_tutorial_002.png" alt="Original, Masked along time axis, Masked along frequency axis" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  2.270 seconds)</p>
+<img src="../_images/sphx_glr_audio_feature_augmentation_tutorial_002.png" srcset="../_images/sphx_glr_audio_feature_augmentation_tutorial_002.png" alt="Original, Masked along time axis, Masked along frequency axis" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  2.274 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-audio-feature-augmentation-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/990b89939a1ec55aa67059703f290ab8/audio_feature_augmentation_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_feature_augmentation_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/audio_feature_extractions_tutorial.html b/main/tutorials/audio_feature_extractions_tutorial.html
index abf5e068258..59b04d04533 100644
--- a/main/tutorials/audio_feature_extractions_tutorial.html
+++ b/main/tutorials/audio_feature_extractions_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Audio Feature Extractions &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Audio Feature Extractions &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -484,8 +484,8 @@
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 <section id="overview-of-audio-features">
@@ -903,7 +903,7 @@ <h2>Pitch<a class="headerlink" href="#pitch" title="Permalink to this heading">
 <span class="n">plot_pitch</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">SPEECH_WAVEFORM</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">SAMPLE_RATE</span></a><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pitch</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_audio_feature_extractions_tutorial_012.png" srcset="../_images/sphx_glr_audio_feature_extractions_tutorial_012.png" alt="Pitch Feature" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  10.000 seconds)</p>
+<img src="../_images/sphx_glr_audio_feature_extractions_tutorial_012.png" srcset="../_images/sphx_glr_audio_feature_extractions_tutorial_012.png" alt="Pitch Feature" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  9.814 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-audio-feature-extractions-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/0face80178ed0d1cefd2a173a7262afb/audio_feature_extractions_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_feature_extractions_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/audio_io_tutorial.html b/main/tutorials/audio_io_tutorial.html
index 7d842fafa25..a1f05128529 100644
--- a/main/tutorials/audio_io_tutorial.html
+++ b/main/tutorials/audio_io_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Audio I/O &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Audio I/O &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -479,8 +479,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 <section id="preparation">
@@ -524,10 +524,10 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/7.99k [00:00&lt;?, ?B/s]
-100%|##########| 7.99k/7.99k [00:00&lt;00:00, 6.04MB/s]
+100%|##########| 7.99k/7.99k [00:00&lt;00:00, 12.3MB/s]
 
   0%|          | 0.00/53.2k [00:00&lt;?, ?B/s]
-100%|##########| 53.2k/53.2k [00:00&lt;00:00, 42.3MB/s]
+100%|##########| 53.2k/53.2k [00:00&lt;00:00, 74.8MB/s]
 </pre></div>
 </div>
 </section>
@@ -696,7 +696,7 @@ <h2>Loading from file-like object<a class="headerlink" href="#loading-from-file-
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_audio_io_tutorial_004.png" srcset="../_images/sphx_glr_audio_io_tutorial_004.png" alt="TAR file" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/110k [00:00&lt;?, ?B/s]
-100%|##########| 110k/110k [00:00&lt;00:00, 107MB/s]
+100%|##########| 110k/110k [00:00&lt;00:00, 45.0MB/s]
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># Load audio from S3</span>
@@ -797,7 +797,7 @@ <h2>Saving audio to file<a class="headerlink" href="#saving-audio-to-file" title
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>----------
-Source: /tmp/tmpwera7kl2/save_example_default.wav
+Source: /tmp/tmp7vhcr81s/save_example_default.wav
 ----------
  - File size: 108878 bytes
  - AudioMetaData(sample_rate=16000, num_frames=54400, num_channels=1, bits_per_sample=16, encoding=PCM_S)
@@ -812,7 +812,7 @@ <h2>Saving audio to file<a class="headerlink" href="#saving-audio-to-file" title
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>----------
-Source: /tmp/tmpph69rx0z/save_example_PCM_S16.wav
+Source: /tmp/tmpmoqmzq78/save_example_PCM_S16.wav
 ----------
  - File size: 108878 bytes
  - AudioMetaData(sample_rate=16000, num_frames=54400, num_channels=1, bits_per_sample=16, encoding=PCM_S)
@@ -839,7 +839,7 @@ <h2>Saving audio to file<a class="headerlink" href="#saving-audio-to-file" title
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>----------
-Source: /tmp/tmpimc5s4c8/save_example.flac
+Source: /tmp/tmpsklyf9cp/save_example.flac
 ----------
  - File size: 45262 bytes
  - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=16, encoding=FLAC)
@@ -864,7 +864,7 @@ <h2>Saving to file-like object<a class="headerlink" href="#saving-to-file-like-o
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>b&#39;RIFFF\xa9\x01\x00WAVEfmt &#39;
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.681 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  2.217 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-audio-io-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/a50b7a9d7eda039b9579621100be1417/audio_io_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_io_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/audio_resampling_tutorial.html b/main/tutorials/audio_resampling_tutorial.html
index 83b95ec38a1..f9c8473aab7 100644
--- a/main/tutorials/audio_resampling_tutorial.html
+++ b/main/tutorials/audio_resampling_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Audio Resampling &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Audio Resampling &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -474,8 +474,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 <section id="preparation">
@@ -780,7 +780,7 @@ <h2>Performance Benchmarking<a class="headerlink" href="#performance-benchmarkin
 <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;resampy: </span><span class="si">{</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">resampy</span><span class="o">.</span><span class="n">__version__</span></a><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>torchaudio: 2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>torchaudio: 2.2.0.dev20240503
 librosa: 0.10.0
 resampy: 0.2.2
 </pre></div>
@@ -944,10 +944,10 @@ <h3>Downsample (48 -&gt; 44.1 kHz)<a class="headerlink" href="#downsample-48-44-
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_audio_resampling_tutorial_013.png" srcset="../_images/sphx_glr_audio_resampling_tutorial_013.png" alt="audio resampling tutorial" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>                 librosa  functional  transforms
-sinc (width 64)      NaN        0.87        0.39
-sinc (width 16)      NaN        0.70        0.36
-kaiser_best        84.25        1.22        0.39
-kaiser_fast         7.90        0.96        0.36
+sinc (width 64)      NaN        0.90        0.39
+sinc (width 16)      NaN        0.73        0.34
+kaiser_best        82.91        1.25        0.38
+kaiser_fast         7.83        0.98        0.34
 </pre></div>
 </div>
 </section>
@@ -958,10 +958,10 @@ <h3>Downsample (16 -&gt; 8 kHz)<a class="headerlink" href="#downsample-16-8-khz"
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_audio_resampling_tutorial_014.png" srcset="../_images/sphx_glr_audio_resampling_tutorial_014.png" alt="audio resampling tutorial" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>                 librosa  functional  transforms
-sinc (width 64)      NaN        1.37        1.20
-sinc (width 16)      NaN        0.54        0.39
-kaiser_best        11.31        1.40        1.22
-kaiser_fast         3.14        0.61        0.43
+sinc (width 64)      NaN        1.27        1.09
+sinc (width 16)      NaN        0.53        0.37
+kaiser_best        11.24        1.39        1.15
+kaiser_fast         3.12        0.60        0.41
 </pre></div>
 </div>
 </section>
@@ -972,10 +972,10 @@ <h3>Upsample (44.1 -&gt; 48 kHz)<a class="headerlink" href="#upsample-44-1-48-kh
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_audio_resampling_tutorial_015.png" srcset="../_images/sphx_glr_audio_resampling_tutorial_015.png" alt="audio resampling tutorial" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>                 librosa  functional  transforms
-sinc (width 64)      NaN        0.86        0.40
-sinc (width 16)      NaN        0.71        0.35
-kaiser_best        32.72        1.09        0.37
-kaiser_fast         7.86        0.95        0.36
+sinc (width 64)      NaN        0.86        0.37
+sinc (width 16)      NaN        0.71        0.33
+kaiser_best        32.64        1.11        0.36
+kaiser_fast         7.83        0.94        0.33
 </pre></div>
 </div>
 </section>
@@ -986,10 +986,10 @@ <h3>Upsample (8 -&gt; 16 kHz)<a class="headerlink" href="#upsample-8-16-khz" tit
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_audio_resampling_tutorial_016.png" srcset="../_images/sphx_glr_audio_resampling_tutorial_016.png" alt="audio resampling tutorial" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>                 librosa  functional  transforms
-sinc (width 64)      NaN        0.75        0.55
-sinc (width 16)      NaN        0.38        0.22
-kaiser_best        11.23        0.79        0.56
-kaiser_fast         2.98        0.42        0.25
+sinc (width 64)      NaN        0.65        0.43
+sinc (width 16)      NaN        0.37        0.22
+kaiser_best        11.17        0.67        0.44
+kaiser_fast         2.96        0.41        0.21
 </pre></div>
 </div>
 </section>
@@ -1006,7 +1006,7 @@ <h3>Summary<a class="headerlink" href="#summary" title="Permalink to this headin
 <li><p>a large GCD between the sample and resample rate will result
 in a simplification that allows for a smaller kernel and faster kernel computation.</p></li>
 </ul>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.372 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.349 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-audio-resampling-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/59ad7db3945dd23dbc0f8d9eef766370/audio_resampling_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_resampling_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/ctc_forced_alignment_api_tutorial.html b/main/tutorials/ctc_forced_alignment_api_tutorial.html
index 340be572146..7e3e7783963 100644
--- a/main/tutorials/ctc_forced_alignment_api_tutorial.html
+++ b/main/tutorials/ctc_forced_alignment_api_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>CTC forced alignment API tutorial &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>CTC forced alignment API tutorial &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -486,8 +486,8 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="torch.device" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a> <span class="o">=</span> <a href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="torch.device" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">device</span></a><span class="p">(</span><span class="s2">&quot;cuda&quot;</span> <span class="k">if</span> <a href="https://pytorch.org/docs/stable/generated/torch.cuda.is_available.html#torch.cuda.is_available" title="torch.cuda.is_available" class="sphx-glr-backref-module-torch-cuda sphx-glr-backref-type-py-function"><span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span></a><span class="p">()</span> <span class="k">else</span> <span class="s2">&quot;cpu&quot;</span><span class="p">)</span>
@@ -527,56 +527,82 @@ <h3>Generating emissions<a class="headerlink" href="#generating-emissions" title
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">bundle</span> <span class="o">=</span> <span class="n">torchaudio</span><span class="o">.</span><span class="n">pipelines</span><span class="o">.</span><span class="n">MMS_FA</span>
 
 <span class="n">model</span> <span class="o">=</span> <span class="n">bundle</span><span class="o">.</span><span class="n">get_model</span><span class="p">(</span><span class="n">with_star</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="torch.device" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">)</span>
-<span class="k">with</span> <a href="https://pytorch.org/docs/stable/generated/torch.inference_mode.html#torch.inference_mode" title="torch.inference_mode" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span></a><span class="p">():</span>
+<span class="k">with</span> <a href="https://pytorch.org/docs/stable/generated/torch.autograd.grad_mode.inference_mode.html#torch.autograd.grad_mode.inference_mode" title="torch.autograd.grad_mode.inference_mode" class="sphx-glr-backref-module-torch-autograd-grad_mode sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span></a><span class="p">():</span>
     <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">waveform</span></a><span class="o">.</span><span class="n">to</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="torch.device" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">))</span>
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &quot;https://dl.fbaipublicfiles.com/mms/torchaudio/ctc_alignment_mling_uroman/model.pt&quot; to /root/.cache/torch/hub/checkpoints/model.pt
 
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 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">plot_emission</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">):</span>
@@ -1332,7 +1358,7 @@ <h2>Acknowledgement<a class="headerlink" href="#acknowledgement" title="Permalin
 <p>Thanks to <a class="reference external" href="mailto:vineelkpratap&#37;&#52;&#48;meta&#46;com">Vineel Pratap</a> and <a class="reference external" href="mailto:zni&#37;&#52;&#48;meta&#46;com">Zhaoheng
 Ni</a> for developing and open-sourcing the
 forced aligner API.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  8.047 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  11.019 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-ctc-forced-alignment-api-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/fd312a07c77ccd892cb337379bf91f16/ctc_forced_alignment_api_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">ctc_forced_alignment_api_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/device_asr.html b/main/tutorials/device_asr.html
index 60d68c327c3..081c8df85f1 100644
--- a/main/tutorials/device_asr.html
+++ b/main/tutorials/device_asr.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Device ASR with Emformer RNN-T &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Device ASR with Emformer RNN-T &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/tutorials/device_avsr.html b/main/tutorials/device_avsr.html
index 86762419a0b..1e263362e8f 100644
--- a/main/tutorials/device_avsr.html
+++ b/main/tutorials/device_avsr.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Device AV-ASR with Emformer RNN-T &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Device AV-ASR with Emformer RNN-T &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/tutorials/effector_tutorial.html b/main/tutorials/effector_tutorial.html
index 628ed7986b2..559c3f73db5 100644
--- a/main/tutorials/effector_tutorial.html
+++ b/main/tutorials/effector_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>AudioEffector Usages &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>AudioEffector Usages &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -487,8 +487,8 @@ <h2>Overview<a class="headerlink" href="#overview" title="Permalink to this head
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">torchaudio.io</span> <span class="kn">import</span> <span class="n">AudioEffector</span><span class="p">,</span> <span class="n">CodecConfig</span>
@@ -801,10 +801,14 @@ <h3>vibrato<a class="headerlink" href="#vibrato" title="Permalink to this headin
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">show</span><span class="p">(</span><span class="s2">&quot;vibrato=f=10:d=0.8&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_effector_tutorial_016.png" srcset="../_images/sphx_glr_effector_tutorial_016.png" alt="effector tutorial" class = "sphx-glr-single-img"/><div class="output_subarea output_html rendered_html output_result">
+<img src="../_images/sphx_glr_effector_tutorial_016.png" srcset="../_images/sphx_glr_effector_tutorial_016.png" alt="effector tutorial" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/pytorch/audio/ci_env/lib/python3.10/site-packages/IPython/lib/display.py:188: RuntimeWarning: invalid value encountered in cast
+  return scaled.astype(&quot;&lt;h&quot;).tobytes(), nchan
+</pre></div>
+</div>
+<div class="output_subarea output_html rendered_html output_result">
 
                 <audio  controls="controls" >
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HIAegCDAJAAkACGAI0AmwCwAK0AngCOAIsAlwCfAKYAqACaAH4AggCHAIIAdQBeAFMASgBQAE8ARwA/AC4AIwA9AEMAQwA3ACIAGQAMAAYABwAPAAwACwAeAC0AGgABAAAA9P/6//b/8v/Y/+v////t/+L/9P/z/+7/+//z/8v/wv/G/8b/wv/O/9//zf+5/9P/8f/m/9f/vv+n/5H/m/+4/77/sP+o/7P/wf/E/7X/v//N/8n/zf/N/7P/mf+E/6X/tP+4/87/1v/D/7z/zP/E/6//v//Y/9j/z//N/9f/2f/l/9v/x/+8/8j/2//W/8b/n/+k/8r/yv/F/8j/wf+//9H/z//D/7T/qP+y/7f/wv+t/6D/p/+t/8j/2f/O/7j/u/++/8j/uf+j/7H/p/+c/4T/jv+N/4z/nv+c/4r/h/+V/4j/kP+e/53/if99/3r/Z/9S/zz/Tv9c/07/MP8m/zr/Q/89/z3/Pf9D/zr/Pv9R/13/T/9K/0X/Mf8g/xH/Ef8b/w3/Av8Q/xn/Ff8S/wf/+f4H/yD/Jf8j/xX//v4F/wv/DP8C//T+9v4I/xP/Jf8z/yb/Ff8c/zX/RP8z/xn/If8z/y3/K/8z/0n/Uf9F/0f/Rv9E/1L/WP9H/zj/P/8+/zj/LP8P/wT//P7x/tr+1P7g/un++/4G/x7/Kf8U//n+4/7e/tv+xP7A/rb+yP7Z/sj+zf7W/vD+5f7Z/tf+zf6//sL+0/7H/sz+3f7Y/tX+1f7U/sP+xf7G/sb+w/7E/rr+sP6f/qT+yf7D/rT+tP6a/of+j/6j/q/+mv6G/qD+mf6J/nz+dv5s/lv+VP5d/mP+YP5d/mb+Zv5d/mf+ff6J/nz+b/6I/of+dP52/o/+l/6W/qb+u/64/sH+2v7Z/sL+uP7E/s3+xv69/rX+xP69/tD+6f7v/t3+1/7t/vD+3f7k/vj+9P7n/vH++/73/vn++v7p/s7+3v74/gL/DP8g/zj/Sf9I/z3/QP9M/0//P/82/0L/OP88/zv/NP84/0b/S/9M/03/Qv9I/1T/Vv9E/zz/Of9B/0H/Sf9I/0b/WP9p/2//aP9e/2f/eP9w/4X/jv96/2//av+E/4X/cv9w/3H/bf9x/4X/lv+c/6//qP+e/47/iv+X/6H/p/+h/6P/sf+5/5//kv+k/6j/p/+t/8z/0f/P/8r/0f/Y/9r/4v/w//P/9/8IABUAFgATABoAGwATADIAWgBiAEcAOQBIAF4AZgBgAGYAcwBxAGYAZABmAGYAZwB5AIYAgQB1AIMAlQCMAIIAgQCIAIEAeQB9AJkAogCuAKUAiQB8AHkAdwB5AHwAewB6AH0AkgCfAKUAuwDEALUAqgCzAMMA1gDRAMAArwCoAKwArgC3AMQAxwDOAMwA1ADfANEAyQDMAM0AwwC0AMQAxQCjAJ0ArwCtAJUAfwB4AHMAewCLAJoAlwCEAHAAcwB+AH8AggB9AHwAfwCBAJEAjwCeALgApQCGAIwAowCxALEAuADWANsA0QDVANAAwwCuAL0A1ADgAM4AzgDYAPMA+QD8APsA6QDpAOQA1ADeAOcA8gAKARcBGgEbASABKgEvASgBHwEnATQBNAEsASYBJgEvATsBRgFaAW4BdgF6AXsBdQFtAWoBagFuAXEBhwGEAYABgAGhAbcBrAGsAasBngGiAbIBwwHXAdwB0QHLAcQBvAG5AbYBuAHHAdMBzAHJAb4BtgG3Ab4BxAHSAdUBzwHVAdAB1wHVAc8B1gHqAfAB5AHeAeIB7QH8AQcCDgIUAvsB6QHkAfIB+gH7AfQB/wENAhUCFAINAgoC/gHrAeUB7wH7AQACAAIDAv0BAQIIAhMCDAL1AeIB2QHaAeYB+gH6AQcCAALxAegB2QHRAdkB4wHhAdwB4AHpAf0BCQIRAhcCHAIRAgQCAgIHAhICGgIcAhoCFwIaAh4CEwIZAiUCJQItAiUCEAILAhsCIgIiAhsCFAINAggCDwIKAv8BBQIZAiQCKQIzAioCJwIcAiQCOAJAAjUCJwIiAiUCMgIxAjUCMAIbAggCAgIDAhICKgIwAioCHgL2Ad0B2wHrAfkBBAIIAgEC+AHqAeIB6gHuAd8B1AHQAcwBywHWAdoBygG7AbsByAHaAdYBuQGfAZYBmgGnAbQBwwHPAdoB2AHJAcoB4wHtAeAB3gHRAcUBvgGxAZwBjwGTAawBrgG0AZ4BiQGJAZABkQGbAaoBsQGyAagBmgGLAYQBiwGIAZUBnQGVAZIBkQGUAaQBtgG4AbcBxQHOAccBugGsAZ0BmwGuAbgBsAGgAZEBigGLAY4BnwGmAZIBkAGUAY8BiQGSAaYBugHHAcwBxQG3AakBogGnAboBvAGrAbEBuAG7AbcBrgG4AcgB1AHKAcgB0gHiAeYBzwGzAb8BygHIAcsB2gHqAewB1wHPAdEB2QHXAdYB2AHVAdYB3QHRAcUBxwHOAc8BzQHUAdEBywGvAaIBqwG1AbMBtQHLAdcB1gHLAbgBpgGgAZoBrgHIAcgBuwGvAakBpgGVAZYBkQGMAYcBhwGDAXQBXgFGATwBQwFFAUQBPQEyAS0BJQEiARcBEwEXARsBGwEUAQ4BEQEhASsBLgEvAS4BIAEZARIBBAH6APIA8QD2APsA+QDjANoA4ADrAPEA8ADoANkA4wDpAPUABQEFAfUA7QD0AAMBBAEJAQQB+gD0APQA8QDvAPAA7gD/AAsBEAEYAR0BHQEeASEBIgEeARkBDwH8APMA9AD/AAoBEgEUARoBJgEcAQ8BCQEOARgBGQEQAQwBFAEVAf0A4gDZANYA3ADlAO4A+gD5APAA3QDmAPEA8gDlANIA0gDcAOkA3wDkAOgA5gDgANQAwAC6ALkAxgC+AKgAmQCRAIEAZgBTAFAAWABfAG4AgACMAI8AiwB/AG0AbABzAHMAZQBdAFwAVQBQAF4AVQBBADsANgA1AC8AGwD9/+///P/y/+3/7v/p/+H/zv+w/5z/pv+r/6j/qv+z/6z/nP+R/4v/gv93/2v/Z/9W/0D/Lv80/zH/H/8P/wv/Jf8k/xT/BP/+/vr+9P72/vn+AP8Q/xj/HP8N/wD/8P7i/tz+3f7g/uH+5P7s/uj+7v73/gT/8/7h/tv+3v7b/s/+x/7R/t7+4v7Z/tj+1P7S/tj+2P7W/tL+yf7C/r/+v/67/rv+uf6x/rj+vf63/rD+pv6X/pf+pf6m/pv+iv57/pb+qf7B/sT+tv6o/q/+wP7J/sr+0f7g/un+3f7L/sD+xP65/qz+tf7R/uT+7P7q/u3++P70/uT+2/7X/sf+uf6r/q7+q/6r/rT+rv6h/ov+fv5x/mj+b/6E/o/+hv6I/pD+jv6C/nD+d/6E/pX+nf6e/pH+hv5+/o3+kv6C/oH+jf6Q/oj+f/58/oD+e/5u/nL+dP5h/kX+Pf48/j7+QP43/kr+VP5S/kX+Nf4t/if+K/4s/jD+O/46/jz+SP5O/lD+S/5B/j/+NP4j/hr+Ev4R/hb+H/4m/iP+KP4n/iT+J/4p/h/+Kf43/kH+OP4w/jT+Mv4v/jL+P/4v/hn+H/4y/j7+LP4i/iL+Jv4d/hr+N/5H/jj+KP4y/kL+Ov41/i7+L/4k/g/+E/4f/i7+Lf4V/hX+HP4g/in+Lf40/jn+PP45/h7+Hv4c/h3+Fv4Z/hr+Gv4N/gL+Af4S/hT+FP4E/v79+f30/ff9/P34/ez92v3V/dn90/3U/dz91P3L/cz90/3P/cH9uv2q/a39yP3R/c/9xv3H/dP9w/3K/dP90/3L/cz90/3k/eL93f3g/eP95v3v/Qf+FP4M/gv+E/4a/h7+I/4c/hX+Cv4H/hT+FP4X/iD+NP4s/iL+Kv41/iP+H/4n/kT+Sv4v/i3+Ov5B/lT+Yv5o/l7+WP5l/m/+gf57/nz+hv6N/pX+qf6z/qr+oP6e/pr+mv6u/r3+t/65/sH+y/7Y/un+8P7x/vr+/f7z/vX+AP8V/yn/Kf8N/wr/D/8H//D++v4J/xP/GP8j/y3/Ff8D/wr/+/7r/un+8/72/uj+4/7T/sj+wP65/sX+xf7H/sX+yf7P/uP+1f7V/uL+/v4K/wT/Gf8h/xv/Fv/+/vv+Cf8Q/wb/+/7v/vP+9v4I/wr//f7v/vv+CP8N//r+Cf8E/+n+5/7n/uz+2v7z/v7+8P71/gj/BP/s/ur+Af8J/wv/Gv8M/wX//P4L/xv/If8e/yL/Iv8S/xf/Jv8j/xv/JP8r/yj/LP85/zb/M/8//z7/Q/9P/1D/Sf9E/0P/Vf9r/3X/ef92/3j/ff+J/43/fv+D/4z/dP9v/23/aP9u/2b/Tv81/z7/Rf8+/0r/Rf8h/wb/Bf8B/wD/A/8J/wv/A/8D/w7/Cv/+/vr+8P71/vL+4v7e/uD+5/71/gH/BP8D/wL//P7q/tP+5f4M/wr/C/8U/xL/BP8D/xP/E/8K/xD/8f7r/uz+8f72/vT+9f7m/uP+7v4G/x//Lf9B/1z/WP9L/1z/WP9J/zb/Mf9J/2P/df9y/2f/Yf9j/3f/gv96/3j/a/9t/3L/cv9y/2r/bP9f/2z/dv94/3f/af9a/13/Zf9y/4L/l/+S/4b/if+E/3v/f/90/1b/VP9r/3b/gP9+/4f/hv+E/4z/lf+O/4T/d/9o/2L/Yf9a/2b/af9J/y//SP9U/zj/JP8u/zL/Jv81/0H/J/8U/xD/E/8U/xL/Ff8N/wf//v78/vz+7v7k/s3+xP7N/sv+xv7A/sr+4/7s/uD+0f7F/sb+y/7C/rr+vf7F/sv+x/7N/tj+4/72/gL//P7q/tv+5f7p/tT+vv7L/sz+wP7D/s/+0f7O/tX+1f7M/tv+6f7k/uT+7v7r/tv+4v7w/u3+9v76/gP/F/85/0b/Qf9U/27/fv96/3X/av9l/2H/ZP+A/5T/jv+I/4L/hf+F/3v/b/9m/3D/hP+P/53/lf+G/4r/kf+C/4L/hf98/3H/d/+c/8D/sf+k/6H/kv9+/4T/mf+c/3f/h/+b/5f/jf+D/3r/cv9e/1r/b/93/27/ZP9e/1//Wv9V/0z/VP9T/1j/Uv9a/2X/Z/9e/2b/WP9R/2f/dP96/4z/q//C/7j/tP+y/7L/r/+h/5n/lP+Y/6f/p/+0/63/rP+5/6b/k/+b/7f/yP/F/7X/rf+s/6P/sv++/6v/p/+0/7z/uv+5/77/wf+0/7f/y//W/8r/vP+3/8H/wv+//8f/1P/O/8b/wv/D/7j/qf+q/6D/m/+u/7T/qP+Z/5f/nv+U/4P/ff96/3v/iP+D/3D/Yf9t/3T/e/9//3v/d/91/17/Rv9Z/2X/Zv9m/3X/dv9v/2f/XP9Z/1T/Tv9T/1L/QP82/zr/Vf9c/1T/S/9K/0v/S/9M/0j/PP9E/1L/W/9N/0j/Sf9H/zr/P/9J/0X/Rv9N/0z/R/9G/0T/S/9J/zX/Jf8j/yT/Kv8t/yT/Gf8T/xD/Gv8j/zP/QP89/zD/JP8m/zf/Sv9M/0//Rv9V/2P/a/9z/37/dv9n/2P/Wv9j/3r/gv94/3v/iP+K/5D/lv+h/6X/s/+1/6n/oP+W/5r/r/+k/67/yf/V/8D/vv/P/9P/vP+l/63/u//E/8n/0//s//b/6//f/+X/9//9//7/DgAUAPb/4//t/+7/8P/r/+j/7P/h/8n/xP/V/+H/1v/H/8//4P/4//b/4//b/9X/uP/E/97/5v/q/+L/5P/p/+L/6//y/+P/2//b/+f/6v/t/+7/8f8KABMAGwAaAAwABQAMABYAGQAIAAUADAAXABwAHQAlACUAKwBEAEsASgA8AD4APwBOAFUARgBEAFEAUABNAFEAYQBrAFUASgBQAFgAVgBYAGkAaABfAF4AVgBTAFYAWwBjAGoAcQBtAGIAXgBiAHAAfQCAAHwAdgBxAG8AdQB9AH8AhgB/AHAAZwBvAHgAgACCAIUAiAB/AHgAdwBtAGwAcgB2AGsAYABYAFYAVwBTAE8AUwBSAEMAPABRAGAAXgBNAEkATgA/ADsAMwAvADAAOQA3AC0ALAA3AEIAPgAnAB0AKAAfABsAEQALAAcAAQD1//f/8v/h/9j/3f/c/9H/zf/c//j/BAD8/+T/3P/T/8//x//F/8L/vf+7/7r/tf+t/6//tf/A/8L/t//B/87/y//N/8//1P/Y/9X/x/+3/7j/tv/A/8v/w/+7/8P/0v/V/9j/3//v/wEABwAJAA4AEwAUAAoACQAbADAANAAvADIAQABIAEYAQABGAFIASwBLAE0AUwBbAGYAbwBxAHQAcwB3AHgAeQCQAK4AvwC+ALsAwADKAN4A3QDkAPMA/gD8APQA9gD+AP0ABgEbAScBJgEgARgBFgEbARoBEwEUAQ8BDAEAAfYA9AD6AP8A9wDqAOoA7ADrANgAzwDOANMA1wDPAMIAwwDLANIA2QDmAPEA+gAAAf4A/QAKAQoBAAH1APUA+AAEARUBHgEiASoBNgE5ATIBJQEhASUBIwEYARIBFQENARMBFwEaAR4BIQEcAR4BJgEuATUBLwEoAR8BFAEOAQABCAEWASEBJwExATwBPgE/AUoBSgFNAU0BSQE+ATgBRQFbAWABVwFVAWYBewGGAYQBegF7AX4BgAGFAZIBowGqAaQBkQGKAZMBmgGeAaEBngGSAYgBhwGUAZcBmAGbAZ0BnAGVAZQBnAGgAaMBpgGtAbEBrAGpAbQBuAG5AcIBxQG9AbkBuAGyAaoBpgGiAaABoQGnAboBuwG+AboBugG2AawBqAG5AcUBywG8AbEBtQHAAcIBrgGlAaQBqgGxAbIBrwGvAbYBvAG2AboBwAHEAcMBwQHEAc4BvAGsAbQBvwG8AawBmgGSAZ8BpAGsAbUBuAGyAa0BrAGbAY0BgQF6AXEBYgFcAWIBYgFPAUkBUAFWAU4BQQFAAUMBRAFCAToBNAE4AUsBYAFWAUgBPgE/AUcBSgFDAT0BXAFlAV4BUgFOAVIBTwE/ATkBRgFRAVABSwFBAToBSQFSAVIBTwFVAV4BYwFhAV8BYwFqAXUBegGDAYcBgwF6AW0BZgF0AW0BZQFmAWwBcwF9AYIBggGCAX8BgQGKAZUBmAGRAYsBkQGcAZkBlgGSAY0BiQF9AYEBewFvAW8BdwF4AXABawFxAYUBlwGeAaYBoAGVAYkBfwGFAY4BiwGBAYYBigGKAYoBiwGPAY8BlAGZAZgBnAGdAZgBlwGZAZIBjwGRAZ0BmQGhAaoBnwGFAXQBewGIAYgBigGHAYQBfgFwAWYBcAF7AWwBbgFlAVYBVAFeAWsBdAF7AXsBdQF2AYQBfgF8AX0BegF1AXIBbAFtAXYBegF7AYoBjAGUAZkBmgGbAZsBmgGaAaYBogGhAaEBmgGUAZYBpQG2AbcBsgGlAaABrAG1AbABrAGrAacBqQGwAasBowGZAXoBdQF3AXQBcQFuAW8BcAFwAXUBfwGKAYgBgQF7AYEBggGHAYgBjAGHAX0BeQF0AXABbQFeAVEBRwFSAWEBawFvAWYBXgFkAWsBbAFuAWoBWwFXAVcBVgFXAWwBZwFlAV0BVQFTAVoBYAFbAUwBPwE5ATkBOAE3AToBQwE8ATgBLQETAQYB/AD5APUA7wDnAOYA6ADpAOcA1gDNAM0A0ADDALMAmwCIAIYAjQCZAJ4AogCgAJcAkgCTAJAAgwBxAGwAcwBzAG4AcwCDAJAAlQCZAI0AigCQAKIApwCWAI0AiACBAHoAeQCEAI4AigCHAIIAdQBsAHMAfQCIAI4AhAB1AGcAZABtAG4AbABtAGwAaQBhAGUAdQBxAHoAjQCMAJEAmwCiAK8ArQCrAKoApwClAKwAsACmAKsAsACrAKgAswC/AKYApACuAL8AtwC3AMIAygC5ALEAswCxAKcAqACsAK4AtwC2ALkAugC6ALQAqQC7ANUA1QDNAMgA1QDaANoA5QDdAMcAwAC/AL4AxgDSANAAywDLAM4A0ADHAL8AvwC4ALQAuwDBAL0AuACuAKUAnACZAJAAfgBwAG0AbgBuAGYAXgBXAFoAWQBrAJAAlgCJAJAAmgCSAI8AjQCPAIYAgAB/AHAAXwBkAHQAegB6AIIAnACeAI4AiQCPAJEAhgB9AIYAhgB5AHgAeQB3AHYAcQB6AIEAdAB5AIUAkACRAI0AkgCjAKUAnQCjAKsApACZAJsAogCSAIQAhwCQAKcArAC9AL8AsgCnAK4AtgCjAJMAkACRAIEAiACNAI0AjwCGAGwAagBtAHkAgQCEAIAAfACKAJwApACEAGkAYQB2AHUAdQB2AGkAXgBlAHkAiQCKAHgAcQBtAFwATQBGADoAKwAYAA8ADgACAPz/BgADAAAADAADAO7/4//i/+L/7P/7/+//3f/f/+f/5//j/+P/5v/V/8D/tv+8/87/1f/f/9j/4f/f/8z/yv/J/8P/w/++/7j/uv+z/6r/w//Z/9b/1P/V/9T/0f/M/8j/wP/D/9L/4//a/8//2P/n/+v/5P/Y/9T/z//i/+//7//t/+n/9v8JAAwAGAAQAAsAAAD//xYAJAAYAAQACgAQABQAFwATABUADgAWACkANQA4ADkAPQBCADAAKwAgABUAFwAXABsAIAAvADAAJQAnADEAKQATABgAIgAWAAwAEgAPAA0AEwAZABsAEAAbACMAIAAcABoAGgAsADgAOQA+ADwASgBfAGUAVwBNAFMAOgA8AEwARwA/AEcAZgB3AGoAbgByAHQAcwBvAHgAaQBYAFIATgBbAGQAagB8AIMAbgBnAHMAeQBiAFEAVABWAF0AWgBeAHMAewBqAGsAdgBuAGAAdAByAFwAVwBsAH0AggCKAI4AhwCCAJUAnwCcAJMAhACHAI8AmgCjAJ4AogCsAK8AogCNAIYAeQBxAG8AcwBmAEYAMwAxACgAGQATACEAGAADAP3/AADq/9T/zf/I/77/qf+r/67/sP+u/7D/vv+v/6T/nv+Q/4X/e/9p/1//Xv9t/1v/Rf9C/0D/MP8Z/wP/+v7w/uL+1P7O/sv+1P7N/sf+v/64/rT+qP6l/qb+pv6u/pP+h/6Y/p/+lf6S/pv+r/6t/rL+vv6//q7+sP7H/tb+y/7S/ub+5f7a/tv+3/7Z/tL+0v7X/tL+zf7M/un+/P76/vb+7/7m/ub+7P7r/un+7/7v/vL+Cv8l/yv/HP8W/zD/L/8j/yX/Iv8l/yz/MP8g/wX/9P7l/uz+8/4D/xb/J/8a/xz/Mv8v/w//Bf8A//X++P76/vv+A/8j/y3/J/8j/yb/OP9A/yr/If84/zT/Jf8s/yj/Ff8I/xX/G/8P///+Af8C/+/+6P73/v3+8/71/vz++/74/gD/AP/1/vT+9P7q/uv+/f4H/wr/BP/7/v3+//4C/xT/LP8o/yv/MP8x/yz/H/8n/0H/Sv9G/1X/Yf9S/0T/Vf9d/0T/Q/9W/2D/WP9o/23/af9n/1//YP9o/3z/dv+I/5T/kP+X/6n/sf+e/5z/p/+o/6T/p/+o/57/kv+O/5n/mf+N/4j/lf+R/5P/j/+a/6//r/+m/6D/mf+E/2r/W/9n/2T/W/9l/27/bP9q/27/eP9p/0r/Pf8u/zD/Mv8q/yP/GP8Q/wv/Cv8P/wv/8P7k/u/++v75/vL+7P7e/sv+vv7N/uH+4f7Z/tb+3v7d/sT+sP6z/rL+qP6n/p/+oP6u/rT+r/62/r7+uf6x/rj+rP6a/pn+rv6+/rP+t/7C/sH+xv7U/tX+2P7l/un+5v7n/vT+Af8P/wv/+P4B/wX/Bf8W/xb/Cv/6/vf+Df8Y/w3/Cv8T/x3/K/8s/xv/HP8z/z//Pf9Q/2L/X/9g/17/Wv9N/zT/Pv9H/0r/WP9v/4n/jf+B/3r/f/+N/5H/hP98/3n/Z/9o/37/kf+X/6D/rP+3/7T/t//E/9L/y/+y/6H/nv+m/6b/mP+Z/5n/jf+Y/67/w/+2/6n/qv+2/73/qf+r/6v/rP+3/7b/p/+p/7n/yP/A/7f/n/+K/4f/kf+l/6//rv+p/67/sv/E/9n/yv+4/6r/pf+y/8T/wf+t/5//sP++/8D/vv/E/8f/0f/d//P/AgDz/+j/6f/m/+T/4//l/+3/7v/v//7/GAAXAA4AGQA2AC0AGQAUABoAHQAVABkAIgArACwAMQA3AEgAUgBUAFsAYgBkAGQAWQBEADcAOABAAEkASQBCAEIARQBQAGEAfwB9AHgAhwB6AGgAVwBjAG8AZwBkAF0AYwBxAH0AhACHAHkAZgBbAFgAXABdAFIANwAyADgAPQA4ADcAUQBNAEAAKAAYABgAHwAjACAAHwAhAB0AGQATAA0AGgAkACQAJgAwAC4AGwAMAAYAAADw//f//v/6/+//6P/w//j/9v/x/wkAEQD8/9//4P/t//j/7P/g/9n/3f/p/+v/3v/P/9D/2P/T/9D/0P/d/+b/6f/i/9T/zv/U/9v/2//T/8n/zv/b/+D/7//j/9X/1//Y/9T/0//X/93/3v/V/8//1f/T/9r/4//q//f////3/+z/6//1/wMACwAHAAYAAQD0/+v/6f/r//b/BwATABoAGwAbACgAMQA2ADoAPAA0AC4AMQA9AEQAQQBCAEUAQQA5ADgAPgA/ADAAMQAsACMAFAAQABcAHQAgACIAFwAgACEAIgAoACwAJQAaABMACwAGAAQAAQABAP7/+P/u/+v/+f8HAAEA9f/r/97/2//j/+r/7P/s/+b/zv/I/8X/xf/C/7X/p/+p/7z/zv/O/77/t/+x/7X/uP+u/6T/pf+0/7n/tv+r/6f/rf+y/7D/tP+7/8X/zP/B/7P/tP+//7f/rv+y/7n/uf+1/6z/p/+x/8v/3v/l/9b/zP/L/9D/1//f/+T/5P/h/+X/8f/2//T//P8UACoAKAAWAAcAEAAiACoAKQAvAD8ASQBAADcANAAzADUAPAAwADsAPwA5AC8AMgBKAGUAbwBoAGoAdABxAGIAUgBMAEwAUQBMAFMAYgBqAGQAYABkAGkAdABtAGIAYgBsAHMAbgBlAGYAYQBgAF0AVgBSAFYAXABeAFsAVABPAEoAQAA0ACoAGgATABIAEgAWACAAJgAWAAEA9//s/+f/6//x/+v/4v/Y/+r/8//s/9j/w/+//9b/y//G/8b/yP/E/7f/rP+i/7L/uv+p/5P/jv+X/5j/h/+G/5z/tP+1/6j/m/+P/4n/gP9//37/e/92/23/Yv9b/0b/Rf9T/2H/af9w/3r/f/97/3D/Zf9i/2X/Y/9X/0//SP9K/0n/Sf9J/07/X/91/3D/bP9v/3T/a/9a/07/Uf9p/2//YP9d/2f/dv94/2r/aP9x/3z/fv+E/5H/pf+z/63/oP+w/63/nv+f/6j/r/+x/7H/rv+x/7H/sP+t/7H/uP+5/7v/vf/U/9P/yf+5/7D/uf/G/8b/tP+y/7D/sf+5/7//yf/b/+f/6P/t//P/8f/n/9j/zP/D/73/wf/V/93/4f/l/+z/7v/u//H/8P/m/+r/8f/x/+3/6v/t//L/7P/W/8H/xf/H/7X/nv+W/5v/nP+N/37/h/+I/4j/iP+A/4n/k/+K/4H/i/+F/4f/f/+D/4T/d/9s/2z/cf92/3j/d/93/4v/mf+f/6P/o/+g/6H/q/+z/7T/tP+n/6r/wP/H/8b/xv/E/8T/yv/F/9D/0//c/87/y//a/+v/6//h/9v/1v/f/9//1P/O/87/x//M/9b/3v/s//T/7//x//3/CQAZAAkABQAQAAQA9v/y//X///8KAA0AEQAXABIABgAKAAsA/f/3//z////7/wAACAAJAAQAAgAHAA8ABgD5//z/FwAbACgAJwAoACsALAAyADgAOQA7AEUAUgBNAEgAUgBfAHAAUQA4ADwARQA5ACkAKAA1ADEAJAAlACYAFwD5/+r/6//x//n/9v/f/+b//P8BAPj///8DAPz/3P/I/8z/zP/B/7r/uf+3/7D/pP+i/8P/3P/e/9X/zf/Z/9n/0f+//7//xP/A/7D/rf+g/6n/rP+k/6D/mf+Y/53/oP+a/5n/n/+l/6z/qv+j/5r/hf98/4X/iP+D/3v/e/+U/57/mv+j/7n/wP+5/6r/o/+b/57/l/+R/4b/gv+V/5v/l/+X/5j/lP+b/5v/jf94/3D/hv9//3r/b/92/3f/ev9t/4D/kf98/2//av9y/3H/av9k/1//cf91/2H/YP9z/3r/e/+A/4H/e/96/2//ZP9V/1r/Y/9g/1j/Sv9I/1L/Vv9P/z//Rv9O/0j/O/89/1D/XP9a/0n/RP89/yL/D/8V/yP/H/8R/xL/Bf/s/uf+/P4B//7+Bv8b/x7/FP8M/wX/Bf8B//z+/P7w/uv++P4A///+9v76/gf/BP8F/xX/HP8Y/xz/J/8k/yf/IP8U/xj/Iv8t/zP/Mf8f/xn/IP8u/zn/M/85/zr/O/9A/0D/NP80/0H/Qf9L/0z/S/9M/0v/ZP9p/2v/X/9W/2D/cf97/3r/iP+U/5X/k/+W/6b/uf+z/6r/uv/E/7//tP+0/6r/k/+S/53/n/+m/63/qv+q/6H/qv+f/5v/kP99/3T/d/9z/3X/ev9+/3//gv+F/3z/gf+N/47/mf+g/6T/pP+f/6H/ov+d/5P/i/+B/4P/fv9z/2n/aP90/3z/c/94/3z/fP9//3f/dv9q/2D/V/9a/2T/Yv9n/1z/Tf9L/1b/c/9z/1X/Y/92/3T/dv94/3P/Z/9e/23/gP+O/5z/qP+m/5j/lf+R/5X/jP+B/4f/jP95/3n/kP+S/3X/X/9c/2L/df97/33/cf9r/4P/nv+p/6H/s/+w/8X/5P/v/+7/4f/l/9v/0//c/9//3v/Y/+n//P8KABUAHwAXABMAGAAaABAABQAGAPr/7f/a/+P/7P/p/+X/3v/Y/9L/0P/O/8n/yP/M/8//zv/R/9r/6P/2//T/5f/W/9L/0v/G/8P/1f/Y/9f/3P/f/+H/3v/Q/8//wv+1/7b/s/+s/6//sP+s/7H/uP/R/83/v//B/9D/1//d/+H/1P/F/7z/1P/o/+n/9P8HAA4AGAAeADAANgAwADkARQBKAEIALwA8AFMATwBPAFIAVwBmAF4AYABXAFIAZQBsAHAAdACLAJwAlgCnAL0AwQCxAKkAoAClALUAwQC6AL4A1ADeAOcA6gDkAOEA2gDfAOcA8gDmAOUA6gDmAOIA6gDoAN4A1QDgAPEA7wDgAOIA+AAAAQYBEwEQAQQBCgEMAQkBCgEaARQBDQESARIBEwEMARYBHQEmARYBBQH0AOwA8wDyAMgAyADdAOQA3gDcAN4A4gDhANYAxAC7ALMArAC4ALoAowCWAJYAhwCGAJQAmQCgAKYApgCjAKEAnQCOAIEAfQB+AHYAagBxAIoAjQB/AHEAfgB3AGgAbwBvAGUAawB+AHQAWQBaAF8AVQBSAE4AUgBHADoAMQBAAEMAQQBDAD0ASABFADoAPQBCAEEAMgAbAAYA/v/2/+j/4v/g/9H/yf/P/8r/tP+w/8b/xf+z/5//mv+W/5L/jv+U/5//jf+D/4D/cf9t/2n/Tv9H/1r/Xv9L/0//U/9G/0b/P/87/yX/Jv89/0P/Mv8l/y3/K/8L/wv/HP8W///+6P7u/gT/Dv/2/t7+2P7V/s7+vf7B/sj+x/68/sL+w/7V/uD+4f7e/uL+1/7U/tL+zf7c/uL+5P7o/vL+9f4G/xT/Ff8b/yf/Mf81/0b/VP9U/1P/XP9g/2D/Yv9y/3n/cv9o/2P/bf9r/1v/VP9f/2D/Yf9g/23/ef95/2z/Vf9I/1f/af9k/1X/XP9p/2P/Wv9m/3T/af9g/2T/Y/9m/2r/bP94/4b/iP+J/5v/n/+N/4v/kv+c/5v/p/+e/5D/h/+T/4//lP+m/63/o/+N/4v/iv+F/3z/gv9+/3v/gf+H/4X/iv+E/3f/fv+F/4b/hP+E/5X/s//E/8X/xf+x/7D/xP/M/8n/v//B/9P/4P/s//X/9v/v/9H/x//I/8r/yv/H/8j/yv/Q/9T/2v/j/9//y/+4/7v/wf+//8b/4f/k/9X/0v/a/93/3v/d/+f/7//q/9//5P/y//X//f8OAAsAAgD7/wEAAQD///b/6v/a/8z/2//Q/8//2//l/83/tv+3/7//vP+z/7P/r/+2/8L/x/+3/6n/uv/S/9n/0f/V/9f/1//e/93/3v/L/8b/zv/R/8D/wP++/7//tf+m/5L/kP9//2D/W/9d/zn/LP8w/y3/JP8Z/xD/Bv/0/uj+9f78/vT+7v7r/vP+8P7i/uH+7P7x/vD+8P7x/vz+B/8S/xb/Hf8n/yv/N/81/yX/K/8w/zP/K/8m/xX/CP8H/x3/K/8s/yj/If8l/zf/Pv9C/0L/Mf86/0L/Tv9T/2X/eP+J/4//j/+W/57/qP+t/7f/wf/A/8r/2f/Z/9f/3v/p//L/+P/6////CAAGAAAABQAXACMAFwAJAA8AGwAeACEAMAA/AD8ARABMAF0AVwBaAFsATgBNAFkAbAB5AHMAbQBsAG8AegCTAKgAsgC1AKwAowClAK4AngCeALsAyQDJAMAAyADYANcAxgC7AMEAwgDJANQA0wDKAMcA0gDfAOkA5wDgAOAA3gDSANQA2QDgAOUA8gD6APgA7gDnAOwA8ADlAOMA6wDtAPsA9AD0AAABEAEIAQIB9QDkAN0A3gDlAOwA7wDlAPAA9QD8APgA7gDyAPoA+AD0APQA+AABAQQBBAEHAQgBBwEKAQ8BDgEIAQMBBgEMAQ0BDQENARIBGQEbARMBEQESARABDAELAQsBBQEAAQYBDAEaARgBGAEiASwBNwE2ASwBLwEuAS0BOgE8AUcBVgFXAVABVAFeAVsBTwFAATQBNAE4ATgBOgFDAUMBMwElASQBLQEsAR0BEAEPARUBDwEAAfsA9ADxAO0A6ADuAPIA8wD4APgA6QDcAOUA3gDeANsA3QDkAOwA9wAAAfQA4wDhAOgA5ADkAOkA7gDtAOUA4ADWANcAyQC9AL8AvwC9AL4AtQCvALEAswCzALkAvAC+AMMAxQDBAMUAzgDSANUA1ADSANUA2wDlAO4AAwEOAQwBBAEHARQBGgEeARsBFQEUARoBHwEeAR4BMAE9AUwBVAFeAWUBXwFSAU8BVQFgAWkBYwFZAVYBXAFmAW8BbAF5AY0BkAGPAYwBhgGAAX4BjAGSAZoBowGuAbkBwAHFAdYB4QHqAfkBBAIIAgcCCQIWAggCAAL8AQACCwIWAhkCDwIJAg4CIAImAiQCJQImAiwCLwIpAiwCNAI6AjgCLgIsAjcCMwIgAhQCEQIUAhkCFQISAhECEQIWAhYCEwIPAgsCDAIGAgAC+wEIAhgCFwIgAi4CGQIBAv4B+gHzAfkBBwIDAvwB/gH4AfIB/AEFAt8BCgLpAeEB5wHeAdMB2gHgAeQB6QHcAdABxQG9Ab4BwgGxAaUBpAGmAZ4BkwGTAaQBtgG4AbYBtwG4Ab0BxgHLAcMBzwHJAckBxgG+AbkBwAHDAcMBwgHOAcoBygHXAeEB4wHkAdQBygHKAcUBwQHEAcEBvgHGAcUBvwG8AboBtwG3AbEBrwGlAaEBpAGpAa0BtAG/AccBvQHCAcYBvQGyAbEBsgGxAbEBowGmAaUBoAGhAacBqAGiAa8BtgHKAbMBpAG+AcYBhQG0AdQBgAGFAZ8BlQF2AW4BdwFlAWUBawFmAV4BWAFNAUABQwE0ATIBNwErAS8BLAElAR0BCQEPARUBEQEdARcBCgH9APQA6wDZAMkAvQDKANsAzgDEAL4ArACcAKMAmgCXAI4AhwCIAIoAjACPAIsAeACAAIUAbgBnAGEAUQBNAFAARwA+AD0AOAAvADQAOwA2ADMAMgApABkAFAAUABcAGwAgABwADwALAB4ANgA5AEAASwBRAEMARwBTAEoAPQA7ADsANQAyADkAOgA7AFEAYABdAFcAUABQAFUAVQBPAEQAOQA5AC8ANQAyACoAIQAnAC0AKAAgABkAEAAIAA8A+//y/wIACwAWACMAKgA2AEUARAA4ADIAOgApACgAHgAhABgAGAAEAAIAIAAyADoATABNAEsARwA2AD8ARwBGADUAQABFAD0AOAA3ADcAOQA4AC4AKAAyADEANgATADMANgAjAAkAMwAfABEAHAAgABwACgD8/wAA9v/l//7/+v/C/9v/HwD6/7j/1v8MAMP/o//J/9z/rf+u/9b/xf+V/5X/rv+Y/33/lv+b/33/c/+d/5X/lf+V/7f/rv++/7n/uP+f/6H/fP+O/57/pv+R/1b/4P+y/1r/nf/v/6D/Zv+p/8n/m/+U/8j/z/+Y/5P/vP+g/33/kP+g/5f/f/+S/5D/fP9k/4L/jf+K/27/ev9y/4D/bf9//4//l/+W/5D/mf96/27/if9+/2H/ZP9v/2D/WP9i/3//ef95/5n/bf9l/2n/YP9m/1D/U/9V/0//Vv9A/z//O/8v/0P/PP8k/z3/Mf8q/zL/K/8h/yD/Hf8l/yP/9/75/gf/9/7r/vf++f7+/v3++v7q/tr+z/7T/s/+wP6o/pz+pv65/sL+v/64/qf+sP61/qf+nf6b/pX+kv6m/rX+yf7M/sD+vf7S/sb+4f7Q/r3+s/6p/nX+5P6+/rr+vv7I/rr+zP7U/sD+xf7Z/rX+tf7j/uX+wf6//sT+wv7A/sz+v/7H/uX+yf61/tz+4f7E/sX+0v66/r/++P7s/sv+7f4f/+/+xP7c/uv+5f4B/+7+1v7u/vb+3v7C/s7+8P78/ub+x/7R/uX+AP/M/sD+yv71/ur+3v7M/u7+Ef/4/uz+9v78/vb+5f72/uj+1/7S/tT+w/6u/r7+3f7O/sf+1P7P/tb+w/7M/sT+xP7M/sn+xv69/tD+4/71/vP+8f71/gf/9v7Z/tv+yv7B/sf+2f7t/vf++f79/vP+/P73/uv+6P7e/rj+r/7j/hb/Cf/6/ij/J/8P/xD/FP/1/sr+yv7y/gv/8P4O/w3/J/8a/yP/Jv8b/y//SP8+/x3/N/9S/zD/Ff84/03/QP88/0X/SP9X/4z/if9y/1j/av+S/5D/Xf8+/7T/3P+U/3X/lP/B/8P/mP+V/4L/ff/U/6H/T/9z/7n/5f/I/6X/a/9V/+L/NADn/4n/j//x/wkA4//L/+L/1//D//f/IAApABwAMwBhAEgADwAjAC4AUQBUAGMAcACLAIsAaQBRAEoAVgBFAFQAVgAiACMASABwAI8AmgCLAGUAQwBZAIcAfwCEAG8AOAAvAG8ArACpAGsATQBdAI0AkwBrAG0AjQBiAJwAlQBSAD4AiQDYAMgAggCyANoAwQDgACQBHwHUALIA3wAOAQ8BEwEQAQYBJwExAUIBMQEmAUABSAE6ATUBIAE0AS4BLAFXAWkBYgFjAWcBjwFyAWMBcgFuAVcBXwEKAR8BFAFnAWMBTgEqATMBXAFlAfIATgFMATYB9AD4AD0BgQEIAS0BZgFFATUBHQEbARUBDQEzATkBGgH+ACsBLwH4ALsAuAEVAZ4A1wBzAUkBQQCdAEoBQQHCAK4AIAEbAQIBwgCSAL4ArQCaALUAwQAYAQMBsgC5ALcArgCVAJAA1gDNAKUAnwCrAIEAegCAALMA1gCtAKkAsAChAHwAmQCcAJEAcQBoAJ8AsgCaAKcAlgChAGoASQBZAHYAcwB2AIcAoACRAIcAlgCvAJUAjgCjALEAiACKAKgAlQBoAGAAcACJAKcAsgC5AMsAwgCzAK0ArgCGAJYAhwCcAJsAjACpALQAqwCZAJYAnACNAHoAlQCUAJkBJwC9/yYByADyAAEA4ADwAKgAcQCZAKAAfABSAJIAhQCgAIIAVADlAHsAcACJADYAcgBGAFsAfQBIAGkAVABOAIoAnACWAH0AigCOAL0AfACgAK0AjgC4AKQArgCqAI8AtwCkAMsAxwClAMQA0ADrAOwA6wDSAOIA3QDnANkAxAC6AKMAtgCOAJMAmwCqALIAwQC9ANwA5QDGAMoAuwCWAKYAqgCNAGUAmwCOAI4AlQCGAKcAogC4AIwAqADHAOoArQCBAMUArACSAG8AigCjAIoAXAB5AHwAVgBUAFEAZwBlAHAAYgBRAFMAUQBDADcATgBeADoAJgBUAEoAUAAAAAoAPQANABcAs//1/y8A8f/+/xQAUACM/+r/OgBKAHz/zP8eAAEAxP/Y/wUA+v/k/wcACADs//7/3P/J/67/FQCw/+D/AQAIAP7/1/8ZACQA8//6//P/AADy/+T/+v/D/+//7v/Q/9z/5P/f/8f/0f/X/87/yP+7/6v/qf+7/7v/eP+K/6n/tP+o/4z/t//K/67/qv+s/7D/vf+k/3//lf+m/6f/pP+x/6z/n/+k/5f/o/+x/7z/ff9p/5z/rf+A/2H/e/9t/33/gf9r/2f/hf+F/2r/d/96/3v/fP9o/0L/U/91/2X/ZP90/2z/df96/3z/d/+J/4//d/9y/2r/df+V/3j/dP+b/7D/n/91/3b/kf97/2P/WP9g/27/av9w/1L/Xv95/37/ZP9U/1r/VP9F/0H/TP9U/03/U/9N/0v/P/9J/1r/XP9T/03/Xf9J/0v/Uf9I/17/Rv8x/zX/SP9F/zv/Rv86/y//Rv9W/1L/TP8a/yj/Ov8y/x7/JP8w/yb/Af8i/1L//P7j/v/+7v4F/yT/9P75/jP/BP/J/gH/Mf8K/wn/Jf8H/wH/JP8s/xP/Bf8F/wL/A/8B//v+8P73/vL+0/7a/un+6f7Y/u/+/v7b/s/+zP7s/v3+yv6L/or+nf6V/pn+rf6h/pf+rv6x/qP+sf66/q/+pP6f/m7+af58/or+nP6f/pb+p/6f/pv+tP6y/q/+tf6q/p/+pP6p/p/+m/6+/sH+wf6j/q3+tf6e/qv+r/6t/p3+ov6n/p3+o/6t/q7+sv6f/rj+4/7Z/qv+q/61/q7+r/6r/p7+m/6s/rf+oP6s/rL+rv7F/sL+sP6z/sv+uP6p/sv+9P7x/tT+wv7U/q7+wf7t/sz+sf6+/tL+1P7b/hP/Ov/c/gX/nv8w/6n+Bf9I/w////5S/4f/WP9S/+X/nv93/vn+yf8o/23+uv5O/3D/af9t/2f/if/f/7b/bv8d/0X/jf+M/03/If9O/5T/p/+T/33/kv+R/4P/hf+G/3H/Z/+H/43/f/+A/4v/rf+9/6j/iP9z/6D/rv+E/2b/aP92/4D/gv92/2L/dv+b/4z/df9v/4P/mP+J/2H/X/+C/37/fv+K/5T/nP+g/6L/qP+o/6X/qv+n/5H/lf+f/6H/qP+4/6//tP/A/7j/u//B/7v/sv+y/5H/oP+w/63/qP+W/4j/k/+m/6f/p/+f/5H/lf+i/6H/lP+d/57/qf/D/8D/q/+h/6b/qf+s/6T/nP+u/7T/sv+6/8//3f/U/8//2//M/8j/vv+1/7H/nP+k/7r/vf/M/9b/2f/U/8H/tv+//8T/tf+w/7n/uv+s/7X/rv/R/93/0v/R/9n/2f/X/+X/2P/F/8r/0//T/8//0f/f/9X/1/+3/67/tf+3/7b/rf+t/7f/lf+M/5X/iP9k/2b/cv9V/0j/Pf8g///+9/71/tr+sv6F/lD+Kf4M/t79p/28/RD+kf4p/7z/PAC1ADcBhQG2AccBoQFgAQYBkAAdAKL/Nv/0/tf+zv7V/vT+LP99/9f/IwBeAJgA2gAdAU4BSgFEAUMBLAEBAc8AngBoADcAAQDS/7L/pv+2/+L/FwBSAHoAtADgAAIBIQFBAVsBXAE9AREB1gC8ALIAlwBpAEwAIAAIABEAGAAcACUAMAA3AEcAWgBeAGAAXQBKAB8A6f+v/4D/SP8J/9P+rv6P/mr+QP41/i7+Kf4j/h3+M/56/uX+hv8aAKsAOQG2ARgCXAJ4AlwCDgJ2AcsAJACe/yz/xf50/kD+Vf6a/u3+Q/+o/y0AyQBTAb0BCgIaAiYCPwJJAiMCxwFWAeIAiQA2AOb/xv+4/6n/rv/a/ygAgwDpADgBggHBAfgBKAJFAlUCRgIIAuIBvQGRAWcBOwH6AKYAYwBDAEgAaACCAKkA6QA4AYYB2QEsAl8CagJXAi0C+QG6AXUBMQHfAIoASgAeACMAPABgAI4AxAD6ACgBZwGsAcgB2wHjAecB3AHAAaABhAFqAT0BCQHdAMMAzADDAKQAjQCTALUA5wAaAUABcAGjAbEBxwHTAcgBsgGSAV0BJwEAAd8AygDDALQAuQDMAOAA+AAKAQ8BJAEiATQBQgFDATABKgEzASsBIgEoATMBOQE6AT0BQgE1ASEB7wDCALYAwwDEAMYA4gAAARMBMAFQAXoBfwFeAVQBSQE6AR4B9ADPAKoAfQBNACUAEgABAAMAIwBUAH4AjACaAJ0AmgB6AFUAQAAnAAMA7f8AADcASgBLAFwAdwBkAE0AKwAOANn/u//A/7z/tf/I/+f/5//K/7T/qf+v/67/r/+1/8b/FQA8AGsAcAAxAN3/nv+R/2v/Of8b/yn/Qf9m/7f/GwBuAIsAfgB8AIgAiwBoAFwAPQAKAMb/sf+L/1b/Q/8x/x3/Ff9i/xAAkADWAAcBTgGCAT8BtQALAIv/MP/q/q/+hv7C/kX/s//4/0cA2QAhAegAfwCuAAIB3QByAPT/eP8r/5v/JQAxABIAJgCtAA0BbAHpAc0BOwGuAM0A0ACfAIMALQDE/5v/cv9KAGMBRwDD/3oAEAHYAaMCHQIEAd4AfwGoARwBoQCaAPj/c/8CANEA+ADwAAQBOgHPAZECsAJ8AgECFwIIAsIBfwGIAUcBHABa/3D/LADdAPEAOAFhAXoBywH+AdYBqwHcARYCGwIZAiACuQHKAPL/wv/j/6//S//V/sj+Lv89AD0BawHVAO4AqwEQAlABGgHcAJL/QP5n/uX+1v3I/LD9lf7R/Tr+pQK4B1AI4gMG//L9SADLAQkBUv/p/XX8dv07AV4DtgCW/OX7DP7DAa0ElAQhAt0A9AFiA68DjgKz/1z84fsH/94C3AOeAoQAMQDpAaADMALa/lL9pP5WAUYDjgN0ApYBPwGXAT8CjAJfAGT9Lv37/nYAqQBFABL/jv6Y/9EA6gBMAKf/j//FAHkCmgL8AWwBQwD3/sP+Fv/H/sn+kf+I/+j+l/8SAOf+kf01/an98f78/yD/7f3z/c398PvF+kv5G/aF9Mb0z/VV9Iryae/L6sPom/N0C+Qi7yPIEnsImAzpDhADW/Mq7NHsVO528fz4VP9w+3H0H/hYBcgNygr2BhYMexQcFf4MsQPR+oPxU+tb7cTz5Pb69j38IwhCEVoOSgcfBeMGjwhFCu4MDw0gCNYBzP9R/8/6B/QR8pr4EQMGC/AO9A+PD9oNvgtTCU4FqQCe/u7/CgLFAaT/iv0a/Ov7/v2WAuwHsgppCrQKzgxVC+YET/9+/e38JPyy/Gb+Uv/Z/oL+X/9SAEL/ovw7/Lj+6P8E/sn54fYy85PvjO1A7gPuTe0F67/ooeE435j3aynFRN8oAwC2AOATRw2b9L/oRe2t7YPpUfKkAAT4l+Hx4gMCPRn9EhAILhOHIX0dYQ7lAVX1+ONW3dnsRf0G+mnv3PN0AxIJyQDE/LUDWwuMEEIZrR5JFYIBz/ek++D8WPXU7yH0u/4nB8kJmgjWB+wHrwmMDjgSAA80CJkFBAUCAQT80fif9vj1lPrEBNsNyA3qB8IG7wudDZ4IBQUSBWcDYQBC/7T+FPue9Zb0HPyaAgwCKv95/jL9ePp4+dL2xvH87kbwH/N087DuGue66MjrOuin4KbaZtdn6CAVjkBxOKkU8v/2Bk8OGQJ28x3x/PKs79nwXvT86CTTzM9n75YPSBhlFC4Yyx5pGzoQuAY7+5nuD+0P+cj///Nl44rk7fCO94n37vuBBVoOOBgTJsEpURpvByEEhQypD34FwPZW8FL00Pnf+s77iP//BMoOVBz+HkUVlwz0C/sNgwzTB/MBMf5K/Hz9tgKcBkEEUgGFB4YRqBRzDycJgwXIAhEARf/Z/4n9+PqD+8/+JP6d9/ryMvcW/yQAtvxd+/j5Bfbn8KPvO+zY5oXijOHj3IvSXcoZyxLS0+l9GSlF7EVBJGMR/iACLq4cQgMC+M/wseh45pXgy804vvnFl+Lc/SoJMA1aFSck5i7ULckhEBOCCGEGpwZQAQ7zueIb2zXgp+zP8aXt/e5I/rETiiAkI3cjPCahJ4opZCnmH4QMIvvS9Wj5vfuS+S74//3kBh8PkhPzEpgPjBAqGP0eUxyHEtQJTANq/Wz6fv7fA+cDlgBYAm4HFQv9CaIJwgk5ChIJvwdPBlcDiP9a/hkBTQL4/Dn3PPam+Z/8M/7L/jL+7v0O/93+CvtZ8yLs5e5B/bUJJQaO+N3rpuQ65QjsqPCv6X3hpNpL1xjc9uxzAAMItwSNAEgEBQxVD6AKkwBK+/36GPvw9jfvEefT48PmO++F96f7lftw/cgAVQTHBOIEugY5C3YNZgtSBcL9jPbP88L3G/1u//z83/tv/y0FSQrgDqQTgReUGmscLB2xHJQZVRLxCocJ+AzJDfUJ9QWWBVYI9wykEtwWABjLF7UY4RlvGEMTww3aC1UNDw2gCEEDJwBW/qX7ZPpt/HcBOgdtDEkP0Q9DDtMLqAn3CM0IcgeoA1X+VvqI+AL1ivIH8TzzbvTy9nL0+vER9Mv6Uf5H/oP+kv2m9LXnCeOV57ro6eMU3qjYH9L0zObI2sgT0B/f3u00+wYE5gVGADf8Gf2k/30CJgVPCGUHrgEm997p693G29zi3+yY9Zz9BQLT/w38Jvrv/KoC7glPD8wNTQm4BwIHvARPAg4F2Ai3C94NMg4ECi4EqQHvA5gKDRLlFtYWChSkEPcMaQq+CugOtRLFE/QT8hPvEx4UPRS5FL8V7hd/GPIVWhOVEaUPIg6EDl0NDAr4BrsGZwhFCZ8I0gdaB+wITQnECMQGlwbfBlsGlAUrBTcEDAOAA1UG+AjxB4kEygFKAI/9Fvli9Tf1Yfi+/AX/Rvk87lTlUOMf66P4FAjNCfcBLvmN8G/owuOy7HP3iPg18lzsM+Qj2Y/RGc+SzlnROtp54ufkD+e463Lsd+RH4r/wBAEwCk4JogVC+3vuaOst7lvyd/XA+Of5I/gF9WfwH+qu5cvnc/FR/0gMzhGQDyIHqv7i+nf99gZTEXcYwxlPFgwQ8AijA3EBjQFlA/sH7w56E/4SsQ6lC1AKNwshDi0TOhnzHeYeSht4FeUPsg2QDbcO3hDAEZwSkhExD2ANiA2ND6YRwBKKFOIVDBUvEhoPoA5kD7oPUQ8vDvQLHwh+Auz7Zvdu9zD9RAQeCFMHkQIh/RP6JvutAFIIxgxtDBkJTAYdAoj8w/jq9ZbzD/Hp7bPsLfAj+QwCRf1Y75TjieLj6oD2M/8cAOr3Ne2p54Tjbtu80SDLX8q4z43XRtwh3S7exN5B3tvcW93J4wzrgu4L8O/x/PK28Srv1/Ks8sLubuwV7UvuaO+Q8cr3EfiR90P5b/to/eL+Rv8e/80AiALiBFIHSQf8BJUCPQInBHoGmgpBDXwMQwpeCQcKHwvQDF0Q2RL0EjAT6hMHFCkUZxS6EzQRcg2wC8UL8QvGDP4NZA8kEEIPtg6qDhoOMQ/2EKwTmhY5GO0XqBY/Fj4UBhBgDIMLYwzXDPYMsgu2CRQHeAT5A2wFyQZaBpMEKgIdAIb/IQG/A/8FnQdQCasKRAnJBPb/0v0H/1wBmwHk/kn7OPrQ+oH6tfla9x/y6+wD6zTu3fBU84P1Q/UR8X7rNOs471PsB+NG2/PY0dlE2WjWWdOtz9vNxM9Y1fXadNwX3JXdNODX4Sjjr+Ug64TzC/tm+2v3NfLO7Vzqquf25QnmlOuA8u71X/Xq8szwl/B583D52gBeB/EJegjrBIICRwSEB20KyQk3BnIDPQPKBMIGjwfnB38HdAf2CMELxw5pEc0SRBNJEycTJhP/EvsRmg+bDLoKNguuDD0OHg95DtcLxQgfCRMMJA8kEQMSBhJ1EWYRbhOaFZcUmBGODhENug1MDz8OuAu6CVQIYgcPB6oH5wg+CKMHLwc7BocFBQU/BPkDHAQkBQUIXwoECgYIrgZiBroFLgO+BB0G8gPl/Yb3Y/VV9+H3HfcV9dfyw/Dh7jfsvedu5nDr6e2+6vLl/eAq24XV7NQs2q/eu99O2+fUYtFg0srUtdSd2abjlOyt8hv2jfaP8/bti+fc5Y/wu/0WAl/9HfbK8ArsDekM7mT0gfXk9AD24vhr+gH43vSJ9C73R/4OB3sOQxFDDlQIbAQdBdwJow2kD90Q9BBrEPoPHQ5SCosFTAVTB1UK2wzdDPgJgQZ8BSsI7gu3DXAN/AyiDnUR/xJFEjQQiA6xD/MRchR5FAkSuA3QCeEIewrcDNoNVQ0rDJQKbgkBCQkJTwi7BmcH6QnaCwoMWQmzBMj/6f2C/y8DMAioDIIMKwllAtD7rPe++KL+RQZSDMwLdf+J6yzgnuK96Tb0qvxF+jjrvdr50nDViN0142Dk8+Fb2g/R19Jo397pYet96Y3rAfA+8ZbxkPXe+or7cfYw86H0LPZP9InwRO6J7SXta+6R8BbwXe518GL33vxnAeICzwGdAJgCXAb9CNwKhwx5DCYLMQllCNkHSAgaCPEG+AWDBVIGFQgsCf4ISgjnB5gIfQqhDPUNGw1HDBcLLwl2CVQLvAxjDTsN3wvECMsFEQUwBxQLXw4eEMUPwQ0CC+gHjgdECEYKGwvICQAIrgaVBFr/zfsm/M79Uv+iAUoFfAfVBWAC0f9h/6YABgOVBfUEUwKU/IHzyu5z8tzzYu9D567kJuJ/4iLkr+PM4hngi94d4iPpU/Cg8h70Gvaj+F79+gBiAkwC1f89/Hv4pvYO91z2c/Z09enzufNU8/v1lPmi+mX7OP8HBicIMAphDU8NmwmbCGEMTA7UD30Q0g7qCzkJQQk2CTUKngt+DQUMowdXBBMCbAF/A/8FNwm5CmUJYgXrAOABFgVACFEKdQleBjYCeAEuBSgJFAqUBpUCNAHrADgBBv+O/FH6+voX/LD61fgb9v70FfTa9u760fvh9uXx7vT4+2f+U/qg89jqTeUZ5DHmjufe5/PoAeZj4eXZUdZO2EzkEvbd/t/+Y/Wh8AP4hQXrDhUM5AWUBNMC8AOP/h/+8wE+BA0DxP+D/Ir3uvdj/+YHNgqMB2cGKAq2D6oUChcmFuIUcBfKHFYaThTjEmQSbBOMEx0Rbwt3CC4KXwp5CbMHBQeBCQYPFRI7DwMLsQgrCzENnw1OC9gImwn8CpMJ7wPB/rT8p/1p/0P+bPm09FP0YPav9oX0HvOH8oLwIe0P67DrDfHQ9Gjxweyx6gDnTt2U1j7Y8+Ca64DrTeMJ2HbRd9Hp2pzpGfI59Mn2E/a38zfuIfwZCKMUvg9dA6H75/17BeYKsAk3AN77vAQ1DnwFRv2jAToKUBJbGBkYyxQbGIEdsyDtI90iVyToJAUldyCOHYobsBtlGXEUAQ65Cy0LrQtZD3MQFQ9YD1gRxhCkDl4OfxASEkgSWQ9BDMoLvgruBisA9vg89ND34fzc+3z0dO1a7Rvx5PHG7f3nAOgK70XzOOvD22PPjsqMzQ7WvOAj4jbaPdLt0afTFeGE97cDxwI1AXb6mOyP60n7LwVUBCv+LPen7y/pJOUh6V3yqADiB18Ewfvl+ToAWg0IGbIcghxWIbckPSG8HIUbRB47JUEpwiLAGHgTPRSyF70ZFhrxGIQZiRbmE9AT8xb/G+EfZCAvHccYUhVUFYwWNBT0DkgL1weUBPQA5vxf+B71tPIC8UHtDOvU6QzqgehI5p3nT+io4arQEccuyxDckeT144bfDuAc6C761gF+/8/8KQXBDOkJgP/3/BH5k/vd/bD7Y/GQ657upfSm+OX8EgCcAkIG2gq/DPQMyAuiDVUOiw8BEQUU9BmjHoobaxZxFQUX3hjdGfIX3hIqDjULZwYIBF0G0gtkEK0RxBABEoAVJhrDHA0dORsLF7QQZAyMB9oCbv00+CPzHPKw80P0q+4J57njzeWn5o7ivtyU2J3RPMXPw+DUC+fc6XzrTvAT93j3X/xzCFcXGRyFFZALhQMp+3T4+/l5+YL4rvf182zvt/LC+yUGeg/gFCcWIxaAFtgZ5h1ZILchOCD5GdkWFh8BJBYhKh2OHOgdYx2IFv0R1RI/FO0QCgtFBuwEWAioDawRWxR7FVQVUxUYE+EOxgxPC2kFx/0v91bvPuYt38beR+Cj38fX5s5dyWDIu8sj0QvRs8SmwoDOP+R5+QoFpf8y8WP2Gw1XHHEXGQtaBBgDK/8Z+LbuYup77wj34/b6777q8PEMAHEMwRKFFZYYSxy5HX0dKR4QIIcf8B3AGrsXCxzPI0Im5SJxIbYisSQ/Jc0j0SApHt4ctxqvF74SVBLpFuQbyBy2GUAXChk2GzwZxRHUCYQEdv679kbtnOXu4YDf0dhyzC7BtbmKusC6fLXdshDC49g38WD9nAAB+Y/2FwqIIi4lMBWfCEMCXPml7rrmfOLv4t7n/upb6AXk+ubp9NMFvBAVFvQX7Bh/GVYaURv7GxsdnRyqGDMSYg2kDxMaNyMeJSoiAR+eH84fmCG+IJogsh7GG5IXuxCAC6QLWBMDHFwgCCAaHrUaMxf6FFgTjA5ABm/8IPJE5gfb4s70xobA4LrXt/6ztangqWLA8OQmASAITgAd+8oHCSJyM5YvRhwDDEMDwvsI8anjR9ll19jfzOYN5ljhvOFg8B8EShXXHVcgTiEeI1slxSOHHuoYOhWGE0QQ9wnmA5X/BgRFEQEgyye+KUIpAypHK8MsLC4cLioqoSKVGMAOXwjICBAOPROfFtgXNRmWGQUZ+RX2EX4M6wSJ/Gvy6OPKz0O7564Xq9irLawYq3+x+b+C1iDwrwDbAlAE3g6TJeU0bzGVHoYLO/1Y80/sxOFh1cnKQcn4zojV1dpL4Yzsl/wmDuEajiKiJJokdSUzJk8krB93GJkRTgxMB4wFHgftBp4IQxBDG6YjOigxJlwk6iRHKGUq2CxJKlwj1RwgFu0PlQ2dEPIUJBmoHKUd3BzJGm0YmxX5EawN7wcI/l3vxdm5w+Kvg6WppP+n7q88vhnRluVk9s39T/2pBlEaiTRyQOw4YieYGGQPuwS29uzn1dgC0BHLy855zq7L4Mh0zoLgR/YBCR4V9xkoH+kiAyeZJ3QidxtCFhETSQ/VB4f+aPp6+kr9xgL1DekXSB5BIUMiUiKQIdkfeB4/H08gmx5AGf4RSAmoBfkHgQ5IFIAXAxrpGukYEhUmEP0JOgP0+lzyd+Wr0xG9qadqmfiSoJhIr9nPne2z/jf+Q/kGBPAZHTTARRNHVD8MMhokqhfIBjnxYdymzvnLXNBT01/RAM3PyxPS/t/r86AHGhYUImopBi66LmwptSJEG98V2xI1D9YJAQKO+bH22/pP/4kEyA2DF4ce0CQzJzUnSiZiI2wfKh0uG24WmQ7NBmMD+QIsBacH7AiaCqcOnBYFHRkfjhzGFSQMywHd9gLomdOLvZ6napXbh4mD/ZTftwDeWvcd+/Xz1vpUFC0030faSw5GMkIMPEoxaSDDCVnwxtd/xYXB3cs01LjR7MqhyLnOsNzb7az9PwyCGuwlSC6KNds1lC3WH2gS4QpVCaAIngVI/jn1O/Ov92n7PwB9CCkR8xchHzQm8SkMK1snsx+RGXoWvRFXCQMBj/ye/W4AzgD3AUUDWAaxDTsXEB7JH5IbUxE2CMsABfQc3ai/NqJSjAmGqY7FpQPGluG865Pq5+58AUYc6jNnO4g7GkcxUVNR30RDL/UVm/vD4PbMJ8vS0JPUj9PC0N/QLNYM36Pl9vB+AL0SLCR7Moo8pUAwPLwvhSGHF0ERlwzwB+gCwv1p+FT2qPgT/AwBigeADqsVYx6nJpIrsSzDKg8nQiKRG04SyAjQ/nv5EffZ9fn0AvWy9pj5B/1jARMHHArwCDIF/P+m95/pvNOwtjqZtYbbg9mSLrFw0ifnceo39pgE0xNNHHsb1B3WLLhDeE1BSh0/Gy5YFhn4n9ltyUTI88nXyofNy9SV34TpBezY6zfyrv43Dp0ffzLhQvpMd0ouPrwvdyLOFo8MHQSi/sH8r/zr/yIEdQhwDDMMngf6BzYQyBqsJf4tzTAML8ks8CXOGrkOxANo/Oj5YPqb/HcBkgTzA0sCfACB/hn+HP6L/Jr4cO583S7GCaoqjgGA0YktoDS8btM36sIE6xiEIOkRkwUUCfodKzXiQVJGQEb1POwmiQUp5+zS1cZCvmG6SsHo1OzlK+xW6Qfm3uli89b9BwyAHpAz6UInSJdFOz+pNDkjMRIWB84D1QROBgwJsxB5GWAdvRU9CasCgwbkENIcKidXLdQuJSozIFoUHApmAhn7uvaN99/9BwaaCtwIBAPj/SP4zvSC8wrxcOpo3Q7J0a9vmVuMM5Dynreyssu07RsS/iSqI+YNHv5VCUgeoy0VNK41JTUoMaEbtf2a5I3RYMF7tUu1MMb93kruGetX5UbmFO/o+oUG5BNkJJIzbT0JQPE/gjngKWUVKgU4/woDuwq2FL8cQiORIlgZrg4NC+MOlxijJWQvSjf1ORU0GihRGooNhQQS/lH8AgD/BS8LgAwmCRYC9/kZ9H7vx+vQ5u3YisQ5rYWaeZTAnOislcCa5KAM5B2+FYwBjvbOA88aWyhiLV8xLDXwMUIduQVQ8MTa9MRMt9O7I88H4OvjBdxt12PcQ+Kd63v63g1iIRExljwlRA1DwDRSHnMNkgfxCkMRTRj2HTEfIBfzBsv48PLy9ef/MBGJI+gyfjiiMjsoXR7PFY8P5gwLDs4TvhifF0kTdwjh90Dpl99l1zHQkcVRtYSls5xSneKpMr7r3sUM9iRYJ5kWsQYXDREcMybDKxsx6jQvMGUgVQyA+Bnjacw7wJnIdtpG5KvhXdvT1o/UetW43Hnrn/w1DkQhKTMBP5I+JDIbJJ0bOx01KHcy8zcyM3cjkQ63/tv0cPHA84v7igdhE60Z7RdjEOMItAXfBnoMYBaVICYmoyMzGjMLi/kd6HLXrMl+ue6mp5ctleufC67p0u34LhPGF5ALOQf9FloovzGzNh078jw8M2sgawxI9EPa7MlBzNjddei74wPbC9WL0R7OCNAv2hrq2/pdDW0lszRMMycpPB8TICYppjGNO40+JjU1I7cOdP/s9Dvvw/Bf+5kGFw1UCfMETQCD/R3/ywVZEToflChWKiIgahDK/KzqOd1ozTi6Y6krnnehTKUotljcB/h9DFsJ3QP9GEcqzTISNi847ztqL0cfnA9b+T7gQ86W0/vk/Ong5fzi9uGa3QfWW9bg3BrkgvDdBREcsia4JeEipSZNLIgxUDtlQ+BDpDu2LRkgPhFDAzn+f/9lAur+M/lJ9nPxku2s7N3yeP9oDLUX+Bw6GFwMQ/0K7tXdhMtivAS2n7Qzs7bEV9ms6mvt++Tf8AoKIRkTKuQ110DqQLk2KCk8Esz3PuT84h3pyulT6EDk3txN0QHIh8VqxvbKOttn8JgATQpDE/8bbCHDJdcvZz5ERkdGvkIyOZot0R/RFm8TJg3zB9sFRAON/R73dfOI8iH2jf6uCKoP3gw4Bm4AWvIA4qjRvse/xVXFwsXY0y7nMvEk7dDkAe0s/bEGaRe4J2AxPzG/L4gqSRnsAr759QDVA9MAUQEu/bHwleDt1AjL+cCRwcnO6NsW4lDoiPNT+fz+8AmcG5srZziYRKZJj0P0N7UwhCkvH6AVag9+Cu8BG/l88YHsd+149ZAAZAXdBl4IAQf1/+7yi+Rg2XXSndFOzyLUauHr6Bnq5OXE6QjwmfS9+wIGcRBYFFoYsBoFFS8K5QPQBhIINQlYDIAOAgrMAIP3hu2D42PegOB95mXo8+Z25XTkrOU46270z/yOBLoMURSoFj4WVhaxF/YWsBQqFBcSSQ1OCJsF0gVZB+oKCA++ExwVxhYqGv0ZTBd5FJsSGw1nBVACxP8h+eLx4u7h7Wbr4efd53Ho7+cM6uztFvBB8RX0dfcD+EP33Pb59kL0ffFC8KTvgu577hzx9PNL9vn2Yfbg85zzWvb++SL+HwPHB9EIcwbWA8ECqwJnAtgE+geHCs8LUgtFC0oKuwwuEU4TjROIFPMWMhioFt8VuRYwFvwVdhV2E1wO4go+CaEGFAI0/EL3VPKC7sXsMOwM7DPsDu5k70fv++5777vv0+096wPoHeUO5LPjqOWT5ivp++vs6zTrIOw48Cv2Of4iBXsJbArXCUMJuAfGBZMDggTnBJgE5AONAjAD5wU1C7sQDhTPFaoWuRY9FQYUxRMbFc4WNBe3FQQTnRCSD44Phg7TDLYKMggFBSgBHP1a+jj63Pp++eb2lfRn8xry2fD47v3rr+nV6GTo+eVJ4yLjieSC5XTk3+MZ5Pjkk+dX7FfxZ/XJ9+P62/zv/Ej8a/wv/Tv8mPr++Mj3ffcK+ZL8FwEXBccIlgstDcwNaw7CD6kRnhMVFCwUMxMsEvkRzxLAFPMVShaFFcoT4xD4DBIKdAnXCsMKggmnB2UF4wLM/5D86viX9R70+vNg8mXvO+2D7GXsLevI6cHoS+jI6CDq/OqE6zjsje6k8O7xtfKE8zr0d/R79Gf09PO78w70n/Vy9/L4bvra+/D8n/0e/p/+VwBjA58GwghACVQJsQmTCr8L9w1+EKMSnBMDEz8Rww6XDawOxhBFE5AUfhVDFcgUEBS5Eq4PVAxSCpUHRwNG/fT4pvZ59ZL0Q/QR9IzzpfPw9Cr2yvXd9Oz0YPWN9AfzlPH+79LtueqF6DTnu+ZS6G3r+e7+8GfyFvTs9Gz1BvVh9fn1rPbz9+T49fhG+Ij4E/pn/N/+qwDQAuwE7Ab7B88HggewB+AIfglwCjoLhQvzC+wMww61EAgSPRPsFAcWHBX3EdcNbgvsCbAI3wbEBQMFCAVPBYkF9ATcA9YCHwMPBP4DdwNYAhMAQ/xx91PzI/DP7ZzsxOyC7WTt8uxV7Ojr2+tC7CftZe6Q747wFvGj8LbvLO9t7w7wsPBP8WHyq/MG9Vz2MfeQ90348fmb/EX/GQHMAbUBYgH1ALsA0wCWAa8CRwTRBIcERgPhAQ4BQAHqAbkCxAMbBbgG/geECJEILgnFCqgMWg6tD4sQPRHMECEPzAxNCsUHGgY1BbsE8QP/AksB3/+w/kX9oPtC+n/5QfnK+Af4NPcf9qn0EPPq8V7xOPE+8WzxFfJo8gnyj/HN8FPw5+9p8L7xefNz9BX1LPXK9Hr0RfSF9Af1RfaF9/z3vfeT9oL1vPRh9H30Z/X89of46fm++lT7FvzO/Hj+vwArA/gFhQj3CvEM7w2WDQcNzgxzDGUMxQu1CvsJpQmmCScKlgq8Cu8KJAu/CxsMkQteC9cKTQqzCakIqwbPBKUCkAAo/yH++v2B/aH8z/sn+5v65PnE+Gv4JPjZ9/b2wPVx9NbymvHd8OjwcPHZ8fnxyfEq8ebvdO457Y7siuzo7Jrtd+4t74bvje+J74XvAvBd8X3z4PWh9wD5IvpW+wL8M/yI/HL9j/5Y/+H/2v9m/7P+D/4a/oT+NP8YAEkBqgInBPIF5AfDCRsL5gv9DIYOIg9JD54OOA6rDuIOAA/HDxYQGBDHDzEPmQ5FDiEO2g1xDQoNmAzkC2AKAwhyBdMDZQOpAhcCSgEaAHP+XPzi+V/3NfVC87nxXfF/8ZXx+/Af7zbt8etj60jrg+vJ6zfsnOyj7GLsuOsE62Lq4+mf6qzr4+yK7XbtTO1h7cLtT+4j76HwiPLS9Fn2n/fN+GX51Pnv+ez6ivw2/rz/2gDjAeACZQP5A2AEQgVgBqQHTAnmChUMwQzHDLcM2gyIDW4OVQ8SEJEQtRCIEBQQmg+YD+8PURDxEJ0RhBHFEHMPvg39C54KxgkXCfwI1QhFCDoHJwbPBDIDlwFIAHr/U/8W/4T+2v3Y/FP7RPku9371IfTG8iLxJu/Y7d/svOtt6ovpdOkF6t/qmOsE7Y3uT+8k79zuJu/178fwS/HJ8bzyDPS19On0OfXH9Vz27PbT9zz5GPuo/Kn9Gf6l/lX/xv8lAH8A2ABFAXkBeQFzAZoB3QEKAnICiwPoBD4GJgebB+4HVgjSCKIJ0QoxDIcNcg48DwEQkxDUEJsQ9Q/IDxIQpRA6EaYR8xE9EisSvxFFEQwRnxDJD4cO+gyYCxoKbQhgBnsE3gKNAZUAQgDhAUYAmf4+/JL6qPkj+fX4cvgl+D/4CviO98T2kPUv9GLzo/Ix8vTx2fHY8anxPPH08J3wnPB38J7wUPFB8hjzx/Mr9DH0JvQR9CH0TvSi9C71nPUa9tz2VffP91L4+fjx+Qb7K/yd/SL/rADGAVECuAJvAzIE5ASxBZkGegdUCBwJiAkXCuwKiwtkDEENDQ7eDn4PcQ8mD94OxQ6IDggOpg3wDS4OQQ61DeIMDAxuCxsL2QoKClwKdQrwCmwLrAvSC+sLPQuHCtsJcQlGCSoJ0ggeCKMH2QbRBd4EugOkAskBxgB7/63+Qv6z/dv8r/tn+k75Sfim91b2kvVI9OfyofEK8Lbuau2X7B3swuuZ663r5+su7LPsneze7FvtPO5u78nwS/LO8zv1hvaw9734ufnA+uP7Ev1+/t//gwE7A7cEuwVZBuUGbQfmB1gIRQhPCGAIUwhCCAMIIAh1CMcIPQlrCVoJeAnsCSsKgArGCtgKAgsiCwsL3AruCkYLpwqaCiUKdgp3ChsKQgqVCvQKrwqRCscKkAsNDC0MPQwIDHIMNgwADMMLVQtwCmkJgAioB0kHwgWSBNsDhwNnA1YCPAH5AIL/C//K/QX9jPyH+6L6Uvot+pf5nviV9/v2jva99dz0I/Tg8+jz3PMb9JL0NfUk9dL0jPSJ9M/0HPVd9f31zfb59/P4CPox+2D8d/1i/hn/4P8zAUcCOgPRA3IEfwUeBjwG5QVzBU4FEQXtBMcEFwWwBTkFUQXaBaEGOAdkB9AHswifCfcJ+QkqCpsKYgrZCWAJuglUCvYJIArtCaAKzwpVCjAKEQrPCVkJEwklCTgJHgkOCdkImgg7CG8HTAcZBy4HMgccB4kHhAhKCakJJgrfCTsGogUgBE8FugWvBRkFQgTJAlkBgABR/5z9w/xP/GX6Q/iw9073MPa29AT0lvXU9ZL0evKD8ILvwu5m7m7v2/Cb8ury6PK09Lr1Ivau9R33DvpH/REAvAJPBSAHAwilCJgJsgpwC1MM1A2pD5oQMw95DRQMAAuJCVwIyAdYB74GJgaABZEEeQN2AvsB3gGgAZsBjAE6Ad4AmABjADUA6QCQAyMDvQRHBV8Gxwe/CGoJ5wpfDDkNHA6pDjcPTBB6EBwQDxFeEx8TZxGFEJUODAxBCk0JqwnVCZkIPAeDBdUBq/9yAPT/3P7V/Xz98/sH+eP1zPK08J/slenh52zj3N9e34ffouDS4yrrw+yA7WjmCeer7Njyh/e5/ZkD9AidDP8Owg+NEM0O7hFYGQgeah2eG3EYLxV7EGYKzgVEA8UBpgFhASX+mPhO85XwW/B78NHwOfLz9cb3Kfls+CH3cfcU+sb+DgSZCY8Nxg6lDx8Q/Q/pDuQOFxKWFckXhhi1F4EVNRIMEFYPTw++DxERtBJcESANQwniBpMFOwWJBj8IwQgFCNwGQgVYAof/1/9eAWUDxQR0BMcDpQAj/jH7YvdS9WL0QfHL6jLhydbnzmnMLtCh0zPbF+tn8X/yaudL58nw0P7sC64ZACSLJmMjaB72F48QuA4UF4IeAhu/EqwHU/vM7lzlGOLL4eTlNOmv6RHkBdwL2Src9eNv7qf67AZHDocRjhARDmIOSBTeHNAi4iUVIvsZzg+MBWr9Vflz+Uj8fv66/ff7UfgG9VD46v0iB0cQIBcTHDwcSRnVFhEXxxiaGtQbJRzBGC8SVwvRBM//bf4h/yoBp/8V/P73uPYW9gvzf/Nc9rD3uvZD9F3sKuOc2f3S1M1CzQHUBd3R5KHv9vBA7KrnLe6A+oAGcxLCHp4kzhtmEccJYwOCASkHqA5fCXgAVfdt7ALibt2e4ZXoc+9D9Nf1JvGT7HLwDPrPBHUQYBuvIFcetBhZEd0NWQ3nEd8TuRAWCEn8tvCr5zXjI+W36Vfv/vJz9PH0tPfPAfoOIR69KuYwxTURNFIujSc7I7oh/x++Gg0SLgZr+UDxHe3B7BLv+/Ij+Df6uPnf+T78IQFTCMwOORKgEsgPAAopA9H7Xfhn9LvsE+Ka0zvHxbcSsNy3+sJ+0LrkRPVC9yjuM/PECcAgODFTPXlB+jmmK8Ef2xL4CPYKiw7kBMXxnN8p02vKpsmpz8LZyeRJ7mvzUfNW9XoBShQ8I20tajLcMPMpxx7AE/0M5gpLCTUDePfy5/Pa1NIT0InS/tjW4e/qkfHl9Hb4xAC8D8AkATeuP7hBpT0INVQpmSFXHDEY6hFvB3D5UeoK4I/fneSs7IP25/9wBToI3QrTD9AY9iK2KPQnzCD2F5oRnglVAan+WP0Y+XHwb+Kn1lDO1cqvxJm807q0vXjK5NfV5zMENgwyDQ0M3Rf3Kto1KT5zOKEwWSF1EPP+KO/25RDoeecH2yfPbsZUxXHM89eT6HL6CQvoFUwaARtPHsQmwS9SMaIu5SL4EawAxfGH5mrhUOCe3tXajdOyztLP7dbN46fxv/40Cl0TexhXGQgbNSDoJOwq6isqJ/gePxRxC4MFPAMMAxwDgAKbAFf+Zv2+/7UFRAuGD0gUnBdbGMIXfxY2F9EY8xq+GEISMgqZAk79dfqA+df5B/jJ9kD0S/BW6+3pCOvq64bscez86LHijtw21XzObNHx3X/znQn/DdYDa/qf/vYPxRprI/gk4SQBHUUPmACE8dLtZPNK/LD22uzo4ije098z5P3sNfi7BP0Mag++CtkEfwWAC0sS8BSkEyUMYAJa97XsoeYn5qfpIe5R7vvqM+jj6LrtdfUP/hgG/g6jFZkXmBWhEnkRLBKMFJ0TPxB8C5wGzALa/x8A4AHgBbUK6wymDDYLCAy9DeMO7g+6EHQR7A9wDW8KmgdVBtgGaAjsCGYIEgfWBVQEXQINAa7/5v5d/dj81fri94T2vPVM92n5Yvpu+PX0E/Nr8EHxv+/U68Pn5uBs1x/Mm8nh2JL0FxO/EdMEGvjxBGAULRsnHZkhiyXjHtERmv/46d7Y/N1y7PPvuOTx3ObZttoW3VPl8/AE/WMJehXfGw0WVg+ZD+MVZBkuGRsVXgtB/urwBufk3+/bcd3a5VDux+8g7Ozra/FY+iQF/A8MGbsfqyLdIJca4RHPCogHcgU5Ar38v/SS6iThSN3S3x7lI+yC9QEBngpgD4cSXBZQG7Mf9yNRKfAp6SS8G0ISTQsuBYQBzgBa/1r+tPzE+1z7PPsK/YkA9QUUC94N+A5sDSgLyglrB7IG6QQlBKoCIv/x/WH7Dfh19lzyNPCl7VbpUuVg4dHcINdH0K/G9r7pxxXvPBZdINEQvgHJBVANmhAMGuokwCkDIBkXrhOi/pzdJ8tk0h3l3+tf7d7preU+3KnWZd8n8AT8GAWKFeglUihiHWAR4AitBB4EUgljDkMJrvp76ETfM9n+0Z7PNNUm4QXsCPLz9DX0WPNy9L36zQZaE0oabB2HHksdthZpDR0FCv8Z/DP95QB7AHf50+5z6NnoJ+r669Dy3/53CoQS5BdaG6MZmRRUE98YISLMJ3wmsiF+HAwW2wyZBvYCvgG+AA4BOgKvAZ3+m/oc9+L2Fvo9/iQCagRYBOICUgEYAN/9PvuL+iL80P5VAJUBOgF8/5X8nPtP+xX+Vf+H/cv6qvhF9SLyMO1Z6QXnfOUQ45vfo9mj0XTMjtHh64gUhCerHecClPXq/VsKHxGXHAEkXSPeFYAIIARK+0bm9dALzG/YF+fP7JXrVOch4Z/ZEdZR4GryJAGEA0UHtw+DFVUTQwxDBDT//P6zA4gMDhM7D8UALu2s4RvgIuCG4rDlnurZ71b05vet+SD5rvfV90f8kAdaFlghiSRUIfAaUhV1ERkPlg0BDMIJgQeaBgwFs/+w9iTtL+jd5+fqs/Dd9z/+RQLkAxAFzwixC9UMQQxRDQ8Saxg6HLobPRdgEFIJyQLDAFUCkARfBBAD1wEOAREAd/6D/BP7APwz/8kDSArlDSAOiQx5CjQJ4wjNCDkJUghkBxcGpAUTBf8C0/6S+YP1ePQ/9rb5mvyp+8L4zfX/8zL0p/Ww9qD28/TK8RXvFu3t6krmwN6a19DUnNfd4DnyAgjwDbUDQfK96BXtB/k5BDEKzg/7EhQRhgmkArz+DvkN7ezfK9yH52T1cvyB+4j0wevA5KjgOeNS7ub7QAQACJgKRg34Do8OlwvjCL8F2QRLBvgKixB8Er8N5gJX967vSuxv7Wzxj/Uq+Gr5RPnt+JL43vhr+Ef4Mvn8+80CCgs9EsAUxhJQDloJjwUwBKAFSwh7CckIRwerBMoANfz491n1o/MZ81/0Vvj2/fkCaQXPBJcD7gOYBVsIsQz4EZUWjhlsGosa7RkvGEwVsREFDjULFgtNC9EKIwjKAxf/LPuw+Ez4JPlL+gb7m/t+/H39F/7a/pT+2f5f/24AggJ+BecHAwcEBAoAkf1T/K/7Svvo+gX6mPhX9tDzSfKP8TDx8fCv8IDx//BN8jPzfPM485TyTPJ78ALuZ+w26/7pXujt5pjoffSQDGEZORPiAODxtvDn+JkATgjPEBkX4BMqCKf8NPkO/Gj3GO7a6SLuGPfZ/okCeAGj+izw7OXN4cPmhvLO/jkGMgdQBSMCCgBTAOwBUwLyANEBnwcwDwEVORb1ESsJw/1m9iX3PP3vAxoINgnpBwUEBP7u+TT6YPvW+zH8Qv4tAzUJ0QxiDDUJqQQFAa0AsQSdCy4S/BQvFVgTww9sC/cHdAZiBU4EQQMXA9IDoAT5A54AJfvu9Q/0XPSf9az3evp3/ZP/CwCF/7sATwLQA9MFxglJDyUTeBRYEswPRAxaCUMIvwhJCVUIDQZ0A+4A4/7M/Lb6APnp96L33/jp+jz8FP2e/J78vPxo/ZYAowMmBpEF+ATMAxMDyAK1AtECiQJKAcT/ov/F//X+4/wJ+on3q/YM+PD7n/4N/jL7SPf682fyk/Kd8230O/SC8yX0ZPQd89DvWeuE5n/jC+mc/p0TzBRWAQLy5PAf+Pr/lwe1EWkaxxP9BhEE8Qp6CRIBUvw5/hAB5gBLAuAKjgzI//Ly5PFN99b69v5EBlELXAcT/SP8XgPaBdwCygO+BwIJFgnSDFMSHBH3BtP/LwLsBhsIxQuuEf0QKQkzAvcB+gTYBIsDAAW7BpgDZwHKAyoFlAGl/BP76vyF//cBrgQ8BrkEagGf/2v/FAF9A1IFkARvApEBFgLcAUcAHf/L/on9zvtv/E//fwBp/7H9NPzI+jv6uPsA/sb+Df7s/UD/PABa/yP/bP/R/qb9hv5vAdcDlAQPBAsDYwKsApYDDwSpAx4DRAPxA1YELgULBnMGGgXoAt8B0QJvBHgEvwMAA24CpwJ0Ay4DnAGpAOsAZAFwAa0BLAPrA64Bsf/uAR4CIP8Q/hgBEgEZ/9D/vwEY/8D7m/vh/MD9Mv8OAQ4CuACZ/jf9xPzh/a//nABWAXsCcgKpAa0B9ADM/tX9hP9eAa0C7gN3BPgCnQCK/5L/kgCRAswEnQaIBv8F0ARjBIgEkQWqBcIFBwc1CH4IlwfABpcFkQQABEEEbAQZBakEgAJ7AOn+pv6n/zwAk//f/mz+D/+p/9j+Pv5e/mL+Zv4uALMC1QI8AOH+7/+LAagCCAMnA1sCGgGwACYBDAGU/4X9Z/3x/mr/n/3W+yX7APtu+wD9QP/7AFgBBgEzAYMBPQEfAVsCHATZBIYErwOiAm8BXQAAAIMANAFxAa8BDgKEAXYAUAAfAcoBNwIsAxYEOQR0AwMD9gL3Ao0DuARlBesEAgRSAyUDLQMfA/0CPgMMBKcEZQRtA2YCeQJNA4EEjQVKBX0EWQRoBTUGRgaaBiwHJgfEBpcGnQYnBnEFVwVPBd4EYgRuBGgENwSzAxADLwPrA+UD5ALvAV0BYgEZAjYDEwTxA9QCwAInBPYEkwS5A58DxwOhBKkF4wWiBEADAwNyA2sD4gKtAVkADAB+AKMAn//t/g3/3v+tABcBxADx/5P/lwCaAaMB9wBbAMr/Yv9J/+X+U/5B/lL+Bv7O/Rr+g/7W/tL//QAiAsgC0QKuAhsD/wN3BNMEdgUdBoAFTwQYA0cC7AGBAk8DWgOVAlEBAgAq/ygAtQEkAtgBwAHFAYcBlgH6AVkCRQORBB0F1ARABM4DzAMGBCwE7QPNA/oDlwNLAp4Akv8H/3T/nQBJAfsAagAjAAYALQCGABkBoQEHAu4BRgEVAHb/4f9MAOMADAGKABAADwCEAMkAqAARALn/BAAVANj/if8t/+3+YP8pACoAbf+N/1UAHwGFAbAB6wE7An4CUgLUAf8AKgDb/xIATADe/y3/0f4d/87/nwAZAUABngHmASYCRAJ0AsUCCgPPAkACdAFcAIX/Tv/g/00AXwBBAE4AMAC8/1r/jP86ABYB0wEXAg0CtwF3AXoBqwEAAmUCwgLlAvICoQIVApMBoQHLAdoB/gFzAggDEwPJAskCVwPxA5oEmgW6BkYHDwdkBrYFKQUIBSoF9gS8BIAEqgOQAq0BEgHEABIBwAE9Aj8CogHiAMMAVgGvAVIByQDj/z7/h/4R/qn9+/zO/GP9Gf7W/U39MP1I/cr9kP5C/1n/k/9ZAB8B8QAcAHsAfQFaAysF6QL0/67/7f96ALYBpgHxAAwBMwHEAAYBsgHaAX8CCwPdAlgCMAIdAnsAtv4f/0YAJAHuAfwBYgGRAG8AYwDeABkB6QC4AFYBpQE8AfEAMgFbAagBnQEuAbcAwQDaAC8BXgEaAXAA7/90AKcAHAANAIoAnwCaAHQA9f80AJ4ALgE0Al0DJgNCApkBOQIXAmkBZgGMAYYBNgHOADIAqf+K/5P/yf8yAH0A5ABkAeQBuAFvAc0BPQJKAkwCoAKIAksCswEeAZwACwBz/wH/4f6Q/6b/if+9/xkAJQBWAHAASgA3AHsAzAD9APoAwwA0AMz/sv/V/2P/6P5H/6v/jP9r/2j/kf+L/xgA5QDuAJ8AogAsAYIBTAHfAPsAowEdAjgCSQIZArQBuQE6Am4CQwJOArUC5QIQA0gDGQPOAhUDggN4AyADGQN9A6wDawMtA8kCnQLWAvwCRANSAzIDLgOGA3YD9wKsAtQCzQINAzsDKwPKAm4CYAKuAs8C5wLkAvgC4wKnAjEC9wEUAmsCkgKLAnsCNgLbAfwBfwLrAgsDOANJAy4DIANLA2ADOAMkAx4D+wKcAkQC3AGvAT4B8gDRAOgA0wCuAJkAUwDq/6n/2f8RACoAVwBwAD0Auf+B/57/uP+2/9X/DwAfAPT/KABlAEYANABmAMkAEgFVAWcBMQHaAL4AyQANAXgBegF0AZcBqAFaAf8A4wAFAVcBpAHUAckBlgFmAVcBWAEjAb8AqwDoAPwAqgBRAEoAgQDSAA8BIAEGAdwALQG0AfEB1AGNAWoBiwHNAc8BZAHgAMQA3ADRAIUAHQC9/8f/NgCKAIkASQAoAEEAjAAfAZcBGAJfAn0CPgIKAuoBmAEcAQoBYgFTAbIAIgDd/3z/Xf9g/8//3v/Q/8//xv+B/2n/x/8vAJIA1gAtATEB7ACVAGAAXACHAJ4AZQAkAC0ASQBEADkAMAAxAE8AywBdAZMBaQE0AW0BsQHbAeMB/wHgAbwB0QELAsMBEwF3AFkAmQC8AJsAUQD6/7b/wv8dAJ8AtQCfAJAAoQDZAPkA9AD3AAkBQwGYAdYBugFpARMB2QDEAOYACwEwASsBHgHyAMUApQCEAGQAcwDqAJYBAALUAX8BeQG1AcoB7AErAikC4gGLAU4BIwHPAIoAWwBwAIgAtAC1AJwAtQD2ACoBjQH2AToCQAIxAlICXAI5AhIC6gHAAXsBQQH7AIYAAwCn/5//uv/A/6//hf9H//v+zv7o/jj/nf/u/ycAHwD//7r/e/9s/2j/Xv9X/1f/ZP9w/4T/Yf8B/5n+n/7v/jT/hP+6/5b/Pf/w/r3+pf7M/hL/Vv+Q/7b/pv+k/7L/pf+Z/5f/y/8DACMAKgAIAML/Yf8M//n+Ef8q/1//l/++/6r/m/+T/2//Zv+f/xsAnQD3AB8BCgG5AEwAAAABAF8AvgDlAAMBDwECAbAAVQD8/7T/mP+3/+v/CQAOANb/Yf/W/vH+//4L/yL/Lf9p/77/xv+C/y7/9/7+/hz/Sf97/5n/gv9U/xv/6P7J/rr+wf7e/gf/Qv9y/4T/Tv8V//b+Kv96/7f/vP+Y/4D/gv+G/4L/fv9t/zb/Bv/3/gr/Fv/y/pr+PP4M/hj+I/4q/jv+Rf43/in+Nv5k/pz+tP6Z/pv+0v77/vP+4/7f/tz+zP65/sf+Bv80/+7+kf5k/nP+lP6t/tD+A/8f/xT//f76/hn/M/81/xj/8P7h/uD+6/7h/r3+e/5d/m3+nf7r/jz/Uv84/w7/7/7d/tH+xP6z/qX+sP62/sz+6f7r/sf+of6a/sL+Gv94/3//g/9e/1n/gf+0/87/yP+e/23/YP95/43/gv9M/wf/9f4y/2H/if+q/7j/qf+N/4X/kv+F/2r/Xf9o/4L/rP/W/+j/8P8DABIAFAAbAC4AUgCAALEA6ADaAKIAdABVAEYANwAaAPj/1v+4/4r/Xv80/yb/NP83/yX/FP8l/1f/dv9//3T/VP9A/1//oP/q/wcAAADd/57/TP8T//j++/7y/tP+sP6l/rH+q/6F/lX+NP4h/iX+TP6T/uL+Fv8e/yX/Jf8Y/xX/L/9Q/4L/m/+w/87/3//T/6T/V/8k/+/+2/7c/uT+5f7Y/sD+w/7R/sn+x/7Y/u7++v4O/yv/Zf+M/5D/d/9N/yH/Dv8V/zz/Yf+D/5D/gv9i/z7/I/8T/w//HP8k/yX/Iv8T/wz/Cv/7/tb+uf6u/rj+5f4P/yD/Ff/3/t/+0/7R/t/+/f4X/yn/O/9B/zP/Ff/s/sv+xf67/qn+m/6a/qb+vv7d/tP+vf6p/pb+hf6E/p7+xf7f/tj+0f7i/gX/Jv8w/yL/H/8N/xn/Qv94/5v/m/9+/0n/9f7H/sb+3/7m/tT+xv7a/h//Q/86/yP/Df8N/yH/NP9H/2L/eP+J/5L/l/+T/3v/VP85/yr/Rv93/5T/qP+z/6X/e/9S/y3/EP8H/yH/U/+G/53/i/9X/y//Gf8f/zL/Sf9Y/2T/g/+l/7T/j/9z/3H/av9T/0z/ff/O/woA+v/d/8P/pP+T/5D/j/+T/5j/yv8PAEAATAA4ACYAHQAQACQAUQCiALoAxwDgAAkBGgEBAeEA2gDbAMwAuQC7AMgAwACaAGUALgD+//H/3v/4/ykAOAA8ADgALgArAC8ALwBBACMAJwBGAGMAbwBnAF4AUQAyACAA/f/c/7j/nP+T/5X/if90/2z/eP+F/4n/f/+Y/8P/2//e/9j/2//e/+7/FgA5ADgAKgACABUABADs//7/AwD+/wUAEAAaACcAAwDX/8v/0f/N/9v/2f/A/6X/m/+c/6H/pP+i/7v/8f8AAP//EwAhABUAGAAmAEQAfwDCAOgA6gDLAI8AiwCKALcAlQB9AFYAXABKADIAIgAcACAAPQB5AM0AJwFPAWEBogE5Ai8DvAMwBMEFxAY1BxAGIQWfBR0GnQXaA4oC2ALMAmECCgEL//L+LP6p/Kz9F/41/k3/SAA7AIP+gP1T/vX/PwDi/sb+5QCl/14AyghYB/36tfd+A1oKNgP/+uT/zQdfB9sBzQFzALEBNQOFBJUDIAPuAmMCBgPRAET/YABCAkkCjgHPAfcB+//L/jAB+gLtAKj+2P+SAb8B9gFdAZP9B/+lAQ/+Z/Wl9FAJ0xDz/4f0QfwjATkAPPz0+03+fP1lATsEav9r/XYCAAX/BkwEIwNiAi4IIwXrA/sEwwGU/ksBDANR/8H5av0j/sT4TPmhBEUMPwCc+kIBSwVKAMj8O/x3BbYEFQOFAmIDqQH+AMf8sfvTATsDlvsE+Iv7R/4mAM//EP98ANIF6AX4ALT/ZAE2A08ADwEuAmUC0QNaAW4AdARJBkoCGQNPBaMEygXxBWQCQAKiA9UFd/8h/c4AqgNQ/8v6MAB8+xn8N/9T+qL3LwS+CJkCJfzm/q0CGf6R/LYBRQIH/RkAsAHC/XX9BQRRB0YCV/4ACbcJLwHqAQsGHwRlAhEDqQOSA7UAiv4lABj+u/3/+wkAKASU+Vn9s/9O+6kANvp2+fj65QKxAVD9zwAR/pf8SwR7BnD9sPl4BQMIpfxE/IYB5AcGBab+EP5jA0gCr/sMAeT+3foU/6b/ffrL/78CjvqN/HQGJAKV+sgCkQgwAr0AewUBBev/OwBPAQD/cgIUBWr8f/qgALUDhwE8/bkAeQLf/RUDgvs4/rwBWgBy/pj+zf3XAQv72/z2AQ/7vwF1AD/9IP9Q/9P8RPgk/iQEWfr6+bL77wDJAPMDugUaBvEA8gEMBp8FnQQkBqn+tQLXAn8BwAHA/2f9Kv3lAfsA6vsL+Uz/5/+d+6j9KwMNANz6pACDAhcA0PvoAOb8HP1dAgcA2v2WASL+8vq3BDoFXPz//73/Jf8DAmf/fvwCAxf8Lfp+AuoGXv1//LQFR/vc+14DvwAbApH+aP7+/KD9igFe/V39Iv6T+wH8Qv1nA+X4bvOHCXELt/Zs+k0GNQQX+rX7HAUGBUL9GPv+/agC5PzA+JABWABx9bX7SQfmBZH4OvbjAKYEX/2Y+Xr+1gVwAQj5ifqwBQADWPcu/hr/q/3YAjIA8frU/k8Jz/un+/T8/PuE+9IDbAIC9l/2fAhnBdr6Tvga/eoAZQQi+eXwMAJ5Ba33Ke5z+AYFGgXm/HH1JPYqBUwC4PuoAb7/F/gq+VgFUAMH9hcBPQva+zz1o/s7BV4FC/2P+Cf5OgLKBa77qfjF/UIB6Pxw+br9/v42+8D+Vv1689z4zwe1BP31YPUJAzH/uPqe+mH7hAFpAr75A/uI/VUAaQTZ/3n6evqGA28DtQOP/1v30v1xBtcCjPpE/GIEhANc/OD3c/wyBDb9O/k1+ecBKv+W9ob1FwBiAtf2Fvkw/s79iftr+6743/0dATMCtfk8+4AAPP7NAGYDDvxi/b8A8AB1/w78B/zCA4EDJAAJ+gz85wD6+4z8sgGG+hz8av6A/Pz7K/x6+4j8j/rq+5X73wAN+6H1SPwQAKf8u/lNAMgACviC+Mj+yPya/RP6v/tQ/Yz/6vte93n9RgQn/sb3nPttAFoAYvx69MH0yQeKBuT1NvGr/8AFIv/Q9xv5af7B/l/4dvsSAJn7nveK+v790ftz+VMBR/tg9Yz3WvxnAjMBbfQJ8tf5kv+F/AP4KPgI+8D32vbZ+fv/jfoX+eT1xvhH/Gn+s/rD8nv5IgIEAk36TvDe+L0KQAlb90zwXvzNAesAlv4t/Lz6Hvk5+88B/QA+9zb0c/cx/48Baflr9qv5Cvt494H5Q/yr+4P31PmJ+X75zfvP+nT7ZPz8/LL3Ivqo/Sv/0PmA+ef+O//C/ZP5qPhv/C39m/7z/Hb7k/w9++v6NgF2///0m/eZ/qz6Gfl++a/4QPiW+A/5y/go+UP2FvXA+wj/Kvpi8MTxTf08/0/3Y/KK+4QBxfqg8vzz8vrfA1sCbfhX9c/5AP4i/G36GfyD/Zv6nfev+XP+rvxx+cj4uPmd+vH6yPgw9vn6EQBM/cP2Evja92L2Yvma/Ev+y/hF9zn4mvgU+cf5p/kT+Mj41/2S+0D3HPmY+0X6Bf0BAKb5TPY5+HT84f8C/8b5Cvfn+PH9Mf5y+4D3tPhu+lH52fqi+8z43vjr+Kz8f/uF+/b94f5J+xf3EvhH/S3/Vvuy+U76vvr3++D93/lG8wf1qv2bAVH9HPmW9RH3OvoO+l79LQBs/xP5gvWu9az50PpO+9j7EPul+vP4LPdZ+JL3WfYN+Ff63f1x/J/34fI89Jf5tvyW/dD6ofZ49DP2K/c2/Af+Qv3R93D1cfl1+/n5n/fd9hH7ov2A/9D68PUs9Mj1/Poc/kj8r/yS+i/42vaj9mr4rPun/QD9SPsu+Ff43/pT+9/5e/pg+gf5jvj++Yv6avoN+bP4wvml/Ff9bvos+s/6evys/sz/r/2L/Gf7NgAzAk0ABv4e/lD9+P4p/lv+nP+XAHv/xgDmAAL+Uf5i/+z/9P+QADD+wf3M/6f/y/2B/NX9lQEtAkT+Ivox+RX6bvot/IX9wf1W/oH7g/j/9TP2HPhH+kn5P/0r/bv4N/Ss8dXzTvcc+Hj3DfeU9fnxgPDK8YnzWPRa9DT0B/R+8/jwTfAr7zvubu828wz2xPVu8/fuFOwu7XzwhPM/9jv30fU28+Dw5PAI9Cb3zPhi+m36PPrv9xT2b/Yl+h4AHwNSAyEDVAPFAuwBNgJEA3AFxglTDTcNswd4BBMDyQOwB/YLAA46DMIIrwYdBuoF/wZ9CT4K3Qq1CkwKiQilBWkDgANvBXQHKgjnB6MHBQarAv3+Pf4eAn8EoQSuA5cBL/+i/sr/tv/J/Vr8k/03AY4B4f4g/En6ZPrS+pn6+/p6/Lr9zPwQ+RL1dfP39RT5HvuB+Vz1yvJz8pLynvHJ8QbzAfOi8U/ug+ti6RbnXOYx6CHq2+ct5DXjE+KV3zTdp9yA3h3hBeHK4mjknOaz5krp3uzJ747y0/ZH/dcCAQQLBnUH7AsdEE4TKhb/F0UYBhpVGy8dlRxzG+4aARu6Gt4ZmhlfGc4YyhVPEr4PaA48Dg4P3w+FDrILIQdEBQQFsgUPBjwGxQaTBrUEFwMfApQDSAVIBpMGpgYPB74H4gh1Cs8KVgk8CAAJ9QpPDGwMAAzcCokJEgiFBsoE0gIfAQ4Bw/9t/Rz7jfnj+H339POX73brIewK7iTv/u2666/p6edn5uflSOVM5dXlBua95fjkGOPk4CXh/OAm4X/hfeLx4wnlvOYc7Zv0Ifmx9n3xFe/n8Xj5ogQrCmUNBw6FDZ4M1AocCEsIVwxxE2YZARo5Fj4RIg2hC/QKawodCgkLtwxUDTYLwAaMAbz+Hf6g/tL/xwAKAaYCZQOMAo8BtABsAKoBAwVoCQkNjg97EpUUnRUDFnYWkRckGSociSDdIw8lPSQ5IgIgoR63HVoc0BsBHK8bnxnyFdgSrA7dC2EJEQfKBGMCaAATAZv/Q/1x+d71+/Oc86fzMfWf9Q73xve492/3X/aM8w/z5/NH94r6QPyr/BH8Jvp8+Ln2X/UG8yHxcvAB8Hbus+zW5rri3t9M3wHk+Oxr9eX6T/W764zlBuXm61/2uP80CfQOPhGIDoUHYgKjAQgGZBAPGe4cuRsbGGEWRhUrE5QQvgyXC34NeQ86EC4OYwqcBp8Csf9Q/Lj40Paq9y36RfxZ/AH6qPaO9F/zX/PB9Dr4XP01AloGxgilCbsKrAyHEBoV1Rg4HJoeyyAIJKwmuCjSKHsnyCUPI+IgFB/DHgogICCqHiAbWRUoDz0KKwnoCgMNOw3vChQHIQMxAPD+If+EAOIB/gFmAW8Anf+v/8YAIQLTAiQDjgMwAzsCuQFEAuoC1gHQ/w/8dfl99tTyDO8Z7ODp8uZi4sDdhtnv1T3de+m39ez5+fMs6iTjB+OH68PzFAMyEVkd0iDoGskQDQhWBzIRTBzDJMMmMifbJVIiHB0EF9sRGBBPD3YO+grRBzAFtgORAlD/gvn08rrt+utI7Nnuv/L49pb5vflb+Ef29PWz+JL9/ATHCuYPsRP5FosaxBzdH2giQSQaJZMkayQ5Jf8lHCg1KD4mIyIrHYUYARXhEs8RXRH9EOIPwQ3PChEIegevB0sIFQf0BewFxQZBCPUIwgigCIsIQgnMCUAKtgvqDFUOnA0UDCoKugkqCqAIIwUGASj9v/nm9X/xO+wf5xnhBdyV1lzRaNG/3Pnt8fxB/Yr0bult5U7p7fGiAF0SaiQoLisr6R/CEsIQWhZzIb8lUycKJ4MlLCIrGxMVfw//C3EHTwCW+MHyxvEW9XT40/eq8ibtSeiK5XfmMuuD8/X7QgTuBtwHrQbjCaQP2xWpGmAdYCDoIqUl9Sf4Kb4qciltJjUhbRtsF7cWzhcNGMgWNBM9Dg0IegKE/2H/BwL9A/cErASTBIgFHAaoBp0G6wcMCmsLMAsIC5gNAxGGE5UU1RN+EfYOHAwfCq8JpAkgCW8HYwPi/FD2mu+C6Yrj392n2TfW0tN70DrNKM8829XpzPMR8yPuLOsi7GDxKv1YDjMhsSvlK8IjBxuHGIMbdh8WIREhSCADHeoWmw+1CpAH2wNs/N3yv+ks5ZTlH+nm7CDwnPFC8Knt4ex479H11v5OCKgPXxSUF7UanB0XIIMiOyTAJOYj1SICIRsgZR69HLsX8xHyC40HzwPMAZwBHQHLAGz+DPxo+ov7iv57AZgD9wSnBfwFfAcvC3MP8hEKEo8QQQ8+DlIO+Q/AEegRmQ/gCgUF4gDL/rj84fk39r3x8eth5RLgeNvF1ufRPs4wy/3H0ckk1OnkYfXR/er+mPsy+UT6JQGbDR4d/CizLT4qRCPvHBcaYRhBF9ETQA51B10B4v2//GD8xPkn89Lo+d6k2FnZh+CK63v0u/lw+6H7MPzF/i8E6Qq3EMEUpxe9GfMckiAcJF4kcSDrGKAQDgqgBoEGzAhHC1sLewfdAIj6QPd/9674+fky/F//nQJXBboIggx7D0APOw2zC2kMww7kEaQUjBZwFtQTrQ7ZCZYGPwQ/Anz/2fvV9xz02/Cf7aHr3ef74bbaB9MfzkjL/MpVy5XMx9AP3P/odvWy/LP/iQAZAQAEcArkFHMfFCeFKC4kmh40GS4W0RPnDi0JQAHG+p71+vFK8DHwB+8A6ljiKdxw2hffr+bf7jn23/yVAQME5gWwCaIOchLWFDcW7BdiGkEdPR/VHjcbXhTDC9oEUQFxAewCDQRsAyoB5P68/Qz9qvz2/MX96f5RAVYFfQqrD8QTdxXoFKwToBIXEr8RORLnEiwTphLXEJwNQAn+BGkARvtT9rryO/C37lXt9epQ52PhXdpi02HOEMyWygPK5spv073gbfAk++4AAgStBlgI4Ak+DyUZ0CDPI+MhQh+FHrgdTxpEEysLOAOu+rfywu7P7tbwwe/l65/mqeJf4UTiUuXa6TrwJvaV+34ADwb8C04RuxPZEyAT7hP1FCYWVRfmF8cWdxM3DhQJLQXCAg0Bnf+s/6oA8QEHAngBfgGmAh0EswSZBDwGiQkyDocS8BVRGBkYThW+Ea0Pfg/SD/IO8QxgCmcHBQTx/1f8MPn99afxP+3n6Xrn+uQ14ufeudtr2PXU8tBvzZTMTM9R2FLmnfR2/4wGVAktC28M/w6/EywZ9xyPHS4ccxqxGrEZSBbWEJwJIwE++Nvv4+qZ6WjqUuqg6EDm3ORV5PrkmudS7LXxY/b6+db93QOTCy0SQBbJF40XFxa6FEsUUxVjFtkVdhJeDUQINwUyBFEEZwQGBNsCLAG+/2f/awA8Ao4DWwSPBbQHhQqnDaEQtxJrE08TtxKuEYkQfQ9hDpcMmgnXBisEDAI1AIP+n/zY+bv1C/FT7ZHr0eq96UnnJeTe3wrb7NZa08XQRdAr033baOht9dj/2wakCiYMBAzsDKIQHhbZGjoczBsUGpAZohiPFuwStA2CBkf9ovMk7e3qoetv7OjrEeou6BLnAucw6Obqt+4w8z33G/uc/zQFJAsKEBYTqhQKFYoUPRMfEq0RNBHdD3MNvQqUCIsHBAfkBrkGDwblBEsDDgIOAvEDywZZCR0LKAzwDH0NGw6FD2gRLBMVFFcTgBHSDgQMrQlvB1cFagPyAdMAr/98/un8Evsf+a72QfRC8hvxIvAk76vtCesC6ALkzt8J3P3Xc9TI0dDTTNv85+X1qABeCJsLuQz5CzkLgw2wEX0WiBk3GsEZ3xiEGBIXKRQxEIsK0wJW+ULwGurw597oReql6pDp5+d55rflaOb+6G7tjPK99hf6h/2XAikJjg+RFHwXcRicF4EVJxPYEfcRbhJiEocQrg3oCt0IWgdlBtgF6gX2BYoF0QSqBI8FXweBCRwLDwzMDEYN5w2oDlgQzhLFFH8UzRGpDdkJKwe+BfkEigQ/BIsDJQIxALr+I/7T/eX89/r+9+v0ZvLP8HLwPfBY79/t0+l05FjfYtp91i7ThdDaz7/Txt2a65T5FwSTCl4OHQ/oDcMM6A3zEaQXtRy2HjMeKh0BHBwa0xZ8EVcL8gPl+yjzJevq5VzkBubs583nx+aP5WLkt+PD47nl4+n977z2oPx5AVMGlwtQETUW0hnNG2wcnhvSGWsXoBUQFUQV3xRTEjAOwwmdBoYELgOUAqwCEwNPAxQDjgKfAtcDUQbzCLoKggvpC74M8w1HD7YQVxLtE4QUGhPQD6gL9QenBYEEWARiBLgEugQjBN0CHQFW//H9kPyl+mH4n/Wh88XyCfOh85vzG/La7rLp4OO53obaWNdj1E7R9c+70fHXBuS18nQAdgoID40Ptg39CTUIlglLD+gXAR9QI44jOCBwHPcYOxXbEDkLvwRk/Vr1iO1E5w3kiuR45y/qreoy6ArkBeCT3eLdB+F35xDwCvmtAK0FlgjyCv8NNRKbFhAaRhxJHS4dBRw0GoMY/BcvGEIYHxbvENAJbALq/F76tfoW/VEAQgP7BOsEUwNSAbD/7//oAdYEzQcoClgM1g69EW8UjRa9F6gXRRZpExMPHQpKBpIEbwWzB9MJ5QqPCvQIRgbWAjn/H/wU+jf5MvlK+QD50viF+En4E/iV90X2KfRJ8eTsgOiD4zXedtvj2DnWT9Qp093Urtsj53/0gwBFB2oJKQisBCcCJgFHA7EJHBN/HB4jKCW3IfMb6hVZEaQNyQnSBcQBaP25+Lfzse776gfq7+oK7EjrGOgq4yzeOdtf27jeUOXw7R33Pv+oBMkGbwZVBWAFDQgTDeESQhh8HDsfbyAJIDAedRtbGKcVrxLmDuwJmgREAC7+4v6uAQcFUAe2B7UFKwLe/ej5oPcB+Av71/88BdoJIA03D38QQRGLET8RYBAfD6UNEQy8CusJCwplC64NARDkEFYP9guEBxMDnv+z/W/9uP6AABMCmAL4AT0A4f07+2P4gfaC9I7zL/KK8CLu2Oo+597jVeBi3MXYENUb0nrRfdTV27znDfWo/nMElQWhA4EAwv0Y/aQAWghmEvwbhSKsJH4iMh3iFvcR+A36CqoIMwZKAwkAOvwb+K70yfH/73ruHexJ6Cbjv9152qzaCd4O5H3r4vIb+SX9HP4n/Xv7A/si/T4CtwkVEoQZpx5jIf4h0yBLHvsaxRc0FTUT/hCDDg0MHgogCSwJAgprCmQJjgZiAsj9zfl/95D3S/pb/nACnwVfB5IHmgYvBZ4EeQVXB6cJvQshDcoN2A1xDTUNVA2ZDcsNqw3sDKkL7gmhCA4IWAgdCZ4JOQnaB14FnAIOADn+Nf3I/JH87/sG+7H4jfW+8aztx+k25vbiMuC83ZHaC9e309zRZdNw2bvkU/Ee+2P/NP4a+jX2PvSd9wkAKwwZGf8iZSfDJQQfnRbuD4wNgA4EEQ4TPBMoEToMrgXq/nj5mPX58rnwp+0K6abjON/V3b7fMuSX6S7u7vB18bzvze1k7djvbfVi/V0GzQ6eFCEXmRc1F/8WbheKGC0a8RsNHbIcsxqnF2gUrBHnDxAPDg77CwEJ4QUQA9QAZP/q/lj/DgDd/z/+B/xI+gz6sPvu/hIDvwahCIMIQgfnBTsFyQWpB18KIQ1VD/4Pnw9jDv0M/gucC6ELgAvQCtAJ1Qj9B0wH2gYvBr0EVwL4/uH6Q/dv9HPy7PBx7x/toOlj5XXgdNu81g3Tw9ES1E3a/eOY7gr2sPe29JDw2u/H8nf5+wOlEE4cbyPgI4IeURYMEOsOAhLHFj8aSRvTGeAVpQ/7BwgA9Pln9rXzyvAY7YjpQefg5uHntOgZ6CfmLORA42HktOde7VH0Ofu7ANQDhwRGBIoF0QnDELYXmRzrHsceMR39GuAYchfhFiIXXBdbFsET9RDSDvkMbArNBo4C0P6M/Ab83PxO/oD/sf/O/sf8fPov+T36of3rAdcFYAgiCY4IngeJB80I2woGDdgOOxCZEFoQ6g+kD2QP1w6uDRkMXQrfCB8IUAesBZACtv4I+mr1JvH47Sfsv+qI6CXk9N2J14nSatBa0kzZXeQq77D0FvHx6a/l1OmL9JECVBDwGgsfGxwwFX8Pxw53FMsdCCX1Jd0gUBkVEucLGgekA2sBbv9u/KD32/H77EDq8ugW56PjlOBr4Mjjx+hM7QvwwfB08O7wo/MP+UkBIwujE4MXNxbEEt4QcxIEF3IcayCAIbcfABzJF1sUVRJ4EUoQcw2yCZwG0gS5A/YBL/+f+2P4qvbo9qb4SfuU/Vz+U/2N+xf75PxtAMwEpQjQCgYLqQqUCloLQA2yD4sRqxF7EOUO8w2pDaoMqgqYB/sDBQDv/AP68/Zi87ru0+mz5BLgjduP1y3UPdKg09/aouUc7HTppeJ1323livGd/1QL+BKAExsO1AhbCUYRJx0PJogm9R+6F9kRtA72DPUL6ApbCB0DGfzT9dfxVe9o7EvoxuQp5P/lpudz50HmAuV55aLohO4c9or9pwJRBFMDkwK0BWgMchOGGCMbXRuoGV8X2RXhFR0XMBgVF4MTBg/QC3YJ2gZJBLAChQFU/3L8+/k/+GD3KPeh97X4Gfrc+rL62/rP/FsAAQRmBtEHtwh4CesKAQ0QDxUQJBDxDkkN5AtWCt8H6ATEAU7/I/3F+r/2zfCn6X/ijt3e2tnZqNj51ujYMODE5u7kIt3V2c7gM+4Z+zYEHgncB48DcwEYBxwTIh+xIskcexR9EBgRrRJtEjERdQ4OCcYBpPsF+K/10PIh74js5+sV6zzoheR94hTkhuiK7V3xcvPR87LzLfWV+a8A0AcLDCwNGQ2+DRcQjhMWFukWPxalFHsTwRO/E+cRwg08CmgISwdsBbkCW//Q+xP5pPdj+AX6b/qu+Iv2aPa5+Pr7xv78ALICZQSYBhYJVwvrDJEN9AxjDJoMXQ2sDZsMXQpyB/4Duf8p+9T2YfML8brtienT47TeXtpm1wrWc9lS4hLo3OHY16XXQ+Pe8bb7PAAyALr7ufhO/uIKvBc4HKgW6w3nCjoOwhJ1FNcTAREVC4ADp/2U+rf5efnc91n1rvIn7njoQuWw5tLqvu2k7aTrf+qB66TvXfXs+pD+3/6I/dz+rgPSCdEOihEoEn8RrxCxEMkR2RO3FH0Sgg4NDBAL7QhDBqAEjwPaAOX8F/p++bv5rPlZ+aT6M/yp/Gj8DP5PAXEEiQVCBnYHEAmgCgQMRg2aDRAMAwnqBtEG9gYGBZ8Bsf0p+dj1qvLI7//rIuY0313a7dnk2eTZUt9r5fnh69YO1IXhIfFn+AX5h/cO9TL1svxxCdgTxxbGENIJHQqcEMAUpRPlEtoRoQ10B7cD5AIjArj/CPvY9S/x5Ozr6Yvq3+377gjqRuTv4crjZejg7aTxFvMY86rz5PUz+4EBQAZTCVsLlgwlDWQO/xAAFWMYtxfGEgYOyQy9DJwLYAoqCagFz/8R/Mj8Nv4z/Un6PPiF+LD5Yfkg+jr9tQDlAa0B9AFMA/ID9wRqB4EKJwtPCNAEngRjBhYGjgIM/3D8sPj+9ADyTfAO68jjpN2223Pb09iv2Q7hbebg2njPktMW5Gvx3PQl9YD0N/Go8sL8EAqKExoUcA1mCKoNgBVBGNkWAxYyFLIN/gXXA7cESQR3AXX8E/Zo7wTp8eQN5vLoHemC5GzfzN2c34/j3+hs7MHt3u6R8G/zRvkrAfkHvgsyDdkO/Q9HERcUeBgYG9IZmRUoEpER2BHZD9sMVApDB28COP6o/eH+zv3V+tv44Pif+df56Pkc+639Sf8+AC0BFAMzBY4Gkwc6CU0K2QjDBosG+AdCCKoF6gH1/vD7FPjh8wDygO6E6PPg1NvN2bTXdtQY2DPhW+bK2UnO9tHw4ifxDvVP9TX2T/WO9hP/uQzyFtIZnRS2DhcQYhaKGtUZORjfGHwUHgswAzcAx/+E/kL7lfWT7mDnZuH83jbhwuOG41nfPtts2jjddeIa6TXuBvFX8/v1B/ku/hYFkQtOEGETohXJFi4X5xdKGrocyBwUGtMVJxIJECIOsAvECRAI/wTF/zL77Pmy+vv5OPjP97X4c/k2+RL5+Prj/m8CRQSSBGEF4waHCK8JTQv2DEkNuwsJCqYJxQkUCOwD1f8n/Tf7wPb78RLtR+gT4nDcvdk22MrUONCd0mDdlOP93IXR/tEF4cvx6fnw+yP+CQCc/zEC4Qp5FxshmCIpHRsY7BceGqoZ1RaCFVUWthNvCtz+0faK81bzhvLI7q/piuM13OvW5NX/2R/fL+Je4TXgLOFy5DrpLO9j9Zv71wFuBvYIJwtqDp0SwRZIGkAdbx8oHxgchBiJFlUWlhY0FYMRXA28CT4FVABH/eb8MP2q+5L4jvb19r72b/WQ9er4c/5mAg0DugFWAioFFQnGDNUPLBIkFDoUrBJUEa4RYBIFEngQHw4ADJcJqAVNAH37sfgA93H0NfC+6eHi1twj2E/VWdO10anPVM7c0DXbruVJ6LTgAtws4obyzgHxCu4OfhI3FAoUpRSUGMIeLSVyKJYmySDcG+0XqBKRCzoGpgRLBb8CWPq57tXkDd8V3WDdHd6M3kzeCt1t2xrb4dyt4OTliusr8dX2LfxzAHsD6wWuCF0MnBGPF0AcwR1cHDIZ2hXfE0cUuxVbFgIVLhEiDFAHcQOaAJ/+iP30/Gz8ovsi+gb4cfaL9uv3BvqS/DYAvANcBcsEIQR/BVAJcA0pEVUTdxQJFRgVuBRLFDsUoxRWFdkU5RIHEOMM4Ql3BxgFsgMmAqEA9/0k+gn22fLu8HXvle3s6qvnBuUO4vrdBtqB1wzW99RZ1OHU2Nkt5evyLvob9ont9ur58iYCIg/PFqIaKR08HakaHxexFPATpBTHFl4YexbmEgwOogcp/9v1ne447FHuH/Hw8DDtlecj4kPeEt6734jiFueb7Czyu/aa+Z76WPq/+kb9eQGbBgEMoRAkEx4TfRAgDGsIxgfFCdcL5wu8CpcIhgYsBagDngHJ//X+Vv/z/4kB+wLjA4EEggQDBKYDCwRPBQIHzAgtCzgNYA4aDuwMqgv4CsQKdgrZCmUM2A6UEJMQCQ+lDLAKTQpyC0AN2Q5GD/gO2g7HDhcOgQyaClMJhgivB5QHtAd3B1gGSgRdAfX9L/us+Oz1pvM18s/vbeuz5dffnNqo17fWsNVx08nPfs3t0vfieff7BQoAlPMH73H20wMCEYYavh9OJTYq6yo4J8sh8hvzFbIQ9w2RDVsNRA1+DEYHFv3K8Cbmht/z3l/i9OQE5svmvOfo6HrqGOyT7TbucPBA9a/8UAVaDY0TXRVyE00Qng0ODPsL+QzpDSIOQQ2eCnoGTwLd/n/7SPfL8krwp/Cn8wT42vsI/vz+IQB/AUED4AW2CS4OpxL0FvAaNx0KHZ8bMhh5FB4SYBEdER8Qow6wDR4M6AnQBjUDOgAB//oATwPwBfAIJAzYDnsQhxHOEUQS2RILFGkVfhYlFzgXvxZjFV4TPxCLDM8IXgWMApgAX//g/Vj7G/gy9JXv1Opz5b7gTt3d2o3YA9Y600LQ1c6RzdLNtM5L04fjVP/jFrceoxBiBeUHERSdIfIobieJJ7Mt+zKHLzEm3xpDDyYDl/ZX7u/qHe3q8IXxr+x55E/eituJ22/dQ+Cy45zoU/Cz+moE/AtTEdQSQBHIDmoN9A1ZEdgVQRcpFOcOxQnfBKn++/aP7sLnb+SN5EvmFehA6obu8vFV8vbxePND+BAANwl5EfwWVxwNIrYlXyaDJZokeSMZId8c2BfTEx4Rig74CSsDz/wM+cj3pPXN847z3/VJ+kf/igPXBgQM0REEFzEaThyTHmshlySDJoUmcSTyIRMffhsUFwcS8gwuCYYF8wFc/gr7NfgZ9g/1pvTh8qjx0fBN733tyevn6UXoC+fl5BHj3uCX3xzfD95u3D7az9cE2RrnoQYIJOcoyBzAD7oPOxl+IdwhSRmiGFkdJCFFHLcW3A/2BI31r+Ve3C7bpuJr6FXq2emJ7OLwLfRu9Vn1G/aM9p767v9VCbQSDho/G9cWnhDnCooGqgLt/nf4//Gm7qTv3PCd8PLupuxa6xXrD+2p7031uf0LBqoLHBBQFakaLR7/HnMdHxo9F+MVfBRZEYkOmQ33DFEKXgUTAIH8r/q9+HT2Qfi//fACGgURBp8IQg3bEbsTfxPjFKIYaRzOHt0f2yBpIZUg8R2UGQwWRxTfEkAQuQyoCRYHGwWuAg3/svuE+VX42ffa92X58fpl+yf69vZQ8w3weOzx6RTnzeZO6N7m0OK53KfWXM/wyDnJy+AmCbssLzNQIw8atyE2LmEt8hzHEF0QpRc6F+kRTQ71BpjxXtvOzbDONNTb1wDZzd056ln56QN3CUMMCAwtCYQGYglfD20V7RXCEIEL4ggtCEMBqfSr5czandiN3Bvjouq38hn79QEBB0QLaQ/aEjcTFxF8EL0UdBuNHrIbOBWnDWYFmfyy9FvvTe0C78n0fPzfBNMKYw1YDKUKEQxXD88Q9RCFE1AZOR7THbsawRcoFgITgA8vDo0R1RV2GNQZqxuVHecbtxZUDpQHtgJAAI/9RPyN+0D8rPti+zf6e/lu91r1/fQS9yT5WPh08kjt0+hV5mbhU9k2z+DGPsJOwsjPTvsBLEZEXzcKJx4tfDcJNRodmwuUA0EFdwLfAHf8k/Ag2rDG5MBvxs3NV9ID2fnocP9OFJUi+ykkJ40c+BFZDowNRAu1As360/d//Db9FfU85/LahtWS127hw+7A/FkJtBOzHA8kLiamH50SPgbO/xP/S/87/T76M/l/+Bn2zvMH8+LzhfYM/owLTxmAIuIjHiLgIGAe1BasDGEGNAXoBc4GgAm0DswTcRZ/F2YaFx38HUsctRs+G3AYIBL1CZgCKfxQ9qrxy+/T7yvyRve5/cYBLwEm/5T90PqR9qfviuea33ba2Nhq12bSBcgRvkC+geJ+GVdH4UGFLmAxGEInQUQktgPr7w3mGeIY4lHjgNoUyF/AR8ps18HcuN0Y5978IRh+Lq07PztuLnwcAhLJBz74EuTM1nfXk+L76/HrwuXP4lzkzus89K787gPmDIgX0SLzKLsjhBFI/jDxKuwL5yrhGd/A5dnxhvtWApoHKwwhD54UsRwHH5QcBhhWFj8Vug9tBoYBJQKSArUBOgbmD/MY7x4vI9gmyyWoHtMULw0MBcz7wfOx8JHxxPKB84D1zvgN/Kz9gQHNBEIEKQFP/gn6YfMo6rHfjdZ90o/Ppsljwem6Fc1FAFQ8mkUpNUwvPz6RQS0qBwJ45wzZwdYI1cDV6cyYxGzJ0tpG59rqR+vg9LgLmyXWN7s8rDXBJf4ZVQ27+BPdjsiMwsHL7dyD6BXsGPCK+IIBJwcFB2kFOgdbDRMVCBv+FhcHGPZL67jkDd7h1ePTVt9w8p8CJg4WFyocoiFBKNgpiyAnFV0OVwwfCXkCwfwG/6MC0wOBBwkO8hOcGGQesiGnIA8bjxGTCAwAN/Uo65PoDeyx8tD5SQBpBvYKZAtDCg8J1ATM+270B/HQ7rnoU96S1NbP1Mz/xxLA4LwU22QVJEOaQaExvTWiQVY2MRM57RrWgs5UziTRJs9yydrM1d3W70X0lfbY+/YJBx7/L5k25THzJGUXAAsY+G7d6cagvbLEadTZ48ztZvb+AakMTBAjDToHNQSHBbsIjAsNCsv/8vIj7GvoMuIc227Zm+A28AgCuRGAHOsjGCqzL2gu+yHeEuYJLAV1/0j7Jfs9/08E1wddDJwQChQJFcQWThglGF0VJxFkC1AESvs681bvffBL9R/8QgNyCokR+BQJE7ANaQYM+zvwAeq/5vLh7Nun1wHXLtUqzVjDir/A1xQMljcdPg0uDzZlRZJAYh0u9HbZhs+PzQXOWc50ypbPE+E69az8c/zJ/eYIvRp5KhYwPix1JH0bJxIMA5fqNtCxwqzCp83g22rml+7G/DsNFxWeE1sN4wdFBc0EngMzAuz9+/X977PuaOwu5tbgluKq63v6cgmsFaIgpypSM2o38TH7IlgS/Qam/pj2tfCZ8Mv3WwJqC+QRrhcsG30aJxkjFwcU3w/yDMcKcQhNA7H8xPg4+Of5I/yC/3MDQwn1Dx0UlRJNDFIC5/R56YPhBtvK0yTOW8zAzLrJCMGQwkXlnRfuOEw3MjLoO9BKGkE+IeD6mOGB1a3PJs5IzFPJpMx13zXzRP7aAAYChgjBFawm5S+XL8coASJGGzcS3/u04JzL48Lww+LKR9ZX4cXuigCcEewY8hdbEc8LjwiuBWIBF/1Q+kH2k/JM8NXtr+ms5ibndOrT8pr+SQ1fGyQnnDAMN/o23i3qH60SYQbD+NTsrudC65z14wDnCQcSMho9ICgikSCxHCkXwRE1DXoJTgb8Aor+TfuR+qf7bPx2/aL/FAN+B1sLvAzwCrMGxP+m9a/q2eCM2LnPSseZwuS9Grppti7LLPtNLgJBJDvsOBBHGk9QP2Ib6vdj48TYjNOJzpnLPsgIzPfbXe3n+f/7mf4gAj0NQR/SLeQz1i7pKA8kvR47E3v8DOJyzY7ESsSZyevQ89f54o71+wp1GEsc6hjKE2UPDgt8Bh4AjPvc9jTzovL/8ozxz+u15grm0Opp8U76lARzD78aSCitNqs9dzrQL5Eh2BFzAbvzfen94tXkrO6G/AoKhhRPHbwj7idQKGckCB5bF/kRQg0KCrQGyAC/+1f5mPk2+Uz5S/rt+z//uATWCScLfglPBpEBl/t59NDq1N7o06fL0cKluZGx4K4NvWnpNR6jPfg/8zq2R7VUo1NkPMoUIvfr40HbH9YJ0RDQ7sutzufaeevW93H7LP0A/zAEGRD8H2QtDjNaMtgu9ikOJMIYxARa6+/VzspPxs7Hg82J1E7douma/fwOehj6GzEabBePEzkQBQsjBEf+ufl09tX03fQ29B/wA+uG6V3sIfGQ9QX7HQJTDYccwigHMCQzbDOCLsci9BQ8CC/8aPCZ51vm8O1D+i4GgQ4IFZ8c3SQQKb8ncSOgHTMXfxGzDSILwAdBA2f+4/kH9132NPft+Fb51fp//jUC2QYxCu0JQAXD/Qr2de6Q5dLbrNO0zNvE2bqUrySr+rQb2RQIgy1hPTE9Yj+wS0NVPFFjOCgSh/b25I7cete60rfPgMvFyY/RFeFb8Zz6Wftl/ZsA9gj9FesisivtLvMuHS6PKxYnlB9cDyT5HOMh1LvLgsmNzEDSTNio3+nrrf6qD9wYqRvJGroYNha7EnYNzAYxAX79H/mk9NryePNP8+TwEu527Y/vAPN+9nz7HAK2DOQZliWfLZEyCjUMM4IpcBlDCwz/E/QO69PlS+bg7AD4igUREKkX+B7MJR4q6CoNKZolVCA4GtoUrQ+5CaYDev6g+Zj0fvAU797wgfQF+qL/XwOlBa8H5wn1CjUHjgBb+czvxuNG2AzQScrvwsO36qrkpLGuMdL4AU0rAUGFQbQ9wkfgUXZU1Ua3KtkKvPGi4obdg9v+2YrW/c61ygrQ3d0l7Y71oPXn9qr6PwNXEqwkRTPcOrg5bTbuMkIubifXGkoGDu642S3PqcuwzT/TP9nS3ZLikeww/noOGRiZGxkbTxmWGLAZoxpwFqAPTQg/ACL4y/Gd7vHtv+qd5n7k8+Vo69zzjP35B9sRixuQJT8u3TSFOC83pC4RIeERkARK+TLwwekU5pDkz+gW8nn9sgfnDwUX8R0HJDkpUS15Lk0tFypFJQkf2Ra9DcYEtPoH8FrnsuJ84gnm5Otz8636RwEMCDQOvhFNEVoMtgOK+CzsD+Ej2KTQY8nRwXm5l60Spl+uvsxk+sEj5TihNO8xYzoLSLZPZEjgMB0UL/8m8v/srets6jXlLdmuywfKZ9LS3UDlHeed5rroSfE1AxYbji+EPMdA4z5yO9E47DMNKGYTWvuA5WzV28yUzPTSSNqS3XffzuTh75v+0wtYE24URRNdFGMYSh1zIFsg8BzrFa0LRwLn+jP09exJ5XDeadoV3NPjb/G2AlsVSSZPMos42jpcO903Ri4AIDMQugE29rnuh+u86hDrGO1t8Vj3vP1+BOULdRP/Gokh/SYjK/gtLi9jLc0moRwZEXAFv/mD7mPlF+A93/Hieend74H1bfsSAXoEngRwAuv+afor8g3oFuE421jUK8uAv7OzDq3QtXrTpvrdGugorivyLbkzIj57P4AxiB2CCP/5cfFW7qPv4e9i6I7c0NOt1lHeWeSS5nrl9OTN6SP28ApiIPYvPzaZNiI28jX6M9Mrhxr+Aw3v7N7V2M3Zrt3I303fb+CL5krwjfrsAkAH0gn+DB4SiBhRHrgi8yMgIF0Ynw9qCG0BbfiG7+ToC+al6kz2AwTQD4AZXSHtJi4p1SjuKJ0k2BvSEboJ6wQKAu/+y/pA9qr04PYT+k/9UwLLCIwPjBadHhAmFiq1KZUlwR6VFuQODwhkAGz4jvFY7hHuCfD78jL0ivNA88/z3PRR9VL1DPcg9tvyJ/CD7ATneN4s1C7InLvst4TDNtzH+3UT8SISKiQuZzYbM0UpWRrrCWv88/ES8D/yQ/ET7I/l2OE24vbjq+Uu5Rrl5OiC8Lf9WA4PH10phyxpLnEuYCraIMUTEwUE94/txemv6Ujqy+k46cDp1uy08nb3ZPqT/KD/XgSXCdURNxnOG7cb4RkLFyoUfRHsD/wLsgdmBcgFgwhhC2gNnA7XDiwPHhDBEGQQUw7TCgQIZAfjB2AHFAZEBSsFxQUPCFcLVA1RDqEP/BGHE+sTShMREc8OLwvBBnED8f9W/ZH5tPWz86Hz4/MX8sDvPu6z8Jfwq++U8F7xiPAt7QrpoOE71/3KCcTQxaDOi9x97csDZBnZImMkriOiIjQZWAtIAvj7G/io81rxAPJH8X3uyeij5xzoiObF59juefmDAu4LdxaZHdAgUyCNHE0Vywv2AV37a/lo+Hz2PPVR9lj2IPUf9qf4pvqB+5j+ZQRSC2kRZhSBFbAVghWGFBcU5xN5EswQeA//D94Pgw/dDqMMUQzPDYQPNRBCEEoPhAyQCcUGoAOEAIz+cv6KAcoG2wsED/oQAxIlEYgQtA4IDGMJAwchBrAEaANHAYP9Ovo8+PH37/fg9oT1FvZW9qT0w/Rp+S776/cC96j1r/mI/Pb3wO3k5eLjoeJk4cnfpOBS41brhfbI/tL+IvkK+z//1QCJAccEPwVqAjYDsQQAAWv4NfNG8QXzdvUB+J37Xv7/AOoECggXBn8DzwJVA1IDKwT/BfUEKAYbBwgIsAcGBO3+K/zT/OH+egH/BLEJEQy6Dw8TxxTeEn8Ppg2UDBYMmQr8CFMHSghsC+oNKQ2QCygMeQ2mDJsKuwg3By4IvApjDasN8wtyCboH9AXEArD/D/5m/pkBZQf7CWcJBwm5CNcHUgZJBO8Aev9e/5sARQJcAUz/Fv1e+9H5b/iq9Z3vR+1J7zDve+066KviWt4P4H/jquQt5OzjS+hS7NDuk/EH9WH2R/ha/Bf+IP0T+4D86f3g/dH7evmT90L1ifPu8p/yBfR8+D/+AwNABqcH2Ah8CacJTAknBisCiP90/zsAjgHjAkQD1wNmBSQHDAl/CmgLUwufC5YL6AoECeQHRwj6CXgKoAoWCksLfg0NEM4RORL+EcEROxHhEOcQag/WC6EHGQVuBBYEKAOwA68EXAZGClgO0Q7CDAULQgnuCOMHrwU1BJQF9gjYCeoFuQKWAm8EgQS8AhH/s/xN+936iPry9fbvxOtj7Mfsyuve6izrzeoY6wHrleq67NjwsPHU8vvzPvQe9Dj1dfao9+n28PW+8xHxi/Cu8I/wWfMj92j4wvpc/lIAzf8B/0P/LwC+/4D/B//V/mb/uACGAI7/2vwr/Mz+CgKUA08EMwTZBAgGlAcwCA8IrwdECDgJfQkUCSQIDAiHCqsOHxHZEbgT+RPMECYNFQzoCwwKCQlYCicLGQrzCW0KSworC2IO+Q7MDM0LlAzQDAEMpwpsCasI4QeBB6IGeQX6BpcILgd9BAsEMwQsBAwDDAE7/eT4CPdG99j4kfmj92j1mPaF+ib+TwF7Ap8BmgG8Aaf/lfv891n0cfGK8kb0RfIb8Dnx7vJ48yf1dPaN+CL87fy2+0v5k/bL8y3ykPAr7qfsX+3N7x/x5vGA85fz4PNX9W/2A/Yi9Wz1FvdJ9wz3D/gr+AD5Hfy2/yQBuQCmAxIGKAcUCAIL6ApYCKMGSAWqAEf+m/7TAa0F4QdgCP0IfArwDWsSzRR4EsAPfg9oDvML0QnwBsEFnQc7ChgLqwszDD0MfQwTDDkLqgvDCksJ7AcXBtEEPwQuA9sA/v01/oQAVwJmAhAClAJ0BBEH6whbCVUHuwNEA7QDcwK4/xH99voa/Cv/0P+D/nj+QgAiAnMCtv/w/O79I/2u+gz8SPxT+X/3SfaZ8+TwSfDK8cDzAfM29Fv5Ifzt+Yf3+vYg9XzzN/Ka8XvxuPBk82/2IPfT+Nj5+flb+8H94/6//8T/Wf5E/7YBQwGs/MT59fd2+Ir5rvpo+vH8DQDmAmgFYgfUB3oHjwZrBgQGtQRAA00DEwLK/z0BWAYeBgUFoAQLCC8LhAs3C+oKFQuXCngJYQgoBn8AkAAyBawJQQYsA+UDVQYSB04GSgdvCpEMXwxgCyYL3QqLCQsGawb9CfIHsAV/A+gA8v9oATIDigR8BA4FagZmByUGpAWkArYAf//z/Zn9kPzg+of6f/V09J32PvVD9ZL4q/hs98b6Pvpj+dT5W/kh9//2APhO9/zwmvKP9TL1mPND97D5bfwa+nH6VwANAl779/0HAE37+fd4+kz6r/XW8Vrz1vaY9g347Pw/+yb4APvv/0P/Hf5vAeIC6v4n/UD8gwGK/7P6sfh8ASD/MPuy/fX/xP+OAJsFPQfCCGwFdAUFBQIDl/91ARICvgAg/2z9UQEFAosCEAV6A5UC6ARcBEUIagrDB7EHAQl5BrgIGwctBJACTAQbBQgDsP7QATAEB//Y/7IGtAQ6BXYGcAi5B/EFwAI9CkIGq/pv/AwDr/+9+nH2Of/AAEb17vZaAbADWPv89nUB4QX/+qv0wP88AJz3mfdX91n6gv1J9pr2AQB8/WT3AvsCAk0AQvlq+yD/IP7r/LL3W/iK/Iv2Xe4/9xX4I/Hw+G31sfUO/Er2+fsYAO75+PuS//387/ze/Rb7uvis+9v69Pao/IX8dPVn/asCQvXR/VUL5P3a+EkIvQNHAn0C2QGVA0AB7/vy/rwFbwEz97z6RQj7AlD3Zv0qDNIIZQGw/t0CVArZAt//3QWQBhgCzgE8Auv+fAHMB80Cmf20DeT95f4HBywFAP9VAgwH4gRWBGEK8AqRAhsEaQYcBBr+qQBTAl79Ef7L/tb/W/+1/in/9/tHAL0CePw2BJYEXP6YAkv+2fg+/IAASv9N/tX9XgCn+1cCwPn/+l3/m/w6/BsBXAAL/J4ANfuh9sMA8f1u+Nj6Rf7K+hX2vfYP+Df1Q/jB+f723/qQ+Ub8s/tU+bP73/+J/NH1Hvzy/yn3ffqp9GfzXfg1+X72Z/ko+pH9XAG2+ZH8pwCb/YT7sADlAsH6MQdV/7n54P28/KH8Fvyn+xz+M/6m+HAGKQHL8qwCDgN8/SEDigYB/rIA/gp2/KQA3gSl/lL81QF4AYsArwh4/E77igpHBdz8qAAKB5IGUfnfBXYJGQQLAi4HSATH+7cHMQ3r9tAAOQng/Rf6hQJEA3/5/gd/BwL57QDNAVT+ef9VAp3/5QHZ/kQD3wBE/QsA+AHN+jj3DAGg/Cr8oPvp/e3/s//1/xAAVPuP/8H+bP8S/WT6qP9rCHjzifjFAX/4Yvdy+834KvWP+77/r/S/8lv6OgKh/hb07/1qC7zz+fsw/Wz0CPRSAEMA4OZg+QT/8PQU8Gb3Ev3x9Fr74v6B+DL5Uv47/bL3JPtEBRDzR/2a/qn6xvrr/UP6re6G/ncCyPby9wgA9v509k3+ewLI8Pf9SQYT/4P4of6Z/kT7ZPnS/fIAof0j/EQAIfkf+uIASf0X/HsD5wX1+7v9LRSHAw7z8gSlB9z8XwMZCnn5q/7kDmQGFPsq/XUEGwD99ez7nQc+/in8/gRlBVj5VAfaBMnzfQP1Bnv6wfoRDaABLPLZ+5MC4f0NAPYI9wDy9W380/3n+bP7J/6x/aP+LgAq+xD/2f/y/OT/oQJ9/M/7PAO7/Mn5b/u9/rQA1f3u9YL5PgIM/mf76fzU/Dz7f/zQ+SD/F/tx/tb+9vvW+AH55/xA8kL6BvqB9Vn5nf6D+kzzPv6wAeT0YffI/7j7B/jR/0sAE/OGA9L+BvO1+DsAYv3M9zb6if25/lX5y/kcAlD+Q/Vi+54GO/0W98b6pv57/e78B/0C+un4+gRn+XLxmgJ8/9b7JQFlA8X+GAD+BQX53vlBAqkEjv3o/CIHdgEz/I8HffigATcDAQMDAWIAEgXN+3j9hgaW/dcDJwQ9BFMCdv+cAe79SwVa/MD9S/z/AEH9zfpN/U0CFBOACwgJivzJ/Ir6/vWlA6kLRgHBBAoTLvoE9cv+HgSb/S4CygKy/hgFNQrO85vvQxbs/oT3KP76/2ED+ANc/cf4m/9sB9nvJP4sCRH4Cv1TA2n8N/uxAVv8DfJC/qMCI/FP/3ACQfoQ+cIAZ/898nn0pAQB//X0dvgfAML3evvh+Rn5WwJfBfwCoPy3+af9sPrP9l/6fQEX/Pf8C/zn/z33n/mI+1T7zvq6+fH8pAF7/bb4pQMr/igA1PwTAfUA5v9C/6z91/uF/GYBbgKI/Ev/PwkTAzn22gUTB3P4SwS2BaH40gW6B5v7+/8yBdUCTADi/L/8sQGhAVP7gfnOBmIIKvmEBLD8CwSoA235fAEUBXUDLAMvBHMBSQIXAhIBjAH1/2YBSQFc/CH+MAemAzH7Qgd9AE0DLf7d/+z9wQENB2T2FAADB8H2CPTQA6f/AfcD/2z/uPs3A/T8jfpDBpEAefW//ZIC4Pek+qEDfPrp+lr++/i/9xv+5/gB/fUAyvyI/OIDAfsY/EX7dv9Q+DcDivrP+3wAUPyS/IP1rfsJ/Mz5KwGU/Mz4ZAcW+9f5WQRd+Hb7PQE0/u33QQae9TD5R/9A+2X52f27/N37EAEaAhb7rP2HBW/9GvqACp35RvxJBFMBu/7qAAz+nf/N/gX97PvXB0X94/x7BQn/Vf0PBF//Qf1IA6UBGPn5A8EFCf8pAZMFVP61AcUBvP89A5kBGwbbBb0B3Afq+xP8nAUCAcf4SwXSBhD6DACE/tn+m/vxAXL4dQbcA6H3DAVBAR/5YgDQ/pr/pgE3/NwAwQNK+yQA7f4w+er/Kf8I/mj64AVXBx33Mggu+CIDNf+Z/AID6/6F/C0CEvu5+tb9SvfFBWv9ZfiBBib7x/Rw/uwFOfGEBP74MP6eAxr6DgBQABL/I/wiAz/4aP+/AIMDAf1NApkASwLl9/T/3v/8/qoBJP3wA7QERPlVA8gCpP+D+7QFZvqGA4cGBvsGBVcDj/5dBDgD9f1TAj0Jl/l2Aa4EFwMo/oUCkAWXAR0CHQjv/MII3fx6/bUEdv4KAroBrAByAnwFw/uQ/goJVQBk+SoG+v9jBIABNAF1AUz9tAPyAYf/FQJtAgMFFvxM/aQBtP/oACsBVv5u/iH8g/z8Acz0QgQsAEH9gwCVAjH7i/k/Cr71dgMgAk78rgVx+9v7Sv/4+27+SAcj+nT6lgi5+a8Buv7G/V8FG/g+AmIBd/rOAB0Dgf3v/DIAHv0l+9wCVfsUBSD7vP87Ac33KAZZAEX37wuL/gv/1APN/3cEwAXo+8cEmwXC97AJGgZq+xAGUP+oA4P/ff65BDII+/9OA3UAHAZy/1kDdAhs+wgLOwI2/5YGgvnfBV0EgvqBBsgD2v8iB/kAEAL/CTX+egawAob+VQPeAlgCTAFwBqUAd/97BO/9jQGzAnUAQQXvAh/+pQQ1ArMA9wEXAz0DIgfm/BkAVQd//ez/qwLG/LcGg/1jAs8AoQEu/ZUD5v1eA/gIf/3MAoIADQCzAREB5AGIBogC7fh7B8YAM/sLA2H+GgOGBGX7jAMcBSf8TAH/A9X5KAweAwABXAcZACkC4AWE/icJXgXE/3YKQwIJAAkDBgf6B37+xgHWCGoDYwKvA9UFa/3EDaMBFwNFBdoDeAYYBEME3QTLBWQC3ghHBEwEjQfmCAMDy//qBvwEeANwBIgFIQOBA8sHegT0AjwFtAYhBOED+ATaBHAEzQJDB2AARgNvBxYCyQX0BYoCdgNOAmkBwQT/AMoJngOXA+UEHwBzBIQI8f7PAtsIlwKxBa4C5QIlA07/2QPHBQoAIv+sCaoBAf9ZCNr9NwJ3BG0CFQb5/kUD4Qvg9hr/IAvCAH8DEQi/BrcC2QN2CIADhf1lBQALYAKuAsUG8QSYAYYBzAy/AmEDLgwtBUoE3gltBuP/FweiBk4BHAL6CxQIHwEiCcsF8gUGA74GfgpvBYsFoAtQCgkD/wYxB3gFkwjvBvsCmQUkDEIIWwRfBmUIzwSnBUoG0AjXBJkFQwoJBI8H8QaoAZMGCwsOAyIFvAeOBhgCIQH+BngHfwRJA1oNswESAqAIWgd9AygHwwjrA+wDgQnWBY8CRAOcCNkGiQFtBb4GTQPoADsEVQQhBWUEWQW0BXgCxwNaBbwD5wSmBZgG+wP+BNwE3AMKBOsF8gRJApwGageWABIFlwXtA1QCYAX+B3QD7QNFBQkGjQGMAVQFewDH/h4CJQOKAN/+3f8xAeL+U/zV/YL/6/6H/Z/9Vf4+/X/8Efqf+kD8Xfqu/SL6zvqS/Jn8ePwN/Zf+OP98/xz/8f4rBAkDGAJSBucE1gXaBuYHIwqkCa4KawwsDhwMlg0CEBIPKRBTD/APXhBxDnwOTg8sDu8Nkg+YDpAMFQ+8C8AMFA02DA8LyQsoCPYHngoPCp8FWAczBwkE2wXeAwAE1QRFBHcAhgCb/v74I/tk/MH3cvuL9vHzjPVP8jzvuPBa7nDtA+uW5R/j7+A92xnbQ+Ck40PmQOuX7ATsu+uZ7EDwr/HO9u79vgawCcAKsAuYC0ILZArmC5UO5xDtEmUU2BSzEfEMGwnXBQUCmv8V//L+RP8yAEv/If0S+z/4Zfbj9wz6Wf22AjkJ0Av1DmYTiA/nEWsU4xUTGtYekiBiIwEk2yCKHoUbYRjyFsMXvxZVFrgVcxJ3DxQLCQUDAJgBFP7H/Jb9IP1i/HL2G/WE8j3wgu2Z7CjxHPH87Ibun+63667l7eZv50njY97a3i/fnN1K1Sjed/CT6ijr5+jD7LbzmfJI7sHzBv5UAY8JHQ2ICo0JHwiyBTIHLAnzBhEJNA3DDlUPoQlsAan91vxn+gP5GPie9wv5evrF+bD2xPKP7xjvwPF98zT19vaR+dv8If9e/yn/Mv1j/GUAmQUxDAoO9RDrE8EVPBcBFisVlhMwFDYZAR62HtYcQRv3GQMX9xKkDuwI1geUCEMIAQjmB5cDhv/3+y36JfnA9wz2UvVm9yz7oPux+P32sfbW9vn2lfaS9a/zZ/RH8fbwru686fXjFOFQ3x3bldXP0f7U5eB96TfnJt+P3qbjgOnJ50znqOy69tIA9wXhB2EJiwhUBWIFOwkkD84PoA7UD4UUnxcUFCsM8gSOATsAiv5u/S/8ofvf+s/4tfcY9E7vgunG5i/o5usz78XwxPI99Tf3QPjV93f21Pav+JP7EwBPBQsJYgruCc8J0AtpDNIMvQwYDQoRgRZDGaIYOhe6FqEUTRHbD1cNbQ03DVcM4gv0C4ILxQjxAnb/fv2k/ksAYwD5/wgAkgAfASYAQP3l+Zr5s/m9+v38Bf6a/Uj9svtq+Jj1afLS7ynqIOfd5TvkyuEb3UzW+tKJyAPGtNL13QPiet/E2TjZW95q5z3kb+J76eH1agIbC84OmBDgDjQLzQjqDdgVzxfLFXIXWBw6IXUibhtUEKEI5QTqAvYBWQLdAL78t/eJ9qn18fEo63fjLt4G3+/j0ul/7R3vC+9l7yDxLvLn8nL0bvQT9of79QIwCXQMCw3zCnoIjwhOC7MMdQxqDKQNRxDUE/QU3xIjEbsQrA+YDfANUw9FDwYOggtQCf4IUwlwBxEEkQB+/88A9gLEA44CmgCp/5r/7wA5Ag8CTgGnARgDfQNcAwcE+APxAcgAVgCc/+z+D/3D+Cf1hvM/8THtKOgL45Xc8tQN0EDKVsQOxXnQ994I3rjfTtWq1eTY5NqV2+PdcOcP+UgCzgnQDSIPwg8hDmUFJglvEW8aShwhHlkiyiROJFMfWRKSCmUGBwQVAiEBdQMdBDr/PPkE8zHtVOcP4cvbNtsE4dPkSedz6DzpuOlJ6PbmNuZd6L3uLvQx+EX93QMrC8gMEwtBCk0J7AlxDPgNMBGJFY0Y8xgwGCkW7xL4D2YO+g+YEE8RlxLUE4sTvBCBDNsIegbvBDcDqAL6A6UGsQkmCQIGgwOvAtsBiQAeADACzgWyBwIKcgsrCwQKTgh8BYgCHQKFAs4BnQHZAWEBAf9E+qT0re8f6ovlEuF93LXY7NWH0SnKE8O8wNzLidSB1XzRbcqbzvDUFNaK133a1OOk8Pn4j/tEAZwCcghkA5AC9QjVEpAaxxo/GSQfNSMDIgIctRV7Eh0Reg57DUkMwg0yCtECBf1m+uz3r/KM7CjnoumV6jrrxuqn6ZrovOYW4w3j4eM/6GjqPezt7xP1OPpA/eL7kf2S/KD9QQCjA+sHDQtoDfkQ3RIUFcUW1BWTFU0VZhbxF7sZ0xtxGzYYMhbjFFIUYBEWDfIJ3AnMC2MMOAohCM4GGgVqA6YBqAFhAooCIQIrAvQDCQZPBV4CzQCV/6H/Y/+f/sv+RP8J/oP9sv2E+yj4NfTM8HHuPOyx6UfmF+Iq3nLa+9Ug0FDR2dd73d3bTtfr1jrZENr/2BLZ096I5+Pt6+/I9Aj6m/xN+7369P6XBdEJtwufD+gVohmIGOkV5BSoFZsTARGcENwS5hMJEhoPqwzUCUwE2P1w+hT5zfdJ9ObyqPJc8c7th+km6Ebob+fp5Zblz+ce6njrsuwC7uHvue8O8O3yefY/+mT8b/+cAm4GbArlDXkRBRQDFfQWBxkPG5MasBn6Gnccphv8GJsWABVyEY8NUApACkwKrQg+BzgHTgfwBWwDRwG7AG8BoAE/AewAXgACAB3/dv5F/kL+QP44/rv+cP67/lf+B/56/sb9Av13/KX7Lvqu+Fn3i/aD9bvz0/GW73ntYe377/rytfKr78ztTO6d74TusO1n73jylfJZ8ZPxifLJ8rPxavKj9IH1YPWJ9Uj3wPg/+P/4Ovp5+kP6OfnI+RH6Pfo3+jr7pfsG+7n6zvqJ+zn73vvM+438tf0F/VH8pvxi/ZH+NP/f/zcA2QHsAhgDIwO8A6gE1QVhB3kIDgr3CiQLRgwYDZENwg1dDlwPeRDgEFUQ9Q+4D60Ojg2ZDDUMAAyIC7oK+gm5CCgHvgXOBOUDXQPwAqUCvgJjAtoBNwH2ANMANAFIAQcBIQFFAXQBwwCeALP/Hv/Y/r3+sP5J/mb9Rvwj+3r5T/h59/z2LPY99X30e/P28RPx3fC78OfvW+/I7iHuz+2B7TPtPu0r7Y3tVe7A7mDvF/Dk8EvxJfJD8zf0BfVL9t73fPnJ+h78Z/3C/j0AUAGFAs4DcgUABy0ILQkBCnkK+ApkCyMLbwusC+0L/wu6C0ULgwrlCRsJxwgTCGMHXgddB6sGugXMBIIDfwKpAX0BMgHiAJsAwAChAKAAwQB2ASoCUwMXBLUESwZTB0AI8ggUCtIKcQvuC4gM3wzFDJQMiwz4CwQL0go3Cq4JDwm9CJYHFgbiBMwDbQKhAfj/O//Y/YX8XfsE+nz4Zveb9lT1K/SO8nvxrPCJ74juGO497Vzs1uto6zLr8Opw64/sFe2F7e7uHfDz8Dzy4vOC9Sz3L/kS+0T9TP6o//oA7wG/ArkDGQULBugG3AeWCAsJ+Qg9CVUJMwnuCM8IXwh4B1UH7wY7BnIFdgRRA30CHwKnATMBCAGXAG8AXgB2AH8A3QAtARMCtAKVA7QEbgVMBn4HZgj7CEYK6ArGC6AMaw0ADnwOdg6+Du4O1A66DgcPNg9eD2gPJQ9/Ds0Nig37DEwMwAv+CjMKWQkVCE4GHwRuApQAdv4y/Hj6Fvk19yD11/KQ8IbuAO3762jr+urS6qTqmOpg6lnqUOu47H/uTPAX8iv0sfXv9ln41/lc+4D9fP/jAFYCRAO7AwYETgS0BCgFpgULBgsGnAURBaEE5wP7AmQCKwL8AXkB5wApAJv/xP7n/mz/vv8fAHgA2QANAV8B1AGiAsMD/QTYBbwGqgfdCLYJdAq1C/4M4g17DiQP8A+gEBURqREWErkSAhNiFNkXqBjoE0USixJPEWMP8A+jEPMN4Qo1Cu4Ifwd2B34H+ATuAZQAO/+Y/M/6o/kw+H/2S/Rm8i/xve+67iLuwO0d7TjsTeys7ZXuae9o8IHviO5R82H3S/mr+yH9Ef26/dEAhQR1BqoIVgrUCdgItgnyCkELBQxMDZIMXgp/CR0JIAdKBYIFEAVxAyoBZP8w/b36rPk9+rr6UPlj+Mf3CPcH9nn2O/hv+tH7K/22/hsAcQFbA20GvwlODLwOZRGwEtESlxNAFUoWAxfYF/0X9Ra0FRoVEBVtFMsTohQtE5YRiRBJDvMNtg63DIgLGgx1CWoIxgcKBycGNwXDBW4E5AHaAGcAv/6k/Kf87von98f0kfI57xDufe5J7oXs5un75t3lI+iL6onrauvd7EPuJO/F8HT0GPhC+7/+jgKSBBcFowZJCqcNFxDtESATyxJcEW0QoRB8EL0P0A7gDfIKzQZXAwQB2v6i/Lz6AflV9gXz6+9Y7s/tke0q7rDugO5J7sjumPAC86f1Tvg8+33+/QFoBqILCxDBElEVxRguHMYeAyFXI8AkXSRoI5UiZSEsH6sd9xyaG2UYJBUJExYRow7HDKcLxwrYCP4FawRGBBYE5AIEAmQCMAIcAf8A2gEkAQH/3f5N/yT82/jZ9uvzDfFx78zsTugu5Cjl7eho5/fhHN8B4lnnQ+hH54zqxe7U7wXwxvN3+4z+AP4KAtIIBAsaCQALcRHsFOoSGBKSFDgVoBGzDp4QZhKQDtwJewgeB5YCUf4b/a78p/kx9VPyJPEb7yDsbepO6zPr3umw6eDqbuv96/jtVvE99Kb1Q/hy/wIHfwomCyoNqhHCFwQc0B8JIXYhuCGDIlcjciO9IQYgJiARHx8bNheFFlcXCRb5EjgQFQ6xC4MJVQgACBwHKwSOAngCSQHb/gT+i/75/nn99PqV+Yz5rvfY8zHw5O0n7M7p4eZJ487ej94Z4ofjN+Hm3brcF+A9457l/Okw78LxVPC07/j0kf1VASwD7AeFDLwNjQvQDEMT2BgoGV0Y9xhyGBMWHBM+E7YVTBV5EJ4MagmlBoQDRgAc/lr9Efq/9Nrw9e7d7RbtwetF61Xq8OeG5u/mbuh+6gvsMu0W7zzxj/PR9xL+KgR7B9QINwpkDlIUuRngHJoemB58HpIeyR9fIDYgER+THUYcxRn2FnQUeBMCE7MRYA9qDBIKVgh2BuMEaQQZBHACGQCK/vT9mf0f/dj8a/xt+xT6HPnA+A/4PPaj8/LwW+4f7HHp3ean5FfilOPd5G/lH+Vs4b7dyd2r4mTp9u7K71HuSe267nzyjfhN/jQCuwSjBcAFNgd/CtIOZhPxFZcW5xX5FW8UIxUdFvAXIBgoFmESgg9qDVkLvwl6CLYGKQReAEL7dvdk9d70afQA9Pvwv+2V6kLomOdN6B3ptunD6Q7pQOho6GPqV+5q9Z77r/9T/az7Hf5GBuwODBXiFi4WbxUcFswYyhvmHgchKyG2HtsaWRkjGZ8ZhhndGAUXixNeD/UL9ApGC8kKIgmVBcoBIP/U/cL8jfti+qr5SvnY92b1KvLx8dPyTPOC8lPwsu396ofo/Oah5uLm0+Xn4vPhdeGp44nldOR+4dbf8OGP5wvt6O5S7ZDs3u3L8OH0//hQ/Ov+4QB4AcABlQNuByMMtQ8tEdwQLxBJEA4RKBKoFMQV9xUHFKIRQhB2ENcQ4g8+DvcLYgqoCJ4GpQM3AZf/Yf5M/cb77fhG9oL0P/Px8RnxYfBn71DuNe2u66rrU+xG7V7vI/RB+fn6UPhw9Pb16f10CEsOQg/lDNEKIgw/EHoVDhiiGkccvBupGIcVPRUXGEwcHx3BGvQWlxJUD2sOfw+5EHoQVQ1NCKIDTgEFAcsBDALo//T7dvj29nv1G/RW82fzhfMR8nnvmut76SLoW+jC6AvoX+Z149HgtN5j4NXhluTc5friE+AE3Lzg7+Xu68PtdOwx63/rE+/38Y31a/gW/G7/vwDk/+j+EAGqBtUL3Q7hDnQN9Az+DSYPOxGpEm0TehNeEk8Qsg7dDjMQSRBKD6MNmQvECXEIJgbmBC4EzgPBAu8AWP5c+9f5rvmb+e/4nvf39Y70p/O38lfxEvFf8TLzz/YM+ur5MvYL9Lj2PP0pBBgIJQgrBhsFuQY8C90PPBJXE1QUqhTqEoYRzhGNFOEXtxmSGOwUUBFxDrUO1hBLEnARRg7OCUkF2wIvA+UDtAPdAUD+6Pm99kH1H/Vg9ef1HPXS8pfvAuwN6l3qjOtL7JTrSuk85nTjQuGu4dfjm+Wf5wTnnONk4Kzd8+Gb57Ttpe417G/psehu7Kbw6/RF91r6U/wu/OL6XvpL/dYDXAmVCx8KvQcXB7cI7AvFDjoQnBAfECwO7AsbC+oL9w4BEGMPKgwQCWcH6QbxBi4H1waTBqIE/gFJ/8P9Dv4W/2T/6v1E+1z5dvht+I/4f/jN+Hn5kPr2+hL7APrX+er7uP8VBFUGlgY0BZEFcQfACncO/xChEe8Q/BAjEdARPBMDFW0WrRY8FYQSUxAuECIRExKoETIPZgvbB7AFAQVABToE4wE8/zT8LPnu9gL2RvYl9iH1bfJc73Dtx+zM7CvtQO2H64/pTOi/5ZblWudv6HfpQumL5rHkpeIw5Y7od+1y7/jtfeva6hntTPGk9aH3RfmI+p76uvr3+5b/PQQcCL0JagceBh4GkgkvDfEOuQ7dDckMkwu7CuoKbwxwDTENmAozBxoGwAU2BocG1AUeBLIBgP9c/iz+Y/9y/5v+ufxo+lL5fPlw+pT76vvx+wv8F/yG/Xz9+/69AE0DcQWVBjYHHwgACq0M1A5JEOoQQBE5EkETUBRVFTEWxBaNFpsVdxSsE2sTChMdEp8QDQ5oCywJrAcRBicEpQGd/u/7vfnR9xz2bvTW8lHxde9o7cPrzOrY6nfpjejJ5y7n5OUC5nvlYOUH59rnEOfi5d/k8Obz6vjt+O2h7M7sxu7M8hj1IPYT+Xn7xvxg/ej9jwAWBX4I1AjbB98HqwmyDFQOHg4fDr0N3wwFDLYLQwwpDR8M2ggwBuIE+AM+BB4DdgFx/+D8+voG+kD6m/rB+aD3pfUr9Z31U/bO9sD2KPfj95T4s/np+hL9c/+mAXEDyQRiB4YJkAzjDiERxRKnEyEVRRcEGTEaMRpVGh4adhrZGRsZJxgTF/YVZhOSEEEOzQyYClEHqQMvAUD/f/zW+OL1dfPR8VXv3ews6nbprOhj5xXmyuTK46LjQOIz5MjkZ+TV5tDmvOY75THnsurr77zwj++h7wXyzPae+tj7bv2x/1MBwwJ6BFoHoAs7DgoNAww0DVgQgRJmEsURLhFpEPgPyQ+XD0EPUQ0aCvQHHgd/BlYFCQOuAFr+y/tW+uf5qvl8+Mf1MPP88qXzF/TW813zFPQy9q33b/l3+qT8yv+aAikFgAhVC6kNEhDyEh4WgxiMGqAcOh28HY4ePCBCITQhFR92HUwcaBsqGnwXBhQCER8ODguNB4IEwQE//lT5cfXz8lvxPO+q64joRebE5E3jYuEi4Pbf3t6O3tHeF99U4hfkeuQD4xzkI+km71jycfN69PX2cfvk/h0CHwZSCMcJvQooDMwP3hRHFjUVfhMMFKIVHxZYFnAVThMlEfsOEw6VDXALawjVBfoCvwBd/pL8EPvd+In2JfRU8tvxy/Bb7wTv3e6f7iPuye5C8VX0dvd0+X/5EfzaACwGIAu7DkkQxhGzFAEZoBzmH9UhLiFGIHchXSNKJd0kECL4HtscPxwiG6gY1RR1EK4MrQlPBmkD9f+0+7/3LfSY8WHvduxa6b/leuNP4tPgod6F3G3bNtoj3PTc/t3C4A7ip+IO5C/ozO5485P1LvhF+8b/XANUB/YLcw9QElQTmxTQF1EbBRysG4gb9RswG+sZyxhqF3wVRxNxEJ8NiwpwByoF9QFj/yv8KPm49nT0jfLq8E3vqO5B7S/sBeyW7Dftuu0J75HxgfUD+5r/nAGWAxsH8Qw6FEgZhBxQHlkgcyLoJNsnEiorKtsokielJwsn6yQXIr0fwx0eG8YXnhNsD2cLzQeOBHABNP7f+cn14vJW8O7tyevR6cPnKeXI4s3gU99d3ordbNyC3JLdquK95JzmLOY26A3s/fDC9Yz6R/7yAZ0EjwcbC9EOzhHoE/4V7hhcG7MbMBudGucZAxmQF5IWtRQVEkAPcwy6CcoGYwNpABX9zfrK+Of2AvVT88Dx3/D077fvpu8r8O3wu/Gd8iT05/W292D5R/t7/TIA5wK5BXkI4AohDUIPUBHDEoUTVRN3EkgRzxBbEWgS0xLvEWIQWw8ODxsPgg+fD/oOEA6gDI4LtQolCoYJfQiEB9cG8wUCBQgEKQOeAhgCPgEnADP/Kv5R/Yb8B/zB+077avq0+TP52/hw+OP3hPdi9233gveh9433mffB9/b3CfgN+Pz3Ofh++KL4kfiF+If4rvjJ+H/5/Pkp+u/56PlC+gz7nvsh/FP80Pxk/Vf+SP9HAAgB4gFtAm0DbQS5Bd4GEAjgCM0JzQoTDPsMrA0wDswOmQ9eEP4QKhFLEScRPxFmEVMR0RApEG4PrA4vDmMNbQx/C5wKzwkDCS8IOgddBqUF0AQFBFsD6AJtAtcBUwEfAQgB0gBlACwAEgDe/2f/+/6p/lz+1v02/a/8V/wJ/NH7jftM+w774frM+qb6lvq2+sT6gvor+un55PnB+XL5Gvng+Kn4WPg7+Bn4I/j69+H33/cH+Cv4P/h0+Lj4F/mL+Wf6dPtm/FH9SP5w/64A6wHxAioEYAVdBjEHBQgWCQQKqwoiC5gLFgySDLcMywyMDD8MAAyPC+wKMgpyCacIpQedBrIF3AQZBDYDSwJtAbAAFACN/xT/x/5l/uj9tf3m/YD+EP95/+n/pQCqAcgC1wPnBOUFkwZcB2UIhAlvCgoLbAugC9MLIAx4DLMMoAxSDMcLCwtfCqQJtgiKByMGgwTtAokBSQD0/nz94/tt+i/5+veo9lb1/PPE8qPxpfDF7/zuSO6l7SXtxOzG7A/tg+3X7RHure6L777w3PH68hf0O/WW9hH4ovky+9L8ZP7N/zQBugJyBP0FWwdmCF4JaApZCxgMoAz+DCQNHg0PDfUMzwxzDOQLAAvaCZ4ImgeSBlMFvQMXArEAi/9f/gv96fv4+kz6x/l4+Tr5NflX+Xv5xvld+ib7Hvw3/Wb+o//zAF0C+gOPBQsHawjGCSILWAx+DXQOVg8aELMQERFdEbYR2BHbEWsRxBD4D14Prg6lDWYMAgtqCZYHrQXVAwkCFADh/Zv7nPnS9xr2VvSf8gzxvu+R7nPtbuyD6+/qheo66gTq9ukx6rrqcOs97A7tEO5Q78DwM/Jz85v0wPUJ92f4zPk4+2v8bP0y/h//LABCATsCAwOhAzYEwAQNBWcFtgXdBcQFaQXkBGEECgTFA0wDmgKwAdQAAwBH/6L+/P1g/Yv8rvvb+jH6xfli+f/4lPhI+Er4gPjn+H35Mfrv+pf7WPxZ/Y7+0v//ACcCSANLBE0FZQavBwEJBArYCpELbww9DRQOwQ5ND7MP6A/rD8kPog+FD1AP3A4tDlANUwyQC9AK8wn3CJ0HOgbdBIgDOwLuAJf/Kf6g/Ab7b/n597T2jvVs9Djz7/G/8MfvDO+M7kruEO7J7bDts+3I7RbuqO5M7+XvbPDy8JvxZ/JM8zj0DfXp9cT2pveS+Jn5lvps+xb8lPwE/YD99P1N/n7+nP7B/uD+2/6n/o3+dP5m/jP+1P1p/QL9qfxQ/Pr7ofsk+5/6PPri+YT5Lfny+NH4r/iJ+HT4ZPh++L74I/lj+af5Avpg+tD6Wfvn+3n8+fyC/Sz+4f6g/10AGQHmAZ8CPgPdA3kEGAW+BT0GsgYPB3oH3wczCHgIrAjTCAEJHglOCW4JlAnECdsJ3gnLCZwJXgkfCdgIjQhGCPgHkAcqB8UGVwbeBVkF5gRiBOoDXgPLAi0CjgEGAZAABwBp/8n+Nf6c/f78YPzH+zD7n/oZ+n35w/gY+JH3IPe49lL27/WY9V31RfUO9dD0ovSD9GX0QPQe9AP06/Pl89Xzz/Pa8+zz/fMS9Cz0OfRn9H70nPS09Mz06/QN9Sf1QvVw9aH1wfXh9Qn2NvZp9qn26PZQ97/3BPhP+Kj4EvmR+Rr6pPoh+4j7+vtw/Ov8d/0d/sv+cf8MAJUACAFzAeMBYQLqAk0DhQOcA60DygP2AywEWARLBCYECQQFBAUE+gPrA+YD4gPJA6wDhANiA0kDOAMyAzMDEgP1AgADDwMfAzYDVgN6A6YD5AP/AzYEegS8BPwEPQV3BbkF8gUgBkYGbAaTBrUG2wYABy4HSgdaB28HhweQB4UHbwc+BwcH3wa8BowGQAbPBU0FzgRWBNsDSAOfAukBGwFSAHD/df6C/Zj8rPu0+q/5oPiI94D2nvXQ9Av0UvOn8hPyffHk8Fjw2+9y7xnvwu6F7lDuLO4S7gTuBu4j7nHu1+4+75Tv/e9z8PPwevEB8ovyMvPD80j0zPRT9dT1S/bk9oL3DfiV+DL50flr+hP7wftX/Ln8Kf2m/Sj+qv4l/4b/yf/u/xYAWwCtAPEAHAE6AUkBUAFoAYMBqgHVAf4BIQIjAhQCBAIJAiICPAJNAlsCcAKHAqMC4gIlA18DlQPPAw4ETASdBP0ETwWkBQIGWwaiBuQGIgd2B88HIQhrCKcI3QgbCWYJsQn7CSMKTwppCoIKnQquCrkKuAqvCqAKhQpXChQKuwlgCRsJwwhxCAQIeAfnBmgG9QV4BeQEQgSAA9oCKAJ6AcgAGQBx/8v+Kv50/bD8D/xl+7H67/kl+Vv4lffb9in2kPXp9Ev0vvNM8/ryxvKo8oTyQ/IR8gryD/Id8iTyIfIZ8hvyPvJq8o/yzPIc82zzp/Pp8zn0lPQA9W314/Uw9nL2sPYA91j3nvfP9/r3K/ht+K746fg2+Zj5EvqL+vP6Y/vs+3/8Df2V/Q/+dP7p/nb/BgCIAA0BkQEZArECSQPNA1IE4ARnBegFSgaiBgUHWgeZB8EH3Qf9BxMIMgg1CGEIcQhuCGMIUghICFIIawhvCEsIIgj7B8sHpwefB58HlQdoB0QHIAcTBxQHEwciB00HeAf3CGUOsQ06CbYH2QgBCj0LPAv9CrcK9gk6CVYJ0AkBCmYKFgt2DGsOwgsECOkFowRBBHwEWQSGBKAEGgTeAi8BZv+w/Sr8nPrJ+H33Gvb4847xwu9l7WLr5uk16WzoXeiQ6PDo6Oh16N7n7eYA59Ln1+jz6bvqhuyX7iDxavOq9Zv3m/lP+wL80vyk/uAANgOQBg8JcQonCgMKQwpuChMKsQlkCU8JjwltCQoJVQgYB/UEbAIrAET+Df24/CT9Cf1h/Ib7qvqj+d74UvgC+Pn3+vg2+3r9qv/wAE8CWwOiBAEGogd1CqsN1xC2EqoU6xVEF9EYgBqkGzscthytHT8ezh6wHhweDh2KGx8ajxjdF10XtRaWFTsUJxJTEOIOgg3wCzgKxAjdBwcHOAY9BfQDHgM7AgIByP/I/ir+m/2d/Cz7ZfnD9zf2/fQq84fxLe9l7A3pxuVX4Yndd9n/1bbTeNMv2GjeYuFi3jLXfdNH1gjepuWG7ADxxfQH9VD1ofX++ID+NQW7CSQOlxDZE0gUrROyEbsPxA64EBsTmBSOE1MPHAovBQsBrP6Y/az9EP38+WT1b/C+7BDrQ+tc65vrD+xO7SruT+4b7hXu/e458Rb1QPoQ/2sC/AP3BBsGBAiNC1cQ0BTqF/gZMBtAHLMdMyBhIsEkeiVGJeskzCT4I5YiUCArHlwcrRuCGiMZ9BZFFaASvxAyD1IOmw3ADDcLhAnaBzsGBQWqA88COgKnAdMAAf8B/Wj7FPr0+C/4YPeV9qD1WPND8A/t2+nP52nl9eJt30Lc4Nja1CzRp9GV1Sbcwt1r3LTXjtd32+vhV+n877n0Hfe39/n3IvvU/zMH0g3AEdUSEhEyDxcP1Q+uEX4SahJFEesNowlzBbABIf9H/an74PmX9nTyze1o6lrp5uki6zDsbezP67jq++pU7fvw4/R3+I77o/6AAnwGzApUD4EUbhuPIl4o6CkeKpcqGC3yL3IydDNTMoIvFCukJjQjuCAzH3AdRxrVFYMQRwzUCZoIhQeZBRMDZgCv/Sb7kvkQ+gr7d/uv++37m/s5+3/7Sfz2/Zf+1v6J/av87vqk+B/4N/aA89jwu+456wPnPeIp3knbANbo0FjPUdSb2dPa69Zc0e7QkdYO3kPnHOxq7w7xLfJl88b2l/1VB9EOFRI/EEwMkQtmDQASCRaOFuETEA+WCSYF/gLDAjcDDwJ//ir4HvK57lntMu4o8JXxafOK833yYfJ79R/7RQHWBnMKEg0IEMgT6Rg4HrAitycCK3YscCubKlUrpiwgLSYsmCnkJQwh2RvwF+MUHRKhDg8L1AayARv+SPwJ+z/6ofnt+Pz2jfbP9un3bvmX+lb86vzZ++n8iv+xAO0BgQLHAVQBhgBG//b83PqT+Uf3a/VN8svuo+pl5QPhiN9s4H3dD9dfzWjMJ9d+33zfxdpA2HfZa97H4I3prfEQ+AD6w/k39y31q/sjBxAP+BEeD3AMigu5B98HwAveD6oQoQxkBlsArfvW/GX+FACb/n76xPcn9THywPLO9oD81P/z/1b+Hf49A+QHtAyBEXUUPRc5Gh4bthsDH1oilyQUJgolCiHbH8wgQh6SG00aNhn2F5kUzQ2eCV8KkQrQCX0FmgHs/yb/Yf+m/03+wvv4/ncAl/2w/I0A9/9CAawDIAOrAI4CDQQFAssCXAKi/zIAZQDR/R77cvmQ+EX39fOW89fypfBo7kHsKOrv6KHowOdm5bLli+b35XnjfOGr4Cvhy+GX5ILoGepy6pHn4Oc56STpOe5C83b2kvc39gj1jfTx9Wn4YvuD/5D/Qf6G/mb+H/7Y/8sClQWyBXIEsgMSBPUDXgX5Bi8JMQtMC44J4wiWClwM4w5vEBQSTRPGEn4SqRJFE7wWcBVuFVUY3ReRFVsWDRaKFs0WfxR5E9oVGhMGEXURSw9mDdIMbg9GDREHuQkRCSMEIQe/B3oF7QTlBEkCGwI0BSoHrQBYAdsFfgAf/qQEtAac/3kADwZa/4j8rwN0Abf8AP1N/Yn8Evqj9zX3lvol+p/0hfHQ8wT0iO2N7FfwSe8d7Fzrfe5K6sXkLuXo6DzsrOnQ6ybvjuvD50jpsOpP7Rfw4+4+8G/0YvId7RjravEq9PHxSvMe93T1nPK28cPy6PMc8hT12fup+SP3mveY9Uf0E/Ud/cv/9/z3/mv/C/2n/XEAyQHoBD4JvQiSBfEGHgkaBngEtwspEzEKvgtbEQYOpQtgCcoLNg4FDxoNsQ6zEasOYAjhCosM5giYBR8MPxK1D4kIaQO7BoUNhQztAikC9hBpD1gBYwWMDDMII/+gBOoK2Qp2CVwECgZ2B70Ebf+V/OcEVQf3AiUDAP8L+S/8ufcM9EP+Vvw++Zv8jP0y8YXwRu0z76bzSfIA+Nz3oOyw7jjvQelZ5Oz54/aK6i7zFP4U77PrYu9u8fLzAPfE+J757vsc9m/0P/bu95b2hfon+2D+BgGO+1H2lvwz+Lv6Ev+R+4kAhATS/NT97f/n/Er0wQBkCm8CfvdVAmIIyv0d9rsDswy2/9n6IwKkDRAKtACiAN0BEQP5BOQBtgGCEpYOE/wu/CoO2wq4ALAAFAouEdgIbv3U/R8Lyw6KB1QBRAWyC/4ITQVcCioK+gF2CfsKQP92BF8ONwtmCCACO/x7BtgMFgaGAbv8bQdsEjwBd/VDCpQOjfyl9+cC/gUO/f73jQATCJX/GPgd+Lz7FfxZ+vT4QPMtA3AAKfL05xr+QwU97VfoD/nM/FLyl+2B9DD6vPEy7On5ZvQ87KL45vLj8QT9IAKe7NHlgvkgAonzb++Q+T39Av4Y9l7s3fXnCtzzXeq7/BIKFQMB+cPyevq9BCwANvTx+o0PhPV38xQO9QeZ9pv81ATV8Zjy9AxBEv0DhQAl+qb7OgFQAHUI4gXz8d0AfQ6sCcb5+vttEtYRRvSj+cULihDgCfP34QC/El0MQP64AWcK2QW1B/kPt/k3/v0YzxSm/pL+XgeJCSAK6gHl+f4OAhFXBX/4rvz6DiwLSPft97kN2BQ9C0oEtP7F/7sMpguFBVz7tvS/CXkfpQK/74z3mw57C9v4ovEZ+HYA1ArBBYXra/E1BLMEoPTK6t/0QQPa/v7+K/fL7kv8TP2Q+I/xfuja6hsFbQhK7a3yxPWC97r7d/R28HUC9fcG+kn7mPrD+h/8dP9n+t/tCvKp9zYB4Qg4+E71gQAtBBAAdwer/FnplQNuC7IB4PZP9nwBQA58Ayv3nesM+6gHegHM+Kb9tgPxAoELo/hv7Rj/0A2kBrP4BviRDhAIZghuBMr+CgD3BT4GkwRt/YYG3g9YCeYHHwtLApj1bQ/fCOMHjRDrEQIJsgQyDaoF7P7xBD8O5RCGArj5igyhGKAASPieCBAMEwmtBmYCcPx9AWkTUgMRBgIBmP2uCRAQTPxn6ukJrRAN/fPyxv6GB3QB9AVz8zH3vAkUDcz+4vfZ/Mf4NAJGBQ3+CfyS/pv7KP9V+uoCrvZ59BQK3RQS+r3snPo8DAYILvk39b76YQCpDJj0j+2B9If4bv4X/l3wUOrg+838Fu809DL37fBi8Sv/bfF48mLxHPqT/IL2o/Eo89UDAgm8/JPx+/aW/vb98wP0/+f0RvlJBmAEwfrQ+B79PAYFBYn6UPf6AtkJvABy99385wHI8hQF0gHS85DxBPoyDB/4SvbqAXsK1wAI+a8C2PlQ9DoO7g5J+m/5MQdiB6n7Tf9a910PVAFYAFoJnQUU/TQKkAsi+N4OsQvtAGUBiASPBKgTZgInBtcJ9wL3+9X+AQjCDGn2iP+hBswApPzlAY8Gvf3l9PYJkwPp+ncAfwFz/Pn9bgGf+g3/vgCF/KoAiweK/DjwIRHXBZD0igJzBY8BNACjAcYArfzK+iMUqv4DAb7/FP/H/fH1wPXeE1HswwBv+tMArPTH61v8jwU841PxAwNv6JQDefSp5fP7jQ8c9dbg4gnT7ef6xADM8UnwEgSMCRL0bPtUCksDqfY49rELuAZAAgMKGwFY9xAFKhAX+BD+fQxoB/L5vwJtDsP5s/aAEpj9O/h1/WEGgAFT/ej74QAWDJn9o/MTBrv8Cfg7ApcLiwIdAAIIaAmLBJvyiQTYGD4Eaf4YCQESDgljBzcHDABJCCEKxAHkEHL7jw1EE2zwJASdDZwHsAVa+3v8chJjCFz6/QK0Apv24wyiCNDy3v92ECf6Tu/GEMgFCOpBC2wAOAEnAqIB2QUKA879p/y8BrYKzfty+gIOdQar9zAHQQyQ67gRHgPb6N8IcQsZ+Pj3HgG3/637I/p77jECrP+G5zvzsApu90zxT/Vq+oX3+P1a8wfxqP9LAR/7e/fN8jQEdgdN8r3svgx9CQ7wAveHDA70rwkm+Ev6TgosAh7+UwSp/hL2vAEKBwP7Rvys+47/bg8Q9d34YQTQ/lUL7+oI/dQcTeu/BKwMSfDDD0/8+fmTBioFkvtAAS0KMwne/xb/kxBiDBz6ngMgDWsI5AJaAEoNvw3d+jz+Nhis+m8CLxbv/cr+RBERDd/8hAApAWYU9fy/Ak7+gAG2FVj/Eu79ECsVRvQ9AdoEEwt2A+LmYQH2Hlvx4PcEEA4N1/RADTH8UgCuDHH+UwRiFt3obQG/IdjxefBNCVoLUPlS+Mf//RIW94TyNQ31/47/GvOIAg4By/33/JP8N/LIC5z+CPPtCKLxmfcVEM/2rvGKB1EIhPe7/acDrQCP/yQAH/rZAQz/iQUgA97/Kf/k/YsKavs56/sdrAJN4y4UdwX37h0RDfHUAA8VLu9xBNwAFwCuADIH/QIeBHEDewlt/7H62gwhByD4nRcNAt73axC3BnT7UBKv/f8ECg6aBMX/sRGv/u8ARw/h/2YB5gcdAOwImASr/QkCuwm49igDgA3n/Gr9JBEXAbH9APchDi37VP8jB30GG/9GApQEowBBAkv/fRBL+ej7zxJV/Rf9ewapAvPxXQF4BT78tv7g+zkHGgZG7q8BlQRd/JXzEwzV+8r37QBe+8r80viqAQQF/vtv9zEJt/zQ+xv4cgFoBJf50vwOB5j9YwEa/9gASv2l/boClQVq9dwEmgXk+/4CI/t+A/oDCvYMDsL+Xf6YA4T/3fr4B238e/81B1gHsvxW+k0JuQJiAZ39RgMNB3YG0v2fCJoCFAQBAtECsANrDM0BuwS2AswFbgOA/OgKxQOZCWQCxgKJC6AA2/1zCnkFrP8MDGz7Ag30Ao7/Ov4iBiYF1wKe/jMBehAj+en9iwS2B5H6HQUkAXMB8gjZ/PMBqwNc/ngDggUo/+QETgwI8TACqAnE+yj94AE3/NkEqv0B/bQI5/13+QEGk//o/tb+8foABbAAwPnG/tP+/f4mA3j3tgHLCkjvfQS4ACv9JQJhAeT84wE2Aij8YwftAWT77QqZ/7D+6Ad2A+QBPgc2BRkCOAKJBYwFbPs+EQz8YQdAA0kClAXB+XkNTAME/bcORvwBC/0FfgTwAI0PpPttBo4Ltf7uCJ0FXgX2AbERu/eiClEHgQPjBy8FgwTTBooBKv68CUcDhgMSByT75QiIALIFlfy+Cm0A8P8CB6L27ApwAdT5nAajATkBjgjo+yoIn/21AgoD+P71BYQCqPpsC/b+p/2yAv/9HAEgA5X6JACEARL+qv8h/kUIOf4O/g7/HwB0+9T71gAg/28CXP0i//7/SQCH/1kHCf7t/EYOvvfe+A4PuPen/mkI8fko/1wJ4PvP/woDiQB+A+X8fgNKADb8HAS5AfUDsAD6Atf9tAii9sEGMgMICFX4Qg5u+2j99gnZAcABgwQbAj4CAQEGBdD4pwJ7AtgA2QjQ+YAPxv/V9rQNBv/E/nMH8PovDP372AXbAKD9QAYKAHoGE/2bA+AR1ug0BSoJ9/LhCowARvZNDuP8bPc8DuT4gv8tBoX26QUbAE3/QfkMCXv6aAG7+pIFTftBBBIBSv0fAaYCCvrQ/cMAIv4i/6EFivv3A1L/FvwF+lICV/5L/JEDgAPC+DUF6fzL+KYIjfYUAagFE/1j/5sBo/3YArf9bQK+AgMKWPuxAfAHxvqbBlv/pAeu+hMMcv9f/0AGYQB7+00ErAB8CGUATfc3Dpn9zvuZAogBcgF7BWj8HgQvAPP88A4H+r3/nAo3/oz9/AaPBWr/9P2MDDb5zgEWAPwADAhN++wK5Pzj/q0Fk/05/ZIDggGTA1H9Ev8wBwb2Lv0DDb/1ywNWAB8A8/+t+5b/OgEq+8//If8PAqP8kv8ZAa347QGZ/goBV/4ZBWL81AP0+I0ANAQU+B0ARwGL94YEqfz6+GYBC/5R+b0AjgKd9r//f/3d+ov+2f7L+8n/YgLZ9rb+hQdw9hcBAghX9nEGSfmLAzMElvkkBqcFqPqT/vz+FwArAof5pwIYA2z8awQR/xz9jf7LAFABhP+a/0sB7QEQ/DsAZwS6+u8CIAJ3AEUAmwNg/CgD6QYp/UwC0/64/nsJ3vnVBwoC1fvTDvT4+PpPDMP9JPZoCYUEHff/BBYFRvjIAgP/wfl+BN/+2f2IAG36qwE/Aiv3PAGpAKv1PwluADj5RgEgCPT7GwH8/lj7/gGvBhX9cwAXBUX9GwO0Ayj8XAFbATQAwf4W+vwBmwO/8qEG1Qe859kGKQVQ8akMcPp18QQSkgLP6qEQu/s48lgN0fik+iwNd/jT/3kDwP6vAisH+/l08w8SV/0X840QsP5/AygAS/pJ/XcKh/x/+JQMNP7e+QwJVALh+VAAUv9XACIBNf3j/pwMFQA5720OfQr+8fICdQyd/hgBTwLM+YUKaAa099IJoQed9878LRE699D/Kw6t/kQA8gK9+1oJmAnu76sBiwkE+3P6DAEeBkr93/o7/tn/N//e/3D8GQJZADf5FQMOArD6QgEaApL9D/1U/tsApwDO/+L8nAGIA6j8qP7FBgz+WfhXCA/+Pv1Q/wz9ggZBAYT5iv3HAqv/tPxb/EX+8/8j/O364v8b/6j/aPzN/ZgBp/ts/aIBNASJ/skC7ASw/IcAkAGa/9MDZQCk+7MCEwW3/lz/RAD1/+L6LQb5+TD9RAH0/V4ByACo/UkABAPV/l/9MgG8/q/9ogEEAksBBgb2/87/twJAAJoAlgJtASIBKANTA4MCDwK2/Yj/TAQgABUDWALa/gr+dgBtAboAcgGKAo8BugGzAusCqQFy/koDFAF1AsEEtwGg/zsD5wNw/kH+1wHrASsAiwCyAd0BVwHe/0f/RAHCAdH8Tv0K/+4CSwIL/+7/hQFEAYz/0v9BBJsCw/+q/SIB+wMn/1H9AADwAVIBNwDt/vT/tQAFANn/tf86/5b/eP/r/q8A6QHx/gn+GQAiAMP9O//AABz/8/3X/nf+nf4FAZ//MQAQAVoAb/8N/wr+RAHiAvP9sf90AK7/oADtAaYAp/+ZAHYAtf8zATEB5f86ADIBfgAlAywHCQXKAc7/PQAwAgsDgAEGAAcCrAE3/1wAGQG6AKgA5wAwAN0ARwL8/gcAbAG7ALn/gAAuAh8DXQG5/xQCLAHR/kn+3v6r/bL83/uG/P/7Rvx0+6j54Phe+Or3Vvdr97X21/Wk9NXzh/SW9Pry1PG18Bvx8PGl8Svxa/Nu9VfzPvWR+Bj6YfoU+x38evz//ygAgAChAB4AoP8/AEkCigUOBT4DAAOaA4EDxwIJA2QDQwK3ApQCiAJSBDcGcASsAzoEigSSBAAEwgMkBGMEuASrBQcFOAbvBX4EQQSZBbMENwKmAnQESQOsATQCPwMSAZ8BsgFj/zb/kf93/u78mv0p/gj9xvxx/T/9/Pyi/XL8DvuO+9D6dvpr+hf5BPcs+JT4gvaK9Wvyme+n7c7rGetg6nzpk+fm5ujmz+YO5ubjsd+D20bZOth71yzWq9Q+1X/a/eER7I7zI/f0+WD+ngM6C8IOrBA/EKcQHxPeFsgZfxhjE5kO2wx1CbMECwAN+zH1o/Js8yv0g/Qd9ov4lvrb/WIDhgTLBSsH3gnsDN0P2hO4FP0VLhoqHDUbShmxF5UV8RE3D/kLLAlYB5EGpAbOBicGHwbDBSsFXgW3Bc8EWANZA/EDVgLGA4AE5QSzBLgDvAK/AjMCYwAf/Sf7MPv6+bj2MPQI9CTxd+0K7X7rpecE5N7gS9212hbY6tGJzQ/Jf8UWwI+5JrYPuXvEptkx8HP/6AdGD8Ya6SdmLkIs8yF9HN8Z3hp1GaoUJA1SBfgBzfvw9fPsWODt1jPRA8+UzrDOcNNb2QDi7O0o+lQErQzSEWcVcRoIHRsdfRp3GkAbCBuVGrsYpBT+DjAICAF5+Uny7+ur59jlxeau6fLvN/tCB9gRyhkmIWEoZSuhLCcslSk/JZQgwx14Gu8W1BK/DQcIZQTDAOH8uPp9+nL6qvsJAQ0IUAuoC8oMbQ00DFYIwwKN/Vn5YvVX89/xI/ES8qr1WPmJ+kb5Avfo81zvTOkQ4VXWi8mdwMC6QLY2tMq4Bcss6DMEtBMiF40bOCn9M9E0FyZ6FfAPORI0ESkKowBr+dD0YPAe6kLhB9iv0bfOZs4i0qDbB+cL8jD/Rw5hHBslDygnKMQmbyOIHlYYpxCUCrwFVwPG/4n5J/KC7ETpPebs4Q3fa+Di5RLtAPVt/loIIxHjGNQdQSCiIsIk0CZsJKchER8WHAQXKhHzCrkFGwCb+m/4ofnA+9X9VAFTB78NeBFxEeYRKBIbEhkRZwsEBdoCFwXlBCsFswROBTcIaAv6CNsFEwPz/wL7Efb17tnn2eGW2ZXOCMP+uNyxPq3vreu7M9oQ/gcW3h4WJpA1okTnRFg0JyH1Fp0VlBEdBQH3jO2452LiptxL1hjSfs2Nzybb7egM9+QDjhIOIpgx0Dq8NkYuVSiaHxkU5QgW/djzfvFv8AztN+s86JDm++Tt5g/r2uxL8EL48wNXDlgYrR6gHrAdrxuVF/sRKAypB/sFqwYyCfcLgw59DkoOcA7+DkENMQr7Bp0G8Qk9CwAJFQawBbcHSwkrB4gE8QS/B+IKPQ0sDpAObA+gD4YOxguhB8gD+/6f+mj3MPPP7LblBd9W2GjNz8V0uoSzIrrDywbrKwzMIxUxFjniQs9EzTpPKM0Uwwba/vr2qewx5QXhdN4c31Tfx9z52SDeIuiS9N4C9Q+rHzUs7jOWNMwt0iHBE2kElPYf7cjnguUN5qboLOyG73XyePM29Ar2P/pTAG4H0Q+wFysdZB64GdsR1Ajx/nj0Kewr7Yb2tAR1FKEgsSmDLD8rBCS2F9EKCgCR+Y/3RPh8+kT/9QTcCa4LHgyPDTAPzhHLFLsX6BmTGhYY3BHhCZMAwfcn8Knryurc65nuSvK/9Kf0cu6g5HHZAc2awhK3drVAzGf2MBnQJjUrWzXcP984zR+OBt35kfS+8NrqqeTk4WLkiem96ezjWOE46XX2xwM9DmwYHSWSLYctNyU2GMgJ2/yb82jsUegJ6tDv9/XO+ET6U/nu+OL5F/zF/1gFhAwkFEoZXxdKD/QEnvoP8a3po+dg7V38cBAQIzwv9TWINdsunCJ8ECn+cvII8JPxq/MK95z+Oge+C5gL1QpLDHEOBxK5FNsVfhWmE+wNBwZD/Ebzj+1d7LHuUvHo8+n4NfzI+nzzsOjB3cDTSckRvNevkbbI2FgDbxwgIosqTjz7PhgukBU1BBv83vaf78/nseBF4ELmAemX5G7jmuwQ+mIFLA6pGfEkrysxKu0g5xPGB8b7BPCg5uzhy+Mo6dXsfu/U8lv2cPnV/X4DFgiBDAcR2hTZFPkNkAM3+gDzpO2g6yHwuf5lEAwfOCiDLVIuBymRHgsQpgAY9w31TfUW9ir55ABnCk8Q8hDpEO4SqBSRFC4S5w1cCPADjv5b9zvxJ+2v7H/vPPPQ9pD6NP4U/tr5x/IP58Dao9OPySy6g6ursF3YeQhhI/UgvSkEP4JGxjLKE///QvyN9mHrR9+82OfZ1OCI5e7iJeOk8CECiQ/zGKsiyiuqLt0m/RbyBif37unp377aCtvD4cPqEfE59+z7rP73ANYFZgtFD5IRPBR5FXYQKATj9Sfsx+YH5T3tvP6bD18eRytZM+swOidTHDIQvgK2+dH3vvoI/d79+AJbCgYOSw3gDIkNIQ9PEB8PMwvPBQoBNvzl92zzaO+98EL1c/nD+379L/2X+9L4fu9m5c3ckNW3yte8l7HKsDXNSPyxHPokcyczN0lGtj73H5oFhvyc+L7v6OM03JXYPN2B5Qjpb+mt73z+7Q6wGyYi3CU4KEMjehVRBLn0JOc+3ibawNo64bzpAvGF9i/8XgCfAZgD4glREOkS+xO1E2ERVgnv+0jviukZ6lXydACjDzsd+icJMFExTSvbHw0VHgwcA9f7ufnX/Bb/MwBVAsII1g9xEjQSQBJSE3YSHA8FCTUCh/rm9Njx//Ar8s7z5vbS+/z/FQESADH+Xvk880joAt1/0jXJwb6WsnexVsai8PQWtiROJkctYzyXP8YvZhUKBdL+GvkW73rhvtaL0TzUettv4R/ncPEgBKYWaCSfKsUqICc8HgQRnQAB8nvmOOAa4HXi2+Zx6wTwDvRS+OD8zv8dA1wJFxJiGeIboBn3FDcOIAMr9hTsNOmF7wH7OgbiEJEbEiRaKX4oGCEhGC0R5AsUBjEAHPyJ+1r8NfzQ/MD/0QVuDFYQPRNtFScUQBF7DP0EDvzn9O3x2PF/9G73OPgx+kL9Pf4V/cj5mPIR6LTdKNe5z5jFfb0JuIi3P8Yr7PcVZStlKQAlkivNNGcv+x0wCyQFngHn/JH1ZOnY2zvRLtIG2k3hvedA8jUDMxYwJrMtSSytJbMbvxASBPv3B+294+PideZF6JLoYuhC6TTrFvAB9lb81gMTDG0TxhdVGWMXPxH2CGgANfg98izygvjdAC4JrRBgF38boR3qHiIeyxo7F3UV9hP2EHML9AOY/Vv76PnC+ET6hAAbCTUQ0xR1FxcXEBRADrQI3AL6/Mb37vRy9Ib2iveq9anzgvIq83X0jfIp7+Hpl+Is2dfQB8iavru59r1w1aH+XyO4MgYsESErIowlMyKFFnsIiQFrAFUDCwL3+X/rndkizxjRZdoN5X/rXfV2BeUWxidWMDcv2CVIGEsNzAUcALv6qPK37Gzrgu558BXt1uYn4TnfIOSp7bH4wgLRCkkSfBgGG5QZERT+C4QE5P2++ZL6jQCOB44KPwzcDEMOuBCsER0U/xZaF+sXSxgPGUsXOhEGCSoBnPz0+tv6rvy7AEEGWgt8DiYQbRCdDzAOBAyuCQAHnASOAa79IPqU9b7v6Ol/5FPix+Mx5gfnL+Xs4I7bwtVpzlrFEL3vuWLAPtkcA2snMDodNmkpzB/zGlgWcQ8UB+j/9f2J/lEAkP5j9wHpTdcdzADLktO54S7w2f00C4oXeCLDKo0sJyfXHCIRQgi0AwcDaAPyALr71vXV8BzttulP5ZPgudyU3qnmsfFI/h8InA5BEi0TPxKYEBYOlwuuCYAIRgimC3kQ1hJEEIsK8gSsAegBTAW7CdMOlxRmGYocjh1SG2cV8QxRBH7+9P2WAMwC3gRjBvIIBwwqDicO4guKCBIGFgaECG4MOQ4nDW4J+ARqAJv6DvN160PkVd6P2yza9trW2ibXTM+rxE66wrPOtUG+TtMl9s0bbzZRPiU29ij8IfYe/RfuD14J2AZUBhAFkAGk+szwIOKszTTA574tyJHXLuiM928HuRYVIkEpUyvHKMAjJR5WGZoWoRUjFmoUrQ4vBj78bvI96jTk598z3pLel+KM6XPxNflkABgGCgmFCYgHzQYpCA8LtA5DEv8UVReCGnAcVBpvFIQMmwST/ij8Qv57A5EJSg+eErETdRM6EiMQeQ2iCCoFawXqCJkNERG7ET0Qcw0QCiAHSgQfAnEBlAKNBQsJKgyxDz4RQg9gCmAETf7A+Uz1PO8R6M/hPN022Y/TV8qIv1K0w6zJqs+vOL4c2eIAvSOMMuss3iAhG2UemSMJI/sedBtwGeEW3RBtBsr4+Oic1e7AK7Z2uJzFhteT58/yMPwDBDUKtw8qFDAXihkVHWoibSi1LtQyEjGuJwcY3gUC9iLrDuSw4KrfOODy4ufom/Cq9Dz3+vcV+Aj5sPsSAOEF2AxYEoYW3BhNGsscxyBdIdQbzRQDD9QKMAiCBpwElgKkAaEBFgJXA1AFyAdICtQKvQgXCAYKIw3zDlMOPAwOCqMJ8wrzC5ILmgkjB5MFmASTAsYBEwKvAfAAzABkAb8BDQHB/S34LPB/5nfaTcwAv+q0QLGHs7e6Qsq95FEEPRsyHloNE/7N/HsHxRRgH6QnpC4cMy8u5R/7DWD8OeuR2Z/JrsLcyEbWhOIz6SPqF+hU5knnSu0S90UDghAxHQYoPTCWNYU3kDMfKcobdg8iB3kDvQK3AWn9WfW37cLpRudz5Q/l2+ZA627ySfu5BJgM8xKTFpUXnxhpHGEiYSavJ+8kpiFzHIQWTxD3CQYEXv8c/eP7e/od/GT/cQETAZn/YP+8AW8GtAooDbcONhByEXERGQ+lCm4G3wMUAsIA+AGlA1AEJwQXAyoAPfsO9vvw3+kP4QvYvNAuykbE08HzxaDRH+jTBvwZZRauBc75fvxFCo8Y5SFVKlIw3C8HJSoUEwMK9fjoTt0S10Hbp+Vy7jfu8+YB33zYtddX3rPq2/iwBg4TthsDIJ4h/SHsHoMYYxS5FFAYSxydHUQZZw56AJD0S+wv6JPnDuv+7j7yPvZj+m/9sv9GAhsGew27GpMoDzPNNEkx9SoFI8IaGRRJEGkOfw3IC2MHSQFw+631DvCa7RzwiPdm/8wE7wenCqYMcw1/C4AGNAE7/xcBWAOdBTUH6gURA2EAQ/0M+7v4G/MA6OTZE83IxDbBwMEEx/zTD+vUBawVpQ5F+nrvvPo2Dwcg5SzdNoI5JTGGICQObwCu9THthel+7K7xVvEz6NrZk80OyHDL/Njk6tb7sgh1D+YPiw5ED7YPIxKhFzogbiiILEopmx2PDOn8QfSV8V3zlPfu+oj7Dvn/9HDx2PC79Kz9RguLGXgkZSoSLFUrlimnJuUjjCJUIo0gXhuJEKEEvPvK9jb0L/Q49xH8PQBZ/0788fl6+jT90P/EAQMEJgVTAzMBVv0V+gD6V/n29gT2g/MS6jPc7M1ZxWfFkcti2FjqJAB9DF8GbvPX6hn32wo3HPAprTLKM6wqsRrfCr4DMAKvAm0F0gjQBDH32+YH2uLTYNaE4Ffr6/N1+Qf6lPYa9av5yQIYDxUcmSVFKPYk7BztEgAMQAomCwsNCQ6+Cr0BHPeT7ljr2e4S+bQEcgz4D2YQHBJLGFsgwiUAKpwuyjDxLBAjMRWfCeIE5QUtB0MGRAQPARX8A/cj9Fr0AfeB+kj9cf8x/+P7X/Yr8+fzWfaT9s30kO9p5YbYK87uyR3NctQ64I/xsf4y+5LtQufk9nUOyh1aJUEooyQBGxIPnQhOCosNshBBEnYNXf9U7ZngVt6A43bsg/Jc89fy+u+D7FztrPS6/54LORXCGYsYYhMBDLsI8gxMFI0XbBUUENYIqABE+Tj29/rQBGQKXwjGAtP/GwHvBysQXBeGHMseTx4XHBEYxBMiE/QVcxdXE/QMewZ8AbL+yf2Z/fz8U/rT9Vjxy+0E7XLvrfM69eLz+u/J58XbctE+zfnQLtje37rop/aj90bq1t/M6RYEhxrlI4Ijhh3GFWcNMAoODpISNxWTFNgMUv4f8C3nt+i77+n13vR674XpveZd6VDxofv/BQoNAg91DJ0JeggbDPQT7hqxHNUY6hAjC9MIFwleC7gPtRGEDKwDWf5N/y0EYQm/DMAO7g5PDbgLcQw3DWkPShIkE5YQXA0+CwgLfwrHB0cEjwEi/kb55PXQ9GTzx/Fb7pPoUeLq2kXTNs+O0ITUINc23ZroLPJx7dri++di/ggW2B6PHe4Y0hKnD7wPJxLPFRMXlhUTDfX/Hveh9Kv2e/mM+Ub18O3E59vkX+Yc7Nbys/Z/+Bz7af4AA4UISg9gFloa/xkzF4YUAxS2FO8WgxrkGp0UFAvaBsoJfA0sDs4Ltwj+Bk4GCgdKCCIJ7ghRCA8GiwGT/aX9owHkBMwDaQCM/pf9tvuk+v76r/rS9mXuceUs3trWttCLzh3RadI92I7kE+mk37LXWeQz/W8KvQ1hD7UPFQ7jDvwUuRjPG4cd7BeODcsFSwOWArwCdwNv/hH1OO3X6R3pW+uw8rX2PvPT7f3s8++L8735OQHqBcQHJQhRCUEMghB6FHQZsCCTIqMbuxMNFCEbDyBpHiYYqRGoDL8J2wlYCi4JEgd7A9/9AvmN+FH8/P90ANn8Fvin9J7yXPOI9rD5l/ii8p/q/eMo373brtrU3Afdh95+5TfreONa1+7auuyX+0wBhgTMBi0EpQFZBSMLvRCBFpoYJhG3CCwIvAlECXsL4A3ICfb/LfrR+In3qPhe/Gj8G/bU8DHy8vNM9X/4uPvo+4r63fmW+rz8gwGfCKgQHRcuF3MSOhCOFMobfyCGIW8fLxugFdcQWA9NECoRzBAWDWYGcwC6/sv/VwCR/9b9JPuh9zjzLPCN73/wqfDu7QfqTea945rgz91F3W/eDd+q4VnppOzE5mjf4uHA667zE/kh/vP/4P0t/kQDnAeXCSQO2BL8EMEKeAiuCUwISgfoCf8JpQQH/zr9Q/wX+/j9OgPUA5IAjv5E/uX7sPmK+2D/7v8q/i79CPvc92b3bfxiA/kGRgbpBUkH5QgJC2wOUxKKFHsVuxQ/EusOdAxMC0wL9wkOB1AErAER/iD66Pfs9y75v/re+nD5bfgL+JT3zfZM9uL2sffJ9vDz0/CJ7tjsmutn68XrQO1L7snt2usp67vsce+p8Qb0yvbD93v2NfWl9rX47fkj/JT/9ABY/8b9F/6P/oX+9f/9AnEEEAOuAfwBegI8AtcDeAcMCl8KVAqtCuMJBgjBB4IJ+wqPCtUJrwnyCJMGFARJA0cDBgM0AnwBYACQ/jX9B/28/er+fgASAoUCBQKgAXoCTwTeBZoGKQcICCkIwwY+BfAELgUGBSoFZwXoBHgD+QE2AV8BXAGWAID/Yf5k/VP7xPhe90T3G/eK9hv2gfX288/xSvD67ybwc/AG8Y3xevFO8bnxvPKy87v0i/an+O35V/qc+ib7lfuS+837vPwW/hf/Jf/d/u/+nv+tAGUBPQIQA/0D5wQYBjkHdAhxCSgKuQr5Ct8Kwwq4CowK8gmLCdEJUQp0CkgKSwoTCvoInwf4BroHWghlB18GpQZFB+wGHgb4BRoG2wW4BXYGVweGB2oHlwf+B9YHqwZwBY0EpwOgAngBYQDN/qL8CPv9+R/5f/fB9eX0ivT+8xHz9vEh8aHwhPCZ8FDxXfI88+7zZvS/9Of0C/VV9df1gfZH9yD4rPjm+HT5aPof+zr7G/tr+0P8OP0L/u/+7f+yADABtgGSAkMDYAOUA0AE2AQABcMElgSLBLcEqQSHBJ8E4gQ5BbcFYgYOB2oHbQd/B/4HwwhrCeIJTQr2CosLoAsnCzAKNglWCNwH0QcqCJMItwizCIUIJwirBzAH5QbZBhkHmwclCCcI1AcnB2sG8gWHBfUEJwQoAwQC0QCr/4L+M/3A+0T6/fjF95b2i/XU9EL00/M98+byTPNB87Py1/LR8171fPb69i73Qvei93j3RPdh9xb4Ofly+mf7yvuf+2j7iPvk+2z8K/3K/XP+Jv+e/8D/pf+n/zQAPgFmAgQDVgOpA+cDLgSGBPYEhQUyBuIGbQfVB/8H5Qe0B6oH+AdjCIIIKQiVBz4HdQcNCKAI3QgqCcwJgQr6ChELrArxCT8J2ggDCYYJLAqlCu4KzwoxCm4J7gitCG0IAQiTB5EHBAiRCKoIPQiBB8UGTQbKBToFbQSWA9MCMAKjAfMA6f+A/vf82vtR+wD7g/qa+Xj4Zfd59rv1KfX19CL1e/XA9dz18PX99d31pvVy9Z71X/Yu98n3MviX+AL5Rflh+aT5X/pV+y/8rfzO/LL8hvyB/NT8Xv0u/iX/JwAXAdQBVAKVAqkC3wIaA4ADRASCBQoHXQgRCQgJxAi1CLIIkwhcCDkIYAj2CGAJbQkJCZUISQg1CGYIxAgPCWkJrwnkCQoKGAr2CZYJRwlGCXwJugkUCmcKhgpkCsoJ5QhtCDAIDAgKCDMIfQjPCNUIXQinB+oGQQa1BVYFOAUqBeMESQRnA2sCVQEeAOD+2P1k/S79t/zy++r6uvl8+En3XfbK9Uf10PRi9Br0HPRI9DL04vPM8//zb/Tl9DH1fPUK9ln2X/Zm9oT22fZ/91T4Pfk8+ib74ftr/Or8e/0U/rT+fv+XAMsBzwJ9A+wDYQTrBHkF0QUbBpgGRQflB04InAiyCKAIsAjgCA8JKgk2CTcJaQmfCYYJOQnbCI0IZwhTCFoIoQjwCCMJBgmTCAYIiwdLB1UHhQfWBykIZQiSCM0IBgkDCfQICAksCUoJXglFCe8IpAhACMQHUQfzBqUGcQZHBisGEwbcBVgFgwSZA/gCnwJBArEBEAF3AOH/H/8F/qn8XftV+pX5Jvnf+J74TvjK9wb3NvaI9QX1zvT39GX14PVT9r/25fbd9qz2kPa49ij3w/d8+Db5+vmZ+v76Q/uV+xz85PzW/bz+nf+dAIoBNAKmAiMD3wO/BOcF+AbvB7oISwmZCaQJeQlNCWYJoQnXCekJvQlfCe8Iigg7CAQICQhUCNAIaAn0CVkKiQp1CkMKFgrrCb8JqgmwCbIJjAk9CfQItQhcCPwH1QfPB9YH4wf8BxcICgjFBzcH2AbZBhQHWgdvB0IH3gY9Bk8FQAQsA1ACtAFOAd0AKwA5/yD+5fyQ+yL65Pj591P3svYK9lv1p/T081Tz7PLT8gnzh/M39Ln04PSf9C705/P582v0B/W19W/2CPd496730fcI+Gz4Gvkj+mT7xvz1/ev+qP9HAK8A9QBWAegBmgJEA8kDVATiBI0FIwZiBnsGuQYyB74HJwhwCLoIAQkdCQgJ5AgHCVgJhgmBCYsJlwmxCfEJTQqtChcLoAswDJsM2wwFDfkMpAw1DMoLgws9C7oKDgptCeAINwhZB3kG0gVHBakE5QMDAycCYgGEAFf/Cv6j/EX74Pl5+BD3m/Uo9KjyFvGt75/uAe6I7c7s1evr6pHq8+qO60Lsmey17ADt7+2B7zDxb/Ih87DzpPQZ9rb3F/kQ+rf6Pfv3+xn9hP7z/xkB8gHkAusD4QTBBZcGLweqBy0I7wjrCdIKVwtrC1QLXguiC+sLFgwPDO0L3gvbC9ILrwtlCxAL2QrqCicLUAtKC0oLnQs1DMAM7QzjDMcMvgy7DJwMXgzsC14LywphCr4J3wjBB5AGCwVlA+kBcgCA/ij8NPrQ+BH3gfS+8d3vSO4y7M/p9+cg5+zmV+YO5dXjWeOM47Hjp+PZ4+/kR+Zz54noZeqk7L3uePBK8nH0x/ZB+av7xv2B/9MAAQJDA6gE6wX4BucHuAg8CWUJiAnnCVcKnwrKCvwKOAtPCzcL6wqOCioKwQl1CVAJbAm3CSMKWAqMCswK7QrXCrAKhAoYCs0JvQkjCsEKOgt+CyMLwwqCCjwK4wmcCXEJUQnaCNcHlgZFBbsD6wEiAFP+U/w++l/46fYK9TLyK++G7ULsIuqp6DvoUeg/50zm3+US5gPmIeaq5oLniejs6VLrzuxp7mbwJvL789X1zPdm+cf6OvwD/qX/8gBJAqYDpgRTBfsF2QajB/4HPghdCI0Ibwh2CKYI8ggECesIrQhoCGgIAgnMCZIKXQtgDEQNvQ0fDpwOBw8+D5MP/A8LENIPlw9AD6YOtQ2uDJALVArkCIoHMwbYBLIDpwJ8AQgAXf6n/Ir6H/iA9c/yTfDM7T7rDukq527lX+RF5FbkG+R44xzjPONe407jx+Mh5fTmi+gF6izseu698PjyEvXh9r34mvpY/AT+fv/uAAQC9wLaA5EEVwUpBtgGPAdvB9sHrAhlCccJwAlqCQUJ7AiICWMKRguLC7ELFAz4DIgNAw6WDkUP2Q9fEK4Q+xD8EL0QMxCcD/AOSg66De8MVAt3CVkHcQWMA4YBV//x/Ez6e/ez9HHy8+8a7QjqPOcK5WzjWeL+4WjiQ+KH4bfgq+Dk4N7gCeE34k/khOZP6HTqQe3470fyQvQA9tL31Pm2+3n9Rf8wAQMDugQQBqMGRQcbCMcIBwkyCd0Jwwp7C7ILzwuqC3gLeAvaC7cMdg03DtAOEhAhEcgRDhI9Ej8SJhJxEroSzRJ9EtURGBFTEHsPrg6mDRMMNgpOCG0GXwQrAoX/afyo+SH3VvQ38Rru/OqI523kFOI/4Bjf2t7x3kne+Nyd3CLdmt0m3trfguIS5QHnPOkO7MruB/Ev84b1t/eu+Wv7Gf3b/qIAWQL0AyIFwwWOBnsH0QekBwMIDAk4CscKugqMCqcK9AqqC7oM7A2aDg4P4g8SEUMS7hIfE1ITdBO8Ex8UJxTUEzgTZRKOEcQQrA9XDqAMmwqSCMgGJwUnA1IA9PyW+e72M/Tl8Ejt1elu5jrjvOD53iLeNd4P3jLdR9xA3NvcHN1L3dXejuFL5G3myejW657u9vAy85n12vfX+a/7qv2Q/5UBjwMbBcoFDgaaBnIH6gc5CLcIfQkQCkMKIgoVCk4KsgpxC1gMRQ3+DXIOjA/1EFUSLxOOE7wT1xM+FO8UdxVhFfgUXxTBE9YSiREhEHUOjgxYCncIqgZ8BJkBJf7A+qH3Y/TA8ODs9+iO5eni1OA435Tent5E3j7dV9yG3EHdY92Y3SDfwuE25FDm4ej+693uRPGN8wP2nvjx+r/8iv5XACAC9wNeBTkG0QaZB4IICglLCeEJoAoRCy0LGgtbC7MLPgzcDHQNFw7UDrIPuBAfEmUTiBQVFTsVVRW/FWEW7BYhF9YWORbLFTcVSBTxEmYRuA/FDboLuwmmBxMFvgEe/tH6xvdT9C/wzOvw54zkLeL/35LeZN5J3mjdIdyI2wHcZtwU3M3c6N6J4fPjUuY26V3sB+9A8Vbzl/Xh9wP63Pux/Vr/7gCcAuUDrAQ3BSIGLQeTB+wHkgh7CRsKhAqjCrcK7ApGC/0LpAxXDREO7w7QDwcRshJGFF4V4xVOFtQWcxcoGI0YlBhPGM0XaBfnFu4VaBS+EvMQ7A7dDN4Kuwj8BaMCB/+3+7L4RPUX8crsx+hL5WPiDOBa3uvdIN683UTcBtv42tfb4du72+vcTd/t4SjkpebD6QntkO978XTz0fWL+CT7LP3i/lgA6wGnA/4E3QVDBuAGugdHCHsI+gjKCXgKnwpsCkoKkgoECzYLXQu2C4MMgg23DtYPJxGyEi4UWRW0FRMWxRaoF2IYuBi2GJYYVxjnF2UXqRaxFXkU8RL4ELoOkQyaCnYI3gXWAn3/T/xA+bn1wfGp7dfppObp43Dhv9/133vgLuAs3o7cOtwt3XbdT91R3gPgJOIE5CHm9uha7CzvRPH38qP0/Pb/+cz8iv7G//8AmAJVBIsFYAb8BoUHQghGCfkJSgo8C64MYA0vDXwMEAy0DAUOAQ/nD+UQbRJpFBsWYxeVGKYZtRqHG/AbSxwjHUceDR+LHr8c1BrcGTgZQBiXFpwUIhPfERMQAQ1VCbYFXwKk/jv6v/XD8QXuBems4u3bGNfu1A/U5NSt1vPZuNtv2UfVFNS/2CLhb+gS6yjrueym75PyVPR49cr4ff7MA4QG4AZkBK0CqAE8AWoBrgLRBLUGWwZYA2z/Cf0//QD/ZACQAFcA8wBUAg0D7AE5ACAANwN0CNINphBXEb0QGRAWEbUTvxf+G4oegR7uHJwbXBvLGzUcDhwBHIAc3hxLHB8aWhZXE+YRtxH/EaQR+A/vDB4JkgX8AuEAQf7M+kH3xPNv8CXsvuVj39DaQ9k52cjZ/duE32Lh9N5b2FbUftkA51Xy2PS17g3pMunO7qH1evmd+of8tv85A5IDogCe/DH86/7hApcEygPNAUH/hfxK+q75bPw7ARgEEgPs/gr7ZfpP/XoBTgTzBEUEwATYBi4LTQ5mDzIPaRAWFNcYTBwJHekbRxoIGhQcqB5TIFEgEB/hHWQdOh03HQ0cshp7GNwXkxcMFxUV4RGIDtYL4QpyCu4IBwbxAZ791/mY9pLzVPAk7NvmyeCz3NbaVNrK2Z/c/+Dq4QHfAddW07nbqOqk9IL10u6K51fneO/1+OL8Rf21/e7/+AL+A1QCZAAYAJACwgbdB+gEVAEL/5/9pvwc/XD+pwF8A4sBB/7o+v/5NvxWABoDEQOrAcoAKQGUA/YHzgzwD50QORAEEsQVGBkuGzgcpBz9HE4ediAhIPge+h0RHnwfIiH5IPke1hubGZAYxBj7GEAYdxYmExQQfg30C1wKKAh4Ba4C6//2/EL5gvTd78Xr5uc35O/gR90x20TY89nn3vjhGN+616nTeNka6dnyNPMy7H7k+uPn7Zf5VP3l/JD6KPt8/qcB6wLMARwCBgOgBXcGeQTRAL793/0u/vz97/4NAKD/O/0I+oD3G/k1/On+ff///Rz81Puw/an/uwFXBbIJKgy0DD8NUg4EEk8WSBpXHPEc1RzVHA8eNh8eH90fXyGCImoi4CA0HiEcvxxJHkceuhxIGqEXdRU3E3cRDBCTDk4MiQm7BmoDZf+o+6n4vfU28sftoehl4xffTt3H22raS97H4onhYduL0zjVpOLG8Bb1le+i5qHhnuds9Y793v1H+zj6D/yg/0YDDQTEA3wEDAZ6B9YGNwMO/0n+ff+k/4AA/gDd/9D81/iY9hH5Sv1E/5v+mfuG+LL4P/y6/q//lwELBZsHOQhRCBkKyg4cFJQXgxkTGmIaeBt5HcEfISBwIH0hIiLgIaggFh+IHiYg/SHVIAIeRxutGcIYcRdpFX4TehFUDksK3QZiBCsCVv95+5v2nvEK7RPo2ePe4H7e0tth2kDg7uA13NTUntM/3AXqMvLj7Rblmd+75JvxZ/q5+w/6FPmT+ef87gHhBCcG4QZ9BrYGSAb4A9kBbgIgBMoCuQJTAUf/cPxE+sv62f1hAGH/m/v/98b4A/0fAGgADAC4AfMEbQbzBUAHQwsfESwVZxa7FSgVvRahGpoedR/XHuAdGR1zHbQdmh0LHgcfNh9cHSwa3RjwGMAYKRcnFewSAxBxDAkJ5wZpBc0CRP5g+R/1u/Aq7MXnzuOx4PLdwtv44dnixNu30zbUN+Aj7njwk+i94MPgYOro9q/7evdi9R32qviO/kcDSQSRAycD5QOmBAsD6wB1AWADdAEGARL/RPwc+sD5xPtY/kn+wvpd9iX1ivkj/1X/+vvT/JAB6QOaBAsGiwk6DiEStROEE6QTtxWHGcYc5x03HTQckxsTHT4eLB5FHnYeSx0HG9IZkBmrGMIWvBQzEzYRmg2TCf8GmwXvAt/9AvhH9FbxmexN58zitN/K3O/ho+Sd3v/VddS03r/sB/CF5yrgtOGR7DH4zPq49jH1kfZP+g4CzAZDBRYD9QLLBfEFcAO3A1MF8wPJAhkBQv5j/KD8z/4WAAP+z/mo9gz4a/3i/7z82/p8/o0CPQMjBBYHjgu1D1ARbxH1EUoUXRiGGrEa6hk/GeYZbhxnHSMcrxvyG5UaSxmNGUEZiRaqE7YSQBFIDdEJoQcmBi0CXPyU94n0fvGo63bmDOMS4DHhuOgz5CfYGtVs3ivxr/KI5tHe2uKR8aj6m/gS9hL1iPjs/YUESQYSBPoBUgRGBkIE7gIQBdMEUgL+/0P9v/vL/G/+z/69+w73ffVK+XL+f/3++Y37wf9uAZ8CQQb+CucNrA72DxoSwBVKGc8ZpRmZGUAZcho1HDEcQBu7GsAZ5xfzF5YYnRaeEogQdg/sDCEJ1AXLAib/4/rZ9szyn+6O6bzka+G131rnx+ag22TTxNnw7Fr0Q+jI3k7ipO9g+SX51/Xx9J33Kv6HBOUFFQPeAQgEXwSCAk4E0wWVAt3/Dv3G+3b81f0+/t765vU89HT40v1v+yT4YPqS/qX/lAEPBisKHgunC84NxxGtFSMXsxbjFjIXaBj6GUUa1hgyGGIX4BWYFWcWehSuEHIOJQ06ChcH2ATDANf7w/ab8y/xruzJ5vHhSODG5tjo/N9E1p7Z3+wv9pfqI+GQ5A7ytvq3+TD34/ay+TsAiwUZBmADQAOsBBkD8gIBBlsFjwGY/V37hvzV/Rf/5Pss9vrziPdv/Rr8R/iP+DP89/6BAYkFZAh3CMQJjA1nEtYUFxU8FLgVJRcNGKIYDRhGF6kWLRVUFC0VNRV4EEsNyQvdCQEHKwRMAD77Svbv8orw2OwW5xXilOC259/okN7x1lrdu/Ar9PHngOE/6VP2G/sY+UD3FvgT/JUDFgZfBHkCDQQCBMQBsAQtBuICEv+0/EH9mv4rACz+rPfN8zr3Kf7W/iH6nPi++y0A+QOSBnEHFAf0CFsOPxMXFFQSphJpFa4W/xZkFqwVIRVVFMcSXxJVE+URQA6XC2IJhwf2BMgBe/w0+Cj0EPGI7W3pm+Sh39DlL+t54hTaOt4N7wf11uol49HoxvbH+zf6Ivmf+GL8tgPzBS4FqgLdAkkCggFnBaYFqQFc/Qz8V/2M/i8AHf4D+HPzPvhQAP8AhPuD+b/9/wKTB4kJ0AkTCCYKwhASFWYVYhI2EvQV9xX0FpAWLRQBE6MSuBEvEScQAQ7OCv0HaQVGA3wAN/yG96jyge5I7Djq1OQR3+blgusq4oXaBOA08y/3v+qx5V3tYfvn/Ub8O/um/HQBJQeaByAH1AZGBmkDcwJgCPcHNwOY/rb9F/+d//8A+f4B+Qv27vm8AOYApfwC+6/+sgMOCQoLVQrYCEEM7xLuFYYVHBR/FAsW/xYAGIoXShV4E6kS5hKEEaEOKwyLCq8IjgQfAW/+QPuZ9gPxv+yS6bDnoeOQ4GbnWOm138PaSuOf+DD33+mU5jLxJv9fAFL+7/zt/sEEUgpPCpAI0wjjCBQFiwPfCKoIpwNe/qj9Nv+Q/2sAXP63+FP1e/k2AAgAn/ul+pX/VgPEB70KFQvKCSsMpRJWFgkWRBRKFSEXnhdYGOEXDxZJFMATPxPOEoMP2At9CQUJyQYOAor9FPpc90bz/O1o6anmrOMt33jk3erB42PZ0dya7az4q/Cr5yzqmfj9Ao4Aqf9g/1kCegg0DLoLRAqIC8IJPQUsBlQLBQlPApH9VP6Q/5//AAAO/Tb3i/Ty+M3+hv7P+tn5w/1kAc8F3glJC08JdQqUECgWXxbkE/QTYxZRGBgZRBghFrkUDRUgFXgTaRCyDZELigk+B14ENQBD/Iv4v/Q+8EPs2eg95SrhDN0J48DrCOM32JnaGetU+TnzFukL6Xf1ugFVAzcCwf8lATwHug1uDskMZwx5DKUIvAUKCrkMkQhIAPb75v19/6AAMACg+1n1CPQo+j3/RP2H+aD5d/0hAdkE0gjeC20KYwq7DgwVHRiyFmcVahYzGPcZJxvpGY0X9xVuFgsWehS+EeQOHAz0CdAGqAOFAHD9I/kv9OrvXOxz6T3lgOBf3A3hrOxt5SvYCda943X4hvkO7dXnpu53/GIE3wR0AwcCdAMqCpkPfBC9DoEOlA5zCR8GEQv1Du4KCQOF/a394v46APkBrv4594byp/U9/ar+pvrq+M76kf0pAKME0glFCy0KfgupD4AUEhd7F4MX+hcvGIsZDhseG64ZYRjTFxkXQxXDEy4S9g/dDZMKcwYPA8MAhP9J/Nn1U++H7M7rfOiC4R/cD9z95gnuR+Hl0tzTZOeU/q/7v+x05QPsafzTBloIdAZFAnoBdQcDEEoSvxD+DuIPoA0nB1oFDQzBDlQKQAE5+736x/tG/34C6v669V/uzPFo/GL/4vot9xz5iPzQ/QcBbAYXC2YLBAqyDNcQXRQcF80XLRgqGPIXOhmvGuwa3xkJGVYYEBcmFZETmBJxEZYPTgzPB/MDrgGgAD//W/sk9T3veuwD6zDohOHd2vHYZOLQ7zfpWtZyy8HXk/N7ASH5gep55UPuDP1nB+oKNAnoA3EBfQbcD5QTHBHwDpYSdRNsCs0CTwZbDXMOBwjg/+r6i/gS+WD9bgEx/y/2gu2s7m34Gf6c+f71Tvj2/C79V/zCAPwH5AtMDKsMzA66Ef4T9xWBGPQaaRuqGcUYbBn0GYgaNRsmGxcZkBUSE84SGxMwEpgPvwtBCAwEzAERAXP/9fs591nzkvBd7Y3oiOLA3XrbRNun4onvmunN15DLstJX60cAKADY8TTn/uhJ9RYCUwlFDdMKNQXVAlQIiRBtEqwO9Q0QFDsXVgy8AFwAawfBC1QJ1AJU/IL30fNC9Jv6ff/m+0jyiezE78T2jPg/9LzzKvq7AEL/3fvg/JIDVApaDvUQwxJcE2MTWxMXFkkbHB5XHQAbjRmkGQAabxk/GYEZ7RfBFo8VghMbEHkMKAsHDDoL5QZLArT+1PwO+zD4CPXE8obwxuz15cvf/Nux2e/YEd857cTxn+AOyyHI092d+CQEY/1o8BjqWfB4+rkCCAndDUcO6AooCRMNKxFADEQIHQ7bGeIcsBE/AeD5HABLCIIJ+wXHAML6cPT175bwvfaI+pP2tfDC70Tz//TO8N7rJvEM/ZkEtQOC/3b9DQCPBm8OQBbUGa8ZzhZRFBwVYxkEHmQfXx3pHMwcQxs7GDsVGBR3FRYYshn/FqAQGQo0B5AICgpACAQE9AAZ/8z82PjH8wrwi/Du8ZjuJeeP3+XZh9Zc1erVd+az8tXp29edyr/Nb+Tc/W8Bd/vw9Qz1m/fx+sX+MQbSD7cREhCCEIISghD2B8gB9gnlGkUfoBTIBGP7RPzx/6L/X/9U/xj95Pb97r3qne348PPuTOyo7/31Z/c/8GTnEeiN9a0ArgT2A8gCMAR6CIMLnA9TFVsaphzdHOAcRR2VHZQazRisGt8eYSF2Hy8aiBMSELEQHBRBFucUaBDzCsEHvAWjA3wAaf6J/vH/+v+E+0XyU+tP6hTsW+w+6WnjxtvC1PzR0dHi3Wfspu6n4RzTassr24bxMv1O/aH6hPuC/YD98P7HABoI0A67Em4VYheBFK4IIQJtB5QSRRnpFLQIBACb/6f9PPkd9h72KPfy9aHxUO3N63DqFuYv5GHpYPJd9+fz4uu+6Yfy7/lo/88D5AemCzsONA+WEJwUNRkiHJce7CDaIYMgOhwGGYIZIx0HH8sdABoyFcIRZRELE0sSVw7nCrUI2AfYBlUD0/4//Pb7Vfzg+rv3afPm79rua+57673lOt6D2QnYzNih12bYr+Md8ZrniNnxzzPZDO/b/Sv/k/t1/BQBmgEyBJEDngf4DMwQ2RW3GwkbLw9qAgoDbw4VFsMRVgi0AgL/APmI81Hyc/LW8ELunO2X73TuI+ee30ngDuqb9J31VfDK7iX12/m0+7H/ygVeC9IP1BNLF/EYdhh6F9AZTx8TIrch/B+HHtAdQxxtGNUVAReKF78WphXzEScLsATAAi4FngfuBSEAW/ww+wP58vU58xzz0PKC8Y7ugurJ5WLgq9v+2P7Xatgt0prTAOuU8c/nsdjJ0aLeavJq+1v7t/32BeUF7wPL/yYBkgqHDsAUGx1MHp0RtgJq/skFew1HCtkBFAAOAPP6rPEr6RTmwub26iPwl/IM7PngzdtF4s3sU/EI8JjwB/ex/XD+Tfz1/aIFBA3pE7UZfRvnGPgWLBiHHNwedR/uHzEh+yAsHaQXzBLREDwSjRSMFfgPaghqA5oCcAIDAIn9Av3aAJ7//vg/8sPv0+9K74PvR+4P7S3ou+Ly3xzbFNfh1I3T69hy6r3zjulo2QTRp97m9FX7efpq/psGawkQB8z+w/+dBZILpRY/HloYEQeS/CcAwQkuBwP/OAFUBwQFWfew63Hmc+fC7IHzevmz8iXoMeVm7AbvIevC6zH3HQVnBtj/NPoP/v4DGwz5FGwZahvpGI8Z9RpgGdgW9hjjId4m1iM5GlkTOhCEES0TsRDnDlQOUA+ICsj/wvcj93b7Zv0W/LT4YvUW8XLt++rV6mns1u1b7ebpqePq2oLXM9gL10PW/N7a79rxEuYW1RncpeyO86f0hf0dCfgLZwJI+58C/AKVBl8QTh2EG3ELIgOoB+oI4/5p/NsEdQozAw33Ru+C6sbnSuy586/zNOz36anvgu7Q5xLk6/Ah/C//ggCfAdcEJwM0BawL/BK4F/QbQSBgICIaaBchGWccxB12HEoaVheQE2QPhwmHBdwEKQVKA7v/6/ww+pH2bfKq8rX0nvS/8/Hz2vQe8pXvnPDZ8pDxuO/p7zDvw+rw4zvftdx32F7al/Rg8k3sn9w53Yjsseuc7Xv2GQGMB8v/WQAb/sP3efxWCTATcQ2BCbEM9AudAAT6yf+AB10IYgehA2j++vO18/b4vvha+AX+MwQIATz4V/Yr++X7yv6GA6YI9AceB+EGtgUTAsQDXQqjDdUNMAwhDE4KEAePBqsH/gnODEAM5ApjA8gBQQENAD7/cQBMASkAQ/4I/hP98/iq+UP9FAAV/0L+3P8qAA7+NPyu/WAAmABZAAj+3vos+Sz5k/dY81zvku1d6o/nDutH8PDv/uq+5lDry+rk6g3tsPIK98n3y/i3+e/4Dvp2/i0EQAZUB4AK7Qu3CbYHAwiPCjYLfwuIDF8K/waeBEcDIAE3/9UAxgE5/7T72Pke+RD4zvfi9xz49fYb92D34vZg9TH2NvgQ+tz5rPrz+rD69vmF+5X8ov6j/0wA3QBc//z+Z//qAbMD+wPdArQB8AJ+A8gC/wFTA5gEJAPfAqUCSwOFAroCrwPQA+oDngP0BGIFewVhBtAG9wafBpYHhQdLBzYHNAeiBssFUQYtBmIEkQIZAk0CBAHp/gX9Bfy9+s75gvid9rj1gfWn9S70vvLx8mXzTvPS8n7z2PT+9Q32wPWo9UD26fdu+Tv6kvop+gL6mPnd+en6vfsI/LD7JPt6+5786f1O/vz9/f0Y/gX+nf4B/2b/CQAZAWQC5AHyAG8BOwKJAtsCNwShBUoFXQV+BdIFLgYcB/gIrgnUCYEJ7AkyCqIKdwvxC2cLcgrfCSIJ6gjiCHQIHQcwBc4EwAScBEED3AFYAZIBCQJpAVoAIACTALIAw/9x/4wAlgGkALL+8/1n/m7+wv3V/Ov7GvuO+kf5+/fv9uP2BPc+9rz07vOS9JP0svN682T04vWQ9ob2GfbN9jf4lfm3+i/8uP0L//L+K/8fAPABegNeBHwEEQR7AwQEnAToBLcEXAQSBKYDAQO4AgoCjwHUAQ0CtwHhALAAewAlAJkA8gAhAdMAEgGgAZkBYAFKAiQEzgTEBKIE8gRcBdsF/wZIBzYHdwdpB2sGYgWABVAGXQbUBJcDvgL9AVYBKwFGAdMAPQBX/9j+K/+j/vf+b/+q/9z/igD8AMMBaAIjAnQCuwOKBT0GIgbOBQkGqwZvBxoISAgqCPkHlwfDBjIGlAbkBuUF2gOYAiQC+gCA/zX+z/yZ+wn7dPpZ+c73Lff99t314PRa9Xj2dvbm9Sz2ivfW9yn4UfmL+jj7O/zQ/dz+4P7//loA8AAuAAcA9gBoAdUAHwDT/y3/tP60/oD+C/35++T7Hfxd+4T65/qJ+477NPuS+7r8jf2C/kT/zv91AOMBewNiBJIEXAXnBi8IeQiZCCEJwQkbCjoKVwpmCrsKtAoUCi8J1AggCTQJuAhUCCQIDQgtBy4GqgVeBU8FiwXjBWUFiwQOBPcDJgQWBJwEHgULBbgEcQS4BBUFDwWBBSUGFQbzBdYFsgWJBW0FlAVyBWoEfwMKA5ECqAFkAJD/G/8X/r/8APxx+5H6qPlb+Z35w/lf+Rn54PgC+Zj5sfrL++D86v3D/lr/oP9AAF8BsAJxA/YDNgRvBDUEPQSHBFkE+gN4Ax4DawJTATkAaP+e/sv9+/x5/An8gvtG+876KfqB+U753PlH+lr6lPod+4j75/v3+6L8zv3B/r3/dQAIAbQBNgJLA00EEAXABRkGtQY9B9oHjwjdCMIInwhdCEUIRAgaCOgHPAc0BiEFWgRLBCAElwOhApsB+gCWAF8A9f/C/+T/4/96/0b/h/8NAIEAzgAkAcEBMwK9Al4D8QNoBLUE2QRtBUkGtQbYBvkGDgchB9QGOAYuBnMGmAYvBm4F6gSMBCgEwgMxA7ACNgLMAZsBMQGdALT/HP/Y/p7+L/6M/Sv9K/0p/e/8nPxA/Ov75vtU/PP8aP2J/Vj9TP1r/Vj9pP0X/uT+Jf/+/r7++f7L/o3+bf5x/p7+dv4x/gX+0v2G/UD9Gf0Q/Qb9x/yh/Or8Ev3U/Fn8OvzH/JP98P0B/hn+Xf7n/oH/KwDaAHkB/QF3At4CFgNMA1wDkQMUBH4E1wTsBBQF7QTHBIoEaATJBO0EFAVGBeAEWgTrA4MDRgNoA0wDfgOSAzgD4QKIAlgCYAKBAo0CfwKAAoICSAI8AkECXgLFAhIDTQNsA5cDkgNvA4MDvgPdA/8DBwT7A+QDtgN9A2kDOwPUApoCpwK4ArsChgLKAUEBygC2AJoAlwB6ADcA3/92/xz///7d/nn+Pv5T/mf+Y/7+/X/9If0A/Rr9cP0l/jD+Af0n/eX8AP1S/X/9dv1j/X794v0a/oH+Rf5s/rn+8/4+/4//y//3//n/kwDvAGEBIgHpAAEBeAEXAmYCJAIHAgUCMAIWAvcB+gEiAjsCMQIpAssBaQHcAMwAJQFnAVoBJgECAd8AhgDGALMA4wDAAIwAhAC2ABIBSQESAfEA9QDoAAgBRAFqAV4BJAH+ADgBiAGMAW4BbwGzARMCOALrAccBtgEIAjsCVgKeAg0DOgPkApwChALNAvgC6QLkAgMDCgM/A/8CwAKNAmkCUQI0AiUCXwI/AsUBhAEcAesAvABhAB0AFgAWABcA6//N/7H/fP8//zT/VP98/7//if9Y/2f/lv/A/+v/lP+8/+b/FgAdAPn/1v+3/8T/gv9J/13/gP+L/3H/Jf/j/sT+xP7g/r3+jP54/lf+SP4w/u/90v25/dT99f29/cr9qf2D/Yf9e/16/Yn9fv1g/Vf9UP15/Zz9rP2+/dL9uv16/Y/9v/0g/nP+k/6Y/rD+5f4x/0b/UP9n/6z/DQAhADsAOQBuAIEAigCWAJkAqADJAPoACAESARgBKAE/ATcBRwFMAUgBOAEuAU8BjgGgAdEBzgG9AdMB0gGzAakB2QEeAi8CMwIGAv4BLQJcAk4CBwLGAeAB7AHaAc4BxAGiAbMBiQE4ASYBEQHXAKcAtQC+AOIAwwBxAFAAZACMAJ8AfQCEAHIAcABYADsAKwAiABEA+f/m/73/8P/h/4f/Kf/7/h//E/8K/8v+mf6A/lb+Ef7j/Yj9o/1K/Rf9xvyb/LL8vPyo/Hz8VfwZ/P771fvI+xX8gfx0/G78YvxW/H78j/yd/O/8Zf35/Tb+Tf4s/v/9//0Y/kX+y/4W/z7/oP+I/2r/Fv+7/qb+oP69/ir/Kf8L/+r+1P63/o3+Yv4o/gz+h/6r/or+ov6n/pD+of6Z/rj+kP7z/kT/TP9v/5L/gf9s/3v/Yv/4/z0ALgAAAPz/CwAaAD0AUgAcABQA///U/+T/z/+d/4P/g/+H/3z/Uf84/+v+1P4K/wD/zf6G/hv+VP6u/rb+rv5Z/hv+Fv5t/pT+Of7a/dX9Nv7q/oD+ov5l/lP+Vf6K/rP+q/7I/oX+5/7B/tr+iv5t/kH+9v0w/nj+MP7x/cr9hv2f/Xj9gv1W/R39/fzI/P38H/3Q/Lj8HPwe/Df8Uvzq+xv8Pfx3/Hf8U/w//IT81vy4/Bf9Lv1t/YP95f1H/or+wf5j/j3+bP6w/tL+6P4b/+z+zv7g/T/+wv0C/sz9uf3r/cn9Zf0K/eH8vPyJ/GL8Ufyp/AT9+Pyj/HD8jvzm/O383/yV/aT9z/3Y/fz9XP64/v7+K/9t/+//QgBvAC8AtgDdAAoB+gBMAYgBhwGAAXwBYAFnAUkBQAE7ASUB+wDQANIA1gC0AHEATgCJAPUAS/8+/sn+D//P//v+A/9N/33/WP9L/7T/CQDY/2IAvgC2AIsAsAAEAWgBBwH7ADUBEwEmARQB1wDLAHAA/P/k/5b/Uv8D/9j+7f4y/yj/oP+L/zgA7QBq/xv/1f/Z/ywAPgLjAYADNgLhARAASf5D/ir+pwA9ARwAmQAJ/oD+4P0x/Bn+eP8hAKUBiAAoApIBQAEcA38BSwEAABMAawJEAmoBSQKJ/7H/sv6W/4b/6f6E/hoAt/+F/3j+mv6p/XP8jf0H/oX+4P8yAKEALgDy/rz+sv+7AI0BNQKbAl0CywFJAegA7gCqAPYAHAFIAT4B5gAnAEcAB//4/WD+qv4i/gP++f3q/UP+Xv2T/Bv94PyT/LX95f5G/nP+9f1+/vz+oP7V/hwAtgAqAW4BhQFgAd8AOgE/AnAC0gIBA8oDEwTgAs8CoAJvA0kDJwP6A3AD+gKfAowCIgKQAWwBbwKEArQCtgLuATYCtQCxAaABgQJJAVcBvAHjAUsBuABrAF8ALACXAH0ANQBB/wz/NP/W/gH+M/3T/Fv8L/uH+ln6jvkN+Pr2dPas9ejz9/Kh8j/xpO+97SzsQ+uw6pvt5fAS8oLx7/DQ8Rr0t/Uh+Db6LP0t/1MB8gLLAnACbgMuBjIIygi4CUYKUwohCVQIkAfWBpwGKwdeB2AGRQYJBv8FjgWPBMAFggZ0B0IIfAiHCWAJegjeCcgLAAwPDQMP2Q8LEOkOxw5mEJMQ8hC0ERMSuBAfD6AOCg1IC/kJeQnDCjwIhQTTAlQBaP9x/8D+g/05/Fj7/Pmz+BL2efP28zPzC/EH7zztSepm6EzmPuN+3gPcH+P464/tHeoc5z3qxepd7zT0jfpe/7UCUQVqBxUDIAIcBq4LbA5VEBERoxATDPAHlwZaBW8EYQW5BmUESf+u+9L48fXT9cX2Jvku+Tz49vdv9o70Ffb1+S79kf+NAtEFBQcfB5UI8wq/D+AT3hYHGckY3xiCGS4ZURhgF5oYFRfeFDAS7g04CzMKsAeMBgAFGgRYA8gAFP75/J38ZPzJ/Dz9Jv1c/B78p/sZ+wT5H/lB+hr3O/ML8AfsKeeF4hjeX9nn4p7sw+xa5AXhoOTc6LjqnfH8+Az/dQBwBaYGMf5//18JUxDpETsS5RNNEQQLdggqCFYG1AUeCdoItQBg++r45PR98W/yKvXC9dnz4vRE85fukO7m8sv24Pj2+83//P/d/64CaQZvCbgMTxIeFyMbRhrwGVgZtRoNG34bZRv2GZQXBRP9DcILSgnlBgcHbAciBdMCQwC5/qv9mvxo/QD/NP+8/dv86PoD+eL36PVf8sPvPu3V6hjm699C2gLf+u0z8ZHulOWi7D3viPEA9sP+iQGtCegNUxKfCcIFEg2XEzIRVBPHF48VaBCNDRoJ/QKv/vcDMQVw/wH8Vfvs9TTw2vDg8czw5fJW91z5nfYf90n5y/sE+w4AoARnBi8IkgssDXgPARGJFXQXvRchGVcZthd3FwEYMxSZEQUQyA7rCpAHeQU5BJkBjABKAEX/G/10/F38ofvR+kX8cfym/Lv8qfxH+yP55vaE8+rvCes557jj7N5P3Mfpc/G08bLmkehq7Q/u4/Gl+uUCCggyChwSzREwB4gIag+HEhoS7xd3GBoUgw6YDGgIhgKCAHsCCgHW/rb+a/4W9yfwF/EE8o3yoPT29yv6M/p6/A78i/sN/PcAggZgCukNIBG1EuwRwBSlFDMWaRh0G9YbNBsBGvcYfROgD58MyQsmC4IIsAe0Ba0Chf6K/Cj8ZvwY+5X6Z/rD+qP6zfnZ+Fn4d/fn97v4YPfK8tjsTugW4wrgz9xh3s7qrfIN88fpr+za6lzs8e9Z96kARQfcDHoQEQ+GCJ4GOQo6DlMMKhOMGG8WLhGvC8gFjwCu/uv/0wDs/kMA2v98/gb2G/IN8V3yZfT5+Df8Iv6r/8EBDAIUAcgAegMvCAcOZxKoFnEZghldGT4ZaxmVGlYdKyBnIX0gnh7uG2sWIxEmDSIMnApcCXwIEgfpBDgBfP7r+9n5R/i4+O75Nftu+g/6yvgC90H1/fPe88XyL/EB7pfqteTK34bcUtzm5FXuCvGF7tfu4/CF72vvGvJj+pD/nQg/DNgQmw1nBxcILQnJCtIH8Qv1EcASZBA7C/YF3P6e+zP6y/rd+av6qPxq/bP6vPVT8rHwb/A28n71LvkL/Y3/xQGWAmsCowE6AlMFHQt0EvsV5RgbG8EdzxqKF+UXTxoMHWQeyB/qHgkdGBp6FRkQBQvrB9gGpwYfB9MFogQxApz+iPua+JT2yPRE9e/2n/cm+H/4hvdC9c3zwPEY8U/v/u3Z7MTqCOc84vDf79/o5zruo/AK8GHuzfPs8a7y0/Kc+S8AhAM+CV0Mww8ZCfUHlAgUC+wJNwjsDQIRTBExDgUMsAd+Aiv+PPz6+9H6h/ql+5/8x/uH+Nv0zfKd8Tnx9/Ge8xb2XPib+hn9Nv5E/qH+6wAoBJwIDQxkEIIV5hgWGr0ZThl9GGwYzRc1GYwaAhsuGpoYzxblEtMN9wnLB2AGnATYAycE6QMaA2EAk/1++2n5dPex9i33lve798D4v/n0+G73rfXY80zy7vBE8Nrv4O0J69TouOW94+niuuQ86ars4+597+PwcvK48sfyC/Tl9tz61v0pAtIFMQlYCEwH2QdyCBcJGgl0Ct0M0g62D1oPpg7zDNsJkgeOBY0EfQO4AqoCJANbA4ICvQDX/hb9UvvC+Uj47fc6+MH5wvwiAPECqwQsBX8FswbqB4YJYgoqDH4OtRDVEe0R1hE2EQ4QRw8YD+YOVQ2WDKgMtQwGDOkJhgcIBhwF0ANFAmkBgwAvAcsBmADX/nD+Mv8C/in6Tfhy++v7ofhE9kP5avr097H1svS89JH18vGh7ujukuwA6S/pxOli6XTovOcD6fDqMOtw6avoveqb7LDtIe+a8bv0UvfG+Oz67/xl/eL9av8iAYICpgRgBg8J7gnbCloLtQuaC4EK/wjxCAcKqAohCRkJgwmxCQgJpwfwBhkG7wOqBN8EcgQPBLIDcAMDBPAEUgXYBJcEbQUKBhMGAQZPBlcITQYhBh8HqAYlBhcGIwbkBqMHXQjyB8YIUggICH8HwQXqBeQGTQRDAz4EvQQoAwMBqgFXBQ0AQP+O/Q/+1/6Y/f77rf0e/AD6HPyw+0z7K/lw9pb3dfdt+IX2E/ds9tT12/Yb+DL3uvld+fz21vcc+cz4nffi9qX3ifi/+CT49/dQ+Kj4Jfih9P73pvd09Rv1a/fl+br5bPiw+zT8Wf3d/Mv7JPxp/f/7QftW/FQAMwLtAYYBvwJ4BssHmQQGBLgF5wUcBFUDTgX/B8oGxwVkBgUI9wfqBBoCigH7AyMD0QPhBHwEvgOKBeMEzARbAtICHQNjAZ4AtQQFBugElgHpBe0HZgXtAw4FdwNRBEUB+wHQBPIGjgZ5A5QCpQYQBZkCVQLxAYcAgAG1Ao/+fP0SAxUB9/s8/Q4CIv0L+hT+yfzc++b+NwFW/kv/mP07A9QCbP4k/dgBTQZmAMX6QQeqBTYCkwEXA2gFfQZJ/LH6cAIRA6v+n/wT/4AAoPvC/AEBV/7i99X46/+CADz2Zvvc/h78Uvnz+hb8IvrZ+Uj9qPWd9nv85f2p+iT4KPmk+mH6VPtb+TT7s/uB/VP+vPsK+635Vvpp/WL+4/sf+oz8pf/W+3b2ePou/T3/s/6e+VP6zwOiA+b2fvN1CrIGifvA9tH+5wmCBef3NPpSBQoIxv20+b3+tAW6Bbv6Tf4vCHD9UgKJ/W/6mAFUAzD3fftmAb8B//wj/nn+9P0D/iT/jv69+N8AxgJ1AksCzwHOAtgBSwDg/jf5xQPVCxsDd/0VBfkJXQTj/Zv/TQMWAFwD7gJ+B63+YABhBkkEWP+z/KD85wVm/y77hPi6BA4GD/2W+Nn8OQESAJb8vfcZ+QIJnQOk9175cwD+//r7nfpc+wb9bADZBTjwSvJFCfv7u/hE8wT5EASW/QTxnPrpBOT8GfPP/+AImvl1+xP9qQMVAkL6ivwgB6gGOPeQ+/YKoADc96oANQXQ+8T4OQMSAO33uf00AQX7A/78/H33WPiJB+/5//Gk/+7/Efmz/fz9svmp/Gf/r/sF/00FhPX7/LQOZvlJ9XMJ4gMYACoAgP1ECREKDwCY/CcEnwhEAiT+lP5gBksI7ACuASQBIAbB/vEEXPs++6INovxc/QwAXwKpAEv/dPwx/F8CMv/W+kUEEQLm/C38UgA9AxH7tAxe+ez3SwftCGrzyfx1BS783vsR+UkEhgO/+uL+AAS/APP+7vpW/NkFcgIy/QADaQJTA+sBlvuyB9wDavrVAOgBTgDJ/QAASwLr/4v+yQKcCBH05fv/CR78afet/4T/4P9x+4QAuflWAuj8DPmk+/0BjPiL9+kFE/+y/DP6bP9bAND8HfqiAXj+G/yfBb7zJv8pAEQFRvbCAJkIuf0k+5gCggURAaf3/QiWAOz8FwWxB1/45QJkBFX6XvjXAhoHWO+JAkkCBPoR/N/8ev0i/If71/qq+fwAnvrD9eP+/gXi9nH7VAX7/HP4MgTzB2b4GfpAEZMC0OvVD/UK0/53/uT+VRHRAKv2EPwUB8ULPPgE/uYHwAOH/KkAGgJX/zABnQIh/Iz80ASU/rb8L/xB/xEABP3v/z35QwdA/zX8k/n7ALr/QP1q+7/99/qkA1cAcPj1+/0BsgIs+Sv9NArlAuHuVgfJAn34AvtzA8L9cvxPBe336AK9AW38vf0x/0IBlf/WBHT3NwHlA3oCSfHkBaABUvze+IYDCf7E9VgEEwLj8i8AwATA+AX7qQci9qgCB/49Abn7KgNUBk32oQPeDI/4RflqDTsGwQA1AVYCGQbd/ncCQPvtAkcD2f+NBy75YQMEAbH8rAL4/ksHkvv0BCUIcPZmCZwGkACw+ScRo/4V/ZkEVQhAAK7/FgQaBWgK//JWBjIObvSEAh0DwwEFA/n+QgXv//ECxf5b/44ID/FhDEr98wBLA9QBovywBBABMPnuA2IAM/3l/l4OhfOP/tsQlPVQ/q0Fgv4NAZ4GA/1N/NANRfYdACIHu/0nAUAE4f1f+jADi/5mArT6dQGvAmr+WP5U/cEE4fV197YNvABo+dsCiv26AUb6rfqSAxD7ngQJAv35fQZU/1P63gs+/wT5ZwpeBlT8swFN/x4C/gdN+H8JoguW9i0IqQRM/TX+aQooCQ/zHQykCd4A7PrSAsAAqQSh/UX/VAiuBtrzzgUqB6v1kgSCBGf9KAFs+s4GPgDi9ckKnwjE+X7/zAk2/LoAlv8n/pEJXvlaCacCgwCs/6EBRwBj/xAA6A6J9xQHXwUJ/GQAJQYfAdXzkQZWCP354PooEiv44fJwGyr1c/KXBN3+Dv+N+ZMCaQz27A38mg6X+wT10Qs9AxD8N/TvEogDbfOJDNICAfc3DakGwfiYCKIF2QRmAOX8VA1D+QT5dAYSBkr7Vf9xDwv6C/uLBroE5/UVCqgEhPrpCEwDnQEs++sFuACLABED3AX8AXkBowExAPkDA/5eAAsEY/1gAXcDfQNA/4MGpgR2+68F+gYw/NcBlAaVAHAD4wNZADIFnALQ/eIHngPc/HoEtQSt8xkCBQWr/U0CAwTsAOgBcgE2BFr9oAAtAgQG6fuj/9MHAf8g+2H/SwNv+x4EcPxYAisBRQeR9iz/0gITAM/57AQCCC76nfrZAmsD0fl/Ax4IOfov/UMEjP7h/IMD5gHI+lYES/4DAnr/VPZ3BYb89gCf/a37VwR4Bmr1wQC/Arf4pAV//EECQf3dAQ382wTe/FkCRwND/gMCawFfAKYCFwcG/WwDZgJmB3b1VAflA/78DwS0AnD9WQM8/10AJf7tBSgBGQRo/Nr+0gm99cMFswUh/NkFFv6L/nAFjvyv+9gMXfHIDe798/sTBqD9nP5WAW0Dx/3e/e//xwVA9QIDCAHPAcP5KwN6Bqv0cP5sCZv74/nhBEMDh/q8+YoOWPx/+BgB5wp2+YD5DgPGApv4VAAVBRz63vwPB+/17wb8+kL8E/4dAy363/4RBeb9WQKk/4f/xv8+AcoCzQItApT+HAH6ANf/Vvv8BP39xAaJ/w0B5wATBnX7xf41BRYAaPooDA4EIfdWCsIDcvwrAL4HlwcZ9yL95wy5/ufukhDRBH384/+FAeoA8fqQ/rL/6AFMBWf8+QHuBBf8RQKC/xcHwfmbA6cHKv6u9r4DkAgf+Uz8EQ0yAPLz0QpBALn7swSZBOz+FAO8++gDcgRa+jj9aQfR/n/7Wv/2/Ef/fwEW/mb7SQmW/Oj4Ov1sC5H0lPkUCNgBbAKg9J8FYAxe/6j0hgNMCYz+yPvA+1MKtgM/9aYAIgj+9A/4IgqwApf0Cf8kCo4Ct/AX/eIH/v4S/f77IwF6BQ36nfqCBlz+Ff33AUv9g/4kBqYAxve//58H5/zR+q0ALAH8/av6mQPcAVf9zv/FBjv84f1+Alv/UfxCBUQAjP9r/DUC6v2mAdMC9vpWAHgG8PvT+5EAdwPFAUj9aP84ALICUP7kAWkACAAS+Z8Dhgdm+pv6wQPyA8UAiPso/WEF1QbP/K38YQFgCk3/x/wZ/pcAmgVw/ij7LQKFBE390P0Q/m0A5f+6AJYDmvxt/agADgQC/1oC3Pw9/5QEOwN8/JH72wFwAvv/FfuR/UgDYgIE/e386/4nAaT+0vz8AU0CF//u/3EABwB5/tH8pf8BA14B7/7yABr+f/w3/2MBhP1q/x4D1APG/yb8HgLIAoEBzP2b/Un/dwLp/z38DP93AcIBxAHN/Tf97f79/zL/Uf0c/ur/AQCG/vH7bP1FAHn/4Pug+yj++f4j/cP9GgDx/rX96/48/23+If6l/iP/af3H/SH+6f66/xT/x/6c/4L/Ev/E//j/rP9u/1cACwL1/ib/pv+9/4z+ef+J/yH/IABXAVABLwGKASUBNwKDBJ0GMQXFAFD+sP9uAasB+/9v//MB6AIZAb3/fAH2AcYDwwMyAu0B3gGuApkD2gJPAvMDRQMYBFEEEATJBXoFlQSmBFsEwAMoA6YBygL3A2sBkgC8AZQAhv9wAAwBQAAe/+X9CP5H/nT/MP5U/aX8g/1E/gD+Uv2+/CT9FP4c/Kv+X/7H/KD7sP3Q/8f+Lf1l/BL/yv62/YP9qv45/jf+NP98/0AAjv7F/Qj+vv5w/zv/y/5l/iX+Ev+gAAn/+/0V/rT/PgDu/jP+4P9zAQwAx/6I/pr9+f1M/2T/j/72/mL/r/+mABEAfP84/6b+4P4qAMf/Gf+M/4z+uv/f/u79pf6X/9z+H/6l/yT/oP9+/wf/6/7H/pz9Y/wD/xcASv56/kr/t/+C/5v9jvy6/fL9SP2Y/b/+bv5v/Of8sP33/hr+Gf72/Tv9OPxk/HUA1v0t/O77i/2J/uX9o/wj/CT+oP5r/Lj8Mv46/tz8j/y6/S3+Uv2n/AH9h/1D/XP8ivyJ/YL+s/0R/hH++/1W/pn9av7D/RX+jP7n/tf+v/4Y/+X9Gf9b/ykA4f/7/vD+4P+c/7X/9P9YABkAc/9O/wkAYgCk/9z/iv/O/1IAgwBMAMr/RP/GABcAbP98/4n/Jv+K/xsA/f9L/vb+EwCj/27+5/6jAL7+Q/7y/uT/xP+q/gX/qACOADr/b/40//n/rf8cALr+DwC9/3//v/9zALkAWf9S/2QACQHT/9T/fgBPAHUAdAAiAML/qf8DAH0AiwAiAJQAuADU/2z/Df85/wIAYwAtAEoAHgAwAL3/m//w/73/M/+J/58AOQCK/7z/9/8//xP/lf8YAFgAhv8z/ygAEwEVAB3/b/+IANT/4v5O/3MAlAAkAOb/IwC3/2n/nv+A/wT/3f+NAIH/uP55/93/d//M/of+d/8M/+3+iv6m/kj/Hf88/oX+gv5m/s/+Ff9O/z//pP7u/TD+Ff/3/lT+Iv4r/9D/DP8D/pj+/f+t/1H+8f1W//X/9P5G/kH/FP/t/vv+Af/C/sH+Of9Z/4/+q/4J/2b/z/6G/s3+Av/Y/ob+Nv4o/ob/iv65/Xb+bP8L/wj+d/4UADb/g/6H/n3+rf65/vP9dv2d/lL/1v4p/vP+jv9T/8n+Bf+w/8X/e//H/h//Wf9k/8T+a//0/9T/pP+5/4IAXQAGACYAJQDO/9H/1/9X/9X+Pv8dAAEAPv9W/13/5v+C/zH/v/8TAHT/1v6e/g8Aw/7Q/Rj/BgDT//b+4v5B/xj/Cv9O/4P+2P7k/8T+jv5E/xYApv+5/tT+f/+V/7j/6v7W/2EA5P+M/u7+CgDt/8b+tP6+//P/IP+v/sv/GQBm/zX/k//L/6f/gf9q/3X/m//E/8D/jf/D/0oAEAAC/8f/qwDb/7f/MABAAOr/7/83AEkABgDN/0AAugD1/+7/eACbACsARgDWAF4AmQDcAJYAvwCKAFsAcwBdAKEA8QCDADMAOACpALgAZQD9/6sA1gCJAB4AsQA4AQoBxwDXAA4B5gDAAEMBOQGoAO4AHAFNAZAB4wHvAQECvQHTAa8B2AGlAe0BawLxAWYC3AEIAlECjAEJAkYCzAFqAWcBvwF2AUEBVAEfAaUAUQC0AN0AFQD4/6wAfgB1/zb/3P9a///+y/7p/h//mf54/tn+5P4D/tX+5f6Y/pr9s/3O/or+wf3W/YH+pf4r/rP9nf4I/kb+o/5b/q39TP6z/87+uf4K/ycAIv8x/9r/6/8ZAGkAjAAfAQUBCQGEAaQBFwJ1ARoCfQJhA3cC4gITBJwDtwNjBLcEhARbBOgEUQQqBK8EJAV9BFoEwwREBMkDsgPVA0kD4gI2A6ACnAFPAfcAMgCJ/yD/ov4A/gX9P/y2+4/6Y/mn+Fn39vU69Qj1/fJ78RjxifCG78Dv5/BI8Vnx+vCS8R7yuvIc83v0C/a99lz3Mfkr+6z8R/5PAD4CywPCBNIGdQj5CYgKrguADXwOTQ/cEOkRxRJ2E8oTWxRwFPoTxxOaE/ESRBJ0ESYRuxDRDxUPyg7YDTEMOQuuCnAJngdIBj0FtQMaAuUAFwCH/vT8GPt3+bH3IvXG8ujvVO2s6mLp9emy6hrq6+hk6NToIung52rn7ukG7MTqyuoL7iTxbPNU9Fj2yfko/O78mv7+AG4B9AJ0BHAFdAYCCK4Jfgo5C74MfQ1+DQEONg5MDl4PbBAZEPcP1RDXEfQRNhKuEvoSRBNLE3wTPhOTE+ITZhMmE1MThxMNE0wSQBInElgRbw/+DfEMRAsxCW0HfwXtA6QBF/+S/Pf5L/e38xTwyux06gjpRugL6KrnKeZF5dPldOXp5Bflx+XO5tznwujo64LvH/Hc8qj1jfhX+mX7Of0L/0IAhwGsAl8DHAUpBiwHWggeCRMKMgo2CksK0grTClUKbAqUCgwLTwyDDXUOAw8IEAERFRFAERYSkxISEl0SdBNfFM0UyxTsFDAVhBQPE2kShhDqDq8MegqlCCMHJAXrApQAV/5v+wr4+fNm8CDtE+n45Xfk4+Mt5FTkOuPv4ZPiyuN74g7iZeO85WXmDucv6kDvXvKi8p315Pk3/BP9p/6MAKoBewLnA0gFGAbSBkMH8QdHCOsIggk+CQEJ5QhLCWcJXgktCdwIbgnNCb0KMwxADaMNsA56EIYR+BGhEikTbhO1EwIUAxWSFR4VlRTyE30T6xLlEcoP+Q1XDGEKLQjGBeEDSwFR/sf66vfR9DfxRO1O6rPnkeUT5VfmRuct5rXkxeSX5WLlCeT75BHnGuhk6FjrovCj86rzdPWf+Z/8P/0M/ggAvQEaArsCMwS+BHoE1ARSBW4FBQYDB2sHogeOCIgJtgmBCXIJKAlhCZgJgAkxCkYMmg4qDysQGxLnE4cUwxQyFbgVXhWXFAcVxxWBFY4UORRYFB4UwRKCENMOMg3iCg4IoAWcA8YApP3L+h74WvVj8Rnthek250rljOQe5prnJ+Yw5KTkveXx46fjKeW65Tnl2eU36fzs6e6h74HyFPZ1+JT5Vvs1/dr9cv5g/2QAiACFAA8BLgLCAlEDbwQgBQ4GHgd/CEkJXAlZCXIK0Aq1CqgK1AoZC6IM4Q4pEFUQpBFtE0wUvxRZFaUVuhSkE1cTghNAE74S+xE4EVMQzw9BD7MNhwuCCZIHOAXdAnAAHv7B+/L4UPaH84/wX+2h6SHmRORc47/jNeZW50rmrOR55PXkseRo5Evl1uWl5S/mv+hj7L7uf+/+8IP0tvcJ+QD7Hv1D/i//0wAyAqYC4AKWAx0EiASzBJ8F9wafB4kIKAqBCyAMFw2jDTwOcQ6mDjUOxg3iDQYOaw4aD0AQgxFZEicTrxPuE+ATnxOkEmoRsRD4D7YOBA6rDaMMgQu9Cj0KJgnYB0kGvQTeAgEB9/4N/WD7zfn795/1Q/M08Wzuuuqf57XlBOSu4izky+e46bvo6OZt533oA+hs58/oB+oj6WXoKOoX7vDw5vEA8/71VPkh+wX9Wv/jAJABqgJHBF4FjwWhBdYFOwZdBvsG5QfFCKIJLgrWCvMLrgwHDf8M/wwkDUwLMwqOCVwJfAmmCe8IXwhICFcJnQrhCogLDw2GDtIO3w6rD8wPfA5fDA0MQQsnCqIIAAeOBVgEQQNfAn0BSwB0/oH8xvo3+Y/3w/XJ88Lx0u8N7Tfq7OZw44Deodkh1vPTFNQu13LdReSs6f3tx/NU+xYBoQTAB1QLlwxQCtUGawSoAlX/tflb80rvaO1X7CDsFe1e71Xy8/Xi+WP9MwG1BOoGlAeDB+EHNwhECJwHDgcBB/gHpwlRC6cMNQ4bEEERmRA/D0QNMgrBBosCu/0G+Un1T/Kp8JDwKvMF+Iv+BwVpC7ARXhjiHXYgCiB+Hk0cKRi6EY0KcAT0/i36HPa68trwYPHR8jb0EfZ9+Uv9TAAZAj8DzwPnA9YCPwAS/J/3VfOp7VbnzeDI2nzVYNEszrrNb9Kp2s/lwu5k9z7/2gmqE/QZohvIHAUg0SAvGqAODQajAhX/8Pa+7Mjmb+bT5zrnzOaw6rrxmPfP+dz7XwBJBdMILAlkCAEIzglSDFkNXA4FEEETahb3F/4XURczFggU4Q+VCXoCAfzr9Xjv9Ois5CfjaOPW5CbnP+za8t75VwGECTER0BgLH1AjFCUbJX0keiEvHHkVNg/zCUkDmvtw9ZfyCPFs8CXxEvOd9rT6T/+NBP0JWA8REzAVaBYbFt8UmhGjDXcITgI3/Eb2y/BX6/nl2uCQ26PW5dGqzZDJXMZNzJ3UFuF/6QDyL/s9BzUVCh+eI+MktSheMHExpCT5FF4LqAhnA/D2GufB3H7c6d5j3RDYAdou5QzvDvO59Nf5sQIaCowM2gvUCtMN4hBmEoQQhg92EfQUnxYPFewRig/EDgANJQfX/hH3LfFG7D7mkt/H2rvZmdwE4KPi2eZ07gX4ZAERCekPSBe3HtEkAyj6J+knnyfoJToh9RmsEiMN9gcNAqv5efQy8tjxgvGL8Y/zKvgY/owDcgcqDFESQhh7G/YbWBvQGuQZ8hYMEXwKpQTE/yn7EPao8Mrrn+c65KPf+NkF1EDPtMpjxe3B3MUs0bTdWOdq7sz5QwlZGhEowyyLLWky7jnGPpYzeiBBD+gFUgRz+T/lINK3y2fOVtCnzaTKX8603F3rC/D18g75KgREDt0Qdg8CDuUQZxQXFB4RVQ7IDhgTcxbGFUERiw4xDxgQuw3UBl39KPdP8pnugedN3xja9Nm73cri8OSq6anxOP3ZCLER9hcEHigleSxcLjAtsyrAKGAnyiPlHBAVGA5zCRgFIQBE+7v3XvaG9rT1zPXf9yf88AACBG8GCQqWDwMVfhgKGgUblhz6HdEcVRhrE1QPsAtrB7EBqvrC9Gbweu2g6Vjkod6p2YzVHtFMy9vFxMC7vjPErtBf24/mOOtO+qQLOx1qKqgvKDIwN9A8iz8YNucj6BEnBrn+DvQf317OGMX6ww3G2sVJxEnJGta85i7wb/ZP/lMJchWoGo8XoBdlGTwb/hmdFXUSFRJ6FUoY0BeyFVMUTBWdF/0VTg8NB18AA/tX9JfrVuKg2cLXatnj21vd+t/m5rfy7/+yCocQnhfeH9UmaCrXKXom7yQxIzEgQhkQEdwKIgfgA+b/Wvqx+BP5avnP+Uv6U/tC/kgBiwW1BrMHrgo/D6UTIBbZFSkXphm7GzUbPBhhFLoQLQ3UCWYDI/wO9m7xZe1Y6VnlpuEh3pTanNZZ0tLNw8l7xr3D78JqynnVQ+EW6Qfyi/9aEPkfSipvLr8w2zapO8g6uC3SGhQMVgPb/e3u59rmzEfJ28tqzTPMlM121yDoo/aT+/gBBwzmFsgcXhxZGv8ZhhnEGC8U9Q+rDYEOuBBGEZ0PkQ4rDzoRMA+oCWsCr/v49U/wjOmp4dLa5dnr28Hdh99F5N3sovcrAroKLBEcGfUfjSTAJeAkTyRsImIexBj9EpAPngz+ByUDF//2/r7/yf5N/Nr6MP1qAqIEZgNZAbQFvAxFEcISyRNNF6ocnyAzIRsfGx3UHA4apxTyDHgGiAGx/Ab3S/Em7WTr0uqb6PrkluEW4P/df9n20gbNIcoazhLWqdwE4yfqUfl6CskYXSE2KDwwpTgjPG44hSvmHNQReAfd+hvoE9ckzATKjssLyenIf9Ce3m3s1vQZ/eEH8BL6GbIb4hwNHhAdWhoNFT8SRBFFEeQO9QrQCWYKDwsQCXQF2QHG/tb7oveP8cvqd+bu5dblLOQQ44bm3e2K9XH8mAIRCzwTCxraHZ0g/SIdJMwjbyGEHUgZxRQcEPEK8gXGAvH/e/3J+z/9vf8jAmYFCQl0DYYSmxcvG3gdSSCmIi4jUSEnHgIbdBcGEzoNhgasAJ38JPnv9DXxRe9w7tHtu+wN67PozuWo4c7bFNV9zlbJ7cUdyPLQn9mi48rtev7EDYUcaSWPK34xNTbiNXMpCBgDDG8DKfiW5aPWYtBz0pzTNNCb1O3hYvJb+V//9AikFDkasBkJGL0V3RO7D9sJmAV4BDcFJARFA4YEcQcECpMK1AhcBogEQwHI+iPyfOwh6QXmtOFx4G/kr+uE8yf6VQOaDt4YCx8BIzsnGymAJ9oipx5dGvQUiQ4FCdkFSgRuAicA8wCPBKQHtAcRCFcL8A5JEFwPtRAcE0sV/RRlE5kTxBSFFNcQHA2OChkIlQQMAAD8Avnr9iL02fCa7jXtn+oe5hHhXtwC2H/SQs2byVvKOdIS2pLke+5X/dcLUxkqI9kpvS88NHMz7igxGzER6QjQ+pfpAd2A2AHWUdB4zuXVHuIh6o7wsfpPBkkONBLCFB8WqBUOExEP0wvLCXsIlQa3BcEGZAhKCUEI/wYBBq8DAP6D9wLzx+8K60nmfeVs6EXtjfEg+IMBJwySFFca3x96JYYoJie2IyQgiRzwFY8NRwY7Acn8LPj29MH0d/Y6+Lr6rf+LBiMM3RAgFoobwx7UH/wfQR/AHG8YPxMaDswI9wL6/MD3C/QU8QDuMOtq6h3r/ury6YfpYOm75/Xj+t9d3bvbC9tk3pjlvO4y9qf/swrCFsIelSL1JVIpiyXEGGkMXAUR/JPqG9vB1KnT78+yzazULeIH7EfzGP+CDEMVRhgyGSQZAxcEESwJAgQxAdH9IPoB+S37s/75/yUASgL4BJcCvf1H++f5EfbA8EDuXe+V8Szz2/c+/7IGZww/EkAY2RyWHaYcXxpuF0cSggzjB8wDQ/9f/BX8V/0T/9MBygV2CjoPYBKWFH4XBBq9GYgY7xcuFwsV2RGKDqgM3QkaBrwCAgE4//b8Gvt/+pr6O/pd+Rr4I/cR9Wfw5eps5lvhUdoL1JPTydfc22fgjulh9df/CAmqEJUYMyApI1wcqRSTEIYLO/1/7X3lM+JQ2efQxtRX3vLihefX8mAASQjHDFERChaIFugSrg9cDhkMRgjZBD4EBAbUBowFmwV0CBwJzwTCAJL/6vzP9oTwEe4O7sns0euU7871k/u6AHMHvg5DFEQWgRc/GHIXMRRrEKQNxArKBucDUgMqAx8CGgITBTAJ0AomDOgPEhRwFb0V/Rf+GnMbNxpxGaAZhRh3FVsR6g0mCucF6QCd/Iv5Cfe98zLxZvAT8JLu0uwM63LovuR54Gzcbdek0vHRDdav2xnhK+qK85v91QdzEOUXiR8qI34dHhclEyYOpADX8tzrXedr3MvU49id3w3gQ+NC7hH6OAC1BeUMfhP2FQkVyRPbEn4QWwwXBzkCOQBA/m76kfc9+Ov4ZfbM9Hb1nvVb8wXxj/CF8DnuEO0P73Dx7/LW9ej6gQAwBY0J5Q2yEWYUxxWqFq0WABV2EiwQDw5HC/gH4AUmBY8ENgTaBSwJSQwTD08SIRaiGbEbmRxaHS8dFhvJF2gUhBCgC8YFSgDl+wf4efMB8Fzugu1O7Mrr6exC7zbwd+9H71Pvl+316V3mA+MY3wvbw9or3VPiiugx7jLzPPvuA4kJRwyZE5kZDxZwEOoPDxDhB7P7WvaR9efsKOTO4jDm4uSD41nnNO4U8gD2DPpv/hoBlgKxA/0D7gPiA4QCo/+m/mEAIgE9/vn9aACFAXz/vf5jADYBKv5Y++b6evq79yP1zfTY9ET0lfS99u35u/1UAQ8FcQkADqcRLRRjFjgY7hhHGGUXxRZTFdISfRAfD4INzAuLCnoK4Qo+C/wKeAthDOQMFwzNCxYMvAuACkwJ7gizCK8HCwYtBdAEQgSRAtoAp/8i/yX+YfzR+pX6wvqg+aT3avb/9aj0x/HJ7jjtFetZ513imt7x25jaY9qT3Hbhh+bp6GvrAvIJ+iX+GAANBvALLgwtCVUJbAvlCHQBifsT+XX0u+xA57Xl3eNo4T7h1OP95i/qke6g8pD2mfk7/VkAxAEWAgsDIwQxA9gBPgIsA1gCmwF9AvED5gNcAxoEUgVWBaYDhAL6AasAGv5K/Gn7EfqT+Or3VfhD+bD6wvzO/rEAkAKVBEQGUgf3B3QItQiXCNgInglHCjoKogoXDJUNBw4DDs8OpA+nD7cOGw5gDmUOgA0gDH0LcwvaCicKygnTCa0JMQm3CH4IeAgcCEgHVgY4BTMEQwNAAvkAff+W/tn9uPx4+636Wvqb+ZD4UPfK9gP38vbQ9cvzCvJl8GruoOtS6LfkHuJQ4BDgUeF84zvkgeN25JTn1OoO7KbtQ/GP9IH1E/Wo98L7y/1j/Iv7J/26/Yz7EfnT+Cb5bveY9UL1jPaY92T4uflG+6n8rv0V/5IAOgEzAWoBFQLDAR8AA/+X/5YAYQDj/9IAyAI0BKkEpwXBB6AJDgq9CQgKigocCrkIjQfZBssFSwTsAi4C5QHxAUwCxQJHAyAEhwX8BuIHbAglCRkKrApUCpYJOwluCfoIZwf+BcwFCgbIBe8ExASJBbMGfgcjCGIJKQu1DEwNVw2/DV0OWg5lDXQMwQviCuoJyAjrBzAHgwbxBZIFWAUCBaAEWgQqBAEExQO6A4oDCgMxAm0BzwD7/8b+Vf0P/Ef7xPo/+qb5Ofk4+Tv5H/m3+Br4Qfcw9tL0E/Px8Grun+uq6OnlPuNb4TXgueCv4iDlr+YK52vnIenV68Ttvu3G7cjurO9Y77/uNu+a8JzxYfGz8GLxd/MZ9Wz1KPZj+P360Pze/RD/+wAkA9YEHQbKBowGuwU+BUUFLQVsBEsDvAJaA0wEjQTXBFkGjAg9ChYL2gtUDTcPSBAKEKEPzg8iEKkPZg7JDEkLIAolCRAIpwbbBHIDvQKrApcCGwKMAZgBgQKiAw4EGwReBBMF1wVIBmIGSwb7BZwFPAX2BJoE9QMZA0sCwgFpAegAqwDFAPIADwH8APIAGQEkAWEBkQHSAd8B2gEAAksCgAJ/AnoCDQMABI4EsQTZBHwFlQaSBwkIygeyB/oHSQgbCFwHcQbNBYQF8gS+A1wCWgHbAHAAkf9D/jX9/PwP/fH8kPwq/Cj8v/yO/RH+K/5N/tX+l/8NANz/Kv9l/gz+Wf0E/BH6C/hS9rn02vIV8FHtVetd6uLpXenK6MXoiuo07f7uZu+k77nwifIF9PLzPPNe8yL0gPQw9M/zPfS59dX2Ovfc93P5s/vf/X3/swBAAgcE0gVbB5AIdgkiCtIKhwsxDHwMaAxJDIYMNw3kDewNxQ39DZUOIQ9VD1MPgw/ZD/kPyQ+qD6kPsA+TDxgPbQ7pDXkN0gwBDCYLVAqXCfQIcAg2CAUIuAdbBxAH7Ab5BsgGbQbhBVUFzAQjBD8DJALsAO7/8/7Y/Zv8W/tN+ob5zvgS+Fr32/at9r/27/Yv91r3pfc1+Db5S/oe+7v7Tfx6/YD+dv/X/8r/uv/1/5kAzwCsALIALgHQATUCXAKxAoIDegQuBW0FjAXNBS4GdwZdBmMGpwYFByYHKAcpBxkHHAf8BvAGvQZBBqIFGQW5BF4E2QMQA10CwQE4AZoA3v81/9T+pP4z/rf9eP1h/Tr99/zA/Ln8wfyI/Ez8FPzb+3373foM+jX5c/hS9y72P/V89KTzq/Iv8kXzmvXl9mD2efWi9bb2Z/fw9i329PZe+H341vcM+Oz5evzv/Rf+BP+6ARwEFQWpBeIGoggACoQKxAqKCyMMMQwhDHkM8wzfDBEMQgs3C4ELFguMCm8KiwpeCu4J1QldCu8KlwrvCcAJ3Am/CRoJEQgQB0wGiAXYBA8EGQPXAdAAaQB5AHoAGgCg/5P/4P8EAOj/w/+n/27/Af9m/sD9Pf2y/Ob7Ofu6+m36E/q7+Y35jPme+bL52Pkk+l76ffqZ+gz7r/sN/BD8K/y1/HX9BP5a/ub+mP+CAHsBswLLA7cEwwUKBzsI/QhtCQAKzgpyC58LpgvEC/ALAAzVC5oLlgu/C8cLkgs+C/EKqgplCg4KngkGCYUICQiHBxcHwAZsBhMG2wXdBXEGCwgpCCcI/QeDBwEHzAaaBncGCQY7BXEExQMJAwsCGgFFAGf/XP7c/ML75/oQ+vX4t/eY9nn1YPRQ877ygfJS8RzvU+3q7A3uMfCO8+z20/m9++P+twIABZgFfwfeCkMMmQktBsQFFAcHBhoCYv/y/1UAv/3N+lz7kf09/eb68Pn7+lX7qvpn+r36gPqt+jH8Jf7k/pj/jgKSBmAICwiaCIgKFgvlCCIGlgToAnT/RPt5+EH3cPZp9Wr0NPQ59Rj3q/g5+bf5JPuu/OT8FPzp+wf9PP6i/sT+2f+1AXIDYAQbBTUGOwfzBsEEiQKfAboAzf0x+lr4xfgt+eT41vnu+zH/0gFpBEAGpAjTCnsMowxyDOgMgQ1hDY8McAxiDRcOpw2vDI8MgAx1CzAJEAd0BUoE3AKIASgBuwHLArUD4wSXBjMI8wjrCJgIZggXCOYGHwXGA1kDAwNGAq0BugEHAuMBTQG9AD0AWf/B/SX8Z/s2+/v6vPpV+7D8OP78/nv/AgCIAHYAxv/f/vv9zP1c/aT87Pvn+wL8nfvD+rb5sPgb9530+/GD70Tt7Ovt7XTyxvfw+0kB/wbEC+gMcAzOCxQLpQgXBQIBYv44/f/8qPzW/Jz9of1E/Bz7M/uF+iD4XPbQ92X6M/xT/iQC3AUXCGwJQAoYCvwIWAdJBRsDkgGaAIT/wf59/1sAOv9J/Zz8Df2W/JX7wPtq/aP/KgIqBXYIWwsmDaoNGA1UDOIKSAi5BS8EJQMBAj0BVwHOAbgBogBN/7r+av5J/Rv8Qfya/c7+yf+AAbsDBgX4BJQEbwS7Ax0COAAd/4j/+wDEAIr/Xv8c/5D92Pvu+Qn5kvlZ+oz67vsS/jf/LQDLAdACaAIEAbUA+wG7AgcCyQGQAiEDxQL4ASUBTQBU/7/+D//6/5QAJgELAhMDYAPEAgYCMQICA4ADsAOWBBsGbAenB78GKgU+A30AMP6c/Hr7A/vd+5v9N/8aALX//f6//Qf8U/od+bv4qPlv+zT90/4SAAMAoP+a/kr8nvmy9/n1cPTH8mbxHfF98u72Ivzs/qAAhgPDBdAGFweRB7wHCggPCHgHIAY+BNEC4wDK/mn8kflb+Nr5JfwH/Xz+RgEhBCYGfweICDgIjgfXB4sINAhIBzwGPwVKBI8Cjf8a/c/7xPqB+bP4IPk3+jz7TvxE/bb9Of4K/6L/9P/T/0P/A//s/on+qf3B/C/87ft8+776Efqn+Xf5Q/kV+YD5FPqo+tr7pf0w/2cAvwElAw8E/QPCAwMFFwupDtMMygofC+cHZwd1A0EBQgHdAdEAcAIxAscBtgG2A34EowRHBM0GOgofCyMJkgj3B9MG8QRxA4wCSgLkAfgCtQMNAzEBjwA5AH0AqP4T/hf/jgAVAesAcQBsALj/ef6b/FD7RPrw+Yf6sftL+//5xfmG+vr6FvoK+ST6Uftd+pD5Jvlz+ML2t/SO8nfygfEH84P33vsn/j7+Gv+iAOIA8f94AJICHAR9BHkEjAOWAbr+A/xY+qn4Mfef9+X5LPx6/fP9r/61/yEARwD7AHoCagQMBvkG8wapBaYDcgFw/8z9f/zG+/H7nPzD/Gb8GvzA/GH92f2x/j4AtAH0ApEDswMIAz4CTgGrADkAMQBNAMsA1ABbAFL/Rf6C/VX9ZP1u/t3/JAHcAYkC9wIAA38CSwJrAt0ClgNLBAUFMwVqBFEDagJ/AegATgAUAFoAyAAXAfsF6gs3CwYIbgafBfAEsgN4AusC2ASsBCMDAQK4/139Jf12/hYA1gCYARAEpgUtBS8DoQGVAecByAHIAlQD5gLdAUQBNgDK/un8Rfxp/b//jgCiAYgCvgIRAqkAKP9F/5b//P+qAFIB8QCa/1n+Pv3t+8D6nfoH+wP80vwN/VP89vu6+wT7Lvsd/O38e/2x/V7+Ff9C/nb8b/s1+1L6mPg+99r2d/dU+BX50fof/S/+RP5t/8MBfgP0A1sFWQeLBzYGzgRwA9wBPwAp/6r+Uv7j/YP9NP2E/c39sv25/dT+fgDcARkDggRtBc8F1QXRBZUFAgU5BFwD2wJ+ApwBIwCZ/of9e/wd+wj6C/qN+mD7Evz7/Mb9cP7V/kz/5v9jAGAASQCEAPIA4gBjALv/C/8w/i39Nfx2+wn71/oJ+7z7nvyK/Sn+Iv9RAB0BiQE7AkMDEQTOBA0FBgUIBSkF0QQKBDIDcAKHAcEADQCA/zT/1v7W/kn/FQCqAPoAZQECArICGwN7A/8DwARABW8FmAWRBVsF0QRVBAEEygNAA1ACmAHuAJ4A9/9A/6T+yP5G/zX/3v43/vf95P2t/Wb9EP2+/O78o/3t/RX+j/6B/rT9mPwa/FL7i/oW+i36u/pI+7P7Ivy3+wr7UPoX+k/56fhs+AT4hfd09sf1+PTo9HL1m/Ye+sX9yf+W/7b/hgAmAZEBKQIQA8gDUgQBBUcFnwSoAtgAfv+0/nb+YP5h/kH+E/4W/gL+w/1J/S79oP21/lwACALyAl4D1gMkBP4D7gOsAykDnQKWArgCZAK+AaIAh/+F/o793/w5/OH7p/sC/H38uPzs/Cf9Z/3V/Z3+pP/MAMwBRwJqAq8CtwJsAvIBcQEBAcsA5wD5ANsAkQDt/wL/SP75/cn9lf3V/Zv+u/+kAJQBzgIEBOAEqgWlBncHAQh7COEIAwkNCbQI4gf1BgcGDAUdBG4D8QJ6Ai8CGQLMAS8BdADU/5f/m//O////pwBeAUMC3gI0A28DfQNyA2ADRwNaA04D+gLBApQCEgL/AFEAy/8C/5D+bP44/pD9Jv3u/O78Bf0s/U/9ZP2J/cb9Gf6Y/hX/RP8P/77+uv7S/lP+hv3u/Jr8hvyM/Hr8T/wA/Mv7aPsO+9L6tvps+l/6cvqi+hX71fty/LD8Gv3B/cr9dv1p/Q/+fv4Q/0v/3P4T/oD9FP08/NX6R/lx+IL3zPZZ9qv2nfYn9q/2+viq+8b81PyV/fj+cv8xANoBlANiBHoEyQSgBTMGpwUhBBsDggKQAdEArQB3AIP/Pv6X/Wj91fwn/Jv7GPun+oP69frr+938RP1G/RD+Pf/d/5kAxAGrAhMDhANoBEsFhQWFBaoFYgXIBCkEpAMXA1sCeQGcACkABwCg/xz/h/71/ZD9j/3//UX+Qv67/lH/yv9UAA0ByQE/An4CNQP0BfoHOwgvB9wGowcaCHwHswavB6EH7gZtBqEG+QagBosFJQRsA2IDWAM3AyoDCwOvAlgCeQKyAjAC9AHBAZYBnQHqAWEC2QIhAzADEwP2Ag8DPwNNA0ID9gJ8AkQCeQKlAoECLgL0AdcBvwGuAb0BvQGiAY8BlgGfAc0BvgGQAWwBbgFlATsBIAEmAf4AfQASAM3/ov+X/6T/iP8M/8P+1f7I/p7+i/6u/uf+6f4M/0f/e/+u/8H/nv9q/2n/g/9w/2b/b/9T/w7/5f7u/sj+if45/uf9pP1+/WD9Bv27/MD8tPyb/I78l/yY/Gb8Qvz4+937ufuU+2f7KfsW+1D7oPvr+/b7zfuj+5z7rPuh+/b7svxA/Vb9Uv2+/Yr+Gv/u/h//lP8fAHMAgAC7AFsB5wHpAcIB9wFaAnICMgL8ARoCJgIEAuEB4AELAkoCKwK9AW8BYwFSARgB3gDmAAsBGwELAQIBAwENAfcAmgA/AEQAfQCDAF8AVwB9AKEAqAB7AGwAbgB1AGwAawCaAOgAFAEKAR0BQAFXAWcBnwEtAsgCOAM6AzUDdwPnAzUEKgTfA/4DIARYBG0EggSaBJwEiQQuBP8DNQRhBE8ELQQvBFMEdASEBHAEOAQGBMoDhANQA0ADQgMSA/AC9gIBA/ACzQKtAoICPgL2AbEBeAF4AX8BYwErAQEB9ADgAJsATQAbAAQA+P/n/9j/+P9OAKAAnwCjALMAvQCxAIwAWABAAC0AFQADABAAEgDi/5D/U/9V/1H/T/9r/5z/0f/6/x4ASwBtAJIAggBgAEQARABAACgACgDz/97/xv+l/33/fv+N/4n/Yf8v/y7/bv+t/8L/9f9AAF0AZwB8AKMAwQCwAH4AaQB8AJsAogCXAKYAqgCHAF0ATwBNAEEABwABACoAMwA8AFUAbwB+AIgAgQBNAFMAcwCNAHAAUQBbAHsAjACDAHYAhACxAMAAoQCOAIMAZQBJAFAAcABlADQAGAAKAOj/u/95/2j/WP8Q/8b+pf67/t7+6f7m/vT+KP9t/4P/Z/93/5r/q/+w/8r/4//b/8z/zv/P/7r/lP9r/2H/d/+i/5T/k/+S/4j/hf+Z/5//mP+T/5f/qf/T//v/DgA9AHkAiwCMAJcAmAB8AFgAOgAfABUA///B/3f/Tv9K/0n/Nf8h/yb/HP8s/zH/aP/D//7/7v/p/+//+/8AAPj/7v/T/6r/jP9+/3D/XP9I/zf/Lf8L/9r+sv6R/oT+o/7l/i7/Y/+J/6T/zP/0/xkAHwAcAEgAdACkAPMANwFHATcBJgEoASYBBAHdAMsAxgC9ALwAyQDJALkAqQCjAKQAwQDoAPwAIAFMAVkBWwFYAU4BTgFdAVcBXQFtAX0BfAFqAUwBQwEtARIBDgH7AAEBCwEoATkBOAFaAXcBcQFoAVABMQExAToBSgEuARMBFAERAfgA8gC3AIoAhwB+AIIAhgB/AGsAVABiAIoApQCnAIcAkQC1AOYA/wDxAOEA5ADoAO8ABgEdASMBLAFUAXIBfwGOAZMBkwGPAZkBjwFqAUYBRQFYAWQBWQFDAUABQQFFAUgBSQE+ASMBGgE8AW4BoQG+AdEB3gHqAe4BxQGYAXsBWwFWAVgBXgFbAVMBPAEQAfYA2QCwAJYAmACkAJAAcQB6AIcAeQCIAJEApgC4ANgA/QAPARgBDwH7AO4A1QCpAHMALgD2/9v/xP+d/3T/eP+L/4r/jf9r/1D/ZP94/4X/kP+s/8f/z//U/+f/+v/x/+D/5//x/+z/5//V/7L/hf9c/y7/E/8H/wD/6/7a/u7+Af/6/vH+/P77/u/+/v4B///+BP8N/wT/3v62/oz+ff55/nn+Zv5c/nb+b/5A/iv+IP4Y/iD+O/5U/mj+g/6w/sv+yP7g/vv+Av8K/yL/I/8C/9j+z/6o/nT+Vf5n/mL+Uv5o/nX+YP5b/nn+pv7g/vf+CP8l/2//q/+8/67/oP+m/7L/v/+7/6j/ov+V/3P/Q/8K/+j+0/7U/uv+2f7b/vH+A/8X/yP/SP9N/1z/lv+W/4L/dP97/4X/lv+f/5n/m/+y/8v/vv+v/7H/s/+Y/5D/kv+X/5P/jv+9/+j/CgAvAFIAcAB0AGgARQAvAAwA2f+8/5T/W/8y//v+5f7P/sD+q/6v/sH+yv7g/gf/JP9D/1v/fP+R/43/gf98/37/if+W/5L/hf+M/5//qf+y/8z/zv+3/7D/wf/g/+H/6/8PACkAOQAsACEAEgD0/+H/yv+3/6z/x//L/9b/6v8GABEAFwAOAPn/AQAFAA0AEQAoAEYAVABWADEAGQD2/7v/lf+V/5b/f/9l/13/Y/9Y/1T/WP9b/1r/W/90/5D/qf+Z/5n/n/+v/6D/lf91/1n/Uf9Q/0z/Pv8v/xb/If8t/x//FP8d/yv/J/8U/yb/Rf9G/1j/gf+4/zUAwgAxAakB1wPrBb4CYv6V/gkBqwAJAKAAeQBK/zr/Q/9m/rX+1gCqAX8AoP8NAOz/1/6xAicF3gLoAYID1wFSAd4EsQXZAsYBsQIgAaj/2wDEAQgANgB4ATUB6gBWA/kEWQPxAfwCAAIv/7T/cQHeAe0BIwJQAGv/4gAwAkcCTgOqAzsD0AKIAo8C5ALSAxkEFARwA7gBEQFmAS8BcgFtAiMCsgCJANQANQAPAK0A2gAQAT4BYQANAFQAxQCmAFwBpAEUARQBZgEfAKYA6gE5AUcANAEMAqEACADjANEAcP+y/yAAIf+j/hz/KP/E/iz+j/6f/ub9PP7j/qH+3P0B/hf+0f3R/bH+6/7V/k/+wf7M/nP+Qf5O/9L/Xf9//4T/Jv9X/pr+AwD5/9H+gv5e/zb+t/1Y/tz+3P5g/97/6P60/oH/a/9H/wsA5P9O/1r/rP/x/57/nf8p//H+u/8SAIL/x/+QAOX/f//J/9P//P83APT/qf9S//D/3f9b/8n/gQArANn/bv8v/5r/s/94/7z/8f/2/5T/Ff81/6r/7f/f/63/7/8XAGsAAgBv/63/lgAiAU4A6P+/ADUBYwA9ANsAugBMAJsAtQCGAJMAzgCDANj/lf+zAH4AJAANANAATwHhABUAy/8GAD4AvgAjATAB1ADl/6P/AQAKAMv/UgD+AEQAAQDpAOX/gf82AFAAVADUACwBwgBkAA0A2v/WAJ8BOwGRADkBKAF7ALH/sv8tAN8AmQGGAQwBggDs/4b/ZwBLAX8AYgD+AKYBRgEbAGb/rP8cAJcA+gDLADgAkwD1ACQAEf9b/x0AmwAFAYUB0ABy/1v/4/9q/xj/IAD4AKUAAwCK///+Hf98/4j/k//8/2YA4P+B/6L/J//L/g3/KgCsAIEAgABcAI7/Bf+v//n/Nf/b/uv/8wAKAb//vv7c/uH+5f76/mb/AwCO/8b+tP7c/mH+C/6r/oP/iv/h/rf+Hv/o/kT+Xf5N/8D/L/+J/vT+3v/7/sH9i/1Y/ib/KP/A/jj/s/9W/8z+t/5J/tP+1P8HANz/3v+w/7z+B/54/pz/q/8A/xj/bP+d/y//Kv7z/bP+UP9Y/3X/p/8//23+Tf7m/lL/+/5f/qD+Mf8W/5T+bP6V/rH+r/7l/gX/vP46/hb+wf4d/zj/Y/8S/97+1/6X/lP+Iv5Q/pH+6v4K/x7/Uv6m/eH9Cf4n/lP+PP4R/uT9+P0U/uD9kP1O/VL9Y/05/VL9jf2N/Vv9UP1t/Xf9QP0K/WP91f3H/Z79b/02/Rz9+fzl/Pf8//zb/Mr88fwL/Q/9m/wg/Bv8aPx+/Dj8Y/zT/Mb8g/xl/GP8QvwM/B38YfyD/Kz85Pzt/LH8bvzZ/FX9Nf2K/F/8X/xd/ML8+/yv/JX8y/zH/H38LPwd/H782Py1/NL8UP1Q/eL8+/wU/TP9e/2j/Vv9Df00/YP9bf0I/cz83/wI/Q79GP0O/cb8lfxt/Bz8/fss/GL8YfxQ/HL8wPzu/L/8W/w2/F785fxv/Y79bP1T/TH9DP0b/Un9S/06/XL9t/2e/bD9tP2S/Ub9D/35/C/9av1b/UL9Lf39/Pv83/yh/F/8WfyJ/OL8CP34/Az9Pv1X/Tr9Cf0F/Qj9F/0x/S/9WP2x/cv9iP09/eT8+vwa/Uf9Rf01/U39lf3J/aj9a/0U/VL9e/19/XH9c/14/Xz9e/1L/cX8ifyt/Ln8nfyu/AH9X/1v/RX9qfyB/JT8oPzD/Bj9bv2Y/YT9T/0y/SP97vza/On8H/1v/cP99/3v/b/9l/2U/XL9R/1G/W39sP3j/dj9vv20/Xv9I/3v/O38BP0p/Vz9g/16/YT9dv1H/fn8ufy6/AP9YP2W/aH9sf2c/WT9Kf31/Nz8/vwp/Vf9j/3I/fT97P29/YP9PP0R/Sb9Wf2V/b79x/3N/dz9uf10/VP9Y/2F/ZX9pv2//b/9pf2C/Un9E/34/PP88vzy/Aj9D/1H/XP9bf1J/SP9B/30/OX87fwI/T79dP2V/Zf9f/1c/RL90/zC/OL8Gv1U/X39i/2M/W39Pf0V/eP8wfzI/On8Lv1q/XX9XP0s/e/8uvym/LL8uvy5/PD8K/05/Sb9Gf3t/N383fzg/PP8DP1D/Zr9rf2i/a39gf1O/UX9U/1N/WH9k/38/Rz+DP79/e39wf2C/Vv9Uv1m/Xn9kP2i/af9vf3N/Z/9fv1l/Vv9b/2f/cz96P36/R/+M/4o/hH+Bv4B/v39DP4y/k3+aP5+/nT+QP4d/vX9AP4f/k/+ff6S/pT+qv7K/qv+e/5l/l/+Xf5r/oH+o/7D/tn+3f7H/qH+hf5+/oP+mf6w/sz++v42/1n/OP8p/xv/Gf8N/w7/Kv9a/4n/ov+c/5r/hP9t/2T/ZP9Z/0D/S/9w/4T/hv+C/3X/YP9V/1v/Q/82/zD/UP+F/6b/o/+T/4H/fv9z/2r/Z/9l/2r/iP+7/+L/4//2//n/9P/t/+H/2v/6/xQALQAuACcAIgAfABkABQDs//n///8XACkAQQBXAFoASABBAD0ALQAwADwASwBMAD8APwBRAFsAXAA9AFQAdAB6AHQAeQB+AK0AsQC3AJ0AiQCDAIAAfgCCAHQAbQBsAHoAoACbAHUAVgBhAIcAfwBeAGIAggCLAKEAogCEAHEAhQCYAJQAhQBqAF8ATgBQAEcANwBAAFQATwBRAF8AVABgAGgAbwBrAGQAbQB5AGUASgBJAEwAUQBLAHgAigB6AGsAZwBzAIAAYQBPAFEAZABpAE4ARgBIADMADgAFACkAOQAlACEANwAwACgAHQAjAB8AEQAaAC0AMAAuACQAJwAmABgACQABAAAAAwANACAAMQAuABkALQBBADEAHgAlACYAGQAbACMAJgAhABgAFAAbAB8AHgAsAC4APwBlAD4AKwApADIAPQA1ADEAPwBJAFUAZABeAFgAYQB5AKYAqQCuAKkAqQC4AMAAwwC+ALkAvgC5ALAAuADBALoArwC1ALgAuQDDANIA4ADlAOYA3gD6AOgA5ADuAPcABAEOAQ4BCgEVAS0BKgERAQwBJgFIAUMBNAFMAWwBkgGEAYQBkQGHAYgBhgF4AYYBhwGAAV0BNAEdARgBFwERARcBKAExASMBFgENAfEA3wDpAOgA1wDWAN8A5ADlAPQA9QAAAQsBCQENAf0A4ADuAAEBDQEUARMBJAEjAREBEgEpATsBOgEWAQABBwEHAQABBwHvAPEA6gDyAO8A6AD8APEA2wC9AMkAywC5AKYAsQC+AMYAnQCVAK0ApwC0AOEA6QDVAO4ACAHrAOAA2ADaANcA1gDQAMUAwACwAMUArACNAJsApgCwAKAAnACfAJUAjgCWAKAApgCkAKIApwCrALUAugCuAKUAwQDPALIArADAALYAugDRAN4A7ADuAP4AAAH7AAcBAgH3APMADAEnAQ0BAQHpAO4A8wDcANcA2wDLAL0ApACEAIsAmAB+AHgAcgB6AG4AdwCLAHkAdwBsAG8AhQCZAJkAnACbAIoAggCJAJUApgC1ALYAqwCdAJoAngCHAIAAfQB+AHkAcABwAH4AfQBvAHgAiAB2AHEAeABrAG8AZQBzAHAAagB7AI0AggCKAKEAqwCwALMAxgDiAOMA5wDwAOQAwQC1AK8AswDEALwAwgDLANYA1ADMAMwAzgDZANEA1gD5APQA6ADGALMAwwDLAN8A5wDuAOkA9wD6AN8A4wD1AAEBEQEeARQBMwE9ASkBLwEfAR8BIAEYARgBDgH8AAsBGwH3APkA/QD+AAAB/gAPAREBAgH8APEA4QD+ABQBBwH+AAkBFAEVARABFgEbAQ4B/ADpAOMA2QDWAN4A3gDVAMsA0gDOAMIA1gDSAMkA5wADAfMA3wDaAOcA3wDjAN8AxwDGAOAA5QDhAOQAxgDQAL4AqwC2AMcAwQDFAN0A2AC4AMYA1QDTAMUAvwC/ALEAswC6AMUAuADEAMYAxgDEALsAtQC4ALYAvADaAPkABQH/APcA5QC+AL8AywDpAP8ACgEOAQEBAwEOAf4A+QDxAP0ACQEIAfgA5QDbANgAzgDUAOUA9gD0AOQA3QDNAMcAzQDPANAA1QDdAOoA8wDgANMA2wDnAOQA3ADPANYA0QDNAMkAtQClAJAAoACtAKYApACUAH8AgwCAAHgAWwBXAGYAXQBgAGQAZgBzAHkAegB4AIoAiQCCAH0AkQCoAKIAkACFAIMAbwBnAF8ASABOAGMAcwBbAEgASwBAADsALQAUAAkACAAIAAAA+f8RAB8AFAARACEANwAxACoALAA8AD8ATgBMAEEATwBjAGsAYQBVAGAAZgBuAG4AgQB5AG8AaABaAEkAQAA8AEYAUwBFAD8ASQBIAEkAUgBNAFMARgBWAGEAYQBkAGAAdwB7AHEAZAB7AGwAaQB3AHMAfACBAHUAhgCPAI0AiAB2AG0AfgCKAHgAcQCLAJsAlQCMAH8AZQBpAH4AjgCgAJoAlACTAKoAsQCjAKkApQClAK4AwgDRAOUA6gDgAOEA5ADfANwA5QDvAPQAAgEEAQcBAwECAfcA6ADxAP0A+QDtAPUACQEdARsBBAECARMBGwE0AT4BNgEsAToBUAFNAUsBPQExATwBPwE2ATQBOwExATcBQAE3ATQBLQEuAToBNQE8AUcBUwFeAVoBUgFKAUoBRAFQAVABVgFsAXoBhwGNAYYBcAFeAWYBaAF0AWoBWgFRAV8BYwFWAVkBYQF1AWkBbgFpAVwBUAFEAUUBUAFQAUQBRgFWAU4BQQE6ATsBOQEzATQBPQE6AS0BJAExATABJAEfARMBBwEIARABDAELAQQB9gD1APEA6ADjANAAygDbANYA5gDjAOkA5gDQAM8A2QDWANAA6AD4APgACQEeAQ8BDAEbATABMgElARgBGQEVAREBDgECAfsA/QALARABFQEeAScBMQE1AS0BMQEzATMBPgFKAT0BNAExATsBUwFXAU0BTwFhAWYBZQFWAWABawFtAWkBbwFnAVwBXwFgAWQBcwF0AW0BbQF1AXwBigGGAXoBgAGKAZABlgGeAZ4BnQGfAZ8BrgGxAa8BrgG5AcQBxgHKAeAB8wH2AfgB/AH3AfAB8gHsAegB5QHpAe0BBAIQAg4C+gHzAf8BGAIiAiQCHwIZAhQCFwIjAiUCLQI6AkICUgJbAmICZwJjAlUCRAJHAkMCTAJEAkECQgI/AkgCVQJUAk4CRwJFAkkCTgJOAlACRgI9AkMCRQJBAjYCPAJQAlECUwJSAlECXAJjAnYCZQJZAm0CdgJvAnACegJfAk0CSAI4AkUCTQJJAkkCRQJXAm4CZwJgAlwCZwJoAnkCkwKQAoYCcgJlAmoClAKXAnUCWAJhAmkCZQJRAkYCWgJbAkACNQJFAlcCUQI1AiACIwIuAiAC/QEEAhICCwIDAvwBBQICAvIBywG2Ac4B2gHIAa0BtwG3AaoBmAGOAY8BmQGeAYoBggGQAawBqgGmAZoBiQGJAYEBfgGBAYMBiAGPAZEBiwGMAYwBiwGPAY4BkQGXAZsBlQGOAYsBkgGNAYYBfQFzAWwBaAFmAVgBVAFQAU8BYQFoAWQBZAFjAWMBcAGAAYoBjQGLAY8BkgGOAYYBfAFuAXABawFtAW0BdQF6AYUBggF6AXQBfAGIAZYBngGjAa8BvAHBAccBzQHMAcQBtgGnAakBogGhAaYBpgGpAa4BuQHEAcoB0QHcAeIB6QHtAfUBCQIKAgoCDQIVAhgCDwIDAv4BAQIJAhACCwIIAgcCFQILAgEC/wH/AQgCEwIOAgYCBQIEAgQCAwIJAhsCIwImAigCKAIkAiUCKgIvAjICMAIrAi0CMAI6AjMCLwIxAjsCPgI+AjkCLwIuAjYCPwJDAlcCVAJMAk0CVAJVAk0CRQJGAkgCQwI5AjICLgIvAjACKAIfAhwCFwIOAgoC8wHiAesB/wEMAggC/AH1AfwBDgIGAgMCDwIRAggC/wH0AegB6AHqAeoB9gH5AfAB9AH6AfgB8gHwAfYBAQILAg0CAAL2AfoB/QH5AfcB+AECAvIB4wHWAcsByQHNAcwBxQG7AcIBvgHEAcgBwAGyAacBpAGrAa0BqgGxAbYBtwG4AbQBrAGoAZ0BnQGXAZEBiwGMAZMBmwGhAaIBpwGpAaYBqQGwAboBxQG/AbEBoAGIAYABgAF6AXQBdwFlAUUBOwE1ATEBLwErASgBKQEkAR8BHgEfAR0BGgEUAQwBCAEOAQ0BBQEBAf8AAgEKARQBIgEhARsBCwH8APEA6QDpAPUA8ADqAO8A+gAEAQgBBgH5APAA+AD5APEA4gDQAMgA0wDUAMsAywDOAM8AygDCAMEAxwC7ALIAqQCkAKUAqACmAJoAmwCdAJoAlgCUAJQAkgCKAHcAdQB6AH8AiACZAK0AuwDAALEAqwCsAK4AqwCiAJYAjQCKAIcAjgCMAH0AcABtAHEAhgCVAJYAjwCNAJYAngCWAI0AhgB+AIYAnACuALAArQCdAJcAjwCJAIQAfwCBAIEAiQCOAI0AgQBzAG0AbwBpAGoAYABhAGsAcwBzAGoAWQBYAFYAWABiAHAAdABpAFwARwA2ADEAMgA0ADgAOgA1ADIAKwAtAC4AJAAWA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type="audio/wav" />
                     Your browser does not support the audio element.
                 </audio>
 
@@ -1104,7 +1108,7 @@ <h4>qscale=1<a class="headerlink" href="#qscale-1" title="Permalink to this head
 </div>
 <br />
 <br /><p>Tag: <a class="reference internal" href="../io.html#module-torchaudio.io" title="torchaudio.io"><code class="xref py py-obj docutils literal notranslate"><span class="pre">torchaudio.io</span></code></a></p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.084 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.082 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-effector-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/35b17eb90c4f61debd1025eb60d50269/effector_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">effector_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/filter_design_tutorial.html b/main/tutorials/filter_design_tutorial.html
index f1c8ac031e1..855f0c46e73 100644
--- a/main/tutorials/filter_design_tutorial.html
+++ b/main/tutorials/filter_design_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Filter design tutorial &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Filter design tutorial &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -484,8 +484,8 @@
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">torchaudio.prototype.functional</span> <span class="kn">import</span> <span class="n">frequency_impulse_response</span><span class="p">,</span> <span class="n">sinc_impulse_response</span>
@@ -723,7 +723,7 @@ <h2>References<a class="headerlink" href="#references" title="Permalink to this
 <li><p><a class="reference external" href="https://courses.engr.illinois.edu/ece401/fa2020/slides/lec10.pdf">https://courses.engr.illinois.edu/ece401/fa2020/slides/lec10.pdf</a></p></li>
 <li><p><a class="reference external" href="https://ccrma.stanford.edu/~jos/sasp/Windowing_Desired_Impulse_Response.html">https://ccrma.stanford.edu/~jos/sasp/Windowing_Desired_Impulse_Response.html</a></p></li>
 </ul>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  5.307 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  5.236 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-filter-design-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/5ff2f7762ef4d114b8d7b7a77e9e6967/filter_design_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">filter_design_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/forced_alignment_for_multilingual_data_tutorial.html b/main/tutorials/forced_alignment_for_multilingual_data_tutorial.html
index eeb21f91e6b..977fa383969 100644
--- a/main/tutorials/forced_alignment_for_multilingual_data_tutorial.html
+++ b/main/tutorials/forced_alignment_for_multilingual_data_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Forced alignment for multilingual data &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Forced alignment for multilingual data &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -481,8 +481,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="torch.device" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 cuda
 </pre></div>
 </div>
@@ -554,7 +554,7 @@ <h2>Creating the pipeline<a class="headerlink" href="#creating-the-pipeline" tit
 <p>We define a utility function that performs the forced alignment with
 the above model, the tokenizer and the aligner.</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">compute_alignments</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">waveform</span></a><span class="p">:</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">transcript</span></a><span class="p">:</span> <a href="https://docs.python.org/3/library/typing.html#typing.List" title="typing.List" class="sphx-glr-backref-module-typing sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">List</span></a><span class="p">[</span><span class="nb">str</span><span class="p">]):</span>
-    <span class="k">with</span> <a href="https://pytorch.org/docs/stable/generated/torch.inference_mode.html#torch.inference_mode" title="torch.inference_mode" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span></a><span class="p">():</span>
+    <span class="k">with</span> <a href="https://pytorch.org/docs/stable/generated/torch.autograd.grad_mode.inference_mode.html#torch.autograd.grad_mode.inference_mode" title="torch.autograd.grad_mode.inference_mode" class="sphx-glr-backref-module-torch-autograd-grad_mode sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span></a><span class="p">():</span>
         <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">waveform</span></a><span class="o">.</span><span class="n">to</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="torch.device" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">))</span>
         <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">token_spans</span></a> <span class="o">=</span> <span class="n">aligner</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">tokenizer</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">transcript</span></a><span class="p">))</span>
     <span class="k">return</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">token_spans</span></a>
@@ -1462,7 +1462,7 @@ <h2>Acknowledgement<a class="headerlink" href="#acknowledgement" title="Permalin
 <p>Thanks to <a class="reference external" href="mailto:vineelkpratap&#37;&#52;&#48;meta&#46;com">Vineel Pratap</a> and <a class="reference external" href="mailto:zni&#37;&#52;&#48;meta&#46;com">Zhaoheng
 Ni</a> for developing and open-sourcing the
 forced aligner API.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  4.117 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.675 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-forced-alignment-for-multilingual-data-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/a662d1f1f11633103b4b95ad4b68013c/forced_alignment_for_multilingual_data_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">forced_alignment_for_multilingual_data_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/forced_alignment_tutorial.html b/main/tutorials/forced_alignment_tutorial.html
index 4999d0d725f..ae8412519ba 100644
--- a/main/tutorials/forced_alignment_tutorial.html
+++ b/main/tutorials/forced_alignment_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Forced Alignment with Wav2Vec2 &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Forced Alignment with Wav2Vec2 &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -495,8 +495,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="torch.device" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 cuda
 </pre></div>
 </div>
@@ -542,7 +542,7 @@ <h2>Generate frame-wise label probability<a class="headerlink" href="#generate-f
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">bundle</span> <span class="o">=</span> <span class="n">torchaudio</span><span class="o">.</span><span class="n">pipelines</span><span class="o">.</span><span class="n">WAV2VEC2_ASR_BASE_960H</span>
 <span class="n">model</span> <span class="o">=</span> <span class="n">bundle</span><span class="o">.</span><span class="n">get_model</span><span class="p">()</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="torch.device" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">)</span>
 <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">labels</span></a> <span class="o">=</span> <span class="n">bundle</span><span class="o">.</span><span class="n">get_labels</span><span class="p">()</span>
-<span class="k">with</span> <a href="https://pytorch.org/docs/stable/generated/torch.inference_mode.html#torch.inference_mode" title="torch.inference_mode" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span></a><span class="p">():</span>
+<span class="k">with</span> <a href="https://pytorch.org/docs/stable/generated/torch.autograd.grad_mode.inference_mode.html#torch.autograd.grad_mode.inference_mode" title="torch.autograd.grad_mode.inference_mode" class="sphx-glr-backref-module-torch-autograd-grad_mode sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span></a><span class="p">():</span>
     <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">waveform</span></a><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">torchaudio</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">SPEECH_FILE</span></a><span class="p">)</span>
     <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emissions</span></a><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">waveform</span></a><span class="o">.</span><span class="n">to</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="torch.device" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">))</span>
     <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emissions</span></a> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">log_softmax</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emissions</span></a><span class="p">,</span> <span class="n">dim</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
@@ -1304,7 +1304,7 @@ <h2>Audio Samples<a class="headerlink" href="#audio-samples" title="Permalink to
 <h2>Conclusion<a class="headerlink" href="#conclusion" title="Permalink to this heading">¶</a></h2>
 <p>In this tutorial, we looked how to use torchaudio’s Wav2Vec2 model to
 perform CTC segmentation for forced alignment.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.751 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.714 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-forced-alignment-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/fa57890a830bd47c0baa254781b3a8e1/forced_alignment_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">forced_alignment_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/hybrid_demucs_tutorial.html b/main/tutorials/hybrid_demucs_tutorial.html
index 8ee4d9c3bea..683a9a8045c 100644
--- a/main/tutorials/hybrid_demucs_tutorial.html
+++ b/main/tutorials/hybrid_demucs_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Music Source Separation with Hybrid Demucs &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Music Source Separation with Hybrid Demucs &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -497,8 +497,8 @@ <h2>2. Preparation<a class="headerlink" href="#preparation" title="Permalink to
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 <p>In addition to <code class="docutils literal notranslate"><span class="pre">torchaudio</span></code>, <code class="docutils literal notranslate"><span class="pre">mir_eval</span></code> is required to perform
@@ -534,49 +534,20 @@ <h2>3. Construct the pipeline<a class="headerlink" href="#construct-the-pipeline
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 Sample rate: 44100
 </pre></div>
 </div>
@@ -704,11 +675,7 @@ <h2>5. Run Model<a class="headerlink" href="#run-model" title="Permalink to this
 </pre></div>
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 Separating track
 </pre></div>
 </div>
@@ -772,16 +739,16 @@ <h3>5.2 Audio Segmenting and Processing<a class="headerlink" href="#audio-segmen
 </pre></div>
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 </pre></div>
 </div>
 </section>
@@ -895,7 +862,7 @@ <h3>5.3 Spectrograms and Audio<a class="headerlink" href="#spectrograms-and-audi
 <span class="c1"># Audio(audios[&quot;other&quot;], rate=sample_rate)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  32.512 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  25.332 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-hybrid-demucs-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/d7783185e54fb77cb13eb7133fa130a3/hybrid_demucs_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">hybrid_demucs_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/mvdr_tutorial.html b/main/tutorials/mvdr_tutorial.html
index 79deea65fd4..19424d5152c 100644
--- a/main/tutorials/mvdr_tutorial.html
+++ b/main/tutorials/mvdr_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Speech Enhancement with MVDR Beamforming &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Speech Enhancement with MVDR Beamforming &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -495,8 +495,8 @@ <h2>1. Overview<a class="headerlink" href="#overview" title="Permalink to this h
 <span class="kn">from</span> <span class="nn">IPython.display</span> <span class="kn">import</span> <span class="n">Audio</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 </section>
@@ -542,10 +542,10 @@ <h3>2.2. Download audio data<a class="headerlink" href="#download-audio-data" ti
 </pre></div>
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 </div>
 </section>
@@ -890,7 +890,7 @@ <h3>6.4. Result for RTFMVDR with <cite>rtf_power</cite><a class="headerlink" hre
 
 </div>
 <br />
-<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.742 seconds)</p>
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 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-mvdr-tutorial-py">
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diff --git a/main/tutorials/nvdec_tutorial.html b/main/tutorials/nvdec_tutorial.html
index 830a5e0c196..215396b842c 100644
--- a/main/tutorials/nvdec_tutorial.html
+++ b/main/tutorials/nvdec_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Accelerated video decoding with NVDEC &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Accelerated video decoding with NVDEC &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -481,8 +481,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
@@ -536,7 +536,7 @@ <h2>Check the prerequisites<a class="headerlink" href="#check-the-prerequisites"
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Avaialbe GPU:
-_CudaDeviceProperties(name=&#39;NVIDIA A10G&#39;, major=8, minor=6, total_memory=22515MB, multi_processor_count=80)
+_CudaDeviceProperties(name=&#39;NVIDIA A10G&#39;, major=8, minor=6, total_memory=22502MB, multi_processor_count=80)
 </pre></div>
 </div>
 <p>We will use the following video which has the following properties;</p>
@@ -554,9 +554,8 @@ <h2>Check the prerequisites<a class="headerlink" href="#check-the-prerequisites"
 </pre></div>
 </div>
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 </pre></div>
 </div>
 </section>
@@ -589,7 +588,7 @@ <h2>Decoding videos with NVDEC<a class="headerlink" href="#decoding-videos-with-
 <p>By specifying <code class="docutils literal notranslate"><span class="pre">hw_accel</span></code> option, you can convert the decoded frames
 to CUDA tensor.
 <code class="docutils literal notranslate"><span class="pre">hw_accel</span></code> option takes string values and pass it
-to <a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="(in PyTorch v2.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.device</span></code></a>.</p>
+to <a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="(in PyTorch v2.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.device</span></code></a>.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
 <p>Currently, <code class="docutils literal notranslate"><span class="pre">hw_accel</span></code> option and
@@ -931,23 +930,23 @@ <h2>QVGA<a class="headerlink" href="#qvga" title="Permalink to this heading">¶<
 </pre></div>
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 Testing: testsrc2_qvga.h264.mp4
 * Software decoding (num_threads=1)
  - Shape: torch.Size([5, 3, 240, 320])
- - Processed 900 frames in 0.51 seconds. (1766.83 fps)
+ - Processed 900 frames in 0.53 seconds. (1711.49 fps)
 * Software decoding (num_threads=4)
  - Shape: torch.Size([5, 3, 240, 320])
- - Processed 900 frames in 0.34 seconds. (2632.74 fps)
+ - Processed 900 frames in 0.34 seconds. (2608.82 fps)
 * Software decoding (num_threads=8)
  - Shape: torch.Size([5, 3, 240, 320])
- - Processed 900 frames in 0.32 seconds. (2806.82 fps)
+ - Processed 900 frames in 0.35 seconds. (2606.72 fps)
 * Software decoding (num_threads=16)
  - Shape: torch.Size([5, 3, 240, 320])
- - Processed 895 frames in 0.32 seconds. (2764.85 fps)
+ - Processed 895 frames in 0.35 seconds. (2553.10 fps)
 * Hardware decoding
  - Shape: torch.Size([5, 3, 240, 320])
- - Processed 900 frames in 2.03 seconds. (443.96 fps)
+ - Processed 900 frames in 1.68 seconds. (536.97 fps)
 </pre></div>
 </div>
 </section>
@@ -958,24 +957,23 @@ <h2>VGA<a class="headerlink" href="#vga" title="Permalink to this heading">¶</a
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/3.59M [00:00&lt;?, ?B/s]
- 59%|#####9    | 2.12M/3.59M [00:00&lt;00:00, 9.42MB/s]
-100%|##########| 3.59M/3.59M [00:00&lt;00:00, 15.3MB/s]
+100%|##########| 3.59M/3.59M [00:00&lt;00:00, 303MB/s]
 Testing: testsrc2_vga.h264.mp4
 * Software decoding (num_threads=1)
  - Shape: torch.Size([5, 3, 480, 640])
- - Processed 900 frames in 1.23 seconds. (729.73 fps)
+ - Processed 900 frames in 1.29 seconds. (698.02 fps)
 * Software decoding (num_threads=4)
  - Shape: torch.Size([5, 3, 480, 640])
- - Processed 900 frames in 0.64 seconds. (1407.80 fps)
+ - Processed 900 frames in 0.61 seconds. (1470.20 fps)
 * Software decoding (num_threads=8)
  - Shape: torch.Size([5, 3, 480, 640])
- - Processed 900 frames in 0.64 seconds. (1411.72 fps)
+ - Processed 900 frames in 0.68 seconds. (1321.70 fps)
 * Software decoding (num_threads=16)
  - Shape: torch.Size([5, 3, 480, 640])
- - Processed 895 frames in 0.67 seconds. (1335.98 fps)
+ - Processed 895 frames in 0.69 seconds. (1301.50 fps)
 * Hardware decoding
  - Shape: torch.Size([5, 3, 480, 640])
- - Processed 900 frames in 0.35 seconds. (2560.60 fps)
+ - Processed 900 frames in 0.34 seconds. (2647.47 fps)
 </pre></div>
 </div>
 </section>
@@ -986,24 +984,23 @@ <h2>XGA<a class="headerlink" href="#xga" title="Permalink to this heading">¶</a
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/9.22M [00:00&lt;?, ?B/s]
- 98%|#########7| 9.00M/9.22M [00:00&lt;00:00, 58.6MB/s]
-100%|##########| 9.22M/9.22M [00:00&lt;00:00, 58.6MB/s]
+100%|##########| 9.22M/9.22M [00:00&lt;00:00, 307MB/s]
 Testing: testsrc2_xga.h264.mp4
 * Software decoding (num_threads=1)
  - Shape: torch.Size([5, 3, 768, 1024])
- - Processed 900 frames in 2.72 seconds. (330.44 fps)
+ - Processed 900 frames in 2.72 seconds. (331.39 fps)
 * Software decoding (num_threads=4)
  - Shape: torch.Size([5, 3, 768, 1024])
- - Processed 900 frames in 1.25 seconds. (720.46 fps)
+ - Processed 900 frames in 1.19 seconds. (756.23 fps)
 * Software decoding (num_threads=8)
  - Shape: torch.Size([5, 3, 768, 1024])
- - Processed 900 frames in 1.27 seconds. (710.91 fps)
+ - Processed 900 frames in 1.19 seconds. (755.28 fps)
 * Software decoding (num_threads=16)
  - Shape: torch.Size([5, 3, 768, 1024])
- - Processed 895 frames in 1.30 seconds. (687.98 fps)
+ - Processed 895 frames in 1.09 seconds. (818.92 fps)
 * Hardware decoding
  - Shape: torch.Size([5, 3, 768, 1024])
- - Processed 900 frames in 0.62 seconds. (1446.94 fps)
+ - Processed 900 frames in 0.61 seconds. (1478.34 fps)
 </pre></div>
 </div>
 </section>
@@ -1058,7 +1055,7 @@ <h2>Decode and resize<a class="headerlink" href="#decode-and-resize" title="Perm
 <ol class="arabic simple">
 <li><p>Decode video using software decoder and read the frames as
 PyTorch Tensor. Resize the tensor using
-<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.functional.interpolate.html#torch.nn.functional.interpolate" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.nn.functional.interpolate()</span></code></a>, then send
+<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.functional.interpolate.html#torch.nn.functional.interpolate" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.nn.functional.interpolate()</span></code></a>, then send
 the resulting tensor to CUDA device.</p></li>
 <li><p>Decode video using software decoder, resize the frame with
 FFmpeg’s filter graph, read the resized frames as PyTorch tensor,
@@ -1072,7 +1069,7 @@ <h2>Decode and resize<a class="headerlink" href="#decode-and-resize" title="Perm
 <p>The pipeline 3 has the minimum amount of data transfer from CPU to
 CUDA, which significantly contribute to performant data loading.</p>
 <p>The following function implements the pipeline 1. It uses PyTorch’s
-<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.functional.interpolate.html#torch.nn.functional.interpolate" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.nn.functional.interpolate()</span></code></a>.
+<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.functional.interpolate.html#torch.nn.functional.interpolate" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.nn.functional.interpolate()</span></code></a>.
 We use <code class="docutils literal notranslate"><span class="pre">bincubic</span></code> mode, as we saw that the resulting frames are
 closest to NVDEC resizing.</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">test_decode_then_resize</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">src</span></a><span class="p">,</span> <span class="n">height</span><span class="p">,</span> <span class="n">width</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;bicubic&quot;</span><span class="p">,</span> <span class="n">frames_per_chunk</span><span class="o">=</span><span class="mi">5</span><span class="p">):</span>
@@ -1159,13 +1156,13 @@ <h2>QVGA<a class="headerlink" href="#id1" title="Permalink to this heading">¶</
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Testing: testsrc2_qvga.h264.mp4
 * Software decoding with PyTorch interpolate
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 0.65 seconds. (1386.15 fps)
+ - Processed 900 frames in 0.69 seconds. (1296.57 fps)
 * Software decoding with FFmpeg scale
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 0.38 seconds. (2339.20 fps)
+ - Processed 900 frames in 0.36 seconds. (2510.60 fps)
 * Hardware decoding with resize
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 2.01 seconds. (447.17 fps)
+ - Processed 900 frames in 2.01 seconds. (447.56 fps)
 </pre></div>
 </div>
 </section>
@@ -1177,13 +1174,13 @@ <h2>VGA<a class="headerlink" href="#id2" title="Permalink to this heading">¶</a
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Testing: testsrc2_vga.h264.mp4
 * Software decoding with PyTorch interpolate
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 1.40 seconds. (641.78 fps)
+ - Processed 900 frames in 1.41 seconds. (638.51 fps)
 * Software decoding with FFmpeg scale
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 0.66 seconds. (1364.95 fps)
+ - Processed 900 frames in 0.60 seconds. (1494.09 fps)
 * Hardware decoding with resize
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 0.35 seconds. (2570.75 fps)
+ - Processed 900 frames in 0.34 seconds. (2665.72 fps)
 </pre></div>
 </div>
 </section>
@@ -1195,13 +1192,13 @@ <h2>XGA<a class="headerlink" href="#id3" title="Permalink to this heading">¶</a
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Testing: testsrc2_xga.h264.mp4
 * Software decoding with PyTorch interpolate
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 2.61 seconds. (345.12 fps)
+ - Processed 900 frames in 2.78 seconds. (323.81 fps)
 * Software decoding with FFmpeg scale
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 1.01 seconds. (891.16 fps)
+ - Processed 900 frames in 1.05 seconds. (855.64 fps)
 * Hardware decoding with resize
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 0.62 seconds. (1453.60 fps)
+ - Processed 900 frames in 0.61 seconds. (1483.64 fps)
 </pre></div>
 </div>
 </section>
@@ -1242,7 +1239,7 @@ <h2>Result<a class="headerlink" href="#id4" title="Permalink to this heading">¶
 manipulated and copied are smaller than the case where applying
 resizing after frames are converted to Tensor.</p>
 <p>Tag: <a class="reference internal" href="../io.html#module-torchaudio.io" title="torchaudio.io"><code class="xref py py-obj docutils literal notranslate"><span class="pre">torchaudio.io</span></code></a></p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  32.068 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  30.008 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-nvdec-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/2c0cb1d7d79d5a5622253c098a75dbf0/nvdec_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">nvdec_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/nvenc_tutorial.html b/main/tutorials/nvenc_tutorial.html
index a67c65ecc22..89d0799e9c9 100644
--- a/main/tutorials/nvenc_tutorial.html
+++ b/main/tutorials/nvenc_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Accelerated video encoding with NVENC &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Accelerated video encoding with NVENC &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -501,8 +501,8 @@
 <span class="kn">from</span> <span class="nn">torchaudio.io</span> <span class="kn">import</span> <span class="n">StreamReader</span><span class="p">,</span> <span class="n">StreamWriter</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 <section id="check-the-prerequisites">
@@ -542,7 +542,7 @@ <h2>Check the prerequisites<a class="headerlink" href="#check-the-prerequisites"
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Avaialbe GPU:
-_CudaDeviceProperties(name=&#39;NVIDIA A10G&#39;, major=8, minor=6, total_memory=22515MB, multi_processor_count=80)
+_CudaDeviceProperties(name=&#39;NVIDIA A10G&#39;, major=8, minor=6, total_memory=22502MB, multi_processor_count=80)
 </pre></div>
 </div>
 <p>We use the following helper function to generate test frame data.
@@ -698,19 +698,19 @@ <h2>360P<a class="headerlink" href="#p" title="Permalink to this heading">¶</a>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Testing resolution: 640x360
 * Software Encoder (num_threads=1)
- - Processed 120 frames in 0.63 seconds. (189.48 fps)
+ - Processed 120 frames in 0.66 seconds. (182.14 fps)
  - Encoded data size: 381331 bytes
 * Software Encoder (num_threads=4)
- - Processed 120 frames in 0.22 seconds. (534.19 fps)
+ - Processed 120 frames in 0.22 seconds. (537.28 fps)
  - Encoded data size: 381307 bytes
 * Software Encoder (num_threads=8)
- - Processed 120 frames in 0.19 seconds. (645.26 fps)
+ - Processed 120 frames in 0.18 seconds. (684.08 fps)
  - Encoded data size: 390689 bytes
 * Hardware Encoder
- - Processed 120 frames in 0.05 seconds. (2224.28 fps)
+ - Processed 120 frames in 0.05 seconds. (2256.83 fps)
  - Encoded data size: 1262979 bytes
 * Hardware Encoder (CUDA frames)
- - Processed 120 frames in 0.05 seconds. (2623.06 fps)
+ - Processed 120 frames in 0.05 seconds. (2585.03 fps)
  - Encoded data size: 1262979 bytes
 </pre></div>
 </div>
@@ -722,19 +722,19 @@ <h2>720P<a class="headerlink" href="#id1" title="Permalink to this heading">¶</
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Testing resolution: 1280x720
 * Software Encoder (num_threads=1)
- - Processed 120 frames in 2.27 seconds. (52.88 fps)
+ - Processed 120 frames in 2.19 seconds. (54.87 fps)
  - Encoded data size: 1335451 bytes
 * Software Encoder (num_threads=4)
- - Processed 120 frames in 0.83 seconds. (144.92 fps)
+ - Processed 120 frames in 0.72 seconds. (165.53 fps)
  - Encoded data size: 1336418 bytes
 * Software Encoder (num_threads=8)
- - Processed 120 frames in 0.69 seconds. (172.96 fps)
+ - Processed 120 frames in 0.60 seconds. (198.69 fps)
  - Encoded data size: 1344063 bytes
 * Hardware Encoder
- - Processed 120 frames in 0.26 seconds. (468.92 fps)
+ - Processed 120 frames in 0.18 seconds. (676.27 fps)
  - Encoded data size: 1358969 bytes
 * Hardware Encoder (CUDA frames)
- - Processed 120 frames in 0.15 seconds. (802.29 fps)
+ - Processed 120 frames in 0.15 seconds. (801.88 fps)
  - Encoded data size: 1358969 bytes
 </pre></div>
 </div>
@@ -746,19 +746,19 @@ <h2>1080P<a class="headerlink" href="#id2" title="Permalink to this heading">¶<
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Testing resolution: 1920x1080
 * Software Encoder (num_threads=1)
- - Processed 120 frames in 4.66 seconds. (25.73 fps)
+ - Processed 120 frames in 4.48 seconds. (26.80 fps)
  - Encoded data size: 2678241 bytes
 * Software Encoder (num_threads=4)
- - Processed 120 frames in 1.68 seconds. (71.37 fps)
+ - Processed 120 frames in 1.51 seconds. (79.72 fps)
  - Encoded data size: 2682028 bytes
 * Software Encoder (num_threads=8)
- - Processed 120 frames in 1.57 seconds. (76.47 fps)
+ - Processed 120 frames in 1.35 seconds. (88.88 fps)
  - Encoded data size: 2685086 bytes
 * Hardware Encoder
- - Processed 120 frames in 0.56 seconds. (213.38 fps)
+ - Processed 120 frames in 0.39 seconds. (310.31 fps)
  - Encoded data size: 1705900 bytes
 * Hardware Encoder (CUDA frames)
- - Processed 120 frames in 0.32 seconds. (371.21 fps)
+ - Processed 120 frames in 0.32 seconds. (370.85 fps)
  - Encoded data size: 1705900 bytes
 </pre></div>
 </div>
@@ -852,7 +852,7 @@ <h2>1080P<a class="headerlink" href="#id5" title="Permalink to this heading">¶<
 We did not try, but if you try that and find a better quality
 setting, feel free to let us know. ;)</p>
 <p>Tag: <a class="reference internal" href="../io.html#module-torchaudio.io" title="torchaudio.io"><code class="xref py py-obj docutils literal notranslate"><span class="pre">torchaudio.io</span></code></a></p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  21.880 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  20.538 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-nvenc-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/e3bf18fcd5249a6baebd826b65b5dbc8/nvenc_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">nvenc_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/online_asr_tutorial.html b/main/tutorials/online_asr_tutorial.html
index 3ed0b8dc485..f960658e104 100644
--- a/main/tutorials/online_asr_tutorial.html
+++ b/main/tutorials/online_asr_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Online ASR with Emformer RNN-T &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Online ASR with Emformer RNN-T &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -496,8 +496,8 @@ <h2>2. Preparation<a class="headerlink" href="#preparation" title="Permalink to
 <span class="kn">from</span> <span class="nn">torchaudio.io</span> <span class="kn">import</span> <span class="n">StreamReader</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 </section>
@@ -515,22 +515,41 @@ <h2>3. Construct the pipeline<a class="headerlink" href="#construct-the-pipeline
 </pre></div>
 </div>
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 </pre></div>
 </div>
 <p>Streaming inference works on input data with overlap.
@@ -2143,7 +2162,7 @@ <h2>5. Run stream inference<a class="headerlink" href="#run-stream-inference" ti
 </div>
 <br />
 <br /><p>Tag: <a class="reference internal" href="../io.html#module-torchaudio.io" title="torchaudio.io"><code class="xref py py-obj docutils literal notranslate"><span class="pre">torchaudio.io</span></code></a></p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  38.997 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  39.088 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-online-asr-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/f9f593098569966df0b815e29c13dd20/online_asr_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">online_asr_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/oscillator_tutorial.html b/main/tutorials/oscillator_tutorial.html
index 4cee1583854..c7a7c64e6d5 100644
--- a/main/tutorials/oscillator_tutorial.html
+++ b/main/tutorials/oscillator_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Oscillator and ADSR envelope &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Oscillator and ADSR envelope &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -481,8 +481,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">try</span><span class="p">:</span>
@@ -521,7 +521,7 @@ <h2>Oscillator Bank<a class="headerlink" href="#oscillator-bank" title="Permalin
 of oscillation at given time. So integrating the instantaneous frequency gives
 the displacement of the phase of the oscillation, since the start.
 In discrete-time signal processing, integration becomes accumulation.
-In PyTorch, accumulation can be computed using <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.cumsum.html#torch.cumsum" title="(in PyTorch v2.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.cumsum()</span></code></a>.</p>
+In PyTorch, accumulation can be computed using <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.cumsum.html#torch.cumsum" title="(in PyTorch v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.cumsum()</span></code></a>.</p>
 </div>
 <p><a class="reference internal" href="../generated/torchaudio.prototype.functional.oscillator_bank.html#torchaudio.prototype.functional.oscillator_bank" title="torchaudio.prototype.functional.oscillator_bank"><code class="xref py py-func docutils literal notranslate"><span class="pre">torchaudio.prototype.functional.oscillator_bank()</span></code></a> generates a bank of
 sinsuoidal waveforms from amplitude envelopes and instantaneous frequencies.</p>
@@ -824,7 +824,7 @@ <h2>References<a class="headerlink" href="#references" title="Permalink to this
 <li><p><a class="reference external" href="https://pages.mtu.edu/~suits/notefreq432.html">https://pages.mtu.edu/~suits/notefreq432.html</a></p></li>
 <li><p><a class="reference external" href="https://alijamieson.co.uk/2021/12/19/forgive-me-lord-for-i-have-synth-a-guide-to-subtractive-synthesis/">https://alijamieson.co.uk/2021/12/19/forgive-me-lord-for-i-have-synth-a-guide-to-subtractive-synthesis/</a></p></li>
 </ul>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.031 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.068 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-oscillator-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/5479a6afc671384df1c364f38943e580/oscillator_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">oscillator_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/sg_execution_times.html b/main/tutorials/sg_execution_times.html
index 02586fcc7e2..d1d8a30a60b 100644
--- a/main/tutorials/sg_execution_times.html
+++ b/main/tutorials/sg_execution_times.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Computation times &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Computation times &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -222,7 +222,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -456,115 +456,115 @@
               
   <section id="computation-times">
 <span id="sphx-glr-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this heading">¶</a></h1>
-<p><strong>09:36.991</strong> total execution time for <strong>tutorials</strong> files:</p>
+<p><strong>08:27.945</strong> total execution time for <strong>tutorials</strong> files:</p>
 <table class="docutils align-default">
 <tbody>
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-<td><p>03:00.134</p></td>
+<td><p>01:58.495</p></td>
 <td><p>0.0 MB</p></td>
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-<td><p>01:38.997</p></td>
+<td><p>01:39.088</p></td>
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-<td><p>00:32.512</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="nvdec_tutorial.html#sphx-glr-tutorials-nvdec-tutorial-py"><span class="std std-ref">Accelerated video decoding with NVDEC</span></a> (<code class="docutils literal notranslate"><span class="pre">nvdec_tutorial.py</span></code>)</p></td>
+<td><p>00:30.008</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="nvdec_tutorial.html#sphx-glr-tutorials-nvdec-tutorial-py"><span class="std std-ref">Accelerated video decoding with NVDEC</span></a> (<code class="docutils literal notranslate"><span class="pre">nvdec_tutorial.py</span></code>)</p></td>
-<td><p>00:32.068</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="hybrid_demucs_tutorial.html#sphx-glr-tutorials-hybrid-demucs-tutorial-py"><span class="std std-ref">Music Source Separation with Hybrid Demucs</span></a> (<code class="docutils literal notranslate"><span class="pre">hybrid_demucs_tutorial.py</span></code>)</p></td>
+<td><p>00:25.332</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="nvenc_tutorial.html#sphx-glr-tutorials-nvenc-tutorial-py"><span class="std std-ref">Accelerated video encoding with NVENC</span></a> (<code class="docutils literal notranslate"><span class="pre">nvenc_tutorial.py</span></code>)</p></td>
-<td><p>00:21.880</p></td>
+<td><p>00:20.538</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="streamreader_advanced_tutorial.html#sphx-glr-tutorials-streamreader-advanced-tutorial-py"><span class="std std-ref">StreamReader Advanced Usages</span></a> (<code class="docutils literal notranslate"><span class="pre">streamreader_advanced_tutorial.py</span></code>)</p></td>
-<td><p>00:18.680</p></td>
+<td><p>00:18.650</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="streamreader_basic_tutorial.html#sphx-glr-tutorials-streamreader-basic-tutorial-py"><span class="std std-ref">StreamReader Basic Usages</span></a> (<code class="docutils literal notranslate"><span class="pre">streamreader_basic_tutorial.py</span></code>)</p></td>
-<td><p>00:15.688</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="audio_data_augmentation_tutorial.html#sphx-glr-tutorials-audio-data-augmentation-tutorial-py"><span class="std std-ref">Audio Data Augmentation</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_data_augmentation_tutorial.py</span></code>)</p></td>
+<td><p>00:14.502</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="audio_data_augmentation_tutorial.html#sphx-glr-tutorials-audio-data-augmentation-tutorial-py"><span class="std std-ref">Audio Data Augmentation</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_data_augmentation_tutorial.py</span></code>)</p></td>
-<td><p>00:14.695</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="squim_tutorial.html#sphx-glr-tutorials-squim-tutorial-py"><span class="std std-ref">Torchaudio-Squim: Non-intrusive Speech Assessment in TorchAudio</span></a> (<code class="docutils literal notranslate"><span class="pre">squim_tutorial.py</span></code>)</p></td>
+<td><p>00:13.652</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="audio_feature_extractions_tutorial.html#sphx-glr-tutorials-audio-feature-extractions-tutorial-py"><span class="std std-ref">Audio Feature Extractions</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_feature_extractions_tutorial.py</span></code>)</p></td>
-<td><p>00:10.000</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="streamreader_basic_tutorial.html#sphx-glr-tutorials-streamreader-basic-tutorial-py"><span class="std std-ref">StreamReader Basic Usages</span></a> (<code class="docutils literal notranslate"><span class="pre">streamreader_basic_tutorial.py</span></code>)</p></td>
+<td><p>00:13.503</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="subtractive_synthesis_tutorial.html#sphx-glr-tutorials-subtractive-synthesis-tutorial-py"><span class="std std-ref">Subtractive synthesis</span></a> (<code class="docutils literal notranslate"><span class="pre">subtractive_synthesis_tutorial.py</span></code>)</p></td>
-<td><p>00:08.130</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="ctc_forced_alignment_api_tutorial.html#sphx-glr-tutorials-ctc-forced-alignment-api-tutorial-py"><span class="std std-ref">CTC forced alignment API tutorial</span></a> (<code class="docutils literal notranslate"><span class="pre">ctc_forced_alignment_api_tutorial.py</span></code>)</p></td>
+<td><p>00:11.019</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="ctc_forced_alignment_api_tutorial.html#sphx-glr-tutorials-ctc-forced-alignment-api-tutorial-py"><span class="std std-ref">CTC forced alignment API tutorial</span></a> (<code class="docutils literal notranslate"><span class="pre">ctc_forced_alignment_api_tutorial.py</span></code>)</p></td>
-<td><p>00:08.047</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="audio_feature_extractions_tutorial.html#sphx-glr-tutorials-audio-feature-extractions-tutorial-py"><span class="std std-ref">Audio Feature Extractions</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_feature_extractions_tutorial.py</span></code>)</p></td>
+<td><p>00:09.814</p></td>
 <td><p>0.0 MB</p></td>
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-<tr class="row-odd"><td><p><a class="reference internal" href="squim_tutorial.html#sphx-glr-tutorials-squim-tutorial-py"><span class="std std-ref">Torchaudio-Squim: Non-intrusive Speech Assessment in TorchAudio</span></a> (<code class="docutils literal notranslate"><span class="pre">squim_tutorial.py</span></code>)</p></td>
-<td><p>00:07.914</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="asr_inference_with_cuda_ctc_decoder_tutorial.html#sphx-glr-tutorials-asr-inference-with-cuda-ctc-decoder-tutorial-py"><span class="std std-ref">ASR Inference with CUDA CTC Decoder</span></a> (<code class="docutils literal notranslate"><span class="pre">asr_inference_with_cuda_ctc_decoder_tutorial.py</span></code>)</p></td>
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-<td><p>00:07.583</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="subtractive_synthesis_tutorial.html#sphx-glr-tutorials-subtractive-synthesis-tutorial-py"><span class="std std-ref">Subtractive synthesis</span></a> (<code class="docutils literal notranslate"><span class="pre">subtractive_synthesis_tutorial.py</span></code>)</p></td>
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-<td><p>00:07.246</p></td>
+<td><p>00:07.390</p></td>
 <td><p>0.0 MB</p></td>
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-<tr class="row-even"><td><p><a class="reference internal" href="filter_design_tutorial.html#sphx-glr-tutorials-filter-design-tutorial-py"><span class="std std-ref">Filter design tutorial</span></a> (<code class="docutils literal notranslate"><span class="pre">filter_design_tutorial.py</span></code>)</p></td>
-<td><p>00:05.307</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="speech_recognition_pipeline_tutorial.html#sphx-glr-tutorials-speech-recognition-pipeline-tutorial-py"><span class="std std-ref">Speech Recognition with Wav2Vec2</span></a> (<code class="docutils literal notranslate"><span class="pre">speech_recognition_pipeline_tutorial.py</span></code>)</p></td>
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-<td><p>00:04.864</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="filter_design_tutorial.html#sphx-glr-tutorials-filter-design-tutorial-py"><span class="std std-ref">Filter design tutorial</span></a> (<code class="docutils literal notranslate"><span class="pre">filter_design_tutorial.py</span></code>)</p></td>
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-<tr class="row-even"><td><p><a class="reference internal" href="forced_alignment_for_multilingual_data_tutorial.html#sphx-glr-tutorials-forced-alignment-for-multilingual-data-tutorial-py"><span class="std std-ref">Forced alignment for multilingual data</span></a> (<code class="docutils literal notranslate"><span class="pre">forced_alignment_for_multilingual_data_tutorial.py</span></code>)</p></td>
-<td><p>00:04.117</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="additive_synthesis_tutorial.html#sphx-glr-tutorials-additive-synthesis-tutorial-py"><span class="std std-ref">Additive Synthesis</span></a> (<code class="docutils literal notranslate"><span class="pre">additive_synthesis_tutorial.py</span></code>)</p></td>
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-<td><p>00:03.372</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="forced_alignment_for_multilingual_data_tutorial.html#sphx-glr-tutorials-forced-alignment-for-multilingual-data-tutorial-py"><span class="std std-ref">Forced alignment for multilingual data</span></a> (<code class="docutils literal notranslate"><span class="pre">forced_alignment_for_multilingual_data_tutorial.py</span></code>)</p></td>
+<td><p>00:03.675</p></td>
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-<tr class="row-even"><td><p><a class="reference internal" href="effector_tutorial.html#sphx-glr-tutorials-effector-tutorial-py"><span class="std std-ref">AudioEffector Usages</span></a> (<code class="docutils literal notranslate"><span class="pre">effector_tutorial.py</span></code>)</p></td>
-<td><p>00:03.084</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="audio_resampling_tutorial.html#sphx-glr-tutorials-audio-resampling-tutorial-py"><span class="std std-ref">Audio Resampling</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_resampling_tutorial.py</span></code>)</p></td>
+<td><p>00:03.349</p></td>
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-<td><p>00:03.031</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="effector_tutorial.html#sphx-glr-tutorials-effector-tutorial-py"><span class="std std-ref">AudioEffector Usages</span></a> (<code class="docutils literal notranslate"><span class="pre">effector_tutorial.py</span></code>)</p></td>
+<td><p>00:03.082</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="asr_inference_with_cuda_ctc_decoder_tutorial.html#sphx-glr-tutorials-asr-inference-with-cuda-ctc-decoder-tutorial-py"><span class="std std-ref">ASR Inference with CUDA CTC Decoder</span></a> (<code class="docutils literal notranslate"><span class="pre">asr_inference_with_cuda_ctc_decoder_tutorial.py</span></code>)</p></td>
-<td><p>00:02.491</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="oscillator_tutorial.html#sphx-glr-tutorials-oscillator-tutorial-py"><span class="std std-ref">Oscillator and ADSR envelope</span></a> (<code class="docutils literal notranslate"><span class="pre">oscillator_tutorial.py</span></code>)</p></td>
+<td><p>00:03.068</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="audio_feature_augmentation_tutorial.html#sphx-glr-tutorials-audio-feature-augmentation-tutorial-py"><span class="std std-ref">Audio Feature Augmentation</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_feature_augmentation_tutorial.py</span></code>)</p></td>
-<td><p>00:02.270</p></td>
+<td><p>00:02.274</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="audio_datasets_tutorial.html#sphx-glr-tutorials-audio-datasets-tutorial-py"><span class="std std-ref">Audio Datasets</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_datasets_tutorial.py</span></code>)</p></td>
-<td><p>00:01.829</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="audio_io_tutorial.html#sphx-glr-tutorials-audio-io-tutorial-py"><span class="std std-ref">Audio I/O</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_io_tutorial.py</span></code>)</p></td>
+<td><p>00:02.217</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="forced_alignment_tutorial.html#sphx-glr-tutorials-forced-alignment-tutorial-py"><span class="std std-ref">Forced Alignment with Wav2Vec2</span></a> (<code class="docutils literal notranslate"><span class="pre">forced_alignment_tutorial.py</span></code>)</p></td>
-<td><p>00:01.751</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="audio_datasets_tutorial.html#sphx-glr-tutorials-audio-datasets-tutorial-py"><span class="std std-ref">Audio Datasets</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_datasets_tutorial.py</span></code>)</p></td>
+<td><p>00:01.942</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="mvdr_tutorial.html#sphx-glr-tutorials-mvdr-tutorial-py"><span class="std std-ref">Speech Enhancement with MVDR Beamforming</span></a> (<code class="docutils literal notranslate"><span class="pre">mvdr_tutorial.py</span></code>)</p></td>
-<td><p>00:01.742</p></td>
+<td><p>00:01.784</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="audio_io_tutorial.html#sphx-glr-tutorials-audio-io-tutorial-py"><span class="std std-ref">Audio I/O</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_io_tutorial.py</span></code>)</p></td>
-<td><p>00:01.681</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="forced_alignment_tutorial.html#sphx-glr-tutorials-forced-alignment-tutorial-py"><span class="std std-ref">Forced Alignment with Wav2Vec2</span></a> (<code class="docutils literal notranslate"><span class="pre">forced_alignment_tutorial.py</span></code>)</p></td>
+<td><p>00:01.714</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="device_asr.html#sphx-glr-tutorials-device-asr-py"><span class="std std-ref">Device ASR with Emformer RNN-T</span></a> (<code class="docutils literal notranslate"><span class="pre">device_asr.py</span></code>)</p></td>
diff --git a/main/tutorials/speech_recognition_pipeline_tutorial.html b/main/tutorials/speech_recognition_pipeline_tutorial.html
index 4067eb6b06f..6ace6905605 100644
--- a/main/tutorials/speech_recognition_pipeline_tutorial.html
+++ b/main/tutorials/speech_recognition_pipeline_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Speech Recognition with Wav2Vec2 &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Speech Recognition with Wav2Vec2 &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -494,8 +494,8 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
 <span class="nb">print</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="torch.device" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 cuda
 </pre></div>
 </div>
@@ -507,7 +507,7 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/106k [00:00&lt;?, ?B/s]
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 </pre></div>
 </div>
 </section>
@@ -550,24 +550,17 @@ <h2>Creating a pipeline<a class="headerlink" href="#creating-a-pipeline" title="
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &quot;https://download.pytorch.org/torchaudio/models/wav2vec2_fairseq_base_ls960_asr_ls960.pth&quot; to /root/.cache/torch/hub/checkpoints/wav2vec2_fairseq_base_ls960_asr_ls960.pth
 
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 &lt;class &#39;torchaudio.models.wav2vec2.model.Wav2Vec2Model&#39;&gt;
 </pre></div>
 </div>
@@ -617,7 +610,7 @@ <h2>Extracting acoustic features<a class="headerlink" href="#extracting-acoustic
 extraction and classification with one step, but for the sake of the
 tutorial, we also show how to perform feature extraction here.</p>
 </div>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">with</span> <a href="https://pytorch.org/docs/stable/generated/torch.inference_mode.html#torch.inference_mode" title="torch.inference_mode" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span></a><span class="p">():</span>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">with</span> <a href="https://pytorch.org/docs/stable/generated/torch.autograd.grad_mode.inference_mode.html#torch.autograd.grad_mode.inference_mode" title="torch.autograd.grad_mode.inference_mode" class="sphx-glr-backref-module-torch-autograd-grad_mode sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span></a><span class="p">():</span>
     <a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">features</span></a><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">extract_features</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">waveform</span></a><span class="p">)</span>
 </pre></div>
 </div>
@@ -639,7 +632,7 @@ <h2>Feature classification<a class="headerlink" href="#feature-classification" t
 them into a set of categories.</p>
 <p>Wav2Vec2 model provides method to perform the feature extraction and
 classification in one step.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">with</span> <a href="https://pytorch.org/docs/stable/generated/torch.inference_mode.html#torch.inference_mode" title="torch.inference_mode" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span></a><span class="p">():</span>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">with</span> <a href="https://pytorch.org/docs/stable/generated/torch.autograd.grad_mode.inference_mode.html#torch.autograd.grad_mode.inference_mode" title="torch.autograd.grad_mode.inference_mode" class="sphx-glr-backref-module-torch-autograd-grad_mode sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span></a><span class="p">():</span>
     <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">waveform</span></a><span class="p">)</span>
 </pre></div>
 </div>
@@ -738,7 +731,7 @@ <h2>Conclusion<a class="headerlink" href="#conclusion" title="Permalink to this
 <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">waveforms</span><span class="p">,</span> <span class="o">...</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  7.583 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  6.359 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-speech-recognition-pipeline-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/a0b5016bbf34fce4ac5549f4075dd10f/speech_recognition_pipeline_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">speech_recognition_pipeline_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/squim_tutorial.html b/main/tutorials/squim_tutorial.html
index 16e2d58c9f6..f89e04e3f6b 100644
--- a/main/tutorials/squim_tutorial.html
+++ b/main/tutorials/squim_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Torchaudio-Squim: Non-intrusive Speech Assessment in TorchAudio &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Torchaudio-Squim: Non-intrusive Speech Assessment in TorchAudio &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -505,8 +505,8 @@ <h2>1. Overview<a class="headerlink" href="#overview" title="Permalink to this h
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 </section>
@@ -588,7 +588,7 @@ <h2>3. Load Speech and Noise Sample<a class="headerlink" href="#load-speech-and-
 </pre></div>
 </div>
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 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">WAVEFORM_SPEECH</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">SAMPLE_RATE_SPEECH</span></a> <span class="o">=</span> <span class="n">torchaudio</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">SAMPLE_SPEECH</span></a><span class="p">)</span>
@@ -700,8 +700,9 @@ <h2>6. Predict Objective Metrics<a class="headerlink" href="#predict-objective-m
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &quot;https://download.pytorch.org/torchaudio/models/squim_objective_dns2020.pth&quot; to /root/.cache/torch/hub/checkpoints/squim_objective_dns2020.pth
 
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 </pre></div>
 </div>
 <p>Compare model outputs with ground truths for distorted speech with 20dB
@@ -774,25 +775,51 @@ <h2>7. Predict Mean Opinion Scores (Subjective) Metric<a class="headerlink" href
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &quot;https://download.pytorch.org/torchaudio/models/squim_subjective_bvcc_daps.pth&quot; to /root/.cache/torch/hub/checkpoints/squim_subjective_bvcc_daps.pth
 
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 </pre></div>
 </div>
 <p>Load a non-matching reference (NMR)</p>
@@ -844,7 +871,7 @@ <h2>8. Comparison with ground truths and baselines<a class="headerlink" href="#c
 where y axis represents the estimated MOS metric score, and x axis
 represents the corresponding ground truth.</p>
 <a class="reference internal image-reference" href="https://download.pytorch.org/torchaudio/tutorial-assets/subjective_plot.png"><img alt="https://download.pytorch.org/torchaudio/tutorial-assets/subjective_plot.png" class="align-center" src="https://download.pytorch.org/torchaudio/tutorial-assets/subjective_plot.png" style="width: 500px;" /></a>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  7.914 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  13.652 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-squim-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/c943e35bc7cad6e8d9b1df2a7034a8fc/squim_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">squim_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/streamreader_advanced_tutorial.html b/main/tutorials/streamreader_advanced_tutorial.html
index 4bd3f80711c..3ac8a545716 100644
--- a/main/tutorials/streamreader_advanced_tutorial.html
+++ b/main/tutorials/streamreader_advanced_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>StreamReader Advanced Usages &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>StreamReader Advanced Usages &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -487,8 +487,8 @@
 <a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">VIDEO_URL</span></a> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">base_url</span></a><span class="si">}</span><span class="s2">/stream-api/NASAs_Most_Scientifically_Complex_Space_Observatory_Requires_Precision-MP4.mp4&quot;</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 <section id="audio-video-device-input">
@@ -900,7 +900,7 @@ <h4>Pixel manipulation<a class="headerlink" href="#pixel-manipulation" title="Pe
 </pre></div>
 </div>
 <p>Tag: <a class="reference internal" href="../io.html#module-torchaudio.io" title="torchaudio.io"><code class="xref py py-obj docutils literal notranslate"><span class="pre">torchaudio.io</span></code></a></p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  18.680 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  18.650 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-streamreader-advanced-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/21502c17878277ad648c064df573f05e/streamreader_advanced_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">streamreader_advanced_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/streamreader_basic_tutorial.html b/main/tutorials/streamreader_basic_tutorial.html
index 420051a3e1e..4a80bd5682d 100644
--- a/main/tutorials/streamreader_basic_tutorial.html
+++ b/main/tutorials/streamreader_basic_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>StreamReader Basic Usages &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>StreamReader Basic Usages &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -518,8 +518,8 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
 <a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">VIDEO_URL</span></a> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">base_url</span></a><span class="si">}</span><span class="s2">/stream-api/NASAs_Most_Scientifically_Complex_Space_Observatory_Requires_Precision-MP4.mp4&quot;</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 </section>
@@ -993,7 +993,7 @@ <h3>Streaming<a class="headerlink" href="#id2" title="Permalink to this heading"
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_streamreader_basic_tutorial_001.png" srcset="../_images/sphx_glr_streamreader_basic_tutorial_001.png" alt="Iteration 0, Iteration 1, Iteration 2" class = "sphx-glr-single-img"/><p>Tag: <a class="reference internal" href="../io.html#module-torchaudio.io" title="torchaudio.io"><code class="xref py py-obj docutils literal notranslate"><span class="pre">torchaudio.io</span></code></a></p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  15.688 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  13.503 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-streamreader-basic-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/dc81b404e96c6cb650e0c5a8115bc1f1/streamreader_basic_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">streamreader_basic_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/streamwriter_advanced.html b/main/tutorials/streamwriter_advanced.html
index 651d8cbd2df..97a4f644c79 100644
--- a/main/tutorials/streamwriter_advanced.html
+++ b/main/tutorials/streamwriter_advanced.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>StreamWriter Advanced Usage &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>StreamWriter Advanced Usage &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/tutorials/streamwriter_basic_tutorial.html b/main/tutorials/streamwriter_basic_tutorial.html
index a61fd6694ee..c13b602d71b 100644
--- a/main/tutorials/streamwriter_basic_tutorial.html
+++ b/main/tutorials/streamwriter_basic_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>StreamWriter Basic Usage &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>StreamWriter Basic Usage &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -500,8 +500,8 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
     <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;  </span><span class="si">{</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">k</span></a><span class="si">}</span><span class="s2">: </span><span class="si">{</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">v</span></a><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 FFmpeg library versions
   libavcodec: (60, 3, 100)
   libavdevice: (60, 1, 100)
@@ -957,7 +957,7 @@ <h3>Write Video<a class="headerlink" href="#write-video" title="Permalink to thi
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/pytorch/audio/examples/tutorials/streamwriter_basic_tutorial.py:566: MatplotlibDeprecationWarning: The tostring_rgb function was deprecated in Matplotlib 3.8 and will be removed two minor releases later. Use buffer_rgba instead.
   frame = torch.frombuffer(fig.canvas.tostring_rgb(), dtype=torch.uint8)
-/pytorch/audio/examples/tutorials/streamwriter_basic_tutorial.py:566: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /opt/conda/conda-bld/pytorch_1713858122499/work/torch/csrc/utils/tensor_new.cpp:1544.)
+/pytorch/audio/examples/tutorials/streamwriter_basic_tutorial.py:566: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /opt/conda/conda-bld/pytorch_1714635829374/work/torch/csrc/utils/tensor_new.cpp:1544.)
   frame = torch.frombuffer(fig.canvas.tostring_rgb(), dtype=torch.uint8)
 </pre></div>
 </div>
@@ -970,7 +970,7 @@ <h3>Result<a class="headerlink" href="#result" title="Permalink to this heading"
 </div>
 <div class="output_subarea output_html rendered_html output_result">
 <video controls  >
- <source 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wWLpAc1IK9vAAAALEGeQniGfwBsFjqOt2MqzeAE0yNG1Mkl0172BfBsgjqZOERwCvgPDlW5O37BAAAAIQGeYXRCvwB27HbPVkV9wA3M9kmvOAaHbzkpUOE0bZ6yjwEYNaxQtpwFlDWUEu8qKqEQXUXkdZLvAJxcETwpPDa5EovyK+k+mJGxmXdb9ekEVl7rAZRD7Cmn4QgVAReHeG8NyR0x0bizkrtb9Rs6pG6qKBlmwzoy8mOme+e25cflMbS2Ao3IDTz/MbyClnmF2Ow0lmc1IRGTMha5InirCL8/bJeb/iNNWvwFa+cxYSehDSLeu2Wacpo27BpJmQRd7Cuq3+AXqYHyv5tvh+eDkKQI2TSkEoBe9OQXHQMkYk86VJovS2Le7IK1m/jVFVlNZNsqQr3aJ+ySoTus10WzQtL70UluaR2Rz3PVWJX/AihUNhcoNSX6Ci7InSzKy6S6ncdNqTRCLAo6UYTzu2y9FkyqvkklabCsibHzGlKNIG+micc3veJdck6Npz05T1m+qchTRP/NBVaDSNYLZR7buyi55M6ZK+OexEl62nv7qqpTpmg/llGulzQ63vEVn509T0DMZ0z14SPt4DY1qo8UkDhW7UNjN3xjQVnSMMBL9cAAAAAUAZ5jakK/AHbPNpYkH7P0xWsrkEsBGDWscYZsDOKq+db4ZKtNrrVWpKiK4zztq8gIY0ZK9H7Z+089ew6EnYvGjHXsH2XzTOr22RE7/yv7OwqNBhi2CZU2ByCpPYyCqIEJJYzSaqBoIH7GTLc+dbn+WUk6IEEmLOTntt01XoIEiwkPkpQqEpuQElAJi5R5J3zwIFlpBbvMCHLSqWC2h0djm0m7qdGpX8q93piU+vVHjuQIU+dlOnNqXEF1lZ50Y45/czxa2sbnVZuNVl3XFmOd6Voz0ddNwuqKpa7zAUnVeyUdsV+ZD66jf44eXIq4/cwR5Hx2dAz333xl2YAs14XV66y6lcS9L3foBivuk8ASXlftEoqY4/9hUZ30qLQgU1dX35b9a4Rf+ucx9t0tuvb3+ujI71v0ALjhPlzOmrrgGw7n1ai8Mnnbbhuvbv+nWzvEuV+l5eU41YLw098k+ndJ07rH3+PJ8OxQuXcFnZywprk2mGyjIQ+Je/EdWTcOBCnxyqGGvBFppKaSKYCqiMy20mQKHKjxXWuARLKdG6fLBEfbZZtqNQCZIeWtIEJYR0cF0US4tkg4qCKUJWk4AAAAbUGaaEmoQWiZTAhn//6eEAI99lgsyPD49mgBLJKvD3NUEHtE4E1jBvuOM1GaVG5qtFryuZnIvhiBeTtdfGtM9DF991+2z9Po9LMrlZoLXw9ZP/E+DcZ7MNrXDFDwCT5qevSboFqouh3jff+Xl4EBGDWscPasEXxzfLU3bruLnOk3xu81l5LycRL1zoE8PS/SdgVOCgUNPKn//Lgci0j+d/F8vRfz86hLyj8eCWnMHEpgMnJHOggfBESZSEO9c0Ya2njDY7NoeBYhBk8ZgiipwAhoUk6xODqUpkzF2MUb2OGk7smy9LRZz3ySQ81VmNsl1WcgkgvI2yTbduH+46Yl2iE+3RTrP98q5Lvbmo13X3pZwfRGEed8pJrehAzkHc5MXKS4pB0XYcNSbDnkZjTYrFvlhyC4oGFiWzZtELqa/bLyH95N3V/+X5ftcOrr+AGlSHM3OadiW5a2KXtesmCvNG+iWX0vYyT5dleFMt89FfdoXBq044DNjqAKKhrGabhmmXuvOi3Bqb/ZYt92O/umPGbqDv62jScRdxjRRdbrdvV2qHVYWfmHzzT0lk9XDS+nhmqaYLfHfMlKYIMEtOAsihLSPUJQ4xTLVT0I70yRKeBrZmCf4z30UWZaR5zd9mRNaGMpJ8JzynqviCByhV4XFkosAnmeIQUm+eGI3ImRU2rw8fffFcRL7ZypJFJGTWJiZi4dJwAAAEVBnoZFESwz/wBsGUyX2QHqe1IlQASNovktSdNLeVz8noKfdTAxL7570NTt0t4Y3qdnOY9ktyumYJPsRvv5/fnCDLCG75UAAAAcAZ6ldEK/AHbtFCtKWvRT9/DHArkQk4Xs8xd/2QEYNaxU5oQFiwVKvjc5ta6lZK1WsSqvNXz1i+Mmo2CEkBMzaereDljMOXMgi87YHgZWpLO5hzHbMKTf6oy16qm5aBwA7MktEAAV2QWuKMu5pe1TEpDSHFqZt9mlBOF+a8je1yty7Ewwp9NCM+0fLedjhtsga4bVObFvAwNbU0c5s8quMW8W1LZhIbCc26LyunLVu0n9dJYrM+Oyrs2yRLTQDa6+aT4xdP77qAtlvqV1URFN9UtmdFDQGPV4PPZQ+q8xy44UHkoJFCXKe/ruskCcsh5visKNzXsaKWV7G3T1u+Vt9fQ+HO+oV0Mt+7tupzktFrtnAbqS1sO0A9Ml112NoSV9/ufffJQ6otztBVrZrjyZ9W/x2U6uhu2PZ/zTZTdQ1NzxpXzLZzui7xJHayOueyutaJgZClAdlApiFuXCkGkEobsB9AoindSma4qQKBAmKEiCRRaBTKM7ARFibeGpZ4RQq98BDLSUmvSTHV1dCKxLY3nIyFsFRCWEW0BwEVFrgZkQykEov4JmGjpS00JMTNmzTQuhfA0RQCMoKKYkwjSTEpJ0IGkqcTqcAAAALAGep2pCvwB2x55eXu+/AEQe06nAPNYN3Vg+Oytiehig7UP6rDRiMSRv+eF4ARg1rLC2VAWJA2NAy89u2svfHOqVE1m9Vc31hFy8lligFVmii0/+ElN3r0/GsJZOwxvKrUs6rhsOw2/ZfcodpTvGSRHhgIETV069sF9QSYazWbOkMQkikfSik0opTg6KO2+55+qInSpbLjfJFuUpyhpUKu+TzWPiNScdUs1MjXVNcFt+IGgXwl4viHknxGZZ596zTU66Y5Vz6K64rMQlNlNlejmnUzUN1APbXbpmS3ONaL3aZx2qS/Pf/Gzrdga61Nr0bbKDaD2sJiESKUYqKgWXKySBVdbbtmt3sWjYisbvenlRdgX2NUmWMYL65CT7TFeiUFvNrBx0/FuseGF1oMi+jSeMqV93TDqmOS3nhAYXm8qrvzLKZ+yXsSmjj1STY2ZT+gvCS2u1P2BhiDeuQLLK1fHVFj2JXsairhJTWl8nLUeFM8wdf4u+3HHXlGP7RFj9kLuLIolgmk1y0b6y1cNgOFEA0ySiksE8UiF9spzRJkFomRMUYsaalJFVjlxZ5kRjSIbMEgMePFwlSSo0yqGVKfwDeppiikkxkl0EztpjRiKfDG7DgAAACHBBmqxJqEFsmUwIS//+rHwOUH//yzpuQWBnoDSCZ8TyNiD2r37Fger+/Pd27ez56Cvx+0YqUGBHglVwHpm/CEoSHkjIpUJ136b375rr1cluaXvv8fkdiJHHzTArfvCzSC4oFHMw7wdFcx8VBLPOrKlgyLCB+Z6YxmSGSc6zc86mBAfhTUzqrMluORw+7eKsZaJvaQ1072gXA6m/KTM0sUNnMw8BEBu74nw4ye6lBbjfUOmoN44tfOx2tjR87tqVC8zg8vnQ0wJ5iwcHro9ddLcUN8Hk6eaEES+RwQuBTcSMuSUwmGB7FxDauxDW/gZWyGefHZiyfNkZvfCCmr5ZWYobwwE+RweuVwknCy5OJi72CySSC5ra3Mu+bBsGFe8jz+XnYNjtmUgfeZYxJBiuMZ7Wjsb5ZgAjRaK02UkXJnqS5ja/Wy5SfsipC2+936qPwZM2AeGEJ+R33X6+w1ZKlLUxt1zxdC6nD1g9YYjVqizbaC8IcBx/p0mmyT4sIWFmRV53TsgA7EwlU8o5GwdpQpfcSpZF/FHxpvNZCQqztMWJgNsuZ3PnTozcUHE7q2MLWZowH6gAXU2v/mimhbtVijRAiGb8JXxwM6MXp0UnBYnTfZUXFLa+t1B/hZ1zM/ajxMhsN2vKv+VWgvn8jnVbRdzvOUU8oNMqf/V6akrxYBa0wzIF2wfUZNKHM9EGhIAFcsacMU4RUY2Yx97IE94FX9nGsXBeuhOUTeDFuE6GHgIpSoWjjjGoofGRJF9VrBR0/kB+ZSCUZhXCplWTrnioB7IoqveUnAe5NcHwJfSHgecwIqg82o4euUgYMTmrKtN08QJ8gJMzosvfJ1JmpYhErc1iNP4pcvShYbWXxEQFPV8Wasaik2lmJF7Xu3g3Ye6UQvOY0zYfgZNvc7MaFjC/82LnzRO8pmUGcXzxORd2/KMwGS+wzK54X7v9y9rwfLs9J2c2RJkKJd5i+BR/pkw9jv/CxTK6KIQa8vkEPnwYoQzgSBUSAU79TXMlkm9WC3jUq/Yv8ZBHX3OEYTsgvDAcV9tb/NDltuJKiHcHPVq1RbWWEbz3K5ujqMZyZAWzyo0tUFN6FtK9ty6z/h1EpxUIoMX3ypIHhkQydgHJG3Akr8+8WodaYu37QbiwRLlVREO7ZnSKD8OajlOTvRFeYcvybZ0qYb3bEaPq8aqpeB8l6Z/JgFAsa32YGEZFwTQVkuWuTL2HAGngr/GBc5y6vgsiGJQ7nIKoFD2qN01MuPs+KEynX5B6EDxbX+z+FC60TOS/rav0BA0z0uDC5sSZs6QJJPeqb/g1T5FTkHJssTjID+GnVwPTjK7HtasdRbsuWY+CRq4EU8fU1dkN1/SZc1pqpHnfVB6ap9DXrMJVFWMvKHX2t0uyigPS9MjABHfvDgrPOr3LAgzTrlPsEYZfNrQq9JUisFO9blCs4Ptk+aui9Qfjna2Uy8AXhMq3b6xsDTSK2Ww8SQ8Gex8ViQpzHbeFaH6bu6iQWrxmZLGN3ZbV48qlUgUbozwozaR2fKmYvUsRCGvMuQDoSu2t4DFJsXxgdpeOQtwyGGZ5grTqAIYDzKvSjvjYMUjtDTipkIrphzQfP5cSD5bnu69qH3WgP5axB8/bOPPJrxPY5Cb+FshG1jUFRnLQIGX8kswN5OU0eBkxzlY/aHh+k8ysL2f08TGhFE7gUm9dtYcxWPQjqQdak6VblFZZwME+HNH8ejbFOiQPeNh5mkcsTYQbwUOTKd9q9+GNxtDP/5VyUUql+eO8l8swO2BNLAzZ9M1PbiJzuGizoXVAjYknvmhFLu4xtMMlf/eMci+fP1NLzzS7Tn8IkrOqRQJhAZP8NYaULEa2yki7Ba4sGkYkEjtYZCMqUs3KZfXxdhXpDmBd/xJjbgCNr4HeGEpfq+BUFNDE6fR7ec6gv+7AA649arCiRih3jVixpIqFr2zpiEJfPvUCTQw5r0MljLKNNutKkv70/PfxatWUMJxsYqvc6DIgs/J27iJc36goZhwQyzBt99pykBLskqf8d1Ud2PPypQQqjTXBZj32aa34iygxbpDezHlzBn9STrCMippZLU+ntC3l1ULUs//cEd6sAaLQPWM9LuTA6Z+c54S7Z/kYrqqiCoQ0O9+AYjAi8IxzGJwxSgmzTTIlwI4zDEvBw7IV/27YluD/Uqho/t9UBLlzz8ZRAPtcbpDT1uBYRUT/2aNBQd+PdGgUJi4lerurCLYC6EpDqG9Q1cMlKaD27m+klxdZfOAuxrym4m+WgfUhdhb1D2XssYOBXxOXAP3/4P0wAzzKniU1HsBxq0ie2ZzAfvJj4ga6h9S+Lk1wV3xcJqWVcZVzAg+CZa/AqUdSeQG1zXeY8lXnzJXZSVXsK48USDXY1FEPvt4zllPehewxQTBjJ4B5I8Zrdcu/V16vk5DN4E6JPFtXETYxl1Iwo8pmgANw21d3EDVihmISclOp3e9BK1uRafkUrohGXzM9azPiQHpt5ekARDgdZW2tOYFlKrLo3omTGNE9DBkH50P8hmOC5B/evvpFOXPLuFRR28Ws5jihbIcuJeSAPe0hnMjND+3J6i+QmIJePDUTN//csHKLIAuNiyWj7kCAmL06L/D41DEptuMsX99TAxMnzWEttwEtnzloHyKeLzslelJYJ43xVjgprBGtFeraTuWMMqDuTkksS2cyKS2/5r2iKsyPSAX4PrZ6r16xckR/PxrPdy7y36rF17Oq0SX+Er1hcb/WWWm/KujjH4oEBief/7bFGblAFVhHm5hC0e1ZKnec5Qm6vImTO86PQXvWcmMR0MLmTQzzaWs9YlpvhF9+YjgXZ4EUb8/YE3W89n8hfvOSKvemWHm1sv/6T7IE1LayTCbgr0FBdSWSohRT+pQBGFWsdEhLZgQ6nfnu+XnK1My9+cqZxvU3dSXmsrUuAnbsklQCQjEjktVWv5t5X5QjRyOLeOnFQPbdqv7CsorjHfd79nL+MDLgFRrtx3YYXKVGu02vK3kiDBMAtZT5TysHSnQFS7eQ1zWK6l7Y+NVx35BRdVeu2cLQAoObypZgiPhkEmUgNvivBbuJTq08l4LvOaqqLS8/U3X15zV9tD1nhTWK0UuzXclX9bL2tuslQY67du94lGyAMZH9yOZ9fQrFuvDw75Ly7TC0Se4Zebd0laLJfG14p7XiMV6CUez1UDJdSHcfDq1eVZt1lFMzskVTP2bHVHq/WnW9Qiyz0ZW+SJ+/vy4z9VsqhCePPT2U08M5da52J2MFxN5e+fKceq7ZdFFg2Litmee3xFpFzzz0uVtwARLE88LAlPOhLLZp0iahnZVKxXd9E89Bb5++7vnbpnUyhT2dnThmNskt9mfSm30bIcaRg/puhjSy1pz1gxQQfWue44JDFjPfLu4Q4Flx6ZaMFahJXPtx8Vowct+fPJURBDINHVItYgacCZek4AAAAONBnspFFSwv//QAQAi2AafRUANf3qWMlN0FxceqqUynnoT804IqPhjy0fb9uzZ6bgpy0i0tqJKPdcyBzucZ+o1dUQpuaRolWJts4oyl9Xe7q70D4hVEI/fDG245ttjc/UwzkKKNcc98d9MmaGT8uNVf0GErbu/Xz8cpp97cKQTtqbrDqjtFRy6zSLI1lOfcP8E95V1Km7DXNBfr/kZJ0QEox/tEEnDVajxfnrfWZF8IuUWWmzcB4nLaHciKrPWpqY0mzeAessdCnegx+lJ01EaIRdIY5hUO2qtAZH1hPswaXKmRgQEwnm0oMSCF6bNfi/zf5ffjM6Dl411xzIvjPmea9/iTfF0yeS/7f4KqxSVE26sBgW3ccQAA3ZIFHrND5bYRvxsKIgQ25SoHYNCzO7pcsVOq0nwdSjElfSN9JY61AQXOWGRTFyGx64r7lxt8NtJbA1vL9x1+xtsUzlNVL1Gz1hTZjkODlKSOKBnEjJXPRO+SXhbG0fMhcyUSna/ScKkbL/GHSWpnXpTPsZEAB0NPP2q+dFQniOO/EMt1iPFeeIJYeUR+ZhNl7U356hnU1z7U13xRuzuzPPploB85IpRn69oqq7zynl/uvtwi5pFMUjJhkXv+//o5MBeMkY79k+F57wcvK7/wGDUpPkfYI9JCCQIObCYV08QQL20hHPWqceCIgTb4KmWSdKJWqZKfUJPMSgQiQAk48MguVlmZRVm2hEYEYikXMPfux/Y/N9QYALBATMLVeTi9cRHBCSmLu2UiXWKpCy0DhGVMS0SXUPjWTB2IHglkWzzR0ZFeNNbu+4Z+Lk4JKALAhSmCq/7WHZNHXsyg3v27UwSIVZWBdcGUDEwj9F428kdnGE9wK8aV/COv+0TEHA1kyErIvqtngw7hhK6LZ8z2NfY8dqgi+DOp8hzNfk6ybPhyqaVFkkkIEgkgxiURDbaic5UzwySIFSgoqpySSgt/Gtc5FRcqIn+FWySSF0MD9NJkDBx0OKpSS+LnwkqPgZOtLcL9H8STEAkFFRAzujH0DZHMBE8XJWktaf+UooupBJ6iK1Z0SSCSXlkWwc6g6wl9JFCiS6pO+ojaYSReIojEbN+xY2dIxKTVIjqkatDOkdwPcsjybSINQTgOJCtY+EReqi3StBmQBKlAJtYRXL4tJSYFFmIyTkhR7pgZMnk1x5ZD1DxkShBoZxA46GJ+BzrGt2FMq/FMgEJFgVynhIU6g5uk0v18kMEnIJHPUB6yTKoSRk1LM8dJvNXYSEJ/hxNjp9SQhzSVKRgtIjdeSaMkeiThQyMibZjyUSHUhKGDgYCMActJfhGNAooRFUgjBEQCOhBETxcgjpPPFK4p1H9TJyi5VhETlJBdU8HefN+Tw51DPiOv4LHuhZMB6gBaw/Ga2VQZJ8g8AAAAPgGe6XRCvwB26BrQBQCRII4PbbIUv3YYTFBDiIC4Hs4yG3tG2akQ5cj1wmoTqsYXge2x5NOwSFX1icQvpxbVAAADqgGe62pCv/SmLRYD0XwNf/MAXmXXJ12z+0LVbtcJ+7Zu/LWvfwq4A6oBeqVKFIoqQkPf8TZcvqMmniJXC6AgRGKtMIZ/+45+TAhmg1yXvfwWGzvmdIVd3a2RNiIkuM5GHCaB1DYu4XtRWdQdh1ODM5/LmStK7Ne67LmPLA9zYR6/gv+1sKdJMXzoKzpMuWLRJ8r/oZP6aSGSrii6r0pKlXGqtDSOcj/xHUbDuZmHc3uqkihMd6/Gd117faUyHCyZlofcUI0kZfv/OxBXI/xSr/3ZSEzf87dy924ZyJrcoZ1wlei2TmYXRv8SH9KLvjiJYKniMOX/Blg8MJGLw6ErKMHfBDb1BubrNK5zC8YBztUDIKVXwUuHdx7V451IkDHlIDVXGBj4HiLw0BCtAtOByC5h+eN/vczDxqBCRy7kqHCOUs3YEe6VEOj2J3ckr/hsYKMlmIakx9XZtssjd00PJFTeKXypmrg6Hj8eUM//jtEp3Mfg3HmcN/tpOPy0h4HUlC49CqTB+KlCYeCakYgzdOX46EybjB1YSJ17FcK6fOLyjKZS3uKlueAIMvLLYDD3LvQVGHmIflTxaXSCtyunCTMzsbZ+gzX+RCxbORrRZ8uRqafE+9XpTPx+V6r6hqfRiM6A6LOsKg4MILu14P+kkLH9F+dnsPwW8coNMMQrbs3o2aqCmtMclTH4UftNz9XH6t1YGk1u4u6xtdjuDnRg17qwBtWRD/Ni6GTiPPH8Y4z4aLLsif7Zrdux+PUWqrZLwl2lpPTa2Q1vQy117q7dbqwFDEmtlcOVL3NMM+eqe3twRoupJ/4B1kkPVXvQiuMuteykQDqgiBEf19xp8PPUDipHEgv4K7hWNfKTv0PU2mwwVZM4auZEPggW4XlB3UEEYm8eNCTjAAzg3JKp+YFVJcSuFgWT5LbbV5YHEMbdH7q7H3yNrzyG5gJeRAMiy+Q6JkT7rP2GaUpMtawCB/29c9jUWfjYQT2pjYIWwsB3p3ESbkygQ32e67Zfr/agjwGrhGS0qnBd10WSdjtbwo3861EH6GNMQcLgf+anXNjCsyay6P9UfKk3xwNXr6hKE1pO7atXHfLwQZ4KvP+giaGGyOlc3/bKZMieeICsyvlDzCjT701OSL/pFheZKHDjtHEmzNiebnf+B4e9oh6z8DNdwfDUuVHHRKL6BkA/CDt1D1DfeZdWMAxA7R8QLgHgMp4TUj3xTvzYu2j1K4nM8/UHUHRJ9pRJ8ED0Wu9wARKebspi5v83iTKCyNX6zZxuezeO+M6nv/3vH4r3+o/S/vv/+z9yZ4vSTD3+4Kg2O3SifyASodZqj6QTyFH96NH20Btlyt1nZ8/nWXzRH6RGAmUZeBPmcWcyYARx3kTMKf1k8tiSeclVnLJxS6r8pJKia2I4WgRg0yYmWfQJEokaNcjCxJOVgieb0BPG3yFxtmU/bJ+H2laAyBAEAHIOkEDyiEOKQbA/uZa+02iInShE3YUnRgk7Libz/giCBECxCAWVDB/f5PVUSLRFyNjJjiXW04qxtQPXktjipU06clxN64qPBbQZbsDcpEMthmmPj1qEhLB/qhbct4E24EDRD6dWiDjfcPCZqT8Tk72zylaGB82i2qeL5e9qCeXdfaxtsQ+ycCiUBJou9TkpfzMCCbCKVqnk//24YYC4CgObVkJgUGnK+j8Kt4ckh0HBJOXRYbrYYblRGSt7VVHyGe6R1Jq2fwE6VHIUq861N+D0WQwOEIZnY1CChgE1WbTgEMnpyFiH2/Iudx/Syd24TsYTvORCYlEyqJtrE8bCeT/3vf5IcohRllM/+e38eJJiWDBEGz52TAMmdZOTMJy55NhiDYRDM6HE22gT1OLh3v5jISs0QhySAyEzmYHh5QDj8X9P57/T5b7rJ0opOG2WxUMmphSYtGhUhGgXY/b+t+HKsgdOaU1NIdI1CQynUUUtnbjPJTR2zfipDcSQQQxQADEnYLWCFRRQEKLdaEQCAAAWteasZqH9f8x8vUynZfwAAAmcQZrwSahBbJlMCEv/+X3jAO8B/S/Ge3o4l50n0uy9MDU4ZMMYcCCac3sYYUrZtbDYgDZPGVhR8jH6T59/Wmo3XfcJmlmv3N4X3ab+2Mlk45eVaAruxcpBgBbl3X9KsB6nc89S1RLuHEcnUimjo9gqPtuRI8hZKmPwOIdRF9Me+nAWH3JwS9KddXUlFGnpLNF1YGVXRqxBERsFKKBy8K7gQT6MZjplSeq9cB0DZALZA/h0CjXHAUgqXVf10ay3DizPv87/fXGPDeGPGrYFII9ugwBuAOzvKmPOwZCtlov8357BWS3IEP6RWnKZmppYEqNt+MYAUPCuWhUFfuqqDp/7sf/PtIT7MkH/pb/xhUbLdqzBOGxXA1yLt7zkOaKua+0+FIv8RLHaNyF9VhNEI0rL/FGL5HrytR6Gr4p1gVQ52D2USImep9MdA16OIWmImVamLOoHMvniU36LmDtxYCXjfJcrrfpk55WldA6gIobdYDPbrOJIUNMcABzjPgP4tTj4ZONJS9z+lSbhAMzDKGHCNG2yvxnZS0mqHEl6NTaBnrqXL5ig/v2oKCFB3fdqi11CL88j29riiOY/t2rN1n1Dx1uz/mfhL8UB6M8F29me7WP3kbfr+6qVDBjQ+iRRtdIiYzLVTBCVvJ/AbBSgq2s8Rwi275x5XX9xdY/T+TvG8squVtdHHSGS9y0kjLYjgMGVqTdQc8VhS58ejaHRFhoAUE7XXasBz6b9DB4T+SLTT1P9bheNr7QdWQBDasCQ00xUXJc087b1vrn1mq9IB+Tv2gvK9M8P9HFs0/F2oEKrUajbTjVL07L5+LMyS759B2HZAQcD+8sbjj02E3g//NN3e6tNQXHauiOK+yKZA001ME52v3SZqr2RwgWuoPV2b1yO3ntTNH8C/Kto4ZTADRxgp9NucFynJllH7drnFqJtqjckxODQoveDO0wmtXwgsKZbJ9qKM706wF7gnfT8KqAOZ6wdGmt2DxH/igUZNgSRt/uWGdPnnKWPOBLUd/5vXaldh6yDzpuqaGcm6qFEtnfOYZQVMkEZRKAS92s4INod9h9iZSFhvvzWtVL8WsgYFnc7XqRvqtToVwZFzwPgLhgtygmxvnH/jWmhXDiBsLbr+FiOl2LH8LlbxF6DESJkaqShZOmeVO5um5cS2HMxjU3dH+C2eXrXOeOVjKTIJCTxOfQK28ZqSi1UyHYichdLVsPxaDYZbneu9Ds3krfDsft7Qlt3w/Iy/2juo0Sj0dN0ToSKI5G9QxZkY3SR1yFA/dqWXst8Wrc2y8cbrclADMQl8jqaBjnjU89jPGOoGRIhLW4zNzTKs7zN5fDOsCOqbUThndNN+zhS/+Nb+9k9sj1mcgNpAJoQY8AzKI4qnsPMEw7L4nX2fIH2cKAt1ILaqY5rs+0nc5/TwzC5A5iFsNAAnxseDOCvPKvOyVEuF1jIS+hIlm2sbImR0DGAyhbCTvnZ2a0JToqrzNwQP2BwssxsMCfL9O17W5uW8TsvNIDChkyleUGOpZNFCKwWzWoRDVKwXMWMgEI88v1bDhcMXNybONd4N22ToBZ5OYAzH8aHBKR0bgym16PyxyOnERQ3BlIVHRyUV2DiOye2gXVnyI47ox5zp6gI8ZZEIN2HFtKWYsnPNgEsF6ezsJSHjgX0Dk0ADHy/N72mabVLgLmcFqN7vEcRpCZsncGreoFKsNrrbzZZtk2p4xnuaw0YteT3Yzq6NolWM/hVUZyjfhInkj8mC7t/kKX6URimINTWTr17+9xc2iRf4oiQnD6L4ww47FF6kGPM0Cpsp4v0W4zhiN3v19ZwKz+yBPiOi5OAAf5MNe10erHGn+/1m7RX1oJIR3m/ICZvahOBAeYZ/DctAPwWOdAM32+AxDj0iF8tXwX62ZzhRaf2XMbF2rzCuiO37cnyuuPWjnxPr8TfWsYyIZcZ5vQJpE9wKACDvPg21AcobgiV4PG4S+8G5u4OZJ0+LBJOuaWuwQ1Fn5QAC7kiA1NjiDHDzO+J+Tir1g1qcz3JXmJYrmIRKtgzyb8Cc0vOdJ4mFb1Bdt5PATEJbsMecOF4io+WW8rRwXadliHTNrCRJFWnt6d7R0iHh8ws84G8fQ0OLRPKVW5skfsJpHS2mcrBtN0TU3m9Ks/twWXTI2a68yp1KIHHka0cIQW65C0XDOAZqs5rv85hbsjC2PhG6FehkMrjA14ERfU5n3ag/R0+KdHdTe0tm87ni7JV8E1rPbTTXC5P8ikJWQrkY2SxP8xVVLqTq/HDf2B3fG1Lc9pLpmTyh84fWGLb0rEKSNkbHyM7zaBEQ3g0rLTgEK59X88d0H+d7qEubuc4P4lqPbXcuZ01vTzYmN7+5OZ7xowgQyEVTw6eDlFad9reErjw/K78V13tkk3/1q8JxZZ4IatWz/RptDNnQXAQsw6oUO1LiaMur9D6pAi0QpT++1eo2HM8XzryNLg+QZlfzQathsCBO1KyevgSxa4IrCye0S6eLVbLZezYro0u5/LJRWAX6W/L/SuQmo13jqoNLPizXDABm/PHsbIXSG3FMSD64Ee7dNMlgkhLv+Owb/if2qW7s+yyY+wDrZcZtOcCoBVIJ/3GTUvjpFLNdCxtgBWo9LQxTH5W/8BNRJndaZD1yFKsYQbqvWfs/KJ0SHkM6NMsggBlpK25DdC9OYfIelIsURGwjXbl98t49+hVoa1SP6c4x5ZDsAjbvnrMvvwVtbLmzuyr0yLD/1Xy8geVb3AI9Lyi0GRR4CR9tPA8MQuN5DwsGZ5m1uuobkSfaF+SGlwXlAZCQ2X6/25+GHnvQttII8JPZO0jVap1faoibagv26G5XlubniqcBotN34dktAJn+QuFQ5mxxMyFgtHuyqbu1ohlTdsTb6ixy1cfvs8FGMRCBSjEXeOf1bm99ez1riLcfqBiTPk2275GIOrG2oHIjs6TQLGD99l+b8+X8OKAJMVNh3aCqDqrLnDL6qCjwSxlKRyceq/9ec9er6DHljKMRQ+JRHElGs/C/EuGLQrgkcG2SflH0JIZQ1anTbJ8JNsGeSjqyjfPjxFYCHf9iZGhFyaEy7Y8qdZleSkXqSevDyv791vGBEqUYfCtCAJhIFF5r7EEXDQzbR/pkbj4kWF0GVfyasrE9GyHhSzIDecrHEffb1D2KpGeAmTPDqte+pg0p2+GQMXshkjyUIkDk/pZp/tDMJfR06/TDx6mWwDW8M++qc+JBb41YzqHjA5H6Zl7KPnhAV4uPKf3IMcaVM2hrXqq4O3uiT47GqZXRqItYke7ATD1r+WDlU4qKVcSYCSqklJosAZ0FyrbGqmTcn4ZCdLJ3aNTkpnDp5W1itz2+D3Pq9ZgVtf3STBUSu1UZMBTcwxbm8gMlris8donnYV45NGSO4i92iiUyNkMsyBs49aoypKzvZIISSoVCU5tqRCUEVQk4h+fINTgyCQRWVknIQO7Z8HKYyIBfdiSQq/0ihhbE01HPyNYiubWfQNlfjeTffsFeROb1kiE2ybdFqQkpBMJyJ22bCh/fFVUf5QSWq7SY9TgQJTPVxAY6xHyNLSYP+AtMeVmYBIJgNO47QZKB7dATWGohQWP7Au0+J+X4n+H9aV/7RMJSKBRPdbe/q97tJIKp3J+dm/i3joeUPOacJIP0FJIlsESDukJEqOOT7ukkRM6s7/yqf6aRKAgUlnN+zunZ3pM8eA4CLfnjXTWOJbLZf6bymgQZczn5P/GiUEysPSfUvVnvJYJljn3BiY+C7PBZpzz8LuH4nmCzgUGHXrvzqH97k0hEY8GESGTw/Qtohu0hESiKkEAGJLZ2XxE7mn6T4L+d6EwIeWduTOHUOXL75J1cnqzqZUnGctq/Ku7mN75XdGLZmyiqRttVaz/imUMlQ+mNC44z9y7IWp9HfEa/x3inG9x0/2Q/uBdqdw8vq1MOlo7cjzR7/xSkKbWXL3XSaJgewMk7TgTMjDKDVvNRE56kMgmRq6/Z/znTJEwOX4ZaluW2XUVBAVAcAJ3DW6AYKhCBiinfWYDTdNOASyXRi3mHKWipIEsYHKNJnEgYQhDLbKyMSxxlXm8hCp2aE+Drdo7Zh3L1hqG69iG01s1qPDSgIyomK339wxX8jRfqh/zNx42L34+JePx2lXuI3FZZsizukYcDNf2o4CWtbVXEsmTXBlsn22+yxGevYdh360NDgAAB8NBnw5FFSwl//yokyHjjtPiU+k4/081aCLzt3UhJYPkQybj1/vikSR8DjweRZY6Omx5aXpHW2mf11VUsFmr6pJbDpF3D8w+IMIVPyaAugd4jvlXifmPGftuPTWPKBZQbg11xKuOo1pMulttnkQ3FjB++y/X9VEF9e0BoSn0yrxSSc2Z9zmBcvC2kvsjR0d2vV70SgCPwLXbg2wamShwuYl6jGimCgxoFRGANM0IWozAK13EcUHZnza/kuhE4LAMut50Fvu4hpaNqzrCFG7NiLa4mP3ktpqgwf59ww7SJtOR9xMAKD/wmeW+k1RLdKNQglrKyfrlW1d4/5WteLWDehQJpwBNdQHXYSDN1LaHDHoiybXLpcumB2mQN1Jc33IxnOVViDFzqwWloiZO/B6TVouDLBZWOZBTWK3+gThAscSwSuMIai87OtfQgIKh0/TeHMMqLJwzDkitqUKF5th9gbvoNihqhgwQb2sVpXhfq6bVNgMf4ilLlRl7FWH4Ezvj4NdVy5XyK+Hl3mvCrI80xZV8HkLC9j7G1gsMMfh57jFwNCm5ydr1C0BmH+s7FZEcl1mBYRl+Fg45zrDzoVKWi0sIQl+AZqT20ND0xZAvP2zGVTGnxeOF+oqlg2/+gRoCnxY0ak8jBJQ/eVYvDQnfJRDP9i5wFA6xHUjdKaj1bBQzEI/L4Oc37c021gfbak6yXS2LkwQ+S/mdXsPhlY2aDi7g/8kh1YHgmvQ+INNOl4UzbsQEztNg+moxgC1ZwNSgG5nIlcQrHZ8J60IQGYoo6G8Lqln9p7CR2wWk2CZ45HrSw2rqyeRurjInrAqi2VSunc2vkrOvaHfrUhODyHOSEPJD9A+icg3qGiEVkV4Zsh7/Ue1OhE1wWJv1a3WUxYCsaqljHXFKW6rGEhcxLsgbsXm3WawaiCytx7SSJSkgr2KZyrnKMPkp310FQYNyXjbzEODNsUu3WhxELGpGI51FX1Grvldmr7fh7C4sG9gkuQYLo1eBX0AyvhqhzZbGfDBl0eItWhhJoRxxTmciGb2ra6+5lL3bCyFoGnT1rbZrc4ZG6YxdAUlnRWMv1T6Og/2x/+8u2Z/wro0K8umtXIwbEqKE+K2xwO3LBbdTR+OHPJAwJxKW1s/iUYJz4g47kSd5E75o3wfJ+66YYqWbZXHAeag8ak7N+57p0euOWtk78ipfuaRSWLtcZcMviMQhEtxkY2MHoWO7qVQCkNUq/0LzUFW3S/0G0ulv8wabhALn1v9DBbtFjmfvKLLCWBz3qQHGd7G7ipj0yL8ZVxXZqrnDynC9hQqAaaCKOcDzIU93o4cUaZAFIMkPxnxqzAKIHcPFEh4aEQ9cSA6xCCQtVmNrR3FMu1GtJ0lpDx3gOLD8QuR8enaVscwKvaHCVP4KAz+3gIhTBIz8Y33w0MJI+XP1WTxEtKRwqkmryV8Gtyf1kPFA67QBwQpU/VocKzGB3num8iSTnLWkCyCRPUlvX0cqLA/2vMwRB/h44KTiyjmoYLkuvSvZVOwCl93TRiuNx9h0lrqRF5lBwk1OGQn0z+rp0bbD1GvmtPmdboKgDIyEbJUABy42rVyg0ZWlMfRYfGacM4p57XIj5FiDibwybgOHM1pjeelM8U31uySllMukcT6KNWZUBWeOpsQD0jnnQqV8UiPgm7grhUx2LO6YmkFLf0w4FA8k20bRLdYOVE+KvnrBtdpZPcOKl0QCTcmQBdmbuSosWbSU1I4fuFbmu7iFQvrGzI4+EuotBHefdcZr46sjq/2x1sl53pWkKM1tnTv2vqNE5Jn69DxTQ7PmxTmBcizp3fYubDQyfBxqsFyt3NCKdAPENowostNw+uR6S7vAmGbO246C6Mv3MC1CWcmU++6LvA9jEOGUdO9ysj6eY9GQyOqx6sz+tRCJ2mMwYhutDYvdUAnHPccawG+cMliXTMvuOuxcW626xbM0xGkd4XeGwUXt/lIHL/AdzEx/VH9K/kCdlVuW7BWJ7YK4EqEjTcRl3TIt37YhVYWs+KZH+Dpb/Zz5hwX4e+7wzw25uoCSQim6zHtQonGbfY1Lqul26mpHtMWys/a5JPzHyvLDUviDhzYxlZ+BaDmLB5ZPpI0wRgueW4I1fPSQUuk0lUJcCY9v6/OGrbDAv1OD15sBa8f912QlotIcq5WJ90e7PlTJj0BpWZ1pOj/0D9XFfV5lQkKR5HI+0FcwNLy4r71XjjAnVoMYeE6S55mNjRbCRUJZz5sWVASbjDCgaKd+NjSfO+E21Rt35wGuuRJ2mQB/qr/HXmR/cLoDKVDO8Duyz0MJh3QucpUili0JDllqYVLZMS7oBjcCdEHHsqpsLZEN39JDW8LlQ7gIHrdWmeA+WaocuxWoWolQ90yD4FRZGYuok/GjctxSQp60481BdiG4nG2yBrl4Q1v08p3+b7Y5+nXie89mzWKvjFCqclvC/DPUumzausIb44wYEQyQMogyPTWkKyBOd1o3pgztICua17MxmADiiKqrA1mxpCZIy9UkaY1rbX33y835Rx+nUJaOfwEo/eFnjDZriBB038UAsqhOM2Tc6EvtWa40knyGKUohEZqYwXBwXk7QMXs+K2QR6zn7KgujIInYcr+noWBb+cQausZW1PSW7HV6HO7s6LK2dGj9OTeRATQ1r+WgwKiMqxKqJPa6nLMqQlcaCWAMrhSnymI3XWTopIxiUWIRVEJ0JROQypwvMF+26V4+x1uHzogQmAE/WfhM45RmDCu0fq2PBZXKTcImsBMpbTRLQc99+fl9JbI670VLgyCCkEFsRVEh/V5a50/V2X+Q++VRHs0uV9T8BA4ID6Xo/vJ4yR2RMF8X7KftdKecXDZebN/81qO2/U//kfPGr9k+Q7EjzPnindCtIPWVyI/3nMvK7wo3vN9ZjtAEFnr8j1GwaE/p/ctv/fn7/19N/hzd516bzNGE6A4N+bqH5nuDLU8yT5brfTXXdh/I6ui/E2PgvgfhNrV5Loe8NGan4dSuvdwas3Duvzn3fb8BtiC8WYlQIMnipej+X8iclRXOX1H8HzLquNJLWIvqHTrMBYfA3J1RWAGVJqMiXhPdt8EWM/e36nbJ3SfT8g+Kcm8X/W7K1rzZyXPd+pyGPtjuDUvVGR/VOEMcx1koveXMk1dm35YBtfkuB5ZjruLUX48/hdEi8TvDjXJGGcZKlftPrlN7o/wTdPcn660vpWljYXFfCt+bKf69llyUqqSHJVtWBfnVyKpZwkKKarTnXRG1WwO+6BT5RqVV2lrnCFsypj2LKtj/27Deaht1tW27dVCyeDat1vEfK2xdPscmzwsstltjhPIInyyErDSIRVwtBhG+nJHLco8SGWsImQfDAQLtuWwe3rFsce7IrbITE69ynMuZ6IlULh3XI7TtULaeIe82a+K9F6BtZmM2uQ2NRd1h7x7TAYdgljW2UPObcg9BUYJ8q5qyd09z88r7Xtb9fwwdcttu8Zc3guMPjw6qq58rdjMSGmNP4EmpNlnEIx6LJwoJXMS0jGgqVJwAAARsAZ8tdEJf/mspIZ7EguMnnNairQcykfydHLHY9IM1bdAiuTfhxQXdu6VhPC2UgHXmR4P5oFn/MgGam2O1C3heKBCrzzivr99nSReLKw7uqLgU/COzbQhHDcN/Qw97EAYiuGF7LRcj5FxVo5TBu8KkNF2tDMBU1wDY9sIB9xHFvqI4qraLQqhPzeAlvCHsuIQaP9/slPWCRabDFo5WNEHXc3bSBanQe+d3C7rHE/4U2qdBK2Io7cONS3oYXwEOeT5QAWBHA1Iu/NIpKRrwgQ5LffycdUzsGhCxFgnDz5oZEK9mBTP0eODXgkS8kYpK70O5i42Dbrm+ZugRMh4BmprUP20jhAcS8L2uHJ9sy/JwxZJZB2Pz3uIpsAqthXzLqnqJQcnbd5Y29Zc5fI1AFndHFn+JRlmu7wzQhxcj6xGRrk21Ot1Q/gN2AYf+W5GwZGwGyNe38kJAAjMZShy+71lCOUzS/2PUQ+Ij7GpBf2MibOt7sZpH2vnrqboTVan9GA8zorn2ZBTiirSxBZ695vPJn2s0muzX9/bfE0+q6f8Ej6yljHemykwKo9YEnxploQ6PXhVUKt3/omt9pkenqX6yZKNkB0gmiHwwx72KBcmGG8cZshWPJJ5s/jdyZg8KBo3xj6gk4YgpDVkQPIWdvby5S7TADbH8BXrrj0oaZtUmBICy1F91BgHO5a94ZieMMBBDEybL8ajABHHYCu+uKXl10Sn0uS28jEpo+O+XhFX8Tph31Ay5zvRvZAmgDuUJtKWxp7IGxRLdaCz23oMNk92/l/RdJZu8JojiW7roqlEp08j9BcQx5P06D28gm7K+IWLmPHDNx1VPhvnX4mNUmtS82Ahbu1fk63GEF3zzcMllATi/AXcvliUfpiQjUpeQZMyp45LE6wiEXPBO9wxVsp4vr3ah0qHJSbL8/WZT9RxyRurdXkNx0ukM4mVl5tVugzahH+yge0X2MQ6UVcWv2Et9c0I/N+KbzA+R/m/HPM5gqr4c/eYJUxlABuUDwC4l/NHkN9Wfa/bh7kQ7S/MW3OPAU8u3XeFZAhKG+0ExE7ssjZNDq/HE2DEQvQDzBf8BETQz5BDPM4sRUdQ++AARfta/qpLmN/fMbF1XVKJkj3nfbBVqz+3Ig2BriMftjCvZB8RoJmfAJIgNbB1VM8piwEYz7ahGwl+jgxuEZGIO/yAwiG32zOoMtRH68wVBgXPTHZXOx5NN68+4ms7O7XhZjWLghlRe1jlqqUZwGZl+h9FfkhKIA81XvObIgf8hoLf4yLPtS4JiZCAZtoPzM55+WOs+SMushdK67L5g3kALI7M3snOvxTEe7AYIsmv7Dgx+QY65IDX1kiZTCjU5RqNR1t9XfSLhnaWsNbof9fBDiTIAyE9ObxT0aWRwS1qsrBTwSwQzSxcXNJRMeKK2flLmTZ94D+btTkeRm8HKBX/EEnDqkrvPxhHgN+5QM/dDWC4huzxLNOfMSf5b353g6dzxS8lQWzaKCsI/x3/k49e2dQAABOwBny9qQl/+DQl+8lK1tL0KXb8N4JR9h0+HRG93CeKT+PS5YxGTmcjQdZkyXowvRqkZKETcqFApYiEQtuHNDoZ4ACj6GkoIYqafXWvQvrCFa0vYKwdoj8pXy361DLGo82dw0UN9RW0hhlcDpFGfSALanfHO93o0Yday0tM3IroDyodSIWBQAHSBVH/6BwIuqfVZeSOYAyPVl1x3X46sjYAPUFhXR76J8Z6k0wfUMfuW3WhYNvCCJP1qeavPcjz2P1vDgX6pAlEZM24Mkl6tLz4z/AcMoE/RkFkCtchYmFD35l+e5/ujx5Zcg22A7DYOj7xZM8/HRKI8lSBhHQSW3Z5q+dOSg63DIltHZqirjE2Qo+mz0xIGHeFf9lvrGBbcrHIry/5LDpnXekdIeJbmEzqNFaQ+knbIsavbILp++An7Jd0YVMrADOFzAn2eEQis2vWKdYHq/21VbKA/QQ6C1I81TpFSE8I2pkP8aKkearijBMzrvE9bXfErV0Atw4xrlbm8oh636/X+CJQysI6ew+6apNxInE+08nA7oX+YTYbnSg4FZNfJEcLdh1eiJAn1k0zTJbHzxakhj5rPDUjkaZU6kYmLZeJ58ELKzrn08vSQhSKM+HWi0pS1qq4gTdYWPDw3w07+ynjoo+//K+F1tTL6gwLVnORJ3WEksGUo60cXr5+ZM28Hmz3WQnHc68DRBIufoxShQnrGjGkH1D9M5qViJl4mv4fiuA2YIfF7P5VfLx4gb3ubZ4uj/NGKSLgTS7FMnS3JEeZSA69bQf7MKX+Ja3+ecgO37tQygTa77NKfQj+aXF/rzKRq9mrXgaOkbdrU4XtnAaHs+GYffGyCfD5KdSuOzIN/HHMRQLCMb+kFqzYfMEEBOa32nlAwcZgXZ/iO/InvLUjhqTo5VkKntLYFU24e+VpO6nQ45Q6Pg4slP0SWpXSvepgElUG5Z1ZgtMJTkIvOok6FNzInbMnJ0e/HhORdjQIupVaJxgyEwpBLXerBFHFfkGknNvweRJseJ7DOxeji8sRFf9in5H+fJcOivy6y0KdDMoevmV7PGGkzgi5CPi1Z9RkBlrKYkHdQsglwLvMbYrN+hYucO/v9y2RqSk1nSo13Z02M+kEqdSryDUVUCL02CJQSq4BBc7tu4ZNm/b6EMDUkQUWaEd/5TcpQws4gkOfIQy5rA2m3EBV7c8BKv9b604zKH3DpNfvDz2C6B8+H0Q/UkR5JiWijQWwP3d73lhlEftvAJ5XOQ8F2hsdK6dLAklLbTaLcVHmHYX6s07v+5ti7DHNZT+FHcr4HKHyM8E2k/6m7rUf4vaDy/fgJ3fwxTj7eL99O4davcTRO3Y7YuLpqlORXofylG5ISwA1ndNwmQ92p3Q07jIlA9e9OjheA2WVJQmMMdpqkuTyIim0R17P2ipXRr2dlkNeKFcfYZzLZKPB7v0EbJ3MKKPomSN78FLcNEZlfVmSd5SxYY1TLLRjTSAND9z95ijPIOsYfzTDb7NLH93rtI5j0qvZj4lGulBZKckq2bUHOaX53mlhrxdF5glljZpfDAiBkfT+yhid9KRQ4b0m7PhdHyctHJ0c9rXhJa/ihS8NJTCgBt5YGlJpuOuuM/oQoXmwhn4SJXJ56C6pcvJClk1Af7+lQS5MEWKNBiXmKgmPgLlh8yeoj9cmU76P18UABNDWu1VVvn7+sjOMuo451sq+Kypq6zX1MqlzBxlHSZmBj1v54Ur/0x4Spl3YOyNso+eXoRyNW3vXqSrEMmIIOL1xNDWpqjnmH4HyG3iVmIi1ZO1L/hf2JgaHdPTH3yRLBrBZKE0iKMSMsiMRM4XVBGSYZlEnXTOvss5m379vg64pDGM0m6/6NpaA5mvTsuPtIYo3j0ReINSulso3NqHO47PC678wRlXs8dz9afH/VK7DzlnQ/an281nsP0GZxNJynMn3X/EdAttRjn9T7U3s2BkbrdX/uWgd9gK/lvQiZ52vMdVZ+zco5DbuZ9Bm8Z0w9mgwc48lyPdP1zvmGbvj/Csuu8DsT7znl+llT2bxlfwT/HXHkyO21vq8V6YtoGAD17mup69rhfBrr2phqrT4zO8Qo7HOZxGwz2hHtOf3bC6X67A5+N+Y2jGYL0jU8RnbTkNPhKTddfowBUyU0CMY4692Ccwdy7tmNE5uSqa9NrMeEbEUQgs1TkX2qjjsHGHfcRLyjNyY0KeqdyVa5T2cTBZ7mjnRMUDNlnLNXW+ZsDUgbEUvdsSWVtGN9r63RwaubVDy1thq6hkl0t5bmC1WW6Vyvjk2viCM6/se9x6fEOMO9MX8moZRGLW+XVleN6F7gllUqHHOOfAZwIsfn6MHNSnyjqwYGcKEGhFmgk6dkaq+dw+ASScNJH+ghKyUYrbGphuiXnSrpyRjIK3UMfZZpBXPO5NlOkToyzK2U/DpXiNQb36ckuAtqpy/p6s4cO10efZbNVFb6GvbrFA0uaxcVvgAABsBBmzRJqEFsmUwIX/+2iGbparWp9nBdPFTVAgl8WINgCJfgQ9kkJ4BSv5Ie+l02uHcAvybwJaBkraxO3VSvtR/vFjW2G2/Pvpe72ZcucXh12dvfkcsOtGXdPxWtl0UG/Sl69NL02Sx3nixPJQDG7grRHt7Dc6ZDwrbBo4O265ztIuIwLFzjWIMMipD/49hyJY8aQJ5Y93yQ6wh+pn9EtnHHMbL6BwEgiF7VTLogxTmUBn5+GtYek9c3g9vz+UTkrRKHDgmcr2g1iLF81+P9EsCPve5rJJmVdXHxP4YmEa1oz3TlsxENXhv5BiPhVYxKJQoleUzOEzpwDSg62qT5O0nkg9RBO1pz3XXP1wChFtx+tgV31t57jvF/1hvYMOQIs1xYitmVjNoTD8UcOrw1HjObC3u1rOxa9R8P6RhaATkkvu95m/dw/pgdg6Ljp8uH2K5OpWI0+x7zpRFEkXrHdJzTQyRoDwNX0oXUouQJybcIzzX1JMgfVghR0aI0xodbgUisFsvIl04BguCQt+73fOTRiKAwURMgUp56biUDj0XP36eVCSP08YZegwkDNCboZqqWWZYkVC41gAu7TCJsEPlkWnv+F3DSwoyU0XXNSdKsA5zdUTMP1xFtoa6LGFMoktVDckLZD+kljS01qGWVPuUECQR1GuZITH8CGd+4tIhTIuBsbWSg5fogHHU+9Iieetab7jXSyP3wsPqn+BxiYhaZID3FQwYicsMxhxwz0tdApJbk50v2MWNusnaRekj3SlerV4gYQNhW991CJVkaXACPv/fV4Io7uZx4kmrohyLSx3ghLcdORay575k2pOo6pjNthjV3K7eX72JlRIx0FK+36Hqd3CIDDJDziJghhffBck4JaiwoIOqC3XPW4g9SJQ/GcxUX2cCU0Bzs9DPQgw0SGBiBlLfnRi6IE5kOobIBU0KND07+xod+XIAwNyXL4LhYX+hmarO190DClkeVyt8mRhtHTN/kcYOjYet1ca7dYAI26brem6+W98UrTePsBJiim5jSP0QLt4H6iofT1RRQA8j18m47KDyybSZOnJT2x/QoF6EAFkFARILtDp+2B74TIla3krmtAbh/IAZlF/1ToC8fldYusuBL/g9Ox01K3ppNP0y727m5+h2XX31zPJ36034r71J6dAYSdE3WzAsBOLyMA5SXnaPNShO3fqtmkGlSxQZqkf0acjZsvhFIN0iiwOm+XcS7NtWrh1JmsabET3gmZ0BHqP63GAeEEdjpZkZG+gPF/9Pl9RhelHOnoFWgP4Ma7H6Z/FlIz0Ob9hsuG4+i4bN1ttBNyiMX8MjTnv+Y/HHm92ZBLHgSTGlPVVzXUCtTmfMzY1U7pKSve5G2tMTceNkjAPpzrG/a4bBDCRcyW6nCrpPTEa/RHneK4kYG16HluvSV53g+szKKnntUHEUqjZMktpJvfmxu3P2OLKuKqc6Gd5H81VeE7udmPnebfMhqvAxjXYyREYK+Ed5DhnfJXDzyJpUG+34uoApckCtCwRFzHVW5BRYjtlIXXlVeVl7z/xa/OwTtP6nNnWaymHfukb1134YYDpRBX2pWPxlHptXqH72+m19u7vrMst/ZkjEpPxjKkIQ08l2/TZVnB3SR+j1PKjTYRBET45xCCcpfkBv3D9JLB4ba6ZlF+bOlO6dBJHR+Z/w0XPISyeu7NBHvxBDNCnM2vAXMioWZyzgjACigorPOMQ6ymCHHcsKTK+gnVHcEkS9UfvddEUeIz5kYbFSDBccQimMOpLvwMC8OoKhIHFyEvcEa07UoOPRrj5+UQbHG54a9qVBIMaCGHmgVm8V0osdC77woN6EHEAynwV9pb3FrCA7BI2jYn/RWxMU6QU6ZYCmq5lbtRhLaVhbyxHxVqCeCyUXhxKVi2fWSWSmpbA0gUlZJyr7qt28jf7fVL8ek6uwGQSN1jUaxUFc86cagLUFGEka8IQiusoNmkE3XRoNE9gcFApJ9gC9pMCr1D/rTCr6XPPuAw/KezN2E+b+ih2R7DvQXD8OUUINr6XtagNJVUz5bNqvU6XWEO0ctiN3P/IlsreZuGD1/tshTy1hv5odozH2On+Sgs2K5KNiPw5Ks1bKRsGEiUHAsetPBKvB4RJrW9VeFr5M8S9rfphd/JAXAN+vWFCcNLmQ9RzrcC3fFgO1IbU9gN148b9Q8CqaCF0PdX9phgXPDnEI+U6s9n20a7v615jYBragbHRnScQypQ9GX9NxRLvdOfuUIQO7ASxq2h0/U8b7t5ow2pdTf+eoV3OuTRnWvM15kFPFTz6xNrEAm7vlB6rABJjWv5YHQYGvj89Vmr3vimq1zFXU4xUBf+n9ABdsvc89vznJMrWmKgXEJN4huOckPBXgAnIoEcVWwEfkpFsQiMM/CwINDD6HIij5tJAikrU/Ao37BELrdORESzRbt7eiVTA7K4Fk1BGFJIxp5GrgCM+IRkPIx0c4ZidUhf6XqdIJKGe3QEVRSLGEaMojDcRWB+sjbl0a0cG/VUMPqYkQFug5MiqqunofRuabh7S8G0G0Q3SQiyCRiwbNI8ch/I7B19/q/FdMkSKItaRhOIwZGPSETAq2RpGgzb91IgHxH6X9dt4ZIDCUCCSWDrpzUkK3WhesqeEx1k4xIw6mDrZzuVYzFf4LbN+g0c4TcWJZqdy2srMGGdr1PSbcW/v6X5LRw8FZrioNMT+RW6IiQRFLqlLpHfrsz83m8mgPSP/jSGypuhzqLaShzDjJv6Rv3u13B8WcS0B1muRuFLFcJo77l+21tBnc2nU6ldniqqVR2Vgfhvv2XoMiRFyL5z+l4p4y+5R2/ZEysH5Zv2y6UGivkuwo2iPbv637TrWmWkQDRSjYC6SkTuagFZJixSmQxZqVCc/tVd/O6FVJrrCon0z/dInNj0YOa2eaqyBub6VI7JjBRo7m1c4p8QjgZozWan2c0xw3WNDweD9n7NGx1uLrZtaZcO13JJxbKuKFAcTVH2dylVTrr/72qpocLJOx9m49oqG62rsX33DNiokaKtWZdvvwOu3zaOZR2dWKvLoq7G2XObDtdzigpUqpHY62iyyy80IzjEpPlICOmyy6ApTqm1tTFy6NTkqUkUGjU0SQsssqKnCDJyZpLLFLKqipzjuOUeU0C6222yqodFE0adSqiuAAABalBn1JFFSzf90KmKCOPc6Iez5Rzap4KsDSosxtX0j82aZNYZTuhLYZK5Sq37LFuxuch7CL0BFBmLmnsJ3qquaw0WztLehFLgCTTrE3TU9j81azNXI8sLIabqMvmaD4BVIgqW2VXgBk/Cap/Y9U+XdiVcPIpCv0AuaKYdGxa6X1eOnkAd24nf4BSN23aY3D+ymEOuYSb/QCd8qPUGxOKiZyizUbxXn6mjWCo6LLcxFPG86fiysejj92NMQhs9AHhu88DAQ60qF3ddNJPhPY2rLjnSD9g70Tr8r2Uzr77J8+dlkFNGkzD2XLrjKiGkel2UAlEzHADfrCIIW3ECFQzsgRzCOzENqh3L01dFphbY5S6fUn3k1mOlVveAv3QC2yDopygCPiezKyE2dYZGQGHq3f0U/ixJdlVw5O0NeLKI9hD3V3vXphYPp7RFITP7SAA9MJwzr0wkxRQdYflQpX8VU4tWffT2/cT7V+cLPb6+e+xqhYIqDcAGlFz/fxuinXROSbMKCNKhPEbXaYLQGC4JrqJV2Qxi1hLGrEpjGqAkOggqxDoE0stqtdj5rvjMyjtV1SSct0jFGE3WiufC97F8vbi2ZcOiV2h85+0YIaJvkY8mMxw5YDCwG2fPdDZU+T1Qb4Xwc36mINQvQiTSdAE0/HnaUeNwK2u/sRlmgYWeNyr2Q/rE28uryX9QuwMOlUHBT6cybnevb8KpgqiQJ9Q65dp3gTElgmPZHYr1FrtvqVrPlTW1MQrTAi30ExWvxAVBx22Vl5qDLpsI9I3ihIGNqWwkwK5MWnVyOJyfeVDeJyTYFKFjz5ErQtSII95sb42BjI0z1mUnocvag2Gv+HT/0KvxFd9wHbSskHX9LXp1TtIzrQuR1TA/vNfP2VV7JuSh3PlysQNG4tezOGCraWpskoina1YH4Al9wesdkTxSxklqW1ETEahqPFDODaPt33lAncFBfoYJCEseU5PtIgYorOzAS9bGaLgmpPKXgRqBWNmaTGoIT11Zbgmd6n63WAEf/Z8/Ld2aV9RD73elSQQkDZU9yoJ1e+ITx+oYPwfxW3uMe00f65Zh3qxIRIefgIBnRZ11zTyNCCyGNHXy7iLc0K1R4yNDKrRXkVnCJ82zdeY94+CpE6LZ3rgIupt9s8mb3GPnDlkP7MnSEBDpQNTJrTrMDOhlQDXPoqr4M+RIo9QVsM2Nzfc7G0Dn1el83vu9J1JljLw6+YjFeSov7PENlN1XH7jal+IVm2DXKPYQFSAUtfWubZg1mYLSPaOrkMfgYDQDlRNPZQRw00BqZNva9S21Us0Pwxv2zJDnqMLi4Tr7KIKv1OnpSK3W+FhGyaL6EXJz90z8Oz8Msmt/st1zRLgWu2zxoMYys1TBGAQEqXsrxsY6L2dr1uglSKKjedx4DrHaEf6uqJkBZ34PDYM1WTnOwtimwiY2/QuNKFV1H5XzmesvJsGXwRmSdv8FAclgu7sx8KtnkOU3nr0t3YV4BckiIFaFPkae2Z9h7oXVccqMZ8c7W5EegDHs/wDBn1WQrUv/jrJAlTgvowDn/mJvxEsl8LXzf+t4HE49jLaUETKJivnC5doqCmk74NiKGrSeQPr1DLHW57OpRHB/wRFU/3sp0A5rGfwYp2LqmCSsPV1FR9RFW7hA0fC05gz1aZ2wjUQ19PXhB2Thke5Q22tZ11Ww+jz3LvbQrLC4gprh9xNc5thL13+RGiCbRGjVEsST3JsOr5v5f3yzAp1cpqwy4zssdAfJqS+yhm5MX2MxB61X/QzmLrKc1qwaV6Ror5ND+ZSPXHf5PYez+BHI3kd2P5mkGgJiLp/ljAqEFk4xSJOX1/0h7ahmizIoO8r7RX720Ix7qSZRlkNNUdyWZwbQ5W6hLmu1cgxiYHcCdnsqpEsYXyi9gOKgYESwhC4XF+tlCvbWQQuOh1KMfUBMDWv1CsVCYNGN9bHHK2mqZWJqWc6g0FSsGDE67gTKr0Ud2maswkAyZWbsKThTxwa/2XbiCEh9vw60gWeUgMGTw8Y+5cjEAprtMzQZkgk4jriJ0MeTzOWJ4+vKEohgbpFpKzYQIUgQl2D6w8bwr75yPr7r1wf8OSMc5FuDknU3FmrPtGXPR+b4469sPPlfY8BeGO7LWtF7bxZEPvmG9v+xvWscd+6WD/NrH7nl+jMj/a33SvSXZu38/1XwcmIXXX/hYBBcmpWWeq6AECIIOL9D6/6fj8HgFUqDe40jH1/Z/wezsw7P2O7qoheJ/B+hwHqtx4Z2pHjfufuuSoY+XPAH40DOTKEF5rHy1/4frPFKZwujKPatO+UpfqueuQTZkX5v9X9Pcbskn1u9/hI1tAGzbKjWy4nxftT75sTki51B3tGtzgnzfNFBLBMz4dlSYTSVe78nUer1sZ1Vcrc5heP1dJu2M74bLspzSGidlsGIRS2fS7I5g/8O+eK4zdahIuX23ujTPddwOiF78pdXc/GFO83sGF3a8Jm9QMlL4xVSqkphm6MEJGMcLISY1gV5xA8bYGbP2OrE2zoAs/f1ZTgayEvi7PY0JdxrnI54BJlzk56HJXHZqVIm74beehuK/X3p3OWRTZ7vT2sDD1DjEIAbWz5b3q2MWPEozncclh7J0DEWCyElV9/kFkFtG0NY9HldORIC1x8M26q8fkrfjxmEgrUGZkGUOG/zdMTVltjBq8KtiUBzmPaHCICZh6FkzMoKmNbwmMbqL+nQJxbdMtMSBhSHX58ZRANHbRyzVrxGogsBCAgFt25ohNjB27/Rt8WXtZThNONOAAABKQBn3F0Ql/90XPHZCdHqvRAJYDVQI2FmZY5soFEWyShDlmPWFBR3pm075DPfKs3cWqNCknkhKXcqRqwoqB74zARXt8gBPTV9qOGlVY1fpx60Xwh9CzYrTlkdJKMV1IeUIzbgP3nqj45zrbexngQaqUCC1qnDRbnTk+g2K3NSBCHWnCIX29dflmvjiZH2SDokwN9EAaxhJy+pdg6Vz69X/+zJC7vj76qLyuHCH3+5yvClxI2iF+S9xV69fUhxEPZUBkgY4AcVOJSWhQ52fOiFcvOhmcI8m6iBMkU+FdgUyJkdqc9ToNySWBmHql3FG9vavDPIRT/UiBcyTBQXjqY9gZZlg6Va42IAVPBI9zKkgKL6BSk0DQYygbzbOY6xwYvwPg6sPyfu55AlMhBfftgp8K3EVpytzL8ckPH9a9OWBaiJTdUjk1F3Yyh28W1y++hPBLgPl9DWKLlFfySL41x4L9jQuZy5QlXDC2s8hQf0kyems1EMCd2ywAoVOu8PuTJLVjiN6VpJCx2JRbbAn3s9ar04g7LfoOpWjClDeFqo/1st9m4KJ48Hfmh/b1p5USPr6WGSRFSNOBStXtnv5tjPksCBmI34w2jIqvDS3PEtJblUA/u6kJvt9NXOARiBLrSjO4IbQ81Fz0cFgDyQGtRECE4Ius3zgcSJO0IpgFAiZKliN6daoRRwwaCntGL679Lke0mzCDKYJKmYS2zVf4wqQ+9sAGVs7gOadEFA1du9J5fl3E4T9WmvFzqPPd5YFRgetmIS3D4LfLa+Qr2vmTVMZZ/tPJMUfs2ED75VPsRNa0FK+l2LsVHtXU/L2bWk4jD19cH1naJm0337bhsE/HnvPo5WRDJWQ3XZ3uGUJfC8Bre4cSQGR64y+AQpMMHLw9z0/xcnYWd/idTg8ux+RuERh2ZS4wIRQX6M+SfHFLiAXqJL+0wOZuxic9PAtTyTEb7K8sFgJD4hjoOLxIcNwhTKGxvbvYBO5qSMA+QTTu+T5Yi5pMwcmDgDyzPVwyAgN5tPV1S8QEGk4FLtwOfY6gJlI1m8xuVpq8Ptqy1gRgSy6fKKk4XxULn9cN5DXe77FpfKkOIqf0axePzkMtlGTjNt8mQoBqLeGRQo4RzhEIcbdlYlLkZ1I7zMUTx11bnGvprOOLJD9yN+oSbE8irGiqv9kdbw1PSzD7lX2UnIjkwCfSWYhxrVOp7SRu9NUiv0ZkiU1KXWOhIlf3yvXF1hhPFXrYGutJvFdXX5MVmbD5rfC44ho53yDIbFd7LqlfF+PHHN+Sv7Wx4dWW9RNeKl3cxWml3ElrSZKAsQVbHafgj+6FZXhqEuSpYmVPsr8p3An8Nl10hcPyEjEjDLYujuZvgEe4xp1gI5+7VxFBfTeonVI4mK4KTGIR80Spgo/OWT3qd6sxT1tGoSuv1tBlnaHV30gi/YfUgs+6P5+VwA1Yq50591eGG+wSepEOVySkzp9tbD7G/K8hkAEa5Uw54c3BKN92jJvrKIOLjyaZFqVxjeSLrK5WmLoQhUBFht16lgBsvrg0Iyt0Qi1KYNlU8PRelzXqsRy55QhWwAZ08K4bR0GosCDIqXqYBNDWv5KQFQyrtNXK3WVckySXWXfBVW20kyOeOSbH2HTqKr0DwrHq4ERXP+R8Vqm2O3PYJeCRIYiU3XH2mnff/za/+Z+N2DlnYfGWk5dDLpO0ft8ikYSOUyLHYAAklpJZqnQQACizVIkklkrmukvAfxOkvvuuMCFZeYfgcI4bMOUsSr/XvuOX9i05T3GfLubMKgOkWB52Lh/VF5fC4zY26X51T29G8cYtofHHtvvtT37Z3MV67j+yWcL3WThkgCs01jhlJtBm+0/Naolwv2eRvF86hmzUH73ZWeuKuZeIQzlmvnf60/6EBG246Y1Nmanu6av2dw3wboTcnUs9rXMfumeIy/TvmlazGQCP4TOBMAfxukbvcQKfxDi0mAeAk3Fy94oXyz2LtHt7+Fu2M89s4rw6fg9Du9OI86syJ43bIo83aQh32vvFpKuC9bLx1fO2UxIHGdXYZw/aG8MZ9zeaYxfdk8Zj/lsCydDb5bnFdlaguXmLml1f48g5Jnnu75HHXFehO2YtzN5rqZq5QxWnqeuseptWffJgjqF/b31zJ3Q6JH9b/b5T7E+uc0ZJkem2+1JnI4GaAwomRgJTCQQhYxU7akc/8DlOZY6/+13bz3j0dNwrC1YmxLZ9B8h1OSqlbcAECEOx0ghhgGeZWGHQzsQ0g7nSK7GoGj0JKXGnCyLWA41fvFyYuH23FwudL1A2xcf/evBtSm4rUuqykVJK01gboYGvRxew56yg+ex1a6TqG3UKQtLxm4cep1DOU1lWKOakAL6FJJGSWIkOMydLRXtcLZHqhssHRMcZx7VX3K7Mckab7nNbrzlQ0TvKKyvOVKtTMDZKmpqBWKq8uoWN/Coks6jSzWlybPc7GtsltWVBcAAAD4AGfc2pGf/y8uRXlQ+p+MNVSP2HL5rSE+Iei6O5MYdrq1+uO5/i6D4V4ERoo4NJIr3j3JdRU2dVjONxn5XTejqOEBBlDBYoZY45weRzZ+vyHt9qJngor8ZqtMun9O8KlVz10Vn+JExbDGcD0vWXYqNbODX2RPVZSn0RE18ydlM9JjveQXHqa0VF467Gy2W6NVkjmKazvS3dIvIjwuFNKhbbnUPoyQmk8eZwKOPNj7heM3hpTCmi5WDAtP1YcPSf4jrXfCyYauFneI1ZLDd6qrCIosaeKHgbiXP5g4Ab4GcU1HoiKU3wwiBC0cFvj6r+7S3bmkGBaNQIcTpEf86YYVKp2H4IT4egA6zpN4d1uZffA7WCcU90uCuPAfc2UBvEm9yPnPi2Jbz4k4NOqv17j9iedOMjrjhgAsZes4GlYVUT4XhLvDyyYkW+CzBc8rJJNvTovtgdk+AFETf8IMFOYB9jcLuTCtUWfq1ios4vt/sZDhDTTalpfDFNGpShMAuPc1gg43CrmXENYghiQBp6QaXjsHxlrFBR+4nzh0SlsMm84AT9Zi7ViVFum7MUATNBil9OuqvkNPBHiwQrI3N59KwZu60oZMgDrfu9hdpWRyBB5SutsBY24zxDpc4iYfyBFwztp19vDMepDa/6rzdTTrSjfbC+3+fHJvQK5whh12mmxbTNdK5j+jdOvLzK3X5mQaF7Y7lK3q3OjXze5a6XThnYvU8AfBOenxYUsyl15IEX0EHkGGURpRi8T6ZbwCJvkQJSwH+hHFBGlvYhUQKGt2vagu/iOiHAv3Lo5g2HNvvsSNyLwg0oempXApTbeyiIfB5xnhrH5XluWrOLtQHYmRdl+o/rqOWqb7kEye7p2NJUwP0ZbaQGFRYcq4kmwmxbDl+0SolXt6QLb9qjlrSUNwk5aPu/p/3r1NmlWz7HXfiprlDP2NMK73lGoezmC+HY5fxp9X0m9/H/ecLUBmh7IlffcPKK3TUwzzD6mcLN13Br4qEZrAAJixCXpAwuw67aSmoow0sRh6mJBRyNrKc0sdUCMgz3k+hhtgApGhjaugHDCdqvWbMJdMi2kvyiFOUmy1KGqcIcqGs/ugecTx60zptd8pAyBfnRLHo76/JFyX8skDTvtMDc3P/VitMFMqUgYnCUlFVKNrukwdD2P+xj4O6nUaJ6eGaZksrNxi6iLmuCr1fFQJPyVOWuHUXJyplmXTPNoGzF/FNjNXKZUjzE7yqa4fZmzi51YqnRuCqznF7tnJiGUUdjLFIerojGbq1i1qyMCLIyx9CZgKEOl37MYvU2TVCi41a27/HcT4rxX+5IoAAAHU0GbeEmoQWyZTAiv/k+djh7Q//x2pzpRJTaizvGrV+LWhYMvjNbbungVEwE3k5Vz7XDiD2YCOAtjcbYnAf6CwX0fVbzFuhHL3aNDZ4a/M3SoZRzhlH2CCBMLoHUAACaMoYZCN7p7EasdOu7SsXEE5gK+hVeefDX/6mbhArMBbfzO3ok8qoPe/Ka3ZpVLyGUHEqF3al+MeF1qY8sEAVx9zHKPz02AQL7f3qzKvYnBy0UFGt/X8CiyEAKTDyHGdljgvECNQGsKZwD2Cntq3AcSUEzkVoTlt+QocClHIpq9haAAGJ3UzH8CT2O2lGE9dgcYi/RxkRQiL1Ah7tGA7c4dyRhFZTnGnuGhyvZlGa5HLQWD4h7spYYaY90hA4FaXtDE3h8rKCg2K96MhQOKtudVeDbL2WToz3eBAEHEU8X3hUp6pTuYbWyWXzaFPV82HuO3tFwcggcboeq7sJg5QTQItO/di68L6160PaoESPZKEheExr/qJiU7WG7qU/ImROscePJZcDBiDi+zcYKwxTCqSXivQKwup8SWbaj4M6odoXldgVLPzdzLvdwx+98wmuvuv1Dx+2mmUyS3mvHK19/eD8QKuwElrB9xWlpHIMrkGWJEKXEy6s7BTHT2LjnVG0+uabe9BBXEaDyCGJNyCUs+myUig2bVxOTl5ueHsUyH4tCoWkE6LP3yxIFLKv2xOXqFpDlbFenIUTwdJe0Wm0l7kk8OGOoU67KSnK+gHqNoufjVCOKPVMR62+O4FuXO/xGVtuTf4gMK1oH+kzrImIiWUIFGb8Kt5Qsyt15YPUd0qIi0Z1WEGcKaMSLqxRy7hLpEqz/NSbkNRUPiX1p9klXuDYJNa9v0KqJfpH6O7E3VGCA2f9LeY8csTqSYT1dLl1WHh1wE6xZb+5+NAsijRCsoT8XrbN2u1i86ySa6XIx4g6drbrcBh1DxFzz0M25Bx7Qf/qASW/fxzktuX1Ox3pK26LlWdm0OPKglPuZnlsfUuxRhJ9EfqyzjbM8zebFCwmJEty8ruksQ374bBegtgTbtHOesNi6dtXDpc50d1MsjWBldN/a5TSnHeOjY58bOD5pxm1Ut5awdIJCrtWheQ+heumCWVYt9Dsz3Buy303fh3uH4NoxiJ6wac7EpgGGfvNioC2Y/KBDPX6n6Ek0LhF1zRdnRZHW5v7+PQ0Uk/K5NxkFQRYPWVGIo0vamBOhy6F6jfJFmA4js1cYNR7USop5y/PdiEDG0xYnSA5GxIS51nlB0XxS2HzJXyDZDkKPnXk/hQCP8NiHour6QLRQt5cjMNz9YUXcmtnhL/J/V9KmfPhxVJ6NyGgxMeOJgQKndgmIoMbvIcwWSqS9BQN9SDcK1cT8S1lW5TDv7cMg3jMlLNq2pp4mScLB/wd1VJARUJcDCwK34zHwd3kTfKzs8Grv4digjcH3dHsnbx/c6gsi39O/BqDMqer+tsxTBND5neiYuu36tSlliHtZwQ+Cxr+4bURmFwWbhoYtEKuMfRX+KHT5zmOLPExaiy+3nhdO93IGKjQahledR0QhwEcpJtFiqGhtOt7/9F61dn/yFyIWpkn9egSwm81+h2aJj1PF2w9buljfExgMrT4ri3hRwyrEZsIbpudXTEf1/tb05gopBK7MtYJnSmPpV0LMarfxWIUAb3+iCxSbSICirE1Oh8QkNjGai57X10JRIJl9t7XApINB5wHkNJZFlofZ9DB8ieRZXOqyQIjfH+EZ6TBW6aMeTLEmcw69im+vTPp1BSNDHb+QbuRUDqHrwSz17Yzh34ZwmBAjK4R/wyjrE7RLLnUmTbIemYONwVuoaLGwWypLYeAlUhqgPml1FseEDeSpWmJ4y2jOIkGOZfuqWEPRswSrarj+X8QwtQaIOPiUlPgO+eBXmHgTKQPHoLbhvvpt1GrJLETyzFxhGRIy5MHfTzWFdRFad4ju8PmI2zpXwUywK2fOOGCn77JUb07xvvj3TnM/1s6SbNJHC+5UDfRqU26ijldcEPrEZUkO02zDAaI9m7yb8ySGYK7kNs1Dw8vf5R1gWL64CQ57IaOtKYUxiQP+EflSTe5mfdbjK5uscPf+p8rR+cEuzc+SJ5sSTwdh6/j6ue/0e96e3QG9yUiUqbFRrn2Ekbs7a9EkUkh1dkzY0rKU/zjNOcjHlIUMl+6wUg0XZEAcnp7MyAVBFPABiUHyPSazXXCq4rXDilIO0NnB2enY60LK5yFtKNMx4VlyDkHwTxkDT4OW64AyuxXgJJhXSSgcshO2aeU49xHhjaN5a12ZJhvxEik4zeLDX0N3ncTmMSTI03ydg5m5jmI7KbHqh4wcTbyPR7BVJxA15gb5JqtlPD7W9fziA3PM5ESdJHAU1yVraHtNGorL4EQI2ZXpLfU1fzmmcbvyMva8Yyr6HrtaNI7uxTsmFnT2G4MzoYjdKIfTJ9gW9hDTMWHE84H7P9oVYC3c/vXtw7Y4KlLcS2715OjpfqLo4I2P8xmYai/xtKKNQbQEYVa20a00WxUFjgAAAAALl7ywSyd8kWfe3VZGsAisODI45TJYAtvhwEuTYVdPJVg8aWc3tO3IXCl3dnu1DYMDRtYkyaO8p9ERc4i512AJJYSgL2bWzCUR/98hBNbZAJJnbUK6lI6v+l3KysL9mWReNTb8rrrD+bbKJ26ApuJjKjgMvS5vyDk6WnEFhQBlRVD8y/CK7qupvytewWOkvbe+s19pKbkdr50V1l9ZzRvPJo7qGSKsk1PW8WlEudTkUF+qEhDzlun7jYouQfis5xWbccuOOs1KLf+40xzd29F2CO+SZi4y9CxrHiLstrsprhuec2dJYMLqK2b5/i6QJBUSc2si6f7aREvqzc3r24Vmw9CVfwWhQkFU3UJbt9ynObZ6N1arWUyZ4LKtutrh5SYbFWqutY2Ahnca+wposZK+qK1uXpQm41SrIRyEDGzCgLt5zm8Q5qQsQTx59oT9BbD+ToVip6Rp6cZ2BU1Dnm5fWdu567K5qd/MP+X0nTtffFJpJ/g/rftMiU9iyuJAYa5VU8DI1PNq8/SUlZrE2jmU8qkl0k/PUMk9QzBiTJfNr0dp9s2rzA7i4P5O7CRwtqQ8UpilL57KFRwccBrltqulhaCCGtVJJ85+2RlSXRZoKzHwonLBUoWBE6WoktZeu6qpKpjMypQHpHFWrZURgdxBkw7nWlsPPwKlprcJHWnQDi54sQAxgRsxmwIps0WyHTM9dk0xJLEhOa8AAAAcbQZ+WRRUsL//0AEAVYMH6VEdpF5ruF0jAYAG7MliPKqw27yJzDCIi3j9KdXFBR5GPZ8pYgsAAslLAnxQw5+LUQx69Kr4JLZFiA5mP9u/JGMzEQRSMHrOFPRTLBpoexuTdM9Cr1l6tfXf8lOnutEoGW43iIJEJj6dG81+mdX80oq7bWgPAkh8YFx2IqIysPKzG82uopQckUSJy8bOZ23akCWdtn19zOBMri9sc3OY7I7Mj5oYbWOYOz7+mgOkrGZBw4vmj1UrN0euCTXWa1qPF3j4Gd/xA4Cd3U/7/GjxRGli3caDgzGOZlNK3twoLKAIUVmkcNYcmsLi/PuFrv88HaVs9D8QdFHOBkND9HaCclWOWenjsGQDheKUfxe2mw/LaryFIMwDh41cNMpQe1n91tRls8bitcTA3rGewZUXtbXGrqyj1fSqn7MWygpXS515PekHAaSQ7c/oiVXL2wfeiix52Yop+kjE38DojknM/7XokA/1xWrX8ZVuQXEvVsnBqAsKZqmDrPx17ejzwNj5LqueJbc8p6nvOJnGYQljuhAuxbggFN5mnNfJa2CbhmY6D4SVm74zLsP+fmBcOkBs0xunJe7pwPEpGAUKcd4SBPMJTQq9C/9cjOyMtwdYgdhFv7Jwz7RECL8juSUaHDVPg+WVayOPyyHClwtmCpW88X1Iupx3HfpeB2FR2lMHz4EI2dwHf5FxRl607usW8k4gbjNeSssnwYqt9YwIDmD5EawXRhcIgOlSwTjjqtSgoYZ3uHK54m2TaxIXU/RIhzobZW/Otcvz828V1uMhmFHiLn1n1QjOu91EwEJi5BvVlqvVyMgGA1KJF6uaCgvZ3ihDc8kVvxtwnzWXCT8UfCeZqayjnioX8SBbBTYLQywopWQqJBtUGiYu0QQLQwxT+b4LGazMzBDjRGksshTASh1KJ+huxXLnZjh/WOFRPUMvSW2SynBHWNmkZCuG4vvVqD2kpujMryZFIB57qMyvPdxHq6X5ucOVESM+qFR4BVZ/CwEBM042TrZs5p+Vi1Y/A5F7n+nGt74bzk2BfBULPOrOGTRmXZ3mzMXTwrEKZ8hjER/wJtD9pMs0q9tNXaucbetdPzUFvJHUnPMus3yRt6VmIwtn8DS4fnAOFVUTM3UZNzdzBlJzy9S5rpz8cA9082oot/hYjyCDLfb8rJtgMvok9HJ82HHrDlnNMXAOCol3V9sxJi4V9f4m40SoSoTKQfrbwvhwIjjEPU2PHTmeTzdx6p3rnWGLRnOBssT9p3bewHuSEmfx1RKMt9xYYOpM77pIVtnLTWqhnf31wIqq/w4+EFqxQht1eJ8SO7Rh6T/5zrpAQI571m0mv8hXW4jYGCbMxnPKWyhIMi1rExptTc5qCGk/hhFtdFW/d7Cd4800Zwzp54Fd+o8ZVo8lzQorokigTu/iWAhy3/8fSkuHtWmq+t8pzPZ0d2wjhxS7i1Pixw4UYEiyzlKJOUibg5V1aeQ9gXDoNpf5+CsPbKP60Lnh/tbYEPmlBn/i97jb9gx3Q8JiKvpom6UZ/U2fcoumrTf5lh6YheCUG8GoSX1DhH0hicNh21UFMGuKZ1LYX/0quo37r3OyuqvL/5xjw9uw1XuhcbF5ig9bboawCiZyQkEpRNtyFgImuzFFUGau3j2x5H5wTrkdD1xMcsCvMkGyhPwaPeYU7v8+G3vWMcw2hNArtlPDfs6112JyuVBYnNvq9M4rm97mP8I80Pe9wMxZd9jTS9DofTq9BpfVF5fHMFtkKnl4kBrn8dNK73ndpn+BesAOLN8g9f1Wchnz6+1+6FXYhxbWvfnbPie7p1wDqGYWhtb8Q4jCMIEhGjsrf1Plh2XK5oIXojjpcrz6gKbaS0tDYqjJHM6UhWkkGD4VpCrrVvt78abntNEM40hhw3Op5B7+oUslEzrFxxtAj6JVGzi3dxw6O3jGqH6LnF2KzzPJk7znVRkrmU6sgtOlXj7TAQLSuII+5gujD1lEejcVgka4AFSave4t2u8tcz0tV4Mf6HO8KYmQTLzh/qyEiVF/2CQCK4pJIla3xCLiyyfoP/GSCPL4bHrsilkxBgUq6d3Udtha+pe+1YumXCdCSsm0Bu3KWSvO4s0NNiD0yjoBCQ6BAoNJAikNzQVF/+58p7j3Oq3eZ09Xrj+fwmPRQSHkN5WOCgWMG3nLcXaNUMX6RIkj3+ogWVvIHAtYLTlxumtgM9dkkJyvpjgcejWFLKIccIiNiYtpYS3avTVkHrfaquLa7hsDLNkcDnVJSCpNTn2DGLfH79d+qv1o3SBrsK9ZsPlpGAHRcvWdcMXaWeIC1nXpGD2TyCc5veI+giNT+1khmVGqG0cPuu21G0KQF5idrrmpZ4vkXmDos+VsElq2zXXf6wYyJKnEAhpTY9rVEuQ93SumGREAaQaFYSlJFKAEon5oKdnL/Gm/zf5Vrn73718ZwNbkn4rrI1V9PT/8Pr5a+Jnz+EuT/p0HnxvfX18MdugfDcA5hWsTxRddccJ/V+azu5aZKh+xWfhR55hSseVXww/5GkkPyq2DP0QzxJTcpC7d/l8jTVo166nHrUALXqAARQmALHHRY7PBlLrT7RoymM4dC8wZ0GRqQrTwkzp2J+LsQPASaYBOeogGSROYnTeQsaIhmTk7k8hHyRGhJJ5q6QBXIwaxPI2yEbEWLaJ2K2VqpC0gnEokjGISINcvJyok/NIYGCTRCycwhSaTHYJ4BxCFfIYKPgCqiNZybL//nF8p0wQXnyVuZPuiISs0Tx0qWcrZ5yZwVAL1G60cQ/b7o+A+L/gxpWA/iLqFrb8n2oQl4LHkohPikmFsc3jZNmFIXKJMDiTdPgxiEuCTKwnFj4EklSh51VnSR5J5r7P9M7z3Fz/2Be/dj9wBGVDEpGCIayYRnw61hEZeIJvpE4cvOt0kKgTo2rfw9jcaIbiORvEJbVpDiUojFESDLI4xxK7zElayRCJu601xHUzSGgASxGtJ4KYSxicCw5LdiI6+sTi1CfNa5HNQsHrkZ1MlwadgYifJOOEcLiie9gkpXAJPy5OnuyeW5MQy90lgMWS4TRI4mdMjyVmHdkAjHmZAvkJOYI8atkNAsntFYFmSUFpGZIJRMETxuAJbVVBdmJ9Ew5LE35ezxC3liSJctZ8jNw9jOIDtEVxefSEHAk3uJxJZMUbOzagnE24QnPISvziEukQnRyeS31F5MlNrk4ByNHlZLbZEnxiaRduCVjQEoNmUL5OGYjhXEqUYhBWRmzSUY9pgyGAgCAQm2CcKJk2aSceU84TwtQnMvkpmIJQikRLJYWRQeKITLFD1iVuARxuLIJZaRiDopHKYogrfE7W6tKoQ0LZUVHOH9sb84lMwMuf9Zj4P0hnjjoOzNcymSzwmyyKP6fkogR1ok9ilAVY0CTY9ZRyJcMQS4hgBEh1iGP4IT1lAnwSoRFqiPFRE6+lIyDEtHdydfIcjqkONZ4lpskT4DgSW10BOzBJaGHJ2bJNNj8+QrJDHEJ5BJJ8IjjMZxyrMycCJnSnM0ohR1XAAABBYBn7V0Qr8HEE2EFw1D+eMhrG7I7SW8oa6sQpuYvGAHGXdZChiMi/fGnt7lbJU7rx1WqnXF6GhYr9EaUK6E0bj3V8QCVeogefZHhoXDY7Sk4lRULVQfT2R4jfk/gHXBShBiiqxiR/CGwXZGiOSQYux57r6CkkOvyx3FYjR7lwaxpZL+b4Wlns1z5uhTOpNlGUIOhXiY/S1qb9nTHPBjPKChL4fpusjroXnpMyZAXGv0si+IMXglHvO09NY2o7ndTloyeYLjEzxLuJbGZ7fJJ4iL7pzstozopSO6CAri4K5sCaLIU5AxP+qL3iJyslQbm9op91ZbdWDCRprNCaqPut6zqBanNIABXyT7iXGvw9szYmsHw5MFPWaWlHHqCXZenzAAQq+5F6s0mkYFMCYSiLTFS6BODakyYXzllZdwsdq0si19uYL/btZM/fl4XLoWpG/P/RyklccfSJstWAuuJN25Nv4Ynw/E0KymdO8FpCt1cfBfwvoTKzLmmcQ1eBwve5wI845APv+Og0/52ASLJ0l+5a+AdV6hDt2bfmqezidjiA7jf3oPTQ4MMRR7nawP5DkYB7tFNH6KuFUHbptFRD+/QWZAkp8PTnNebb1UIRcoIoz3o1Q5iR9akAr5e6w9Eze+lll0qJShhtOjlNCJoqYGf7ChQeJ8MmYuXUJAyObnUsjTfVgdjqGjK6icdOWbjRJj5uqAm7mpqwmXAZXjVjjigz8qQg+lXPRemJumXB/j9vhWxMXNUF7MlfbBgyiPtRESe13zWcxXOTbZYpjBWykefYGBmz0+HScsWDqNKfZh+0BYkMo+40/zC5EmHE+vEmvvqwEGGGpkR1q2RPXq/dUUw2YgcIQTjKHnL9jQI2YTYRVzAW7xG7xyhAfm6EmNaEjcoJ8wuuinYe3LlwmehO60412J8FgRuYZluCUT85bZ0WCuNDruxNJbFI1iUHFCkJead0+VqhRCqdkHOgFjth4ajo+tlUO7jA9S91FW0Zjwv2Gb1ab/3RKxX013hhNAgdeDRGnt5EsDsc4YJIIgm5EEGF9MU04WVB8LxkxMyFwIiesA5FJEnMRdxfMIvqDPOP6ECcApzGvBVe4npT/yV+fDeGsFuIBZPh4Q4X3F+Lw9XkzO3RmlZxvWi9bVHsLSRJY2lF5tpVTA8+FRtFp+chAcxFzqiHP4tJBcMCykHSF7D1ZqKh4nbAqYIGsYAv4klcr0lALR76dTa2qai5RJ0mR0fQVoH1HbNXp37H81GFnnSCBESW6QPXvN9yZoVkQuNkqp+zbXXQqlrAj437AdkZ48/bd3J8Mu75KrylcL14H1qVb4Ymivr4SyBkUE1cWTL1YS6w7ZfoIPCugyRtjguymKMB2Kj8KJpy313aHukImMIrZJ2bNLpwE+9a0U+10l7e/t4K/XnWos5zOve6vWRu2iStKYJTPhY5aG/xTjzOGdy9tbc5nj+EavjLuDvD/J2ZzHAtuUfeeGZAAQAH9w4Xn4Cu0fg/5+Vx9j9Q1ja3TxA1C2d8U12tqN91+mr+z7+oIYKrNuPF45gorWtYq1gPFkv96tVZNXUn+363k4K8Uex51/g/meibZOK4+xiNvhMJI23v8BYI3V+x7X4P+n1/0ywXnl+NtW6XLS2oKvyzedGdgfgNeWxHjtdqbTsb2/lOy9TaHbGaNSTfkq95w7pv5JVZH+5Tz1jX0N8SsPXucZCWoK75zIn8aN9I443Fe0NpHWrr85fkTcMCN6R7Jm1+I4xuXfuvdDcVCvSk29uOiDpYFsbtX/xzTHqk5mKYdkc1WVEvgvBtTRjRmzs1OPCVibu3vs2Y37EW42ndN31KPoFEdGvyOYrPOfZhHiLPPOjc0v2MadzTn34X7S2dG6Dw0b+Tqgmc1mi2q1fk/mcplE/RefUzocykYgqo2LDejerY65ROcy8+fmszj1v4URioVQK13SjUM7aSrbFZs6q1Dyl9JHAflL1Xq0LIvpWRqq+Un57oW3QzVq9QcpGvdCxR7YypRmbVRcqyv6msqJLFY5eawVMSEydMSL4FU/GmO00F6SwQe1TNqVY6tPXFWeNFUjVAFrGoBrWoa11Hpc50FqpnX1Vct29c0eqvEyqQj5ZWKtiQ/X8Pn+B2M8FisULutY+HKkRKIAzCkLLNlUOZts6QFZVpLl5sOFAfn5GY3pLNkp5kuRMyOJel0ixcPRu4mReAAABPwBn7dqQl/8rzF/I13lk1VVrLY3AQGR4X1pb4+ghQQ/9DKHCrgnwk7HQjDhpw+UJz6YpHBOCVbzWbrhTBX3bngoEixfwFfAULFdrqFo8Jdl79nwRcKaOhvOkfeyuygdQrS34Og32Ete22MIuGL6w/PNBJCSmsRelhg5V3clkLO0kyJPPHOCznGsclXfiySSxPJsGpiJP3D6OAPA91+uTYRzqKh8ATOsmtxXBDmVFYN8WMCLIaaTk/6aWlnrMFwUKtQHhz0XBiAb/ajM0t3XUIrattZuU6FC3XxQU1kouDzUWxbGZdMuY0fP49jfjtxVP/LF2Gdl/Pdqevd17/Kgu/UTqoR06lwuYeIK6X+qzVyIFhCOb/I5P0R32Fqvb/hcUtsK4x77MgQtAjr23HcHE/peblzOYsd2GtS5t7yckhXR+c6fgosKsg8hQofeiOGDhWSCwr74DrVo0tZFqCJuYFL6PUAEYH+AquiPfWVs86rnO6qaUbBXCrwIHgAM63q9zAgD9DNgoogX5sN68rbTXUj/r7cdOFnl2FUP0uhXtAnMwFLe6Ilu5z1v5cHwzwMml/auclYbchZkb18tMdYP3JlVb5tnWHcuE93fHI5UIDAVArreO9cqT/lN71E934fGHV+mtg3zPOCrzFXF3z9BvtdGLG042cuMUXLbRDrdnNLW0cgP181OiLLt0rB/H866Hm2lnxHQPsgTDeIgyICodoePh+vAZpg9EbfM1cQE9tt2zC2vQnKjLkKjIWb6VMjhdMDxeRDUD+lQlcxp6i4PWh8TkadWq7JpHKhTFEPkqLmiwfnGr25S5q/v32Dk78dhTFQrYxgp8BgFqzU26edWtG0SSVNcMkEWYCvA3gFskcULKPqX/bc5f2fObWzTkZZmpQkR8VwmxDXUA6ucfoDfrBDF/oaadIDLu35vkoNnyMfmb+ytFyV9iwvUR1FKxQ4pzz0lx068ycYALZTKTRqOJsYKgw42+yY7KFPBHdG8W74v7+3zi2oZLgNyOGE2RY90849ZeHR3Q5jN0VX0rsjcvM9XQfGLnfV+Gek9JNBPgsCLF3gw3oertD5DWFpsjynpg+tgw8QqjTBpN4rMQFJKfl5lBZ0WrvkacB5DAhSfXjtNPYSks+ARyVIls9b3ubgL8i6+SgXxsEPt2j01vn41mVhjVg+sDTvcjr2PyDui1vNwyWYjKLYMn7ZE7xIckPp79C1lrLNkqPysyqqLV3BgEAP0c6jb9HBFC8S8etJuFUd7MRERg/mnvXGGdK+7xoupoc2v689OURGoXHCTgEkT/b7S9aJXA3KPDzi2A5BFP9W51fYK7REdfnK22G0J0lXTpDj2HS8RTKfFoVu1QO+0E99CXnL7dNSc7eMN72qYAQxIGf5oS3hMhSZ9yFmwUCmSYVINCLJ19VMbvMEiaQFNYGvjknFP7zELo8ZTrJzVDU/3j8bAZdv5cgtNwpcaTltWxZLi0ua1+QQAoAARCTp6Cf/xm6csxM9dIaQQXJqCHmJfD6LV09iVENpRhYnGjjDHtTBDS/pSWlbfKI/j7SYfDFl78jwIRrDWfWaQusGnIonYlXBSrggD+drXL2GEFHIOJ0tZY/NybLck6+SlSSYmk9z8pR1CDk1SaDG08GJ1g5BpiYDfD2GqEAnzJ3jJfFk4mCs6lVMs+AVEm6MZO6SI2NSFV2IRZClNmYX8NCbtAAAJv0GbvEmoQWyZTAjv0NNRZuE6NvAPzma5dO/LzChRm3pbiS2b88gKUI/nizX+O4a8pOSpBoKYu7uoAmAA8qts9uYbFuz2fDO9Q41mjpfM/t5w5SCVz7wtEOofa2MB8phUVsHmc85AAASPvGtzSd/SNB0o3Ezsm6XvS3XowPjDoqWKn+EOGVE5uI2lhpvSRgEzuqULlkyOvJ8fXzKs6FWCGOCNZHY5DQxt9wRP9FfjfRsjLhE0gDQu5QRxedGRsIFXhbraphL9uieS33qt4Un2sw7JCaM8nUMRBS3hOY7jI6O8uc6lqXQTfFqGf+0XGrRtpMfUXPcRijQxAOKIJZ8fjpNAJZKgpDMob9w2eVbGlRKOQ3CtUj0TRZYVHyRCXe3dMkfq5MaSf1tCrsYzKHnWKX923+Qfn5bY/Q2poh41Wc+hCMP0z+Mk/klCB09YbmdUlFXNEuBiWHaGNgicCNefCL+KCaxdwmY3MDq1Ljb+QxMesfLib3QjEWvPcSY1l8wmVs2PByqAI2RnVfakNmtajcVGlTHKgrofAAu5+Jy4VJRtFI7fyUtTwHEXJ359785BgNiWhASmqhpn8sYtPKaFBHVG044C+ACFTKP8D2fq1TQfCpSkPYXPgYokdY3t+q633rjqcKf5N9o8TRcD1rgBehHkyWdnlDUy6X2HtrSvDOUs7nAhJir8ZeytAT+7sNwUCCTKhpTM4gr7RdbhZqST2QiF9CWAwqmeOa7kTD3KehOk5otVC2rpbin1nOY6zTVihrJpHKWCZ3cCbW2rQlMVESEH3hjju0tZ0wS5Kn7JrFAOJB6CB4H5ShLuQoMdx4efQA9b/8kHpXOiP4bc1II2VClju5jFED7HS0emfdgbkpzQq8wws+zK8y6xbzGOlONiUSXUT7k4FOS1d6SZUmWLT5c3CwoWqobGNszls9kYcsgu6KsDtWjSZpaSyTLop36hcNaYVD9100V7ECr23+3H8k+F+E1odBH+wSpkzIsTms/vOSnPL16NNXVI4NPF37wVHDzIz4RpIbaBr+QHgtr5TaL3pn8ijeRQxKkb3wZshm1lFbq1w/tHfexzJNx2wwm8bZezs9vE362wclgT9YuNrOWg7qjN+d5YWDccmmynBoQyZvWRqnK5Wp4hTKKicIeRNsvbqvFJ1vvFM/ZYbakT03FJTVPZIXOhGsBbXcxVdIugPnGYm5UWYeCqJWmWAh3MqvPFvX0/sBRaL4zB3XClFw5o9WdWM4AKPQqKcRxbzqfwBS8+zEGmxk4U2WgQw7jhYAYqBdQLYADmd5prvSvT33JGPHigxKdVk4JDH73LMpx17Jl8zjHiFJCcQaK4OqFQqb8KYwZAKEZ5PJ0zrI76xI97LBRW7xkljXn5ohjpySNG1xSpns2Ukz9wKlaN7EE5DfC8WMQJSESYt2TQUePgh6EjTzHun1sKOcXBdvJ2Du9AADTzUgNZJoRXTi+3VU9dKBvbrjTW0m0BoyJR0TFvwLfpARe6fpPgnyhMU6Qv+Uho/xwtEu4ljDa/iHJwwWql23fndy5BDdqHsX9YXTLWDEeQ3dWPPXassL3gAtteA11pS2uwBD1MJ7t5n9UHWR7A9ZRrRfCvzdU0XG8EH9sQSLZorPhhOpCVsm0KkQPGASX766HuCOOl44DDrQxsQkbbHHeYG0YsEMHMiu9ShWkzRp8LRxWeAalt4HzeAJnxfdUHD6W6KQa8k2e/S9JP+kjqqTYtO7oF4SWuF3oMldIjhBg5bCW8bgVdTRstbxxadWI2df7UkZoLgzMWSOtTQNoN4zirEvjkpeISr85dm177fMO6CSApCKNgBgsavT9NbgmNYcBS3E6I2hr+iC1WWo+6yumw0MFhu5QmRX7MLhtWErYYIJ6T4OloQQOJdp431/ioJcRrPTUe+CFv5cf5FRtMQProBETQftfSYBSqsQGuw2FSbk9wzHuf/Pda2PptaEhP5xt79UD+Ze4VBPDAFkpnoLEdeAj46ggQpveFaMwsX4ND9RVo0er2+xvil/nlcjKZbUC+X7huP92uIkKr26j5DULDED1QmRgvzlOvxyghYMrrpg2numa2ehSy/XblD6eSkTFZUt/+EFF1oAee35kdg5WDSJD+TFZozEcoBJu3vOYm/SxF77wWvn3beV/0sTm57928TV6wIUnjZNbgyRwr8eFf/mF8lAAIL+CjAe7cD/70rqAZx3KF9BLbWJi24zT+x8B3yGPRbSwyPbd/LBNpjDm0Ga1nJvQ36CEGA4/FkrK5B6f/QNo0lKzDYl1hZia8UfboTBlk+Bu/odblJQuZMluh7CxDM123hR3+7HTDDg1Ngwi7g2kgo8Sm8FOiccc5+9zbd6nY21cw06tg423YjmBzVQUmEyTxTlXk31M50om99rPhv6KRCy66ts6ue/bnxQAcMI2PnBV5ptfyrUf997XIEMwpf9ctQGF5wuG/aywfLykBPnwTFRD2/bPt+gqB8bVF7T3FFyMyqE6HszPMYOEpJK0W8ZxP5v4QfXqXO+3Rx434pgM5tnR1tFlNB/tTL2JfbzGHwPM+r0NnXFkb7pO4G58F5PR9tgMHnoz7km+hI+gSdlYjke8IeWRzXKFhyYaHJDrYxwBKZ+hgMLtOegoWWEycobCjBb/TXNPaIQMqYjswfHg0DC9nmH8fuLkSQGf+GrEw+6ChvU0Z4kymb/IaCtPzTgWYI4jHNT6mJ0jKcAfg3uGzprmBmSRRFIvXDj8C0Y+a5ojH5emFtI9FcK880lj68RYSFqaJcmO640+cEvY4d4v9QP7vnWBckFUB6xyxGx0f9rHOEjn+NH/BkW8NCvxD+dZe/fcl3R3lNDChL2LYarL8JbWd8UNKw585+MNBtmQzobRdRY/0t5wGxVGpjkgucbR0vThYE5YsjaCpWPB9qpp/3krklGOBRJwZp6xU+rNeBJkWkqqJ7Iq4NTaYUaqKf/QoqV04hPOwnlGDo59FaNjy3zj/KiQStDRO/D98aN3aryCqPNIL9/sgCryjMKf15cyHOmwo3IvwrvN1hM6EWjouj55SjE9kOOjb1chFudC11xzQR68Wdxs9kEVa3s4WWDvowcBJ5HXsh0BD40VBppHS0sW1ik1ayXyNIPYfNCwYmAK43EXfUQs7xV3TBy1R7LspP104a2/MMiGY6Ta0rWX80iIavfGsjwcYrCujWejhJDbmgye4VuWhrsp5UVzdRaCq61lznGogWSEXp+ViGo+aoDvPY9a69PbPLDcSI15tHQuYSF8ymtzUyNAXa/mBAlsupkNdgMNwhawz/piidSQAYVhG9R+EQ7xR+Yn0dnRoylOMxp99r/F1ARw1r+CiMaBAAAAAELy2AEpVQljaxKQfEsfBkejiSIJG6sl4n0pLFFt8us/eNjCCEkRDJ9lI9W4mRxUyzYeQw0TEyCa3wEEa0jyDTkvS/LiOq4mR4DmqBk7S59t+YTp4gnv+aEsVkiWLLz7+tjSbuWCBWEK+E47DIz4pFpeUYidVZ3ATn2Z0hkmHu4fYVPQPf+4iECGTCusTwXwrl9EIHmELdm3YknB/Ta+zfJgZ1PQQSdPYEsDSJx6ZGdAyoWn7FBOxKyURTEIQFkq9iion0kiMREQJYCQKDnG7j2g0lRsEsJOJQGklEs9RNbbvPgBZaSROPWhJJyRVW8QhAWQliJpg50hyvMIpqEas2iYJCEUhZXZjCckRGzFJJsEq0Ik0fTek/9fNflu4+XCSHEo80lChEnG/BQDYeEbT9Z0jqnSNywvJLG8bqz337olYdlJNDrnmAau39NVqMXlwxK5/fxzTOXY3gnFWYZs1h2Jn6sgfWun/um7pkBLoe2cz5i1S1w2luLslYKTAQkSj/i7dgMFP569WrVbjLE9bVI+e4bjWKrWKXwID9A8dstZkZSoOUaplTERKoZFqXSps2NOQzhnLWsuFO0qKyINxVyRJejRsyDJLgURQUUQGp5HowQZEemq4V32VnZxQ4TuuTrxpnTbo5jJro5tXn3SW9p1jGHgUjKZ6/hVdhgVYPaw02C0UdaBvIGs65Dq15CCx1bwXN7u8w2nl3zZ/fDsrrXGUqv8jFikgKHxeQLZLIDyF5P5loxmYFmopmfCQUk3rrXPqXwfB+Xm3LBUWqj60Uk2TEnyJ1sl9qVrrGyw3KEuZCg0GcOaJkLKIYkEZRVLKthYaL3AAAAYcQZ/aRRUsIf/8M70Q8VcVZ67TUBGaa3R98hhBp19xCB2sCU2ZsNY8Yw7XQdAeNm6CenZp3/c5KPWkK0+gGa0SfwJZUEio+nBRjb3MaNpdspDHFRMvxo3S4L3ap+ZkMmxmWUsjMLIaL4r47J+9mRHKv5JPYg9WU0R7Z+HO0ngbXaO+I+f7PPFJd+Jb2YHOEQRlvmgWvz1xsE9j65Vj6vc1VGohkGLCv81UZMFU58K4zyRnrr75qtN+WK+Hn/ixJG0uWF33MOF2Gy2VFSQ48FBERzNz+BINFKZ+WX7sM/HEBISf9oTzbOzyyU5aXRkpjFaAVqr4yx91uFHUo9Y+dis+E9lBI2JrFINh0bX0B8UmBnWz+l0L0OE0a9TX7XTzSOq27CxJfpZhEwYz19/H20fcDyOldK+MkYBg0QB5AFbXiZOyWQudlIqcn/xTdsLskNm/690OTOE5HH20Cmido/F8BU8dLqvOzkdau6Fgi5Da1sFXnoxuHi0rbDSt8dl60Mg0F+Cr+R5rSy1V/ovs3cu9LBg3KQqlg0zFi0+j/QtNn8cWJl3mZQgHhNtgO/0Sy0CoyqWri70DpH3O4aTidaZSWl5dIMNXDW+AFT9/vjgOph1A/OfzUc7O/CNuRXcLsEMX3W5ZnSSVd2Yf3GEc0hsS4TFl1zMloymvRqQBpu8zoC3awNAHF7w6Cvrl8tXqzmrk2OK/JYs+M0GyhcmJ4z0yQuebsMJvnQTrMBXEH1wsGQPTyWmNAEk7lzia7s8LVVFkoTuWxeVMUayk3bRlgWFBhI1BEWaqkchazVBrrHc/7Zjn0kQ4oAfaR45gVvcR2WNelIWu/Eu5BWkUzo4GQatwaJM5h6CDqMtJhJmO13kpqFrj6R/LRzk7nbWs0dNVofV1OLoK7NKDPP/vVibbEaLC+WIzwCNVS/kmjmQOymd7GAsBi6qbSJMoNfUqsYrS+7NzGKCyD/NY1TCGuhJ3oIs6Gkj8Q/EBzhWEnONIzSyESIPiZcAg05mF6ogm/ahNnIx265IWybc29ZwWIJ07cO+HXkkXqhiLmVo4WpNz67jooXoKymB+jfYZBrVLmdU59Cs0GWsIdk20I9BFeClBygr9IQHva73eFzzK/zBRz/cGwODHO47G9+aoobEdyA2s5v1dQhej/fComM9qcDcWYUi08jyEsFbtv5gK8gLQomIZxfHUcbflQXHlzGFBNShGvXT1ahLDGHCQkewXE1+lStZlQMhTHKHvjtgwMY84yzdTqhOFTFfZn6dbjP0TLXl+pGjP6HoxYeO6SsriNe5LAI+MY6tUm80hxS3Ek77Dbr8IFSEpHFFkSPG9K72UzzTxsP96YUsR9pAOKWyhVfE0YATVmQQ0SBmZ0R31RoHy+7dL+xgzscixPk0Nlex/h99Ms183FNtlN1gDpwgjjWk1oTFXOPzuQkCUom2HkdOWgy0xldbizajqIcPeS6oNWAV61ueSZTtjHdqZmuHiibJ5RgeJf+spwrZHj9XwGj9xkYM8iGrXVITnx5KnktFAU+SB2vXx/jQEn7aXg3sHdq9F4uoP3qMW9wjYj+WPcSQUZ8uK/0eMtwb7MGKxh2nwiI8VATGxREu29+IotHjCCrjM1pHxIUg47I8+rb+MXazUtpEEIqh7sx0nmQ4ZA97W75+LSnusEqZ7UAGpYfmkZ5RxVNqXLpH286eI59L9W0x3rIyB/BPWo/hy05UXVSYsvoMDntQBiokVW26Q5RfmqHPczCbUj+D/744lAI5X9oL7/vb6Le9M7ctCwV8tVm/AsyGh5obsO+kOdi6M0mPfidYgDuOSqmUNycMzs1xOlYP5h3YTSG/Xylnc590Fj8lCNgAiFE3mcBTls6s0mug7Ll6phmpu/aHPrD43Pj2FqC1yACTSbaWMjMyPL5FXdp4z8QeiWj4qwb7UXvYXGJKMKAQ5twtFaCiZ9MVfhpWLvovgqODHumaxgCbgm1JEnU6vh/kOMUyW+GbtsD29zGXnm2Hm5hrcHtzm1b2xTbx7lrvoSOnE6Ti8lhfczbw4eSBaHmEdmcU8/RTgXcCuUQx6hWgbXzPD0qtnGFNUySl6hx4PFQEYNa/hobIAAAAABrNcooEKeVIXW/e/Zu5M2kAnIVMiQ4B5WJcxsS0nt6ldKaVwIpJtknxrlJDJHk5G7GDdNdVyG/6IQ7LqCXxM6gSy+TJVYuBCqYH9WtSkZUgjrLBLs/LyWFTFn8njfR2+ydVxHEw96Vct2z0nk8lnkJQcVY1TULC6Kqx3mP76RnU6FQ/lN81ZeFQEJQsISykupiRJ3byylcnuuQZhFwiVC0SrSyUEkmj9hylRaCJaBHS4QlJzJOogjWgkiltNP2UklZIeDJnqkKkknKmkDPJwY9vBy2QhNI26UrZshShEzyScJPaHoVoVSFWkRha24CYQ2mYnGcTTFsZ9cWCAZpObkCOYUTycImK5Z9DK68gTCE5BNM4lZi1LOJ041zZPN/WIQod2RK3uVnEt8RMaicJ9ZhwQxBy98cKWoxkziJjHQYPAiAheO1ufqsmIfncfbE4shuSuNvzXEmjhYWZHsjnSRpAxCYU9t9Desdw/GQqF6L4fmrBGygD6lQB6a6brMHMfIxBCObfs1EAjnBwf18WIAOQQDr2zFPRfcej9qf+EexarYvE7bdVgPljUWOjn5Nypnw66/uyzbfO6sknwnb3P1+xhJXpQnn623PIqYj3H2OT3uCUVcgM884OKIKJBE4jUnUKap9NZMY5t4bV7xva64Anyl4cvLv310Y2GATTR3GcQW7CibMa7rMd8GV09FwIAjAEloyHNjPbLMZYYYU+EWNTTjX2yl5MKxp66+04iJJL5qLohmaS5yR0usgGCwDDoAAkpHtkal1FM9KOrVQoPeFZ2zkxaT10XKkpueF1FS1GFVe+BRTpG1mdhIS2OLS8AAARUAZ/5dEJf/KH+QtHSofxF38V/zBqg5mzDQ3T7BukCZkNv6/fXfvShadu28OjTzglr0dstXKo25EUAVpBJdalSoKcE+3qScaRlAObXJJHFHP3/y+TVXKS38Xinp+MDIQOpXfuNnFaUDMt+krHq0Fdtg4ng2f1m8Pfx0rB86QEvyL6RQpoy+edgFgRWelLtQvIFcBS267Lfbxt2m5J0+j4bxZ5+ZY9hvC4+4z2ODhSim/QOlGDTVKhEN+weRcPu/2WeiSDwnlkZrPOjV8Z2iBSuZ2ANWGOk8e86tLAwrHgv8iDUDSDps6OCY/Bypk1gK5XP3e/qAe5U6ldAKbSDR2Ju82IuW989WpTLML6iQNWZ6pSEX/d0EZGaGVAcZLQRGFaUtPA89njEVD8cLi6Gni1zumy5OXbLDpNXlZUVs3Nee5MM8t/AxhnIkIZp8FG3mgNLb7GU22QzUDFKsBRHBRjeT1RN0wLVZfjSrjxRo7bYQgZ1MPc0n4Neup2hJyXCzzSiFSr4XFCg3ff6JtCT+f8eGojE22uaM6C2/g9NZlPdMK+5pY6hZoWtrOObCUCvh/aLkwRC5DyAAOOD1ymm0lCaYt5by4LuG2TiOrMbTNbDsccuGbhyKvAZi95PcgcHQ3BQPdZetOQyVuavkiPRQ/Vatv6nDGzFBrIcmiIDFg9miV4QU7gHXbYEZ/zQlXZg8I960vrWHrJgz51a81lZrKo/JGaduzHI0kWeBwOv7PE3fHX7fxSibnwYr26DEbSJnm1Jjv5B1Hq6MRJc455i2Z2/49YfcNLtC7kwLzGicXzqKXEo7gZAQZ029+4oeJVwHzZ3pwPyDepMT5ruxStok9axpKLWHdjIDVa0YCo4xgvPn95SmS07E7KZbWaAsLISrWSyfeqnx8VNefjFoNgtkOkRg/FptYdDEV5aRpgVgThPj716WtVv/uCrCUh+dUEXlIf09e3YkmvtiYmdnBcUipRfIzJT0PpiXDAI68LGhtVlD3VuDhE4QDqsON7SaJUzXr9JLpjTskny0TWhn9vNiK+M/9z3PnL3rWerj3U7s7xEuup42feTapqtyh+HykhIM2m97tzs9QYyS4BCa+NhyGEIupFXIUs9VxOM9kqVz6fkyZpvuIbexwsUIh0ThN/KgWJZ40hxK8rtxag3WainsFqElSeniejFwWgLUarJoj+C42BG8XJh92QdbQ3AqBs2vcRm/g525x6YEb9KYGVEMNSn37V4fLghcjXYAOQ2Xr52yakNMh+9UocZitTTr9+f5VF6fzpc8ffaOu1rO1AMCUjgsqJD+u5e/glHgUZVzczStO9ssx2axsnyC1Kx1yu3Y5HjLzzqjuxMNsLTVbqv3qAGhQoRzbBSdLmdt6AtG8KXm027f+OtxiqYZn2QPMhtK+UR/ivgmVANHoXl3gfhMYYFuJvoi1wrhjmCYYI/gS8ahiAwGZsZprRsvLUv9ysud+baLsxmcAEcNa/jobEgQVN6qAlAAAheACL+BEQF/JW4RcEpDyFwcnoeSc97C0iwnbcAQhQSGM8CEsm6VK/hevRp8GSLgCWQ5KT8d7MhlNOTTPJMeQkK5ZrgFajJM0BDd8TIajKEMRXITopBYcqIIVMuQ23CCGUvEIxbsD9w7AutpOVTJz6tnuJhFU4MdvvVmdBECkqSDSDZYAkfL6D4OeU95pop2BNOWDjQfm343nfsbimVy0nh7eICJpEm6ITYC3C3FIf0BBcIhGokJlMhOj4DAy9BrYIBEQgTSE2qReQnCmVKKbcmmqNWOLMWTqXSVVRG9WmVZEhSKwERlwAePDSlGI5DEkJCayfivNvasrC/zkwWKIkb36Rzb2x1ZMw7GARnQ6JJfJEQs6n/C48JygTBLmRfZ/OGtJTCTY4nIkk4IqIrEhA37VedBEDlyoUgyARMb7h0nYdJ9OZ0DiNjl/q05MDlzuImc9nnkwtK7t2XtTBCEBnIKRMoMfQO1agBcfO/J3U5MqyRHyuDtTy6lN9/D+xZAmE2EsVuq6MughAI8AJ1iSWrKPxFvgwMN3j9b/P9/cTcHDNCKChxZ4r+q03GXiBAAPvmoee9+aOdux/W+L+43Lvji6/pjVSOL16RyNm9c3GhgyjlHnGhBWODZr1DhyYMKDAAZYKJYZscKJyckjFjS6DkgXAZ4bdmJAEAFnwVYS14akeuA4jWB5JmQWgG3P501Ldaj50KIz3lwnyIlsPBjUXckejZ32vW099Oelbs24a4+dE70VrQ0t4AXBtt40NNcWWy5Im2PLmuA9LLrbp4tyT6ejK1BCz3dOirUbJ32074Q1c+RfTLHekMWllIYflmHp49uXIKuaaOZqgYaRqgiLKEg9GITu8MaAyhlSNKPb45fAEwNa/jobCojj31v7/b8fp7etEKcUu8cy11fF5YYHwFDibDcb7uX1AWV6Om1YwoWcWkjK8TsNOC8SM7pHWiCTA1Ys1ZBczXcDB0kYIsBH+9+N4x179krqCTgV59HYLZXNztGua5LB3iGKLjvL6BC5vTsgwKLF+3f6RAup2si/UPmMuI0bivif4WP25DCTGHZeeFm0TEooSEEveHMEV0RYwCJV4AOxyT3zy4/432bTf9WgS8X1XjtPIMiZ2NQS+mJ4xSCGQvMMuAwMT3o+54Hp3cXw9mKgLbfcKExHPnCm7ctjNFICaq57oE31eb9b2XjumeCSsbAAxlNHuKRLxGiCEzEbjHBMNnqpgcdhXQeVFZQgkEvTPFpAt8Mtke3ZEGrM9akrYMsCdc34nT+fumq1Fy92BzBzBoziLYJCByR9P5n43zXvbwEiEPvaALxpsTNmcP+n6bimXwwfr+JSHnUE6AldM6ASOFZubd1agog1pjjhHEOVbQD+S+j3lvQxx1X/3j3j6+eUn7Bqc3JRvrt8cUtqD0fctLcXch1tPAtVTYHsu1Z7WwaFpigLTuVVuY/f8m/j8Hd0mcYzBfuPA696RJ4St2FtVgIcYKio+O6zccbtOgmeKpq/bbKZNoKXKYQNBkfElb3s4vTZRlKO8K589MGsYlxysJFhenQpWu2ef4xLdWGnx/vwnSFm5pt/UQhkk0bWYx7veGJealBP7xaHlIHg4OVc87otRac9UqjtFmqfNrPqvmeQ6XVau82xbtFd3ahhXr171Y8yzGvRLMlWWCm1ZS7w77rU1VeLkYrg+gxwFzvD891zSry99gzuwBZyk8cO/wzzAU1hxgzqdkoHTXJmGnFsoMim0z9wEuNa/lgdCgRn4/Pnvr113Pr31lQuSK2l2lyoKgWcg4FLtJzWRBEIhTkzOmY2ODR3zt+Lz4SuD/CTxsxw67zuL9vd8WhVNE8O/P9po9VyqKXLRNgfw/w/g/6+ixUEUkHIE1uj35v5eB3TAIybBHd+NyHqjjJPrmaIBXyrk8Ff0/QAiB20HUtRdBjo7gGhP/D75acIgMlhXowXSAiVhGRJulBKtPIqR/C7RukmcJJk8JMUHOkGWC8l5Sr/z2dybnycb7rhV+3dGVX+dZCRdJLanvXsFj6Yr0wElDn1JMZ74H4nnHviz1eOU1JGavpXt35K6w//mt3TxbAYx6R/u1Anu/a0bqfcNg7qzsXOoO3o07Kz969+6fOPSEkEmUGrbFFlUn/GVQTo0myGQMershAycTAg+Hem2aUksdmhzL2r9D67yTuapxdacCdUbeJfnvlp1HUgf1ebFFN9lyqHoHKwvJe4rxmGGfJf1pHs1JIQeyPDp6ud4/I9gfu6JP6r2r+Bp74qruYbSDMWasvdxeE1zgIelsmhzP2r8TQgOMNYbHugNFg1dur1bjD8jl3yjuHQ1kY5zbhDebVMSFrSKRBYgNMQCYqYkZk6DsNTtpk4nchb5bivvJExxpjqHPr7j1B2t7f4F37v1tZ4r5sQpRPM3kRKzl45WeXBJc+FcKanCIeMoCBB0GAuWd5xxtU0CyU3HbeEygcqAxA0SpZu8xSwjgiv4BYaM4A9G/Zklt3CevrUt86m2AMT1JkvqsWKyl3v+e2CerXP6ByNj2qtM85SSXS7sLjM3Os6g+f+bx3BcPmPuMax1VjVJGOooZMZergmuYDHmV2tJbYJ36O/ELbqEtdjPpPumXNnNmwYXqRNtdFFIxgxJ+CImJMlyLouFQ0HxJSOABPDWsVfU56rPjm/XXd5565y68pVpvn2q653rXO9akDFJoK2S2bR//cIaBcFSMzarNeqyCmS5zdK+NKUDRSfibLO4DHaNMHnNl2m8tpYJmRxPovE+AuQJoXGuCuCMseF23G0ubYrk7bcZR705sVT21TBVrFWLlVXncpAko6XPZXBtM6VsXVYwfrO2Y6hh3ljSZTt8hYuOVghZZ/tv8PBySySUEPb5uz7SrLns3KKXXZAuwv9GRa+WxgL7WVVPSVpYcp96U9fja9x6tVJ+NMlcooTt2fz1Lu1j02D9dHQz8PSTEmRChaN9hvPNPEZsoihaXrY9u4gfShUmcN119oEZarrccVrkJ6HFt2JECrRfuOUNbg5B9xfD6Hc7GYzjc8XYuOVHob9VDKufXM4+2Wjj+jzho7r+X4SsDs6vbOEo7m3GhB5Y7wYlK24hh7rdzwG2QmLd8bfmTKoSdPkMozgwWMBAGY8+A5R8BSZh950DGZxYIREowCGIYYZDsFwe7GyxBmPSYiwCua4+Qed4tvPx6SsNFDuzw5hQBIRhlm3k3+ZnG0ZRYMRjDOTyuPs/W63QZRYFlc2iMRVhHvHVNsxE5ZM4xFgJydjlvE4jAZwtjzYyiDbn1/a19k2x55X6PV4R3i62RGNAJuTx8/Js1TSBr8/Y1cni1TRTdkMykTSxmbCUTZ9ePX+P+j1tJGQdbZr8h6J1jaLAK5AEsinO6dgCG3ZYhaWnl8RwiwDgBOjWsVasNHsdEd35vm9Xfn1vrpvu67upXVe3fPXfKNKpQZDBbbnSjgPX+JmWR8gcXY3I+CjKOHskI9298YSGB19DXI7b61XKDJ13Z/ZP8ff/Uhp+GTNvKbqhy0oiZl9x6r7TVafof3vgso4Hjve/bHnruE41n2q7D5bUcwXkyOS27J7aITwMi97Y8Z+TaLI4ePQvC85qZNV4C0W2zWbGrXq5QOJTMm6qionOEoQLEunWk9TTcSRanewxlm8ytU2ZD8nheM1LHG7KK3qM7WZCtde477VvXuWYxs9lz+uam3BlO/TRsviwOXJKgtHY5Iwlod9oJRRilf/PoGVWurUM966F4vxmrZwqpnmjqT+z6D4OdHy15rQFedEpJen1m+pmN0PWXdhawEfsMlAvsCc+P0fi8fDYpamNNc9Ue2WfKar2bLnjW0kHQ3ViRZk8khILyHIDFCSqdSn2L9LyfVVllYKOGTyGZaaD1x0FX028r7+4r0v+5+ser+tfqOyvr/Zd8bM+/46+pflcqFn4fKRI5e7WHTf+W0Uf4f+OAhwUJAhSYATjfHLGSqyFdoLNB8d1ljOU762BZMXyk5ud+LdcWU41NvY44bINgyNl6wOcsK0Nv7JXDjrvpLemzzNG62aT27BN5FLlj78dyWX4jb7g+aUzfep2aYuChbll08rQktHCtm2RhdjGNqNh9M19+wKRNY9ZgxDDzXxMXmkATm+OnH4EmARIhDaeUqN5xuKEuVU3C16jnbG1bFON7iUurEe3kq5rebYmvMgYEWFPW1u6f4Jq+153t7GyJeAE6Na1Umx0aw05P3+2vNes1WXGsqpKzTg5zjKjjmcKqNJM0f8Em+BwEuhspbERMmnt0nH5QS6txuo7xHM5S3QO/o/54hAqELUcnjMvMkglpL1ZxiNScQydohh9KRTDJ77bEIm1IpnVs6ig8w0yqay7gutUmC7jy7Xo6lZ1yu2pTDQdUyEhUQqrrzy/U82sKNfeKiocrXrX1imSd3pjfA1GG1ahlQr1DmJDfX/MO884ewygD934jXAOG+R10nIJfEvkaKH1pqDvPKHTPJU0bm0y5K01uQrrJ7zDRSMlVZOoTTHBphL+AJk4Rzwk+RUNXAjH9nZqpV3dY1+LScBQtjgm1phqtUcRk4yGjuwqtaVDOfWFtnW35By9ImMl1GcXjx3JNh2OAb0hhPlRM9Lqdw3us2CRbOVgUd0FW/6BkbqjUuL3rs63WAQlNObT7ERxytk0eij2XyOn7HChYKv4iuanquezoFlhF09Acq/rd+9q/5vcn6Snj3SpUUM9Kj0zJcAXIu2jJs/BpkXrC7r9TpLmOMsfAvkJtVis0dZlzJsUM2VGcN6t9Vo8SksVmu8jWaLarN6NjtPlK3NdtxobTKrNLqXVrlZuK688mQWNLxWvbdM6FNfZJ+eZUF1qOyWOfk3BbdXp6tOVhpLXtqrRMXqXpUCtEm2WvV7mPnrXacpqHYtHHYbk85xq1F5tl3gca+0M7dTtRvLFmxuO04WvbBndDCTsixvuMhSSt5YFUUNmTvB4LFGwG3asd0KeeZ1q1enIR0UQYMyzFvMKyjjC6RUJoFqYg3dKiaiQIVvDG7mMjS6SYanZrC813gAEYNa/iorCgYAAAAAAAEsfppcofps+fZKGJZjyLbpLqfmEhxrhRCewlh6kzGtwmTgkbueJY6wQ9demSG46Fbxvm/s0u4YnJpkKHESfHuek+h5cgON/qyqqhW2mmzCkV0Cd99cSCDgZ1H6xxntHUWoHt9OSMIzqnMdAmqNNjm4+0o5u+tl+IcP578k2JVinhKIzKOO4xvB3CO5TdN/phyTzIJy5ZIfy1pLmTpbRWR/gfMdB+/cfC8w5h7Ju0MD+rVqP5ixQ10J9sP3IiAdjg/Qn4ssF4qogv3PXmqMTtEHZ1mEugbtpO1iZMA6CaV1MEgApCFBIQXkGFuwPFH3jnXxMmmATgrJqBfUG/OWxdYMhhJoQTIYmcPce66c8M1xsx13B9szD1vaAvZKX1f97+pxfXNy8yN3uLkhhzF/E/C/h8zeCVZR+X35xDnmkPqEi4ufvCJKt56bphUaLA40/icqf9YyzRX7iaGvXUa/+ekrsDn6RsQ4z56ogNpg6v+udatrnj03A3WguiD1GLq7v6Y88QPwPt7kjW36vvtl/Q1DbfBK6zvM+8GoaMy7V/3W+9iUwtexuMyeua3kCbfYxnsIyU0RPTPIATs1CGEQZJ8fMHHXgNFlInvStgzjKeMctFZUbfC0Sc1UXIJTohwvYG1oTVsIWsENx4A+QnAl3YKUOfViRjH1ePu6Z18dNqFttSfaApZm0vfqmsnpqpm8JqSoUJKChUUOzQ88laJSeMJbIljZKiGj08mEtPU0IybK6aJNVVJkwmGZmEiPRGmm1UXRRxDnz0yZq208MtOehkRH4YhB7jcPT78MlFUDA55ZzmhaUt+6wYnybSJwEYVa20m1QRg0GCUEAAAAAAA0kzh+OSZ4HAE8Zpf1P9nKxcnxCc6cTv4MnmckS6AIj5KzZGkYmiaTn4EnhsWTzOlJ7rek+cc4Jcz8FkPgdnSGmhUCmb7HUSW/KwiciaRtUieHqk0K+b6q35ggaAERReIzsZPoqEBeEYOh4ZNfUlhYRikYd0d2feLFGRIumZw+xlYsDHd+1+hsdnsb292XsOwz6tIYURglaw0A8VyuWTIVio9D2fi7mNOZRxwrq16zPb/o+/4vrnmAlxw/V+VveucwTd9qqvkHnHNDxzHFe5d0746K6Q5svP+PsHASZVKRUDozqfX+VE8IEmoNagItISiYUlj4BFsWWIc/B3Db7yIVkZgyTHXcldfuq/qU6FJCISMPyfHoz7bxLu7X2jv1VnDw+/HUIuePmu4t+7NbUTf3M3YhIACR2kmh8r2bVFM/t/Nu4fGbtJy14NVsR/B28Hv7y4iUm0NvvjDLB2X95yCD6RdxdX1bEfhLdKRCW7TaKf8NsG+FS/++9/3zPtdf2bVlqPcxcqfL7TJKQl4uBtODBBkwiK2h9F63/3bXcXFmnlIlcr+Vcni3oC14skNxacOutKVUW80GbfIhIELjZp30CZg0gsJanPwA5jmBMuwiDlwrlYcnKOqlNfXJ910Lm5+ge9+Ftba6/RvSxlKyVyrpPCgiCThvSDyRQxKIxYFyQJ3mRpWSdGDC8F9q6cyBN6phDqlhEna1Iyuye2rVyOJXVXvejIRoqYal77zA6xYIcrPZWZmXE8W9LsRlhnaZCJpSSm4kakVkfZ3Launq6ePrOeYpJFtV2yocK6jojFeZMcxjZJ+ZV5+azvASifstUmkFkkv83+b/LjzGzjVapWd/fj4u69e060f/h9v+a9q/n9F9efHmv/7n1zK6mJd9OB+rlh1zkSBr0igf6ni67kSCQlozTg7T8iLnTUizQt4SVnFLGvkvmEDSvyAhJ2yCAjI7aKWRWifIutGabhPhK7YXNs6zGTWYencPNk3xcwpynYgdJhHpRFT65aAsSXjY0IW+ml3b3n3nsck63hBv3f4MkjdNA1drpLW1uRqSrV4iRv2SG1qEauHI7euR0Y/ICKyaE4uw2XT6E/A6UHV6iR+P/A4q8U/T4ISpAS4mgDYKToLuqdTXaqhzfgeXfbPuWQG9DV2JuYIH/t8VaR8WsQdI9mWvFcuZLqHYxFbiHt3xO4uySLgS6f6nQQj1P946J4l03dQrPgZMJKQ59gHbtDkwV1l/0+2831sDjefmbwuoHnHWUvo7Ut8MoE17V/KdEHwIE/E1L1NQZckYAG7yb+8ZwupRzKi3iXcAgoFuGj8nILpIlBT7XlQJMgv9XMRAcO7RkSBrAtan6dIFZLpe3/lpSVgBeSLPR5d+DIOJldfcVno6TIBFMP966Q0SK0UkipyLOyJgJkF7jZg9lfyEji3dKkMmUPEqgBUkLlmzwzIiS/liLA0EXIQ6wJy3zpLx/TdC9oZXJhNfZ7oI2vP3OTS03mYjD5YR5nuJdG7fy3+W3RXYj7p+kapOMTGPvzghIgtQVAXJrCR1qHxH5+TYRX73IAyISzIzIIyTJPo1jEl81EkJNlk1s9It4OTwcmZE4ulQ/Tn9iTmZPLLIsfCp6ZiYAS6B1OfA38Gl9OW7PURA20SXQ3rmf9mRxeBJ8A4qSmVrMF35EMnlJgFd4MrgJkLd5e1/O8rgJkNgYsl7mzoQgUxAod61uC7w/r6WIAIQSohAcQSLo3++TCDrvJiyDohCDBIPVKhcHATIWsx+aECtIPgEHLwAu5SYA/e9WfgCBUkFKokRMcEm0NaDIIAQSog+BdiOABGJ+2+oTS+6UO1EvoAAAAJrkAfc8Wm3QDSC26Q+QAJpyZGdgLT2RGruaj3pG9riSb+JELWZJRikLe+IQh0AFpokfqpEw/qcRd+W2LCqMc0CzM3k6FzcmTFkd2zx9P4us0BIo9FT+z+aa7n0jlQPo0XsKNEubf10JsndOcXVGWXjcp2szu2+zc6H5vT6VsBlY9Ztr+KqN3P4ZXPRiL104oR1gBAlEOID2m0zFWyggA7MYkAFjJJUgAL2uE1aswO9NRxICM5wqEARgqolst5cqdFaiMyCTBJZKO+I5nH4PwEjkKOV+FEI6CEzeWbcqDUkZgqiRjw/wrr2XXnW1Ov94sqCtAtKt1sJ0SWIUtYUHxlf4uREbmHKyaQ8ywIOTRESwPGvuGptiWFIeZb33jbOepA0446cMzFllYvb1H2z69BZ5zS/agbBqhuX9T5xzre+q1oitq8Zb1iA5sNA+TfVeV8bx8hO4Xnflfn8gTxlARlR+7/UqNDRuu29rBGo7/Dbs0UgOcWQkOnUXRMVEdfTd793PppS0yj3zI1u6qZtxnF4vPxUsEQVTiWVFqxyufacK0j0QEZm1qeaRLgiU9HYMuu46ShQ9LJL4t5LK3kSdAas3EeNhUugbBIz+chPuOXHRSrw4KWP1XsubffXI6Hd/0hjv4Q3HFkFoyo4hXISkYIiIMrRSTxEIsUjhapHL4uhAZNgUQYie+SEQkGgTxvDSeRbJ0Ig1BPQVCb55AV67INCPyqmVhY+ITEeVjkhamiMSQjjlhpCDVJyaRCoAnLNQAXU+9BzXZOhJLgr/JtF2nIv8LCMX2LRAblmzW9JuubYU7LKw5Vd/n3a+ydyW6T0fgv1aUSb34AT71q+Cw0Ww0VjzrueVlXl8c5Oa1MJieiVJUkDjaMHhXDzO9F9KjmxT9WqLXlVW47ZQmUHyzW+SkgMOtktX0DFLnEFWaR1itEbSiUN9ROcU97bs0EeQsyzJigYusU2XvtZQsNqy/LUlBUKMBbD6CkpyvHUS6i6dQVb2CnrUZR18sktnTwu4G+J5jvK6ir74wScmQvvfP6yXUocQ1oRAvm5pI8UeCrfXXos6Fs2KbH9ixTVAACtPNe3qef+OlFtTEk9btwyyy8DOn30fgsugsdNzWQg7QzWqWXFVfEvsjctMYX9W4VPf4G7oqKhgLFmWVcFR1/HZsoNUhNMYuySHc80/eNtfLJYaXaazwVy4rQ7Bgb6QpneUqZ2y8Ct169Zo56FXYaEbaJU/brr1go73XOl0HwGH1+6YbDMntqNHNcLnOi0STO+lRmHfWElXI9h6NBWtpi+icZ2LE4i7zytnYDL3cZI53ZntPzdRoMmr2ztf5v5pIkzO1TLzd+CeL71hjXzFTlN4yQaRxzTezeLvvnScc2U9dw5qyTEo51Ow+EV892jjtPhmm/9UrewRLn7QbH2i51Ks638Ra7bxDyuNZQ4NVCl+nCTCTPVuWXdVy3hLdIbFVZsEuSdVd6lnD9VMzh52nrNOhHWH+zMeoPNfn+Z4Y3UI+ujJ46hTFXGMtdob5pV7hZ32HnOh6Xllz00BZ6xWUipY0Y2bXDVR3C3t56QOeuZ7Nm/Fv+wB8GrY8623TR2JzrE1ozShVct40uvqq3OXngAE+Na2Ue00iy0JV5Zfx6rWb4y6z9+b4io8d9b18ySTIwYhPA7GiMZZE48zoD+peETmNbLU6f0nTc95/4343qtO0Krvp/jf7mTiyCcuQThwKLLzJ7BufO4f/P7/+T+5kxB8HM4/JhFY4KdIoTy84yjERh0QaMni39ptGUbRONGBMnT0HVOqeiZRiNcMqwpDEYiMMEVVt373fcOc99NeidSxBQh9X9fnuPpL2XTTq79pWY7TE69b5b53F2O/btFyDX7tp7QkngVtFU9HHNnDKQ+YzBmSvaqvfzjinrHxzY1YB292R97TuvKFPTZxDlC+tMPf1fVWUcxXDrL4SbOS+v4fb+r9f4eExkY/9j9bj6/J3Iui0RW9m9vxeLf9HkdQrszJ8TY+x+j+vZVB0S9Ek1Z/ucAs7Fylt57i+Oime/VTXv2th1ycse/fZaBy/ESdVsGVCkxMVRheMiIrcKXQtSqOS8puNJy7kNWYG0Ey9iZUxANhmzOFgY160a1US85zYYWZil7bfd05HlLXRbcUra9hhr2wxWMWBquoNFA3TmHMm3raj6YYFT/Eav9h0joTaeaOJ8yer1wb+nKAZTHbgqyG+Mv2aBWgpUYu7LvcTu/1Yv4rxr923LaQ6mFWoeXd29VX0+ppTfpP3aku/tN5pdNxY6SRtcVxxrTsShIiVSz9llwPaVuRvIKFzL1Jxb9vF2oE2iaQj50l4SjhkWi2WeqXqPMK41bHT3KXGsEnrNTTI2jpJbGUtndlNYkZV/GuMxYuh4z1mvGdqLc1zU6RuQ9Z1TTuJtmhA26rSRp+Wsp6ewNZr0e0xxaI2Kg6yqeQEsi+n12qjR019np7KrEuiMpOAAS41r+KlHfnu6USARpZtU0vRABKAd9Rw3kzusK3g1BFldOxubvDvWmPYty3XGIAR9usYemn0dm3cPS1StoEumYxgukeadekIgidBZFdIjMh0SmDbiy9XR8FsUFhScCYRhS/QCQB/kmrKkMmPL1njcfn/Tz6IiUHzNW3SgkaBQMrOh+Rriy86i7fP84wyaDsG6h//3xUXJCgEYbaypXXC//ZfB9Sz9I/knxP/Oiwfp7rB7HorS0JlYHxHjHgE8UzHMQ+p1oH31kyJz9kSG651d7T4v83nuY7yuZr7MyGDWLqgdw8hnvc3ffNXJHANIYhm3aNs9XXYDMjfbK1N0Ab/2zcvN/FfNfG+c9R8Zey/i9FyVZUTw/d/qmDj4qyh3p25rhp0Z4rM7vhMidY58hCLRnfNvD7Io7L+UZHh089v5AC6qv31zPR7PceWsqh13m/f3JT8p2cag/p8w7t2h6pxs9/ePSej4jvSkZgnrSWcew8qCnHitK7ph+/st77xxJHharifM7r9v0r2VdpYwRvOZlKNz+aNGmdQCn9TvLQd+Tml6cwUypxpxdzm3dIsuLqGMTWbidUkMfQja8DCnShmw0lx7UsC4NTXyWFNLgTV6zH6mBqqxgEZeMqAfi8lLwbCtVpjqnjuXrAMu/VqDYtIGCFN3m6SPToAOTu40koE0JLW1RE8KZRG3q3W2/nhxlal2nvRi0CO08gPB4CuGXi+p2j5QcJK49hwcyxFVtkEC2XJZJlNUNqfaaIFZPuHC85SZFMiuFcq6dpb8QGBPQe0R8C1mtbw1ZwjcFkaKuPPvj6uaVQl9yK685S0hYEwTUVkJEQxbs2K85xXRQ78zQpAJbMzwAEqNa/lgNBgrz+n6/mefF96q0UISTGpKuRABZ5NCKnBOVpD236taQST6ZCOPripQrENpty26QjMgkGqJgJ+i/H7TPSOoPp1xkIZt/xlbE8Z6wINKEiySdOWQiTyE0nFmEa6ebRgUBEJU6ZE7PEu9Yd8NlsiURFB/gCR11Cv7F6BhtkyVwUiAVmg5G/D5AFxGOZCnr7FMwPOc0aH/Kbr9vwUlAj0cSCP7XdpZmLUgv7/0OTS1KMkJhKCAiCDlQBN4SERBMy+9ufcei64sYtQltwpMDbeiY8cTfAJx4WTzaPmcX5ftLvnvL8BGXj/6vMvg3PPwH2GNqIDGvOf2/p3UW4+WOedttUHxNNcp6t/VcX1EHE/ir0410lL4fJWxOoaiBSlBEgX/joy3w49FtUiMHtUmB03HNqC50qEXwOubpDI/4h9yLybop3xDYXrOs6kD4t++35Jgp65m2lnHNf4jGWVyruCj4h7Vlz+PQBeubb2765ZPkMfbIscX2jQkri+J6U9h8MgPfG489VACXguOTgw38hOZSPn+qpMDody6SfscbF7SzTpfSFkrF5Qs5qmSLwkWFVa2H8hkJ8T1SinZTQ6BzyZ7WWTCdgts0zir5p1K4IzhDk0rCbj7S6BkjKEVjamMwNKm1joGcREBCC0nxoYZUl0JPNaaHGebLOdIgj0LZU3h7cyWyA9RXO4PJ2SQt19qeWmq4+l1VXkVUeoRpP2LEWGI/KYNvKwCCZbyJAiSYDsvBuf44lVdd1Gmi2vk5um4XdQ3MyVGE+vFoRnTmmgmWBV+jLYHAoCBEIBzmKCk5HMRgLK4i0uJOheeSRkhfsDy6LIKfEmekEp5mMUsF6l4qQk7LjlBNSYVDrSZ4AzWwcBGDWv44KxAAAAAANbXVATia2hj+72hE8f7QdewCCoZDGeGyej54R32cIOiEzzaiH2wTlxiEnAE8xiiGaikvFvg4l0vHkdHkiU2GRixiSYkpxCIxEEQyXEutEu392JcQcRdLIxjOj7zaSSYsARxVgjrdEQi5MlrbxE8YjELdYCRD51m0SmdT5ACSjUCUqaSkNqFBFkLlXyDj4kYfqffWdjkoUGVjlem4ruTl56/hWcTHXHxIQ8TvDFcV++dncKPBSUCnKxvSmieu8cGDi5EIiI1EYUvAYBIDZbJ+1lkpI5LvSRdAIxVkX0yNmhLrsnJ4HWIdi29T4XBEa1O3ZxHQbEjmXEqOMJW1VGIicNpIJFCSUyxoP6QlIvEqbJPB1zPOGEhD+1f5p9JWAyUadQUYiImmYx925K7K+/ObOxCQxdZ/CzB6d/qkN2WiD6YSgTrGhkQGqUNgYMDkq3hEkD+1EhA/tKPcOpCQTEmJJBASES7iZCSSjQiaREYK/MczetP63gbv1Lk4VnDqEhFpN4EhDJFBlYZIxOaiQDUMYiNFYi5m+zdhfDf2vIsuEgkqvBR+QfVsCB/m/bf5v0xIaqzGRdBsVPb3VWksSz9o6nvmn/k0lChwIXfFBD0hUwI778rIREbJkLyv9Y6jyT+K+R8AwIuTVUCXjLL095Isqeb697/p1Di01tQwWMBC3JsOcFI50pdpOE5IVItmRV2t13XtFroxClPvOTENFkT8UJT4FJuIE/GDAItakiijhCcTTQmmmklVU5qNCQUlVNNHgnI61JOy7q2ddbbf2rKFUU5JIqGaZm8MWYlKQ2YGxY5t1iD4dbMkVGWLtM09VNq0sNOJKSCs1ZuFotg02N/X5vClCQJYrs60QAcGLBcWppoc2Pr80xogDTM1OMzMDgyPTFSE/AARg1rvSWWAAAAAGtXvRsCGvYSokJIBK5LeNKI82VE7K0clg+Iku2ezCHwL76Q4RlSUeDOsMgElOywYlSWTC4g2qSz/IyHTcLdUvHkK7ScKWvPafOK5fdAiRAY8R7ylOnd++WElLieW9I3F/d//5aD+uzhXtKXtbFh5cocNdB5U0Xy6mcLtglz0x3f4F6BsB+p4g5lXU/FHNc+BICL8hBHx4HBLiVtZaxvfsjjBY0bEq9jqJQzZcYaQbMB2zCITf2vLm4ruHgw4NX/ScIzBE4voyv700hF8avSXU/AUNeyzyvh9/q0PCJE+CrKu5KLhUHb7ATKmZtirVZOikajmRipmnpjSqlzgV/MJXqEsal8mKIxXDynpjU9Drm0VSwM7nOMpZp/hK4YxBhOA9AD1e6zBQ0UST7VwNAx+nTWD5Z2cKOr6pu83Z2cFWv4Z67utNdvsnq+ktxNLSkqCxg9GHOvaSq9BX2oSRUYYxZbHds7A6lvdLbzUVHLMs07b5bykKodMcLFG4QzuhM6jG+V5ahg4plNUvzt+jbYpDLY2tmuNbihIiY6AqiJ5BB3kdBtYiA81Axs6SjnKl8aKwhlfEHRDCwMlh1kotsDblqS2kSIGKegCAbMmbOJPjmjmV92ddAWtKxG5lKQz1IKznWmdUZ3XGtgLwBJjWv46LBHXz9/G+JV654y96Bu6IEAAEoYOrIPJdCGUHT96EhRIkInqI5DzfgSOVBPxyUGD43nUPoFpA9KqIErDJaOgQ4Ii1YeTiVMG6Q0SDu799lP+rxyMToYCxzUEDHTnWWlq42cfSP1QnEZkVXm5/NKy4Vvwv/7MoqLG4ne0uyei9E3qsSaAgIeVwa3i7SwNTbVbgdfuvVGE/jqyF2ziDQaEw1hisKTJWFsRk/lGG7+3fnUNHfDZz+q7IzsLW/FtKf6vG7tUSSS0wfTft2a+se3ueeqLGFKJCBhE3AlkczD/O6KsF3c0+nS0DOp60mkTRyc4kQxVm7FbEYw7yyCTKySEaIQcypCUy7tfZF5Rt4v9PHsOW6hCGYgc/WEYx0tce6uiXmudFk0V7GjW6D+PzXlKO9uxxUwSIj8cokYjydCOTjxCYxSGk+2/Aftq5DYh6HcQgF7j1b2JbGE8R7ibXMPkhMiyBJlSO5g/AcWRjqS2ofl3jL2Giw8ac0WQqqLggTbiuHeU+z/CfeOvTejmBxGundVEDJhOTMTH4vydloBzwIYU/KfpuDpz0EDg0EATZs2zh0FqpXaLl8R4P4PjeLq7gNhp5ez7V/+fAZRGGDhwgzA7wtDNljoAhDoIjLBIxg0DcBIluXSh2wcmHACYRRPw9khKg+OAG5hnxzd+v1DbN80AmfGD5/Ku+Zv1unzufn38A9bj8JdUdbe5O3GCOwPScQqe7bvs2Vmhp6r7G0tHUCCEmQJz5BDBFCoiYCWJeOUTgIQAw+xQmDjvKYLWXBLQrI5ZCkDjOWOhmR6dQqZIhNo5s/yCcsSbp9M88mehQRSotJuO2nl4Mix45OuZkMA+T47bgBJjWv46JYaDA3n3z7/Nffw899AA5pCJIAAmkVYiyRc/JlUUv3azGyacjEtkd2DUqVVvSkfmTitiWPDEMFRx7wzQ7hB/MA0Tb2fOZyZG50hbTMHh04Nc71Tke+w4AzyNwoGSsNOWCMIZwCsV+zLKsaY9lyI4MlfTsqF7beGSNAM6nEsuzP26omqL1xxG500YWwsMZ4QdEkb8XTYhmCed15QhYThw6Ly/X3onFnduQwVwDjPLGyPd8DBi2QAkBD254Xuv0aOZv7z1kQGsg+EQe8hAeQYyqCaxEoMIiUGYoecyhpBo0gQCkgWLKos70yCW/t8uUpPEwOh69IrB12wJ9dkAPy+cKMkBZYcWwQGARbtokRQCUlmdQ1ADYm5SYSEzrJwW4/dlYxBEHSVZz5cZvqSeZ/s/6/K5LHHgQp+LgwiZ2kEBosORdn81/X8hh+9kgDyc36xaL6gL7fE30tx278ThN4dU8i/IfU+H53ATEMmQhMZyZkkwB+YoiGRGezoeTS/FZUCQIUgcxABYLP48DB96qIXw/GkwZgniGMDJCyW0xLogB0c6Ns52sD/LdVngFgMNZ+NuMRiuz+R27KOgcY3jUIKfeYSa+P0pagaZhUT1DnqDT4gGsNmq9Jc+HOP1YGTkRMnQVjF5ZYrSEEDU9GqWarB/0LVrN9ALbhntBjn0VQnQPaPjCSmIym/V8i5ozRkvi7xXfyxMDQr0234444bC5ZhrgwNAq1W4eba3B9cy/LXpI0V6Vhshq73sTzmhDPsAtqUypHjM7qxtdJQRo7XW19MjjgA0hDckoI2IhyIySCNjhVJudtU3BKjF5OTcx6e+UxQmRUVIQXxisZCZfEzBSlJCr8XVMxaiwkOVprj1/I4AE0Na/jodioNioKbl7l15qvJnDHO6ldZN15rd+xheWLtBnMdDCnuvMqEIBB3bnZBFMkiITljjYmkSYQToTAR0Ge1VkpbyIjEVDhMh8adiy+DHgMrkugNZiIjNQI+WaO6o5n3Vt3krtXv6P/tvat4rOy+4NX9Mbnjz27PPIuqIXMUg464oyXYO1Kv4LUoIq2WvKE3qcZTaoUtT+iN+1Vklaz3riM41gv1L0zzu2kM8NuwdJa0rkHa33Dm9/5m5l+K5w+l28KzQ7C1B+G51qYP33+lz7pi7gem9g6y9iubNQmLTygf3MNwf6ruC/vtv22ugcVRzAOG6hm7jZ/+c26GxRWS/qM5W2bNM/cXaJ4b/l+J0b2rn5WhKHg2X4bxj3Dsn3XVHZVO6X9Q9n0L5zk0WjK1DsDR/FL34lwfbHDXvM0bRDYX2Wed+UML2HZONubSUd+EsOQfXf/LT/SXtwfBU3zxjvTtEwKDTlVyzqHkrqi1gepdiwTMWZ6t17nypi4IO1wEhC4x7+qYHGMan+msXaGEdpXLTM6O0xxKJ4ZAQRcJJ1iTzR/5l36/r0cZh9too6S5V/eo4D4KvuVF22W3bRUG4jglVdAKVCYq7sObU5g3cTU9U8BWtVsjUOtO04gbbgiWS7xuZx194VsR7ZS5+dbbNYNB545nq3JO7o6v3W2/cU0M7LbdD8veRqZ420/LtXYRYbxVMf15N9fFbrPa5RwGW8P/AzK3Dd7HvFvSYVdiMdD6pRwegV8Sup1WRne7G2VTJrpbrxBWznKqZijrtF4pyDoEsVtqMRFDcebHiHGpNr92cjz1NkTeIbFlNuaz1xC1ejJJKOIVdsSPGDveDiu8JSp7kuv9A0pnom8pRJ16w1e4WMhabCjKm2hCwzNZcGbvgEYNa1Uqx0tiwFhgAAAAAtgBW2du5ZNTLrfRZ8rRiVW+T0deVblvWCAJpLG4clg1EmiwRBIDCUO0TMgjYi/6qiiEZeAJApEtXmiWDPKwpVJfFrNrANbBs4+Py4KYiQvKfo/HvL+XivD5FLMAY4W+s14siiCqSkBezFUG06p4AfZxc+kCOUsAmKJHKQFmXqrNCI1rKTUCyoWbGck+NDlRVX9HUYHFYV9pHM6Yhc9ug4jZEVdOZ+cGjbkE4XhM4qFfZkqn81Ln2sHf/c//uHZ1G3Z89JKrcSJUGYT0MA5gU8ohymu9OYrCK09YahEsNLUFL+xRmK8VYt2vZhnsPmNcueTj836zXa6ue66gykpZpulfSHCky8qDkIR20EHavph2iyXjJEwRyWpe7Wcy8WGh2suzYv0X8yxN6Fens0rgxVxAyQASJAc+27KcAWzPOWZL6jrS2c0WaaiMinttmhjSyzOwM3K1Vvzsamxbk6dJCJoo4IYvll1ZZQR59ibLQc/yb02C+MOA1ciotuie6ihRkvh0mqG5PZ5c+mXXthAhQkVugeAQBc8pvPptz0yw2zUIqyrUFZ59n1lRnWEJO0wnt3zwaLv0dvDCSGuQnzXPwqhZc5BK7LKGeGlzlWXLv2dWTWWZyClp2dJRiDZI4ABMDWtdHsdMsNJZ+Pt9/zNa7mqayViVqVKZcqp53bL5aHkeGDFY6WnPgoyDbBLXckIdcwdSZawObnm5SBIRJ8wjqLRB/fCMcP8PHX4redMY6/U3QsnKnEDwbEXOI2kfLtxXHxpU4MmB+MgDUtqDxT575d+0qsC2Vzt9A2Ct8RvCh4jmNkhqXHfzMsDRvmcqSsuxfAUeVu2z80yNPOuv7GR9b43TsLzbbXKJMKPuRA5fFecCQQW6L3bD6tsPIvAajz2v67nWa7E8+Z1D62Aq/HWUjDvtj2TmsZVqyUtno215lS2Tbo2WpflNHuWu1h+jX7kub7RbcqsPHPp6DY+gY8LE9C13fLPXtVzCnRtPb8ZzDKWWqpq/j9s7Hj6k+Gn1UEbsGPmvUqoSLpHJmG48gpgKiBUNjzivt1VobKT2GTkJOz2bWLVjVe1dJ9BS+P1f2zi9aKOg708P7Udd97uqyHuSR3dAXFPEaQNr8G3s+GMh0FgsB6mqz723fQF7WpMIReoNrpBPnctJjJ/YHuT2R9Vy4HCX4Foj46kyi9xtfxHG8sHDqSyNhiTntyrOANygSYKMnn96qVfUj0ENVbNmdcZZi8K8JI3yvEmhxW9JJTr1f1GSUM6eVJUkEQToxoWjfMXiL5fKfsqgFSqzO75atSlUuDIVvpEx9fKec4N05OdGgQD1FnQj2ixy4mUfUOO8nJnsADBD3qnNIaTxaYdpJUnD4xotb0w5Y1ke1AkpauMuXaS3wQLQG7qk1Xq2+3sh8fLPAHrZKVo1Rponoi3Y0azcpDDEYLgATg1q+KzURlefD29e2jUus5yZryrjc5qualypVVA+2/jwsstj3DXqGy5TxlY7cUWSq/Stu15UBD4LU9PnPVeBxvQYUuHoE9d4nQQWFmKBKB5+0scsxNG+SWVwNUY2TcMRBb5UtGEYzfE56rCAUkMGG5VzXo7b24pSrRubN1rSqnnIunykDC5Twr5ASl+3yrXOmeSqoFpprhjMK+1PhdRn5/MBYSpUMI8u+N5QzEeM3uGh7rrO9VmgJ3/h61aKPBWivPMt74/NaVHRp6/eqw2jcHk62ssS1PUgHGZwW09AqkA2gWOV27kFIVr8JW6Mk0KJMpCLIxsasE098odugI9d6JbTZrXNvsFAZrhi3vzVtXahxfGMe59EmclJeeV2b2OB9Balm6rtSUlBGiO47pvi/jcQmEVzMWu8T0HIYsv9B92+zZp4y2hfP7syMX/VWodYMMQQ+USwFam+MOH6Hx3q3R2T0S+MgQeR9BpDtfjfP/sfSHGm86vieM7g7A9P5rz/DqPRV9rHDpFpq5eWOyPmM4RbVOyrh48uF50R+k/IXYOSvvGj9afzfeLwhCXFG/fHP99aBlj3+GQtbiahAuvTHf8Pnur/rnWFX2D9rsBs8x4ne0wU5ozjPIjThNoWLICNsWUVjJ09kkNjXcHBfuPGTb+/bp/wVOnHEgGsc1Vt2ck1X2d/4CwSCyMUXv0TEavYoHTQkJnbIl+6pmuO1eoWTCdEtk7ZtcO0zjaMCEnNlRj2yd7Hj19g011Np8hiPRLo3XCUvq+V84xvG5K4Qdjzut2PgMohI941fHm1eEU0fY73wEwNavgs9CsaVqtJV5xOa4qrzEXdG91FSKJQ6wrV9IacbwnN8FlPW9m6wp4/es4Sc38FWK9YNz36oT9mhXnZLXXnq72LFwFSx9hWGyLHXK/bKseqykzymzNWdQozCV3VXuqmXd5gepEsbJjpm66aeob4SppNGdic6ga7tqmc2WQqz6JYmVeo1pItFx5tdoVKj23kNawsxXZcpzSnUmMqrPHlbVklpalksc+1uyT/II/JFWsCq5zmHX2iUfnq/s2D0VZt9EYV0tmxrKRjShgUa5a3zjSqhr1JzNxmTziSGyR+O4LYQHUb6Mgl2K2zrwqm51wPSO/9A5FUk+AbbZTvnST32l/LsljXRjRzGpBn7Fo7jV1NNw9Ufo8k+dXDFJ7vHpokIN58Zd8/KXcTJo/MP40bZa6qv/GX+b6l+e/vEim/J94Eig6+/IvDMnD4qPN2/Uc/8wuDP2h86h/Ib6+u+8Y3yoWFI9W5qecZ+e9iW74JALRQfTvjo5bHfvFPjWclC2vpV3A869i4L+d9dxD5rP5ERfOOR5lD2t870Z9Sf+kath0C7W57zqH+rcmThUEBDfUbO5az18Ue+ldHbF06D37jbg/xJjmXxXqPuOza0ywOgl4aT7DIf9XB5blUjO7713lNky7lL5fxs6ERsW9NcK+tdm/RM7LlOUvCraoai/Ky/XU1D6L57CltyYp6xsauXjXCbBzbbwamDNbl0bBOLo2RQY9S0fLJh1MzSaSxZrdMBkF5xFYp6LZ+2d4XLnVWfZoXjcc0tFpL++wTEpCd2kr/xrhM3W1Sujbi0dpK9qZhWNtmcT037ZzC/cSkmNW7FT1MxDMUxUt3lG9KZOFwAEYNa9USyUGEAAAAAAAAQgYrAEkECJCpSeCA98kTMseITwNQnxn2OS8OeKCNPYEeN3CQ7JK1YuuYRqQSCcCQhY0hiNOQ5PjyfDdyQy1snmDEVVa4RaEypSkwSiceKTksloxCASfkkVgwIpC7uiHHOOEOGaYhg5tiGgMi8z97W/BJ2MWTzOfJ6HQk83kyeJtE5CyapZOzRJFQQhwCEQ5MKCaEfv+6/o/45NCMhnJtRPhMfgyaSi353FAv1FU4GDICpYDOwKIHPgM4074f9ftvpP73bWi7ymN8++vCQMzfCah3JiiOeX/mMy/7/kNQkfQE2Wowq1tSJlweAZwbcd4mtu7I8TnqeYnR3NH5Tbiiy78niwd4Rz/b7foMFGFQuq6w0vWUcBitA2t/qG2KU33hmHd3cgYexz5RAZANXE1y8TbO907ucpf+s0m2wz+oyjZ9+dlUfEfx95/i/uex9X8p/d/r37TVHzFyTbeWQA3jk8XL/eeQAWIB/84PuJu7jTXm82rK4Od9Cbuz3cnMDudKo57Y3aly7ffouxa9hmeWG91JswmqViPoBAI+yzX5VurVt8xrJKL8qt1ierxOvdkl5zSo6C0ivcK6VWU9r5XS5wjwt0d/vXDd4oJLx2AbWpeX5Puh1ryZJDhxYHQRqmKmgA75ZpeKQSgUopbpTSjYDrTRCTBSMaw1zJ5rgQSlsnGIRyUZqLkrdTSkEnyXCWCOBm9hwFCSFCGawIQnQPyye5PojywkxShGIFFXCuRIbk4UyshRd+BghgIy03RjnfhW9ZbZoUVIgWipsnEk/RRSAcZgjYqZOpDOESFAtKhQwATtuABJjWv46ExLDQnXzr29Hx+dVJJFgIqqiRK1uoEzo+IddRAi7PIZLjzvfJTpdZIIoLLoNU6sIGhENfywhza4S7LGIloVKi9CRSEwiJw4ZOUEhLnk4jyOBrkZLrNCQjQyHOeiEPE3isj4J25P0J4OIZOQS2mIJhqEassjPJUsEmKVWUKxJJKOMjFiEY0fB5BODAJAhkMDjSL7ZLESCOCWSgYknHYRxYiFqQQkjJooEnQCNoZKy0jQl1EUk0e+u1PxOPxdCRftmfj/atc6P8Y0T8V2L81/T6p25kv6d65mPwzJX9nwlnBjLa5uR8KiffmfuP7Z7MjfeEl3ru/cPJHKX4p31XTOesJiHg2SNE5cplvcPmxxc+quUpaBFnF1wrXz7pzs3eEA6mHQ8MpZ7QlT1C7JqmcqYrOIxrHWMamaenWJc7YirRC2qVzJhdKxp+mw3pP7S5uK5cDZWvrdRdBf8P9UPtQNDouHJNRD7rK9RyCDOw/Hbm5iJoFajPpxIBbqLdLu3Nj0IwhHlUPHx7HtUXmBKSL773ZyNW4/iJmBvfIhEJVD8ncfMHKcqj9EpT5a9cUtjctgOLD3PQAeiLwx3bVHweQlHSc8vLFEaUQOlrfGdPN7MNwAIphSVUYwsZHSMhtOxVfM+pKdt19rx7iafKN/V46utg3gw7WgSizzzVUojy3lIFN2nQghQYqTjN2ceWBBq9UuwtfXhemB2RPEmNu3lGFV/gRpKUU2gc1rSKiAAGhJSRY8s3Nz6y7e3y56DIUGRPAwpRQikfm+IQdkaWZYazSjnbE1RiolRzcb8uUkuSKofse0840ORTSeNjEFQIKpyZGrQorFMWZgnecgCTJaMyDJ3ZmgnIJk7JJbnWHLA+xAycjlFyYR9FxNseOARg1rlR7DRLJAmJAWEAAAAAB1I9DSTNwABJsAAARk5uiqdFEJJl0TGJrwBPVawh0zyUS6XoyVo36YnBiE8VvifQekksDwslxOIRym/I6WwSj4og+aTJKriwTv0iOm2BHGySMKTXTSOPiEtrNI8V05LMdJJc7x5O7KugRAfAcCyxKhjyadcRzZiWh25LQaolq8zL8slUkkc/iCWm4ET2GWI8H58R5LviPINER1/ESGVikVqmSySwNMlXfguCI4e4RqQKgdKQJmHWoP/3J5vbui/sjZz/kBR/vJRtJMbTdgxNMeU9g5T5Rr+l70r3OPv7Jver9Q40Z+hyjE2Vtiey1n9UwzrW53in7P/LSM3SaVwu45RlSbYthrCvsSXbaGw86t9n77ZsrfM+/u7/lLPPxMKifLA2FviFVrB6F5inMT9hY5XON3IIkK92QyaQqD5AYaMN87xcFkcxLr3LCscqvWwk5ziT+9UwNPFOMvt2b7dD3rBe1SIDkRHoFEpH6ypK7h/Xoz8GIhVKsUkeJ0fWQuxvv1nAJBB0TtDOdIaV0rvHwXOxPV8cdkNVewm6RVgiglvGIdlbC0dRRyJgxvu6J5Ipi5for2cKqfdZ1Wz6scJtmCNvZykhNLSGEDlHVDtbK2ENqTB+X7uVSu7S70n47Ukk1f+eRkpwKtcQtkFlIwYwA6fCa/QEz2UXd1TnowP7pgFvap8pAXHKoL3atYAwcaGxxHGe8qkOYq74R3WfUyPJjiTvSRufmO4LgiEMA3QX4qWUejuZqRX+PMvusul8vqeltZB7f39f//32SNu4TBhSmGLOvGRZndoNqxY2itcUd3pmr7XXG19V/mxiQ592HARg1rtRbLRWJAWCAAAAAAu3I0kzwMQSbAwAEg0iUQN1HqKBgLSM/iZGjVJSsQRiruXIUohwJ5KqElltrK0+ToZGAGdA52Z+Wtc5MEMhMXLa5RikbMQjOi4DNJJoEplIiOYRnLuuiSxeUuoBHN5YlpdHPtIlQURilJnwUzYq3V2hRzqYmodoV59jep1wLeZCGbOxalDKZCI29AEqKCMJ5FLbSJj5FkkUwbSl3eIiZcnNJwhyxLJTV3a2oh/iyLBXdMomJWSalR4PEsvUSLAxfKdoZPcTjqnxWPE24DuCEwqn4z5z/ub1wrUkH43gOlGFo6n0fNl77E+ofoLvJDruaVv9VZerv+0QVfpKjBRi74SB63TTeF9S6h0tVQ/pr7G11QqV1ToM6BZ2dYaVKgw+9nQ3tiSBZavTfSew8mH/u+59YX3uOGSIpTYo7Pz0pwanHbH83IRpsjH3rhibXFFWcxUVaiEc0joE97ujinuZuSpNB4h7yVjdYY8Ho/C485lpfnrHL613r/7bnnbbuGdcbqSyCkfKfzLWBwv1OE/K4ajrn32hUPGYTrWg13LF+t66rko5vtOSWAwBNfMGioS6hxDZagVcA3Xzi0ZpRz98nKjIqcSamjGL/GQdXkLqfSCr2BwCh3PtoVnMMFhmT7BnW2jMaFtjMph5RY1GrCbbPf+O7i3fH1r8x99ea0X3BJGtLglLr7PPlnPRfXdtsIqi4sMCsMsVKkCJiRwAQjOmcsw74FoskypdasqbJYtxJ19AnbwVA0Ca9KbV4Kyrv2iM5CEDp8BFno8eU0qi8cenfR9boZymekrcZYolmtp4BGFWusOZAAAAAEoSvZOwcLGIrTjogV5G1CJVtQTqIIDDKq91YKQjJpEVTbFi3SOoplnysELs8kAFuom0iM2rPuN1OJpURjQK2VabyMtJIUWzxyhQJYPGWfHIwFkgQyS4xKLHJQGTMrBQSqLKf92xSb+6y2Lo6Mqdw7FqN/2z9zVjIthuacJzDBUG/vYo3ds81S05R+Rxy5jz+GbuYb1cy1AuMSIT9yoTHJ8FZwqX+w2aD5Xprqrt7uqJxWE+CkBpus8Lg2qUmo8IWVjS+DaiWxnYbWCeRtkihnEstGLAVSKHRCvhHNJmuk1myp1HvO2oN7j2ntdj2X+/B+a33O9XKogfqaFsNCftYphPhSuYohpFMolBRTZYfpR6lmp3Jvi/lXQFUWXIY1ixL3N5JKculLoX6mb8218KTNZRIk3HhUcF/JsNETVCLitS8XVY/u1Wp4qrCQUIZIpM1Li4OGA0Y+a7tMDZhrXHlKjiaMWA1vTjxXR/+9HYhEvNRZM83dYmZ0U4lI42jQI21U0MxPXgJXbg5zNNRJ2yKFWLAclFF+gtt2p7ccZJkOhmQBdycoA0EXJ1ZsZq8HcjZANmI266CB3XHFDtwkE8UQSJwIWFmKmBQ2BweRAYWR755AAROlFmrB+2lqeABHp5umXeq/zf5v8sk1medc8c+zuvSvjdcfb7+PPP17X/9eGpx38YcVq//p/jWvj57445a86tG3cAgSNu7AA97ipNgN4vKOs2KS/eOmQHdDwIcUVKq3QyYQgIfaFaNICLUYNKkwj/bkyHs8u/PmKFHVevSZVf19vwjtwgxpAovLPAyYiZ3Hk8HLxAZeAOLFK7KTcTuqYf2/G34DkjJh6wVagc6hwdRM48106TOStmkIYKTtAdANyeP4/6vKwJx+QJLLemQT/G/9Fnu+7n7zkXoPE/+WdSvrT5Jc36rJqqOc5x1UKKUxwabi8IuwsrC0r0t0V8jFZaZSvRu8MeRCTdaRRiv/LK6SUBNjnx7J4ptERGA60Awl/9x+5ec4b1XgQ8rQ6KcSO+7gd/9/fe7GbUIicMlAnJgb1KRFCsU/51xdRf2KjNdpvrhEYSITVqSxR2ei6DToyf6hK9syeixZHGzbHtkAmI5O8RwCiNeFj3Jf5yOMjkI4K1XJ0Egtmd53iJGqy0k0MPmHJF3F6z0JYgSL0/pLSBUC5aISRArYRKAkiMHLnG3g9GbzE931VKpcoyoDI20q3LQACUJf7YmEHJGdYVugi8nooFHMRFhvttGaK+21IPvzjazQ3nUYaIlfIZzrUu9ehvPeFETAO+pRfoXnSgk8n3Yioh9qIOJbPrkNhTB6VgwuXMnF4xsGVBv2ZWOnhElepTmojkBFrYGmJg+7E1AxTkbP3itEg/1YmSKPccC7yl8veGV32OX2itVysS0S58pbyOuSyiH+PKZf0xA7J1PnQfZV8wkiE9DmoozelEkoCsiWQfku6+C+adBECQbPDvXwt3B2Y7lf23aEXt4BIgvwfCJJQIdRCufXuQCa/50w1p8J3ls78T6MTgHmQvdRIA7ebQ48qg9BtiwCIDfIfhrdBYH8bxGRCIxVlA7VycrRcojtyLdzicdHp1SocNojJEPt7OkH9V13nqP7SDkrKXOtuozsPKgiDCEXC+WhkoghJJaZaT7TgQ+Y5eFKYtpS2Go049LZwbqL53MN62iGM/MdYVVW4LNJg56mDb4cekn5Nrm3eSdAoQmtp1HIf4PmF1Rbn/ui1ycza36qlsdQlIkMRIGHd/cARj1rFRWbAWsAAtMqUa3OiqqaqrrSpICeHCRFAItg5VeRS34maVCBwCAFZpFxp2gxk9ezwg9Y7s/Kse7dhVcfcInsl8OumlBPvkg6fAi1+aMme6XwFN/BJyKSZHmsstue13wiUJkpDeDuUNn8v9f28HFwGsQCHOJscevGc5pmJjKlLJmNCB5hsyWui3KWfJpapsec3dcl9VlJaI6qMO6uosL3k3Vt2VyDdUIWxThU+OKBKeKO02BYWda26u7VXU5hfATWqF2i6t75MHHiEt90qRJLli9emjREjWWnZHbMQ/ngGFecw0VJFVDK1WqSk0Qz1nHhPNbfWLRulEsJBpGybXMxkpSOSuerZhWT40SdwURfdrKnChs8nNBKAey4AXVQC2uXB5he+Zqacyi3QmiFJ2K0WKJsYpii+Z3mt3SYHhywmrsSloxxeqymijBjY0GU1IbCxe+hEwG+aESR4GuoTwKSKlICF5mSah+eEqQaZkgxSF6URYgd2F/ARg1rFHmLBjW5rNXvfG+NxUrgqpJeIdbdVKvBaWw9I6OwVeKYtHmKdN/T67tpxJP893UNvevia+hPrksqzs6vX9fg/wIrNvb3FOTSBLmVdpxwupQJyyS0hz8QT9eIIxyBLmKgLKBBZAlEz0ww75Kk8JaGIgpja/P25dTs1RX0k78yjVEGLNLERABSGCCa+SeaJQBviMsClFMEAUlGi1rGFMKSbcGc/MBjNDPQvmf3o8slsJ5JAI6UBaCd8KaAm2U5xBEcb4yFoTwYCDwz7kErHo2RVraoV7MRqXvzfHLCxcL7+zti4mOjXUBI9Zags4hSOM8KIUtL4Lf3Y/vfy1Flv/HbOVrea7dPfX6CLMLHae2ula0F1sC6aiyTpX29NbJPTpqjHQuTSg5p4ltQwICnvzQtUDFiqG5JegGRgvkQFZZG/EHBNDGLpRmo0eVEZkXjt20SLMyXAHC0TSiI1BVGCB9Ox/SybMQgeF8+NPuSRFR6W8AwXnhvX1HU0CBNaqQ23S5cacREODoEW9TeO+ikTAAiR+gEmIzdU4SJ6DA7s47x244hFtmihC/IpFQiEnNTl2XARhVrHEaDFjjmVrKXQq1XSVxVJXHNrpbzW7aSZQX4JMngkCM7Q1AKe8mjl4k33/R3im4LwaCuVUVKWTPYz6f4Y/b+Oppvw485nJw1OhsSxRUiZ6zKr8C1ypsETC1ElCJYPUNCTAnCWmJw28JUBWHjPtyGa2eyuXxyb9W/NaIkK5DZW98uOA9RXVpWgGZEwisTgmBDIgYfQenvqJKaTGIvIwkY8OOjt7vb1bZbi55bc86cJbsMZUhg8GGkSJh6UFRnkAV5llkLfE6CQTAQdFskBrC7BTDPmDeYLqAESGQIEpIqhkSMyhLb/u+2TKlz9fdpYa4tHu6vbzzU78vLnIiRMWtJhBNUoioYCbAQhQASw/TLQ1kDaMaFNNe33dupCIOnDHbgqJiKlQqgYDC0OZvRZUk88gxIn5ZYwYX56MZFIac+FTa8+ikjcLDGkx22BMpLGmRIIgGF9CQyB4icikCYXa8qZWWb2ihYw0N3V3UwJRQ8Q6JOPtLizsc4YEtJc2d088Xh0bNxhf3d3SrSqeXXxbrCjo98dWnfDIwtz5gouQye/NSwwUyaqalTU+y0iU3MKw5Ulht7jvXDNAYI16QsByClIPvKYfA5+hwAQSfpt1bVKExv83+Q/JKqJ95VVV/b9U/H5p+o89T/x+A+/5n4n6fffSNujBcgBPDiIwGTPfkSx53WOTRkSC1nFVZ3+gxGnUFzumw64zYGCW2GGECTceyrMK7RHbdcYPy+S5G/WB4qrknVRIS6LB3baQNHvlj7wxKO2c84hEuHbqznVs1p7PDr5Tt5rYJ76LyrYM1r9I6+xr1NZ6hqPLoJtX6XReg9phbnZp+89U1bF+XWHCaW4tRe1Gq9Tj3JqZB7CT/Ge1UoPs3vZvTBUlqTM1QRxEAqLgbHRjAaIEI+ClbhdVX7S1u1Rm3JfbLBdIsrnrEOzbd8TpmVwZYuptYlzu6VAkIMPtvOrMCFgYiCDxepVE4eKlh9DYEnOj/5LcPkJeXfOc7Gusl2yLOFznM4fsxDMSyV0JDIiwSJaxic112QMmUCUCMRYIhCik8WLK07Ak3We15hCtJs++RKLBqUpyrQfaDbPKQEWt5/StTPrVGTl4MPE8GvE4MQnVtVHAx+UkOB9drE5DD8hJ6K0Q0FglrYVAVSA8URXXIYEhM0khgrJGFRJikEgxCNNZEqbHskYGFJ0ZZHI50jWrWvQIaOWSsxiOPp1kIlQyRO5DIYOoS0FknbpTNnyMLJEQkJYzOEC6InaxRF+DoGnKxCLqRG3OI0Y5B2BJTMNMwiA8CQsakjkdXZ+WJSqhMcX86QmyyeKOSgziOBnERQiMApGhKI0JJFTSNC4RsSMeoIgQRjUSNCFgICOb0pCZb/DkUqImGRVAIwXEUBoWOSTBJqCRsYwjkLZGXEIBYSmQNZ+LW6MipxF8AjAaRSUiMZHHZIjiahFqiMy+Rwt0jNcROwjKsEZcsjGgEWLIuhkZEwjMlkZtEjTokZEAjBjEcTZIxYhGviiOPxRHC4cjisORwNwjfxBHG4sjgrXABGIG0cAAABWgBn/tqQl/8hN50WzxPOx+8LNYJtrc6v2WCr/pI6v048KwTWEQpOTV7VmdTDQnbIDphgi/wgSu/F6nq9NQpOzQQ8RDWQr5idDRttvf7OvkS6qeUUWn3hsWO0YsIni//NedLXQiZadi/vsbzoyPAV1PNU+FzXUa/OkCXFe49j9cdWZKb7Iw39Ht+YDyLGn/AelKBJ6ON6iOEJnEDyvbKP+fCfBVSMUoIpsnR6lAACCPR4XHFA0lKu52eeUPU1suG3yuf57C+x6BhetbceJIl/ORq2y3Hf6uaz5xg4Axb42kjnQY4djkXVIzkLAvKeEeAVwOqn1CyEmcb3GhGA8mxhVnb/2W8qH82FgNnXwKXcSnez+KTFze+afBOTVKMpwsMCnhhh5wRiIgcM9k+enJ5UYnyr3AvhwwBn9E3VzDsQdp8+EWSE+VShK0QNE0vPMozuRX0qjbuB1m2avr3t103BC6RTcqo05zbp+4J5vHJxe44kSxmv84ImqZo88tmiAM7w4XiDHbvr4hk+t6kjf81xN/yMWvg9kEfomsnx+ecCLUYwDROTkO/zyJH2nOOkwcAacNMhLduAZwBtx00oKVOQytkaXTewDnoiYGNR0GAOzVc42e7ZTdr9cR98Hug94OY2Z88T9MzTFNYWUoMBudWS4+E/WksxdfGOLfi7rWwh6Jo+rhw/cZ/DH93IdMdtPNzMGoFqa7CSqJZhgXDyZRBOrC4BZh6w/Rpr9v4Xh61IRmlbP2m2gWt2cuRuZRJ5KwKTzmi/sb+iQDgeiDCeQ5hpP/ILmv1O1/C+pvyae6dOlB9LqeS/c6D9hcfmnhsDyEh97dNT+OnqVlTlrlwSx/WJkNTCbN3hbfxbVoYa61tg7yEWI0DjgkwSozhSnJRNcX8k3z41Eky7UmkuinDbdU4Tn667iioRas8jYX/iSPLl3OxfTFpBb4ZY7L2NzV9hfsshTAZTQemB9/WOg7Jv0IpcbTCKoLue4q8LIWg+Q1OwhVhQGJDSyA8hVmRxBG9Hp7mJDtr0CARdvCcYJ0hLjNEYd0brKiNAZALy6lW9+yoQ/wHURmkp3bYdW8tzGK6Cr1SisH1IZUowAJdG+mdwyWn905OqNctpv8i9FqufyC9TA0UfswTGF7T/5sIhqSbDG7qesscSilasbKx9me+cCXTeqiFA4W0z5OOeu8lW5cRBQ8z5kjwqn5+7sSNSIkOr/d6oVbEgol4cCs8c7xfBwnHSjBQdzEZxAUDBrgMuwzH43q/mSPEk++s/MBE3eKEJ375b/zN4Gv7xLI1DY0j/N9dK8ce57bp35i8ldAB4U5QCyPfwmmYY+TNzVTM2DqD7MmKl5y09P4mdukMr4UxgAFCF2uRK51UZrwo7KIF2MnqEp5QKOWTySYqhubVe7vJ36HHSlyc1+Yad6RqW1J3jZoAd3nHjlPESNVKduglGouhJb6Il8prg0c0XWpvn1N8/7TDk+Dvvgk+lASZN6kGPlOsoAeSFamhQwasCueygkVr45hgiOY9PuSIWqFaxFSKMIegRQndyHXS1mn5XSFt0jG8usv2lfsvnKJZgU3AqoXbpI19TXfMGTAQnC5WeMEJDwGLIjzYdqew8Tf/oSD1HuAhdP5O0dXvGEdA8tk+mtDGtwqUJZL2Ar7ukp4ZwSBsTguDcUT5WJktE+9h/HKV7ThCapXLmuw2jjM4r/0QMktqq3zivfWZ1Mgbj2+gEsq31W9VtLs6usd3IAJgDy+gb44N6e0dsA3S9ehFUO1PFhAeS1AYAgMZ8AAAC7Vpm5kE/umtLjgamO6avSqlgdaqd8TV0fBZAih/iGSbFc1gsUJPf5T3XsgLwzxg6cHrAAAJ20Gb4EmoQWyZTAhX/4liUv0ftTU+9cHrfTxT5cYtaVAHPzKr5Ebqlq5vAHgwmAYX8VTYpcUuPrLfxYVtUbE5uviHqZ5OUSdb1yCs+cOBhaNNr0Soedz6fPxWlwgJqfhkG5yLqjBguTyluNM9C298HGNqoqpfwTP08eCJzYPJ+srKfKVlCyG6uXaXY6IfyeQo7NSk/G9bUnE7g1gGiFkG1H5euJYIo4c2si+DiP0R+feQnpkhjc8QgdUBDI2sRJCwmwmgvWPdTLkFhkJ3/dcb04tnXhBsN/XjFQAmU0HDFU0Lk/u//LsnKXoJq+9ZpN3x12ybAkkhd0XMwTqS9qN/acf94GSJCj4n9Ff9Dz8F9v1WigaFY1Rq99A6nDfjAGxs8cM/ozv4OYooJwokLOMBPIPgDrQEHYHxv3kAq+gRlvFp65qTCpbJwShxTJ4NItEK+RFBnE0lyNdgQoB3qbSmyF5Q8c2eEgfDu0C6P7B2suIfdLqog7+E24vkSAjIwy96xj6CUXTI6AlmhAdPoKVz9IqzLtP3nga0MtNns+9Ooyi88RC+B6ZZu7HQRZBUFgnALkoq5wueXjVpFy4+cTasUnLZP8zUzerDxkPx2vYy9hbQVedUIcoKTOCJGWYelEQHeEt15LrSovlyQqOKUz5pCDq021fUVw+ZPu34/gLR16IObHf0WxB6LEwD/jiWVeHX8wSfHe6fVLAFPce/MnhzxCnqk7BrXZi2wNYPDApBMaprcGslTUjjad9pJm/AiJQYSXgd38kvGy05suPDM477WeSlQPR2xhEEnffncvHVTEiKl0m2H7aTShWkyEGmDwwxl8hhntjzM8nC8dulo1uyU9dnd2qUys2bJxc7h6MaErfW+mlvNEFjf71wlzyq2h0U63BA3nvgLhnbpo65AA1H/WExDkTEty61ZVPHOjNgheQCMB7I8gpxXnYuNj/nHBY7djaFF/Y+UZC/xOznBg45oCb4B2Y3j92j2QQwBdPpOdOq5wf4KOPcrPbyv3fkTVfKTH1NHT4EYQtpwCkRZsFIxoDNYCjH4xSLpXo2ElTX7iXZnWp8+jluCFE83wfn47RAAScqOFFWKBBc7E1ww5AW2XmYBxIEyDlqGsg9RxcJDCwpvX7lAY5IpwsM6B7acNE+VgkTsklVkxPAzeg4yqXxFyvuR/GjjAyEfCJSW3qZvSaTBj0QjUY5QsX0vOmXCU7bdv9gqiuCzEV0Ai2vS9bBlQjNyCvnySb3ZrwmofuYOp4XEn7A+TFSyE2CIxL7aveTnmNVlskDQM3wgacgBZmJ15GzDWwIgPQAXpZOhJtBYPMVf9ugw3A4urTK00UTYTIpx3W6sMiK4HVpE5TqlvdHWztcjGlpR1pVdse7M+6j3IfAK1LXBj2ph0T8czDdEQco0Pjvd+WG/umv6/1LZoeUOgm4//QUdFIJQUGOLBuhcjdQx/aGQ+WS5HBUYlBoCORQduo78tlw7TypJzWUyC7wXD3tfc0edPLQ9yBjC6Z+abJNxSLDLkSxxYJe7Ky6siwIx1MzARweXsc51kE0TfyLHJKoqsNqZg/h/z5eiZjhBWpyPP+Ax6oqvEZeSo8hrlvjDMzkbMonNG9zDIzj9QXq/VTew3MRg5MR/4FJvwuJqabjzAsThGWbSgDXWC9DAGyyKPxx7W3WhsBNYZbC6D8LfznGXWCy3X1EukwCTjixSaF5/xyLHs5S85STs+5fIp+OWTi3nbuOgeEfiKENAJmssvfO5oQlb4tNGV3BkFYloAv9IbiQD48wodmOKV2ATTAbS2nHjmN442frIkJXxDxfZey9+MBWSkI+APW85IIEliOGJFgHPhXCKkAAHAfLPt2wJYmcSkmspdBb8kraqzhSXYuAfLPe7dF73tbCIky758kxwgpJk8sFGFkl+zEfE2+u+aCyq0oQD9CTROzgMtLHZGN0U7McmLVMJ+LtlqAW+HqXP/TkOysLbJ5Zs/eeDlogbYy8bC3B3kfGesp9KLEodlRz6c/iuvPKVox903zRqkxRU+pYfISLabko/19hOKYvojjglJGZvqML8eATmO9oflmXPF69ie4VDQJR1rW/b8yOSydW1RzoH417N7Iksb1wsAEERysnF4ZOo9yFe+vTK32B8HFWqsGfqonn7tkkBYbjVt0uSbyG31eNIGY5iB/nHJ+rhSx4Kue8wbyqxHpEvhM4ijOHjnbHl2/ZsVq3/FdxYnJBla/Dn73FOZ4X6EZHmqUyuFn6EzzxJaXrvodke1CFIX9nC2/FEGAEzu0k4mIdf+ytw1Ag30K3TtRnizCePcE7nN4ymBosjGPbdq3qmIc1iGd13xeO7xCRpYlzaXRziAiTEVlZ5F4+bhglOdz6Vcci2QMW4WLtcoubD3ulGkwLZu20+0KLqTQKhdSvPl9kC4NvWMvKK/HcwTZIHF0szRstsz5o9xrgbjG+MQ81V6XdaBPssnRfBV9az1lTmm2Mn2tIdXy7uiSQBuH5TUYs/sJoSLXH2H1HY/8SZVLuZio+2ukv0nNErP3ROBBuimlYw4xnpbErFv5UMTIP0oshrEMvMo5/ddduvrvnFMLLRyPBxqTmqOWeU6uPLsdVPuETBKMyvjrSKKfcuYLAsfgx4XpvDHopc+dYPbT7WYQ4XeHS/WK4dgWfey43VVFNJi9JEnJEmLdhZZ6mXcLXAqRkvv+PrWT91uXQp2IjTqXx+jBLe8f3uv0Ca8XYgjTrgYsgmWZ7UFR6ADeNgqIoyU93IGsMx7DNRJXTowsHo8s8eqJFh1td9KY8oGkpKmNH91SNuB7iS/nLgNTkvVRuZ2C1zKg0HDn40iGw/ieNR/h7rkefS1Cg/Tu5HjWegSMGLtKwYwf7nLIk5trML0AF0I/XFPmmcKY9fz3ghvdsCNU3yT/zETcJHREJp7OfVPWU3+KKgA4qupxgPyS4jGBtuDDwPwW7q+khyM30yCfWYH1fr9PJ1D98mtr6YxWB+6VbXE2YJ5/8Pu/TtCMhtix7zvr+tUUdJ9CTZ7P4uV+lI74P8H22jWe2HOhwAh2wuoTze7QEPcSIlJesvpbLaFwbm4NMadtzcimzvc92yq9qEsb67F1lch2PEfD7c8pq+3IaXLRVKJxAiyHd3Dtdiz49qbUNhx4wFsFIuT1CCPhX8Mp/8R43SYtMRNE3c5SkHW4ii31bEY3HSu48+TDU5hexWHgelfNDRazzEcBRe4txBQAb5/drkl+Yvaa6RYEqJu8bjjH5SieuRhVjmtw1/Sw1bDl3B5qA1zprCRVYCqOoBg6Ldsy/FD5RBVjm9vS2UBHOrvncBSs7HpVWHySdE31aNY1nPUxfxOGojsw/aPJeDCs5gri0ffFEtBS7L9lTwQAACL1Bnh5FFSwl//49Mzu31bn8Ra0oO1eiLKy9iHeyjRELvzuhHCRyIZFPh5ouAlKdVrL3wyi54suyBOXBsevWbF1hCZM+XRPp0y8MjZ1H2yCB6OnCtNCYo0VEAE/ScmoYP1G2dQk88JFHgfd2NqqvTwlvsmSgrJj3rBevRlAyMoJz0GLzwkJ2cZBAnxEJwXLG1NW4O+vHBtwCRmTaaEYul76zPVvSsISoZbYUOVsl0mMFmglKqVUuRckHfEWqFAHSJl2m4rgVX1yFDXtA3FJtW2kC/OLZMoiUrC1YXJfykrqDHwaplJwKs02xdr0aNdhJBYfToZT3xSfbF13mVY9jfzzcsWG90RiLcc35DH1d+nJN4ulTNeF6y1l0PfQPJI3CU9BIxp5VmJIVKOFUgWxF/eRGlNJLnsK0a8D1n69uNLJNSXRhMbvXzoF5No6UeOa2A9a834fgW/OfyTOnx0l//aXlueXevW9Skb3G+bUK70TrqbyOIZIyKALCPKp3Em6cHW7ClfGfOxvubGrf8V+1Wj5qLP+ttQRQTstb8L0GIU9k2EWx35a63WUVuTI26n7aJ+t01w83dqPH+cgp2BKJRTLwTByV16QayA8qp8op8V2YpHfgxd8M3Ty1/olM3fu23mw+taYZ7FRXE3S7Krt8dMJ/0BQdTdh457cmgsm4UayxtVkpaXitoERPLLX22SLrFEbslSEopVyvIIZ3ML1foBqNs59irFcEmTVaWcf+Str9l9ltukJBThvt56zHSuZKVJ2IIzTpc7zi5Ux02XSY5z0ypJb8GxePtt1xFzOIOclaE3NIDmuwvJ0MuwRbk/aPZwRAK9hb4ImE1oy8BfDMVD5WT2MCjr+aXippqY5VuESCOUuhbUzETB7KyArDMbOxzLL20voTmLRFChB2IjIM4jqfaWin6V1ktC/pI5tJY3j41L/kSWt9thRKhYPPNQ5SaAdmtQpIN04QFUuLIRB01Q+hhpP0mHVtOkSf2t+nJTtOIJrdFYvNutHatLaPUlRRjJs4SFTxfx4VnJf0TpjgVA4I6bn3MVqn+kIhYN855XW4PtwdeIA9KQLV/HQWXKOZLDsPE4yE22IkNq3SyY0sDvjxq2Qjjf2dJhr15qTH/UrPe5GMcmVkLd9gTm/4bRr1N0zzVUlOiZv+a6gPdDC0zj0sxvQFa6v8Vou3zT1bXQX8EERl6XPHqkKi0LSU58F99ja+yFQBn6pPj4OsXv69cVewfBSxd7aTtSTB1Ybtbz2DEwdIxaDD4ZnIk8EjK+UvC3MwHlcI1ZQyG8KuM5K+tYj447pUeXzKAMpmOLdhheVrKcvwDZXfpSBj6Jt6rMChVvV1hEvs29wmfmE14LGlMSwkeEx2mGYqWzdqH4yjNff9rmaIMwIa40tFlGSI85RKliVN2Ldd+lCT9L0ITLfWOVEX0tkq6zq1hS+NT8yfVe2ytZrb4QycIaU42RTl0GB1LYHybICtjLy3E4dGM9JWeSaqQLy585nkuHWzyTQaBQAZOq+ei27rQPoQ8ofWKFH+xyv5LZyEovBLICyIgUhz/4igXUxEc3GYv5bjvU2Ny97ALXCAD53bbRVbKDKfvV1M54PZ5D3LMJdc5NPmFSA+QznFfzj1CEXMV+iTJHLRKtZsL9/kPMnjK7QpjFXiHVGDtkt9vbdJ3Fi400SPiQYhCgMkgWwiQ2DjmaVQdVZnw05tiIjz+XC/Q1vQM7QOIRso7jXV+Q6OtYtUD5aUAoyHH+8ExcJwaY99aZTg2Ifszxt0ksJMtITL9rQiW+BlYAn9S9RmIZE2DTrpvjk5e8Dhl6uS65zccWYJJybXlWAJWxFpO20lAIsSK0wj2ykAFVr3slqnV+U9nQKtxioy/pbe2CYspjpTMpdYtT19mHE+jLHB5jzvFH6aEYtWr+wwbgdt7tKWQDAlePMB0TzRxtMOSeYRoJTqlUUPXHb01QBVlCckLHsr/qBRL54zvfZB4rLEbp/nCXUiZy9VM28CPxJ1EsLpnLJNFYEHvf9bXPXAzqQ14gnerAbRQ6avqC+o+AEo0marMp0KOGXZrSfzBALLphXbSTw2h3M9JWCIp6+G56oXQcusHIYwGMb5qgX8j3zQ6QYh5AP4JFdR5XNcrVvIMrB4aBc7AXvGK8Q/cZUchtm25LkMUlfkiK/i8swzk9p2nvpDVO32C6sWp8OBMT2kARr0qsujxEPM/ajJ8wqbJMIxIdxCJJQGGYYijDh4BPFcKj9cjA+8Qm6T11GLjmvo/lGyBNb4ZOV0gKGPNtIqXLvpGN56NAXz0BJm9vyo1PP/I0+sLRgcvc2i6VNZp1b/zxKp93dsbKQW3FW8Qidkqwi8rz3NNnJ/5IzDuIc3Ui84uo9+pS71I3dI0djpMzuB3uCLDmAEIXmlAazD4ETiQRRTHg23kwSBmTwVUVqCRMBBD9gNDAI2vxTJd8KF+KGTYjzEvP9GGroNmyBtqPRqC52Da7T9uI8OfqS7PVGTdbSAqKlUI4fg2PXIaIN7whqR5Y3NKqonqproNLovYVyDkAngtKOEhRYT3zsDR5KRLCPlo1r7srW+O1Th3BYx3ECCWXQDFxS+Ss8jEBQWNID2La8Sh4QFE9mT1qReB9L1h8AdfRxijgyL+Y/l12GsHMKaMiPY/OKNTu/M8o5a6Jhet/ATliBGLHsrU6b9AVTPnskowSJTNUq5XJMElogwK89voZjEV00qdbkaW8IGz8QQEb9q9zdcez6kaX04Wl79emSdGF47fU4KJ+barlzBK2s44wS66dFE6UeAbohtYxPY4d5farDjMzmtCp3KuT8um4hyYpfRpNHdErZLu5UPYdSSoeOiyjtWKTBtQSDrmAS+l9TpEesv8f7bcUwj5DWg5fYquZ3AmGaOHbK+Q+pj/+b7rAKaQFOzxsofMSuNVNugVWmuCHq5q1OnBI/vir247DchG2ZhGN61guDJCXNSBaOTdpnE3XDguQt0HpUAGStHSQAABQgBnj10Ql/90dKd4HB7gI9cIy/l8IuAP+fzVVQfpRdeBDFInF0vtDivC+IAujv0QHlxYZFSRcoh3En5cWPh+eUSR0NOFbg2/YqFmEq7ZqHdvrDSWIP7Zt9FrywXeB/tXb8/rVUTIxETtKoUbUlbi5AnbtYg+rYTLQkNUJeYFEpHMOzjmf5d1YAC9o3Qj/cDy+CZzNe94yrDDitKfomy7zJdr8rrFPQfI/pTxzUJfQ7tFvMAkV/0cdimorkjQi4SjCSzQpXbkWaUUVwFRkvyyqNWrTUod05X61PPoqo2hTNFfCoD5UyhFHj0xIEdCgJhWM8Q175QR3oO5dZ+NDurUNNDk7BkuVdUKakOssWHZT4yOmtlKBE303fhZqpuub2Jt9Mke/hx2xF0v74pZH6+QvWvllwVH/Z4M9JMA9cm9WkncfZfdAJebh2fMljuWrPirQV//OP0qFYPo+EPlVOoffzJYCpf8OlUBDH8PxwnmVHQeW+LEK07fSpYXDesrrwZBU8p0rfJA3922wLQxxLNR0mYkSl50gq1+ZbngrxM0cxI1zirADVYHgrWJYVBDjZQmH8oEh1ttkyIbr4A+SbzEuEjqTZMZadtqkCrrvrCSkwGXZfb5HUqUnr3TlByCKw5/WFIc5GUMGCbiyj9/NZ+nunXZi8EkPSapU2t1ZIwZ5JVnaBDQ4oM8ARxrKgfMdh/DhucTQPhVb75X+Q2QY6VLYyGMHv89CxGFCzPUss2EJy5j7gR0gkjcPphHppRczC87fOa/xoRK+CNkxyxAjVoM5KGHC7SyOByW5eEpF6R6QHWs5i6zTSilnManm+YRnaXZ8GtBOZtHHLPVtLDnd3sKqi7S9m+2LomZxiCOsJ4MkVX16RrIpv0Yyu8+MyObD5MJoIgmbjVyIKA5Z7ZtZXOMGFd46D6OwdRY/C1YIlPmY2QQxBBKCQqXmoOZVHmvcOkGkYccvJTOwEbzXFDI44Wm2ciXM6a28T/9yTlIXUCOhTJAh83OSpEQQfn7Uf9msN7PsL3F7hiNl3Kkh40Ya1IGfhf+6zceUY+47MUyHbn/M3BdbrE8fPjbZ4t0WwNXCChgeqIUSSeX/k9v+h2u2go6GZSGuIQHm4UnXfEWSxkTG3VOXYq0xKPPQZfHyzQtwSUCb9oY3N/Xs+oI+V2XJtKXz2KRi2TAgckvEkAccFHWWwrGuTb+fPZxlhpaGkHpQl33eC0GSX4bIOCVAZHdO69+0DaM+A1JzWWSgXomuL+YQV41IM6BuRW0mCO1xztlVVLGbN/yaE8qvpLxp3IKhcsZY957NjsiT4dA5MMqye5CEuGmRstF+PHu7Rapq6jZh9+sT4q0hQ3VZIVINpX9z3tXEzj1tumUjwqfa+QzDDinJMfr9pBK2x9fAKwfRJwR2psAp17hxhkymJKLwpEFWNjQzx33b2uVt7cq9WVuj+S4wCfea4OGfkOTa6XcCvNGGbhcbg5gzs7i4YbFRi9RQ3zk03cAlVCn19L3QeN8xIwhYPGjBPEm5iG4N+Z9qZbJtH2LL7MSsI7AnVPOBW7VLDxV4VuF8Mxxap5Ud7Jqtme/F+iK+35yV4lGP8CllJw3S5xqfCjdLM2sjCvKzhS+LiYDzQDr3IeXPZ2OBsBvPmXP1q9Vj5E5a6Nssfj8per/0kokx+Q0tnsXvVLBl4oQfMo+haPMKZZoznGNpb/yFWDgjv7GgBvgA8D5oDAAAAGyQGeP2pCX/3T66S3anz+faQaV5jqViQ+vk5n9/XUQlJwQVaLZqmFCh/vylq1vG49wgQX5gO8zmfX4kwaNDlWEz9h7jq1j1KumT2quF18nbJKGpDZZW30MOu6YotXUeNKYMNrI7NUNL+aGlkSYGEe7VoFpZcPyc6zEMUPz2oxz0dJ/3ArHXqPnrOvHkpVOSVe0s9mKM5zVeBXlIZEyo9kAelJgp8SoUeK2EWzaED8sT8bYHSlO7NeuJxCQqcuD6UGp1kdHfkoTec/bf+fAjoy0WwYKu10Uka3+6Lek1ZxV9LZU3V0LJ1w8mgRQG2t7sV33PpT7qIVCLOKhDsBxsKXmBbM1QryGLFtYHgFhsL4hlYG0LGTi2FmFHtUtoX6tac46kSw3B/ykN5DZlVdxaiSkC5Rv1C+FmBfAZy3c1CPjyqieoBRbs1t5Fw4D0JKsA1CFUdqH2prr6mYVWZ/QkifWFnRQ7mq6bZZZHKdTzL9vg4s1hM24XBPMYLNGcOmBLkVNyTlUyzOaRVsa41NAVwl6oZrrvmb/TDqFPtfJiTKbeajFrbfd9Qd36UyCXui9LTimxOyTRHqO871RSC2/n7s2dgbHuMewDgWqi6Qxlq6uZvbk6dasoBhOM3XDZfEVNXwp5UDVWvPKoaEqxSsI4/LtjGS8W0ToXWko3Rq71OfOE46tvGkltFiFxOEPuvO/V4OQMg9rg0yhkLe5EiPBnThlL/06v8ujP21Lng+CunXh/VaQefon/akNfUjtfU+ju3E7Kz3BX83OrHhRTn8vo9x1FZd2yfTZ44hrRJyGi8GW++3GiSk9l4ax+WYhs45s6luo9bQIeh/JNdxMF8vGLIz8/yJml9VCMYVuiM3n6iLRhHip27oU4B34VqnTa96sci1E24oWjm7a8XuROawStCySH4Z7btsLNFAQ3D1oJSEU4vM88k9m5EtZHRSvWUornunJKmcEEYJlgrukvxuqw6EJqzK5S4e6XHeV9PwQGAAYt3MJG/nn7LI5KoqGqI4hRaX1C/kWY5mHH3AXu6wTGS0EB678L/8dWCNMCVpdeFfseNuui0Mv2E/WGS8/t4MWdwa62dNXIgpTq4+mNxrOVTbTA3czuKGSQcKbVQKQxzcpfbXS0qweVoQ2v6gEEOT8Gjx24HboFUZEG7KnAjzNhajyVwTUWIesZ8uU1I77dB2hkF334Gd7FOX/1TIxNmrhtFaieFBFiIMhzSaCbqCICKeXa4PQhFNzRMJtt6lylbSde4mSUFUaLEIscSDehSERFtkkOap70pzJ3mp6Z5/Kk93VhmBQAhxii5WesIDSUm0MZwilK5XIgrgk3BnR4l678iGhQfgZXfxw1R94Zz1izyLjyy/iRQGnHqTpmk2stN4+67RgqDjaY1uZQGdFlLSP4c2NNSufpZDPEQu3ma6izwooZX47ypYJoXXjIMVXUo2Ea4S9B766w0nzzPjma+sAMyN8c/uzjWXtI5RZBUNAXumeJA8K1Qvjbk3RsfESIup46yQzkv55TDb7hCQEZ6MegdlVQu3sLmODXlm9gKFJ8vTeB2j2wMvykZHkWpmamXdbKLtniqr+EECTe8XBrsb/6oLowVV7A1hvpM3nHbzSXN6qbuHMu+z0dBKKoERMCNgThvNpjUL6gNYZdP8aZ+2QT0faSzQ8WXv7VyVFs3i15KTWwxCnG4Ew5AfbF/QgYe7d01V1wEIjU8dpKQJ36gghs4IHF+/oFfFYrAiBt1/pQWtzVh1vjVbhXAWdA4Xnemns1VEZfa+myq5bBbMDSdAxczhabKg6Ag3IRl49Eg2PRrhYeRhMCZIDOJMPPTb28KYDTzo83IuGcO8BEDitvVC82bjSwMt5PUE/ams2n3Gi6osTp4MPmkuy59ZoxR0jdvQtr73hhMOkKo1jgz/nSD+bF1Yi6m2SQ/sgNqsN/Ytgb8XHIdS9eoCZfGC9rOVtG9khtewJ5bWCuPcSBsc6raxscc5/+eR3U5ATA+klJzaSEFvYzNcw3UYtAB1NPoCW/qXYDzS++p5KnLz5umUW6gfDk0Wrun0km2GB2y7NZfBUyP5MnDPWp1e8YHis7Qp3bG33y7JBcWX1esJt7tU5YfKMLA+JK9MjX3ggXYg+FDV9wKT+SR5W9Cx/poFkakuLOw8Y3E+/4GAgrUGSCbc/EKiRiqKBdMptyQuCkYcbyzny6zEZ3xzd+svVtnsRaYNqkqPd9TrC1JeN2Gup0X2q6xEB30daaxlrKWs06zQ0bfD3aMM8VIFAT63XdqyAycmri7Hqml5aN1Fh531b0D61nDy6ieTIkBaLZC3pBh9LwAABVdBmiRJqEFsmUwIQ//2IewKpkNJyJ+LjlGDHrfi4HhNCZ0wUVKvbltW1IkIl/klGOnHoXhzkwRCZHFFd0PAEIW35imWIdAQAN5mAKByCGpK0DL1lbxupn8FnYP1i+cqYlIf6umxIvLt/Kid0dFCmPvQX2YIQDujiTv8+eG8fLFqvN2LSRJzDyk+wXCdIIgxufEdHjTTwbjMu3fuuoGfsg8GAX4oc6E60IoUFOAgQ08x6QGnNbBYI1Fy9+5u8gpidAw7ZrrPgwUnvWODAnC846UciuCiAzsSYzDFe5PKFDtnBlbZvJPrtB80nYkxNuCovM+yAk866JO1X3bHbamMRw3uDnx5mAlMUHEg9RSALlqKMnBbMkizDl0qa/GP3mx1NDGb1gtGjHFaKWV1c8qQwmOLqlBxMVIo6cO8yNR19kxxRVMhBSxzUTTrKI5lhZzWaLT37MGfED1GWSRqnNJUdPIuXh/L07Y3NFY/3U2BmmMusA2iQq+HKYavw27VrZrlUXLNk6f6qmdiawOghI9IwKOpQ889b5pYJ1O2zUvmXeMDfm3ShS8l+rLFDcsTex9fcmMDz/5dVSz5sOnLWEL2QGPSjxTk5mByRv4Y6aaEJbS+00b2r6s4jQsY2IB4WAcu5BoN/57N9J1bHh+xzObLH/BGSDqfjsPpM6vHh9IiuEc1Y0uz3YpPNa6q1aTn2NayXlZHtgGguCzJ/1tO5B3iUigeCaDpLDo1mwCRDi1128a6N/GrppKoyUv6JqtfpaNzj66zIpw33+143KVRxBmbsP8A9dcyAtoqJdNzthoM3Ze2yucn2eCrOcNZamXUGLDx4MMouTFm5H+H0pHXNPT/ruDd2eBrXQzQPfiqG7Tzpr353DT0CxbI2ECwZv0jqlukDEWMbOf+LzawDhq5CGJBa0VkQJn3qiTtIaOKgGPw2rQUE7M0g8GXD0WpAd/P/HZSR/ShJ7seaogD/osUYl9kZW7hpUz5I131pwOMc75cuEFESbDdoV0Z3SplvFHc7aT055ygln9iqgwmddZ+qDBF/6wZ/OEslflIVgOa0oFyiFyAn55AUHVcrQCtzvN7lFFiDJZ6k4VNfYaspUDq+Slk3UkJHCkj3Op+mdjCZAl2De6UwkIPfq2vxabLpuphYvvZLuPq7V0YQtoYvYpU1zwpPoSWoHnRAlwTpcv3SN0v+rvfWwPrLyVoi8M2l5d9uQPAuezPaki3b0Mj7PzLxAphqvRiG1YfKAx8cc12WiaM+izv7APjXOTBwM73Uk3CDaoIGfNbOzZ+uOaMlY+BohE32/B9GGxNrB1xObXP4c1G6Tb+MMGdcqubVsXU4zAkKoFlURGxOTUZC8Dvn0oQTni48IK/0FQB7ngZYPbBJ+DTtWem/5Rp8astShjfkmJr8QV84cnZfT7GMdT83REBgxtS03H+LPuTEHhAlYM8OIs29HdCPnRYOeyKR6E9NFjPxlNU5M5rPsjoTrB4OfldYD17jdOioc/XIDy4xPY9xY3pdkpuYyRQZlh9Uti0IqV4sCQTwyEtiYPzRP4u/UaRRPV7F2eXuWR15zns9lGvvmScsw+nSov7ntIcLntz+/X6e9lyAbX09vbZTExH7eDP7ZkAe4rXZhRNqmwYPk/DDYg5O/McP+WgHQwyZAhBB/uMg2mcMj0qWu4VNSEdugoHQjmpkdeNI48+27CqdUyeR2PYG+qD/yEDjj3F1um1NaYggJEtHsTV6D72VxOhabYrdUf2rA/v8yaFIykDO490wP7ry1yngNiXpe7/CzOxbdL9plPtBBfUsQWP/8aw22o10mkn9bfJTit+mManMAAABhZBnkJFFSwl//xzlI0BsIUou0Wdzjdmsb0XBc7/UT62A2VZ+7/b/EizcV79KfO2p7DiOIBFJAyIQPJk9WeeJKSTapNw4DVcvOKpxgv7iophW8duWJWMa/a4lg+Hl6B2t7dKMtjVp0s/DfiP0/3H6+inrCBXHe3D/oQjXuv+Fov/Zc0VLxJb3+Lb4dlE7RlfdjK5vReljCAncbQMJycXtLW5HevLyzNeEikfUFfMWFxrlXMBf7Er9Z4joIkILS7/iP+AHwJX74lT3Xh++UQbFcP0ZWTHmk3dRGC5jouZ5YTXhTaZwom6XRs0kuOXd+7hsKjtaJ++9bcv1TI5xutNFuZjaKtEaDHvbJh4SJ6I17F+ZDFdsolc4S+hjflcjZJuVpn53c0X4cPFSe70ZhBzVecFZawz6D8xPN5H9KzDASj2fqpL0lAkbYcATby0IRwu/THICpQKiCBKGoNuIH8bjgC+BnguxyIxXsLMxGA5Wnk7ivufXEPnsZf78lDmRE+LzEKFfxft3H7bv4nCeD7wVvLhqTKKs8Zbrz0LALRAItBurUt1CK0NblntknqKF6oljxMrDVDYGmoUBpOgX6AjCAW6DnaPIBeEIx0c4AXjgm2U3OeMJ1a3w7/FALHoM3e5OV2atplHePIGNRoiaP7MXAMzInC8Cuc+NZx/O4vS14U9k8TqAvlEP27NSGTDHttQhlzC78+7BPj8quA7tbewkN1OCuXFoyvJ+yte0Ot10VpjcE0Hk+mFwAHAKmX67WxQ6I7B1kcOQS7otgDIZ6aSkn/eqJV8ug77Pflfkl3kgFicsWuTq7K8pOZoLN1yGSQQiTEsQ/bVxxDlfgPDPKA9nznZVwn/BQV7k12oUchdfQREEGHHGsbWxlahzr4WlhviN8uoTH786s8WI2MMNDGdrM4P1zuQkNfNdOIWryfkrwKqAWNwsa1EWNVJAPJh2KKVepqR1EIhdBcuEFI7ITEFx4/E/w5GdI8sdYBuyV+Sr/tBKF+JIsqH2jX5GNMYmKnkwaKEOVG+2RitLxXXZtqhwNnt5wDSfc4sSiTlTE9hoJAlEyXhmoZjXbf7Y274ktVaZSiHH5tNmiog8L6R4cZjhJMYNAFHhlON2th0ewW6I7ClbLQu2m4jPAj26HmtrYMP7Q2nr0sp7TgsqCoA9XLXxvR+LuzFdEYoA59HrJNTOhuDDK1Z4i1WfUrXQHFu2Sc7wJzfRwP8DbedMssayvJFfWb1ou3L8rEaof4TuiuE1eZhQKORYDp2FQSZh/v25MusWgPhkXBqOhJ5FvEPDJzV2L6rR8Qrrn5RdtCuYFyzaKWJQ1+ZfOHBMJ8CrqAUhqKKGl7ajOJRKWOUyhuNzqQScvm8f8ziLzf5NroVC09Eof5EZIS02Opu+CzpHHflDT+v6ATlXS+OIWb+ibIEZBraJvI0xsKD5nn7Csu1aEVs9JrfVhHQ4PquZRmAOAfENrH/84u5b7+s6zIMt84XfXKnpDWvP/aKTIhvSawU5HtCfFwQM3zKCFVrPxMRfPCfpBDRWHaV0kTEmAvIjEDVgsQc6iaQ4MTm8wsq30pwIhELyaEkpem5tbAmFwLTjQ26UKxQmzMTq/h1EBF2QKtmuE0T+cIP2eVlgug6u6H80WQGk9cfQ8uzANwK6naH2gCLeSU48H4ZeB2CsPkI0jwnTSk4b1SWdPIHhLmfKs0BMrQmIuh6wrfVNTMrhOEvUcghUdGv3MPtB/6MIqTnCSIluNCKFkNoFAOfwuzLYZHobnSdKJqzcbA3PhfGYKbDk7FMLGdT6jlNbfBEI0t8JT9+Zku230ZKIRyCdIW3PUxVuiWc5c+jktF+ik/uKUTscjnIVg4hLDV7Rxo/ZXPI2rnYWGts+wWfzQ36dUI5YIvWHJsZMUGEmNBWIWqixcbKQnOEefyoDKtNX8cSFKHrts8HQkiKK4SRgwmM2t2HyJnz5Ar5Cb/82j1y079a3EsVzlba1f86xxojoAApBllXO5QhBFcPbC+4Ps3wsSyvRTDR8x5+ak6/dgax8XzGu4DISTNAJuuQl3vzJCzjL1BwmurfcsiUCQ6XSYZJVViBAAAFGAGeYXRCX/OGp/qRB801UZtTLBWOhjHyzZRO2fRoGVkY2QHpXQ1W4GFhKlwtgNRnAC3P4HzKzUvwi0jMU4QeAsYkBSe3P19SVkUZlocjdJPWZg6rRaYTO2vEKuNa9Hif7hxh8u/QToxo82YX6ni35yXlIntBpRxmp6vO5nyCJrXTKRHFSWBAyetKp2JMH3j0PWA3r/IlISXUtcypi4mBRQpk2Zl7KluQsSnBjngaaECaciVIYwN1wKNfaPsGG3yuRU+SUIlInUN2T6957Js4IfjROgv7jeRB0ehcz99++e+beOYJDfP/NDuk38VAvS5OKVXS7i8Be97OjkLte8ZWpeXrIu9rk6dC9lE0bDmPtHss7FUjq8YhI9ejCigbVOkPcrT0IeAGgL70Gn/IJrp8xSQ87bQAZOcehhcb7sTqtGsJqgXVVgoybaXXHsUno9aeSg3XNzNqs+QgXJxzUchzCgt1lhIYaq/mcNHW/3B5rnksNY4mqSmJDJE+PhhBWV3TYADeh3vLpiKGwYeL6l1s3vUgz0jAeCWulvVDXXZhygK6EnVAFh3qDl6EA4aJFJuaTVTDPMxEuYASyZZ+ooBBUZJGljaephmHtBsUVXMn3pTKPfREGgE4a5+qkQ7hGdvTWtGur/7wVesz9FhDdWMSMJnPPCj4Ul3Zx36fQ/WnZajLleZRbE6Rt+JQ/FMRjSEELqEG9IujU/Bh8nJTLRkbqrx2DOytm3EyM3S06dilXvFFphS49X3cODd+kf3LY5309KvNLTed8Oy0tDDocdFMf6ZPGku1lKOmx5/Gs+1d6tmnhubDxrKg1PzmIovGhQXG9pkzQw1MQ9UPwnFRKkaFBi+//xD0XCcvAwoLJYeWIDPqRy9ThGZCMdaImMEJZkzaMEB7qYdWcAI+HsYjK2WenrRPrPYrK7+eeqDP+PRp0eMgWw6bCZATirvCw/jGMaG0frjhwoHuSucohDrAEOAe5WU7VQTuoJl8SUyoDE7faRJ+vHZNotqVRRRMXfi1XpRrus8QQQUMG9F5X2dxOGXQZZ92rUpAo07TQ/XLqfGi2RKGAepSxi2GK3HQWQLnPGSvgmgVlzca7RcSR149rjeICIAWnBp3dury7/Hp27mszzhaJgFDpely+ZF7QuRdM3iJGYKVPzf9iq0cCKDLzuA3dl5rD7Hq4hStOl0FafknSoXvkz7SDeq1HWLCduu9gGueY4+5AHYxwunF+jrXQvqncQjXIY82WTbIjSxTLcbIcXmKbObW/REHYITA5Y18AYCxKA24g2a4fZ4IuE3H3SCcWLG5onfKvDoOODzGzZlEo+4KrZ9YiduDZ5n/PFpQEYZpHqLe8yxGh9xkcdxWH3dmIurMMM72npbpxOG9Acimh1mSJ7G2R3CvFksaof8V7GhYpCH2hlesYCZdhKWsk4xTLFDJ42DWoa1D/R3XRy1ict35/Lb5mbtcSTbtQuFKR5myzyfFEPLa900iqbs14zQTh5PKzT4zacDCdpqJalsRCzzqMy5x00s3LFScoREHw2Kbx/PXmb9JTgzY8/FlI5mWUfp7STKbfbFLp0A8Xj8WOVOQPqHNf5ndGS27kR2WZat2/3aVP/TwjRZT+zuQicg8Xjo6KqHzbaS9WAoZQ9syilv6xNVtGfcORWlEOD9vv+5NNaF/fbUbheyviN+DlkenIWFPfgtYiuqe/98safTff4UcHFnhehw0HfuSRpJgynLAltiOgIRLteZAAAACnQGeY2pCX+25/fySRxWZJUcen7xYkRohAaeLF7zLvpllWxoXY0hEDDN5/caie4Dso+NZD0WhWcMZ8B/WyyybJYkLg5bln0fYWE2gobw3rvSYZt7aoYFvRJy4fLjLSSuDaFe+0qGr48WpOHzqSsU41ZevK7cZJ1zpgHMWw0lhlgUEgDEN76+IaXRxFY/4a6bNNGDtdsQHXnbHkhNNzyUWICbNGkPzRL88Mm6bRQ4B/TT3uimsqNiQ+5oKZEUKmIx32dV/+KRpKxOqq7/bQC1aD3rdwAC3i1AynAgvz5izpBySurqBOwr3HiCEY5omUh+XyIoeK3Scjjto4Q4dYfhfiMRYMv/xkBzFoNlIQqlyMc9YTJOqx6yPLkpV7u50RwprIJBM9ucLWCc8Y/9yBBeDgnNJXwdoOkJr6HrtAqqnTbfP1lL5zkpXBbeyLtQfgWnGkRYnm8apWA3q2XgM76aiUmw9chlDoZKNusq7vQ3QE2rLaz/jbAkCgqrzDkatf2QDR88VefunDrRkG2hWWfB7lPWGFPa9WKi7T8gUj9aA1Cm00TV6iTHlaOLoWD0wbnjlr914XrESXgKq8+sKUHHllb7DqpQitluu76FJTGgFBSXfh6sX+6+JbZv556jLy5pzTD6JNC/J59Zlp9rUuybwV2ZwYdHP+SuX3Va4xx0IAZaBcBZtbAJoS8W1DOQvf9fF0AkAxoTbaNT+YN0gx988PS3Gb8735BnVbLrHz5D54xYVoTJdSeL5VqticdQ69Pbm2wJUoGIFTzR4A6QWKtlpyf0dV//SuQjCAfLijPDT/NFq2rEn8TLmVc053R5THctJtsn5+8xrajYMOdcjPOrq4FL/Hfoanb/fOgE5BXTf3agUzBEfAOIj31Xyt7tl4QAAC4VBmmhJqEFsmUwIS//8xKSW2t/cwtjnSGcY0ymknTl3J2PYX/largAAMQ0xASCUoiHeJ6pgEUAACh48CN0uUb5/8WabrIfofKDEYOXxCHtuO9JPyhR7iU6WDk9Tzce19qXzpNOwD+gT+GC+GUQSjPG1VIWPwH31EB9enAKIqZ8NrQBK6yy5V/mRw0iIZQx0963JHfVbAqwK/avRPa8gvOv9MDok8gA+cB8j+7MQD6ZsMA4maX6nuxarMCKUSgMyyJLO84LAeVjHgrlj5ZpS15zxsa0mVqp5pDOjLoF2d2ZI2Dmngnacfw3cARU6P6CLD6uiV9f8v7X8NtlzXzXDctuhDIuQJOmVRRBZqxHkjaee5TimTXZwen4iK9QMKOgoOCmURUpBWQdRfGhaN2JSJvWNlRGJyrmbYxWpqPrn0Dkyp8bhq7OxqsJCKzKtqcmeLb1tmkOatHxVkjw9OLtVy+KbKblRCy3ku+NyHBnqYeanmb20ubSU78Ols+1FgSb9Ef6d3ZQ7oVBUVJ7M4WlGhPLdnjimeCRvZSK3AyHwlTrFTTAmH5tOSHBq9nsYmgryhP+pc9tnTuDEXgvDA3S9KCGzzxglhZAiat8FgY+S0qjTRfuOmiaTb1LW27vOSAu3F7fWJ1rKAg18w9rHVs+obVkdpHUqecQEVLUjHYouvuNjVALOIpubnyq8FTzbzv1gGbaYcyEGawjI6/WDv6iIQrsNiTEcKHpMvH70iddbQxGwSp6bBnw4Y+8ZNvSw37O7eBHYzVe8k4iAEyqQrbcUt6t72EmcKxdy1szNVpYwzH1ChIggltiu4/SL7m/v4tgsS1ko0qhFDy204n5ryP1a5YUtmnSlm8736SmymTvsi9RBNoegQLCnAFyU7wS7OLvXw1gHZLIys5qUIpqnw1iBbByRrjXBUWTcuk9FM5TRk0F0keUU778MDxkOmNZd1e2cO74xx/N5PogA/UTODIOvKwcSJRhfKrwa47D9K5SdIp5WW0DL/84D82JPy/i8fOjp0KfEHqKXqCXgJyhBETU40IfliOV90V4UTz6j3G2EZ4pxzb2diCQGn0WZIJHH2n/mZMiunm0rHI395r5yR4E/lb1e7xvZYdKFA9LRqBOLBYSZNApw6lE4HbH2jqxWT/Sno40KbJTxMnoF/zuoRC8QsOIXPkGgZb9y77RHY9JJjmIMSM3L/Z54p6E0vopasXSzHb/Wqqrpk5YdfNGuNEFSvTpv/Gg0xIjM8v9DnjLMQmppBXOiS0BwpuSIECfYWJ5/bzCFgS40vFI1qYBPMrHpP1xhxsoqAWJw9Q2LiEZ1Z1IQ0ldKPEG/oZyfkl4msiUKebcJ6kWNSrtDhrILr88pJuh13muNpLDuDaJdamkMr0df+YMpUmNP/FcO8FvUFE4rWp8nAU3We/2VNSA7tD2qw6piKiYQGjh0UE3fVTVjYyAohWkVgPlh5cz5mD9nTxFEGXfEeT+oeS5t8+M17EHMZwc1ew0o6RdMdn2U7y9RjaWufunJcrt5qymWb9F4DH9vs2nj9yZK2GDmCMTszZcQHzXWT/qibquelQozFjVM1s6rulOA0hWz64ggwV/xfD5rS4m/5frTZm40mf5brPXcLlHEcE8kP3SZr8V+3iX0J2UhITzwsaIpSPkR14QrDYcf0TCEunE53xJJmtftbV0T/kKYAx4dCckaG/yr4lRHpkjpHhpI4qVzBo66jFcrzEim0oKNZ2Sv9yvr2ugHtF1mehL35C2RiC+J8mUgjekGiZyZbpFHW2EsCNo9EPjKze2o5TYPVhhPbIL5rKb2WBfRqQSJ4gefRNoeX/Aw4Ju84tsYXWDWjxFgkLbo/3uAagPjwXQmpUkRFYfHENm6AF9/TxYVA4PEklP7Zb5PwWNFQXFFnAPMO6RAeMJhjBJackoc+NVzNkhohqlE0WXfU5uDvmaywdfJj0Gyt66gdiASQYH6+7DMIFokL6gqIZ7u4CYhAC83vcEP3b1UKowHxRDEQuR/BLREvTsEQw5VcK8q64yTH0Nn9njR+pN/2QJm33oiyW3UFajVq+8ocDB6fH9yitFevNU+tIiI7MYUGGfwzwcA2z1/gwNg8fOiWQUyR+gQCIZVYfMtr2XXkYNoRNGSsU74AzB6qZFLGER+WrRHMordKp3IfcIUjEyXQIqgXcp2FSQhLzJqHTyT9OCWUAD5lIhq86P7eb8JD/tsQo61bnXxsHRcnLPJkDEnvATSWp2QByxApVhIWcOcFOeZQLRKhnrdL18T7meaNqlPsleXXdKd5NCN28yqmcNkP1gFpKJQ770YViX+mzIRnARJ9k5eYwVQIk3/3VU8W8OxWZD/i7lK24c8zCK9RU855BMMYv/6ZMb9eqrXyn+x4T4VaDyY5JWFYruMEnckgO9kgDptV9v6kW11tQKjjdSBvCn8IKhH16VHm+sCLJCe6eHPpa9a5x0AoZNawll/IsNgKRRYJWEWZK4YV0rPOHAIgWEVpQhysKK4nI5hywYc0IxJeYk2A0Ur/t4KcS4m6xzjfULdH/SxPYkdtnmczxO+5FM9nxHtf9RQmrZDzS/KunKTgXGdfzPDILOM1Lo8AUMV5B8bjQCFl6eOHU9W2FvaQMyqZv12sk1WQPqHs5bV8tDivFNAC+uP90epuDe1jnnvTu0plffeLFj+lHP2m7mmK1il9ZgBqXXJvKd8pYrU9v4vCybpBOChH6CaQvifl3K75hLncYNDMPoXscWHVPIa68MhKQpOmPsT+Uty9Tp5FRbLVC2mtNCs4D5KUbaAt6Vpq5NP/40VzmP+r1CKEEhmcDljNgmC8mS4akHdlzroLBs6WPiZ6sMNIJa0bdlVy0TO1ygyDI+Nd3G0ks4COS8i6Y8dRrqydqWgkJkbGgXH0FniNb7GzubM/DP38mpzsR/5e4p02OB/53vCtiQW6j71bEVs3V1T9OopKg0K+Q7NEA+DOxInuSTeZLvAN1sj1Yy5RD5ad5PLZ3Omq70YC/JHOOC03wuGUaBuFN0zCxYTk6VtLWUYzVwZYA7SwJiUAw2DfzJXPPGykJupkNaztq9pJUaODRxXQtDuE/5GQuBkdt7yzsIccAt8g9feicR7sTtAZHQsL1W0Pg9GWfEJmfBWGpNs6ke6jYWisZ9rG0NBCYVn/mXAqPW5XM4agBZKU+dhYjAfTbdhLs6W7e6lrbG6zgRwhdKgDnGFhaTjLg3RELj8DZaMlT5HoXA1R0CUYwdaNWX6BhuphU+FoUu6CbNe996BjCB2MN7XtGHoPo7FZkceVU+pUuLtamLD7uT9Zrs1P70jSE+hobTZNMjm3CKv8wEI6CQsKFiTm3wJNB7oWZawLHs5esPKdBktgz9Q0PSN3bSsGZBxMdCYw0McFotu6S46bWQXoqOovEo7G8Od77qz1NupMTY8jRNcmnN/SZ5XX0hqV3QzU1KA7ZHfLS6d7HWpir6jx35jNbApxNnRU7U/Vmsvfqvx3bWV3R/itTTLY7V0ZBFfORulzfX8hMUHH1IpzTbiBBKIFfGYwfB9DuzqqOi8GaougDh/04BR42QZgvl6FdV7nlTD8KmKLo/drKyqG22GT1n1qMcrLNbIfAnof1KO+9zllSKb5hOY7khJKtI6uSHbSvRkTOBGjql0v3rIVbu52TKVWZZPv4oJ82Iw0dOZh+3khbIBNk5fSYkWzTRvSznlOSMuqHRMYGcxjaTcGD2wbFEzsnc5xBOyh29bTWU1/1GDfOxvpDRE12LP2cismg0pWEPTdeSgrBuO4gbCU0pHqc2TyrKLozoWCeZMj/FMZmapMlm4Pu4iHjkfytxPVRb/FiVLSbC2ZJvi0/bZqS+GMUityxcKM3AiINs+jnogeFVBDmjf0rL86WrSYOt4gdVgknPxh/8lXwYTk3jPBRlsu1Rr1HXLA3BRoPyR8Igt/0LM2I05sRUAAAdeQZ6GRRUsJf/8urGX/IElt2aInc789iG0ebqdt3CU3ZgocCC6dD3iAl/bIi4KopmdzdaAc3vMJQHpmGrwF8UJxYQ2ggdt3A3pDSNilFbyR6zUst4gP4dAu0IeQlcvcos2iLolQKsRSP1wPqbUTRvXFNVrNLErK9UIiAMy0BDlS1w8TODKHYHn35KPTFxQsgSpzLkbwOOjGzpiHidLMAE0mvXbN6eLItHHO3qY35C9yNEat6Bfg9e6J9WAgJw4FReXvm6TvPBCDRWDQJT7sjSi1wAE1z0G14/P7H8txQ7bbddCoGUB76s2NA1YsEw27p7LBMqkaDoKkEoQhDsmWDdmv64SXKEvQOfrSrY/Z4Gd2Q5QdSaj1TE6QlPQkJ2l10MdNmYOfGyzZQPYahOTJI0+VbS1mKn4TVDLCdjAlRofUDIcbqri3UJBNJn3CH3STo9fzihxysfglNsbIl9SHruJEvY0Et0QnmfIkh/YnMWYBn84paLW2v25pLkWqC09PbFF/vxTvMnlyXJMVXq1q8YoYFLPxqNeHUyHbbA/NVZ8BL0GU4AHyCP8aXCN5Z7ecT57lhhba/ogC7qx1qO4HZ9cCMIDGqROf9O0NWjBU+bQVIaCSkRBU+tWkapECjfTE82kgL0mcCYZSfHLTRqV4iFRq6bKZfYpLnEaKrNFttbMt40I5xB3GuQ6SHQvHQj03u0eXN6owAf3Cj+dUxjKYxHxZMrTrfCu78HZzyz1TbarImICPJmfWxxKpBq/PTLLnoUi5SkoQiF0E8PM42HXDVBzs7pv3qCEQvtvCx/7K/vZh3V3pFHSJqiJEuNhzKnC3WhUwU2jSJpD0QTpNqbfORj52WBne7qc5bM9Ey6IdGhv+wGNP31wQi/52BPR3zPWSF1F/6Wi7cmRBvWQB47/5rfZeSW3saEuSwLdtCOEyPx8uC1piXM8zYZJbJJ77N348FBkQVwI8IkMOhQyvgdd1FT0MS519mNCZVCSSZlFgtr2OaLtoTwYttBcK78c4v3xKglmFhCYkCPIjldU1yaB1wFYblrn87MpUBrHKJ4e6bPpFJRU/1/TDUSYO+hE//xAlfhSuZB63nDFEc9Di/7AV+dxZUi+ww6378AMdd92gxnmt81PNRUxg/B84hjrFee1Kh0tIK++UA+s5UYPPXO9ueFmYHVi1/PKzDivblPKQ482TN/vcTstauLHjMDmGPOMZPYR9Y9SyklXLUcknkkAErS3ui88B9hlr/xrJ0dwPWYqFgoGAwn1i8w0Zp8Cv1JKMSPiMKtFyGhCRBONh+Zvvj/Q3N9zM/dmAhWupYKjoTEZvWfHjblDwMxSlF/8AjfQawsULIJed2RMpOuMvW6amJaIXrygGioF2wKRH7BVovb2Rg2EOykoouCNRLq23PLtN5mSAhHbSGQ7piq+StKThz0xugQ2bn7CkLUWo7U7hoqFBdUgzbmn8+h1PRN1q/t5cWKzONHu0C7+sD7hzIN+WYq6Met7pczoBa5gmUddDnidYTngUQZsqXloBq8X/NcEav+hUREvsEulMgc75jB7d6qndUts4ifh9IaX/ydEVm+cMRL5FduZ8SWdOJ8C02rdC5yqyeXHFJBvPUZUgF/c7X1s5Ru6DgQI8S2GlWrKYLP4gLTr9hn12EmsNI8MDZeN0ZG0v5ti4KrWm/4qPnQ1fslsZuqPrPLPZ8jxpBTOekfPYsaLGb4TqHbcQtVQd2LaRUacsx7TkczUY7oqNtlnetcsVvTZ+/6TJmm7BuWaXKQWsx2Qh/lKmOSBjaZ6LyNSMLFWheOtrVh861/GT9dZmi4M37DHtU3aFviQf1Jk7n36fHg4BSOMOsNKO0TaJkJH+eXCzFJsFtf7XYdHU4fEAElo0xiFlXuXtovqpS/WVsrAOmzgDB7Mdzr6Lo0xhdum2ySMK0HyihpYuEc7UY0HAgdxIJt8urGuHJpgcw7pXpXd8oAjzjxWkw0Sf4XkX2bBO0E0niQV6NXEbAQXx1cDjUnGfUnlBIlVkY3zm6e2MuLQXUg7QyJFhgVs0oHiqEpj4hXPe5AMBCMrtVXmsITWFEJMhpG1+OuiqSvYssFWdSJnkI5yKycc+vDg5w1SU/BBCS2V/1VVxZUeEnExjUTX/y8Z3Drg7nh7JM6Vt5/SZgOf63FDzONsCxtuV/HzCW1JnA2p6UaaN5kwPudd1mR00/9A/uYVucS7jrHoOBW+xXherB/POJ/O2F0hkXu2B701e79lceDLuWnMLadigewDHJNPGVw5lGokz8ffS9/wsd3P6HFJtUPPpcCQXX5L7NxLVu2TZgu4ilajZS5KHJRxEQjvqYbsmpKmyQJ+VgYij/K9PRgtItZtbVwNAWUEQ2ojGbPT46NQfa2yrmv0GF1dB9Qtqmblp50iKd3zxseC/0FmIdghCBpa3CsRm/hWP3JnaPJXrMe+qb6YWaUf1IhZUMPISjPVKQsd4SKCvhoYf3RJof79jua/bZE5JbmPE7EDrWKLJQGQWJWsdncjv8NkvoEAAAKpAZ6ldEKf/cJQP0jvXnenCD6fd+8OSQ1vjQjq2hMmALYvz0wksRUmYE6ybH/ypBD+QGTHVxy6+kPwMeNn6OgwT9QQAdX3r2RrLyqBqsqn0r0YMdnhEHHIyrlmx3sJaINRyOeBpXV1rBN9++XYIXeTDJ9dW08f7t/rVYeFwZ1m96wd3cNXQEJAeZ0Zc2l3LgXixftQlcLWnFkgSBBzruHd15RovQwWyjQABVkyP/R2nOdfhGLe9gqEADgLM5I5Oy/7Q0qECbmxT6bhemQD3UIA+iopIq6dg3z8j7WnQ4RYH1DySLrJ/uAyKdpOpUR0kZ8wuBiZwowhseBe5VVlk6zV8QwCq//oCKr+C1AJpFxCSmidTLttazB9jPcjR8J+8//p2nGtGCyHV4DLdk+wH8XzRIFv2JBZiJhuQXYEi4Vv4GDyZwbPlGgBv+zKylLXgif6VOsgAvIx6HiY0bqZ8WbUUXnMbj4Ed+YiTktyCRF6zgmXJJB1w02n0ObUjaclVpyO6msBQA8fuXQggJvqU9uH5hUT80N6jqABO9+w8zMupkLcb8sCoMm2ZWQSqNdyMwt7VKjhg3FMKbwilTXd4niE0jxCHVIZy/9WCxIc0PLWzXPMcCNsLlUE8A5F6nTHOBOZDq++CGqwI782yc3q6xFufRig7uiJQ9yqKAKuacHX4GBoRM1YLBWjuRqX7DfkGHEZnKA0EZbn3MgR4YLBgAb5mi4memaM0iLwzAxKxNbS7zYhy5ZFVeTaSWJcB4S6OFRNN9e1j6cTWvmUHjBn59+6E5Up7+MR6Tjb5HWmAhmsK4p52NoRkKUTgmnGSheWXpV2Lv/YeRe7JSmWF4WsjMYTO6EAADaF91Qz53/VR6lmkSriB8Ybv5vgASOSjy69ewTvsEP+hDH67kG/AAAF8wGep2pCX+9gOVB/Ed0Xprhh4EfVnGjcoChPu1Ubn3rGsZUp9De55jEO9MRU8qwgIz1ZHgSJk9zcR1ekXFpQLOn9JqWwXv/MiAJYbSEx0bbx1z5tBtz2yvvU/dONlGkxLX1QiclBLF0bkPFhATnjL9VtmHVyrP2UvszbkBY2DNxS1QMJNPJrGaVTYMoqTuUCPjIMXTrJqOnY5uqjtI3PVrFMklyaUo+9KLaoDp79Tmqg/MoVxyoUcKRiZAB8oucxfx0YxjfcwGU2kyDSS5QPz8va2AWbRu9LifrRIhl1bHCf9rBcj5MpM61E37wa4fpbSWtBPrKYnOKKL8H2KseUwjd1czlkBydT9GqEF1aNbTZeCYbajH3/Gbz5bKeKYxdjisr6IovLSudzsU0Tg0PjLixTS29+H9pGn50YZClzENtQmSffD14mp7mWF8idtzRePS0M18N+MTxWxtxsFMndgOsyXBUg5bubYDeks8heajXOBoY8uf7Xi8JraeJK8m/AIVntWq/SGoegm8o+5p1jnXfa1lvyANUqe6PjBhONJytwywOjC25URMi52S7FRfAHbRsH9Gmj1CuMQU1OG+mgtwO4Ar7FlXGRNZhqwc5TyoxlyED+bVTH9zl2TZDaVYN+rJgtUg0/+PyKH5WMS0+em1sUk7ITJ+FRst1OU8VfOtzWTmEBg6jJQ2QH3bN9E/hXxrCXPFYJM8zncaqJkPijUfw2XXaofwh4u51vtkGj1NhDp/nlB1LThGQGsGlcj5EnMiQhrqU2KUqVp5UFlWc0ZDZVYG7I4OeHYFMPjxVZQm0HjWNT64B/2t0RJwiT72C1yrv3GpauBP72r6t1iYOL50uIRkQxX1Vy9ei67rX473TLiL6oExpYWkvnQcF3rWqsJ2tKcphfDuCLCNj/zxtME8wvlaJK7ouEvTDnHB34fQiFg5jfLH8muRZr1NohnSU104IC3ubYOQkocoRRhhAF3imD1tuj35wH6yKRyLBNt+n6bHi0epmnPrzBXkWnoxHOyQVRyyza1wDEiS+ixbUtAqmTmog6+uYRmdurp9J7r6j6oJUQ0JzFJmGKCS3ApJM11Atzqw3WJFC670OyXcJgwSJpxsb5UInEfOBa4kCy8F46LXrZ2u+PC8xBtrZYaILBZfxukgM/CJB3gAGRzlJm6cP8xtErvZVlErlfsRv2gchGPhL91xUu1s1c9isbxFy4zUjGxLgtgcKnaCWaS+j0WaCxyhtMwJW9LXZX6nFXyzNUHUHXwLZmr1dZulm8iNZMN8mKzQrIGz6nDehtGIu7zjYJpqof1/Ufycrz/jY8etjTstQLfpnFJi3JoClWai/qjX0u/gvLgONuzMAxWGab3lMSAdhHNOgDcFacoUIPlqFpgbZdyE/CTRrqA/2DOEuW355UXFyXKwhyeVOrd6vkBq8lYqSjJ27oxV7yel784KWwh4H31mIAmDLQpFHnYf69OTUbIsNM9RyO1bqHbD8E0G9AcTU8sO5/RvlrhuadVHZms2s21WhSw5yCLxLEuxzc6vbsi+/ZfhAu6Ly/ESWlRQw4gVpe3WIfqG6wHhwljO2h0OeaYRehJ9TEK8I+jco1Ot5JJQk81BmPYrNiNGHI5hDbtVve4nJ2CukbmEoLcKctypKNu9uoLPQ8+QIMer2s6fyEQWAxBOp4c+xzSj9dAhPt6tjXNbdjELxCcYsRc7CN/Wifc+DhpZa9KAlY2Ny1CMUVtk2lzxmSSDZ+WA6DEomktM/ochQrYGSXU6qv1Q8RztPtNtd1YAt4IbKDOHsBJp2rlCZkcC4uRKjy6R+/mUSsXwq3tsixnkYA0lDR5N8F8/uER9p5woai0LqTWU5ztGHDBQcqUCm+JNpn1ynwe13nLuMMss6aEutLc2gXqe104xw4bvLuohE4axivYu3I2V0+eU+4XQ+BEaUmi/Ys4dCaa6cQ0TyTwb6Pda3SukoRNiMSAaeGOQGOkeuy7XCpIcaqczehR3v0wEVqIx86jl29svMnbD0GiYHX0FrGn/lrlAEWAAAID0GarEmoQWyZTAjv/JqeTwPlOUS+oW4wEV/hTmEHFwYOHRMpIK+cknOREuS/4WWT8lVG3sX7wB22vPn9tgx3294L0JJ84nyzM6lgbs8+yhv1snmV5nNj4C+Ve9r60ywB2eY4euT0x0bKftjpTJA6wKNL+xLX9NjcbFWrDp4jL+mYp5Wxoc+Lm/Ew1TOQDz5T8WXAsuXVRgPiwypKG6hdHaElFJ8anVCApv+X9qbu9K97F9Rxt5qStCULi2tpl3GOXkHuQF5lq2A8NfKl8KmfdWyVcvI+H5gKBvnVByOiYPDQSR/QbSJ/H0Am1pkrSAXbZb7I/qKTSlrOdj07xsX7H9IKSIFcMR1QTF989XiEmUYjqpVGNZAPhA8sTrO5uETMXyff0n2uGBPXramwPFMDaxP0k3yOMpGq4YjlYJ1kfIh+iVmAx1WzAuQ7uRWUeeavIMfZP0uY5v5a0YjaMva+Gq6PO1tMrmMUa3mtLLjDvYSe/z8lS3k5OGfwJFmjJQCdqqPTyjcuOdJytwHhdcZqSd37TawCSJXFzgTZO+ef+UB/gvuwgCGM8ApUepn4Xv3MGVcJoc2L5oQOeucPRIjCRSVVX68IbTb+gzexyPni9B4WTlVUYCF/hULbi8V7CK27xNoOGUXotc83ZFUW2fDMsC7CYB4DIK4L7GUISTaMxQqsjTYWfCOnW3LVIl0St+1JolgIDGrc61QM7QRtPogvlHwMwHL++QS2lymH//1/hUZlFX7vySRfShkSORNpMLregeWsgAAF1/vJau3dhIn08p4TTSp6881NA3Vvhd9phEQxO7Q4firlYXjMRuCNeH/qCfdcOGnq7aT6ksicffh/+pmE5lU+aBOZA+JGwSL54DZGHljxy+EUUyst4HPEFHVo3nIMHZxZei8pXQQ2JUEQJooBIMqDjHepI3v1C7jfSokmEl540vbRS7MOmDpDcE5ZUzeh81ey2fGTsjInFSt5Eafz3FpQTHdaHN//jGrg5DqzhUl2MpMKrezglAaTrQsOEKwHDdkuKOJTMIjGwzNI14K+tViBDeTN/uQIF9LqmmMd5qxZNjKqB7LezFMo/T36Q0AgtRRHSMdPSJqpgH8maZdA+LJHMsIqOcBQNfI84XxEsMCghEmVTT6/71IUVBchNJvtnS7yzfFtVgoV0P06i57Vp8GgAA0Jr2T/3eGsKovbIow10z7kcX2W0690gLH4UsktdJPt3yk6ZvGuUaT0JHClOUqz9GlUST0pu4YD64Wx4reE2UcghU5tv6XM9DACedl6bgMiV63obQNQBaXqm4flFqL6nuHrOnJ7SzlU/rA+Bq/k4v1PsLcd3kCcXgP7LnHfKK7fLotYIb8jKrJspZcu5VocIn/2WTwKH9G+Solv/5n1+bC/DTAStiK9Ch1/fPabzN5QSflEZGhHzvXQwGPrne/9PQ4w47t+qrzLqhqsqlezUt2oRdExTuin5d9ZYI4bgVAkxM4AYKmfHGYXmBiPRx45qiMKgO9aRD3dtSqjrSlfwyrfaCbnh61j+Yb2l9PnPoAe8H4NgXPJbBE6E99uGPvw5eczAqAkVK1oeGWkBDMnJs0rJ2PPUObt4ZOOlPUTmvMQ0WdoDoF0e7kBcVJ+nrMvuL3xdIMOWoI68Bw7cGh19UeO9y5qQ7Mqbi7M7llBGh9ZMmaYXjl5/v9Nnoue5raEnoNmLAf/3ZkjOBe9ZuYaydw8z43lGtHat82c6sPss+PVEaLYNWc3ebxjheFROwZG1Q8r1HUgStKw8incJOMEs2xsBKLkEQnhGE2p25mpPHNYSrSztNzarYyW4T/nkRuJDAgyOj0ExCuOCKXNqvqkuQsFcwNN9gsXyOrrNdmK5Jt9xCBSYhaKwlZ6mJTuqV+NicGlEBfDQ1Phptl01HEt2oZzB9jnCuVJyJHsui9x/jx7H1GhhC2lFrLRsko2HW8n1N1UhCymBMmZ5/TaJFO1G1P1LnoFpwHimEOF8T1ueLuBq/NaesKfcgGwE/JurZx+d0267ujpwesw+XmfccVXnCLDRtXlrBmX1ScSQmpsjYVpYLsytZEs7oSsNhv/9RPOndUNzVDjYm23eQQOU5OSz8oWQ1XJeA4gjqk2bA+O14Z2d7SRHVKPQWma5bQ/itKgbs2pGA/HhAEXfIDnCQCU1hIzdXVajkrPtlDNVx0zosNb8MWW5n8ar4hws2lzAoqN8+4XwPfFEjIaiBcmVuPBtNo9glyRqPqKLseZall+6WbAka8oxUNn/VBsfZEEa72V288YJxDlJJsRaSuvGESgcTvp7NtIVuM/5LEpyA3n6XcMMZOt/9o/3RXNzhKQBqOiKNYjk4BxgZh5OsdnnyFkg6tbTPfKo/w3OOw+6zjAk3QAOvByXUw6Ryhs4OwDYv5old2VHavMrNqU18XlG+KvS9QnN7f8s1xziDrRKrC63WsH7aB2ZYOm0IaIz5vsyZPwv2+d7n3NadqbDcoaKlAE4K2Xm0cMtV2j2mfBIb4GmDbpC3BPsIAF/OPTFEDX825DwztmvpY8vmPyBP0atJXLluBsbsmX823/F8x2porQQgOWGT22ihp216L+vseGabFw3c/y86lKh5UHPAWAWr9a17v8aj7+QwJXHbhGzFN2TETEfTGRKb3vk498KHu/yr+/9s5/jDq0zDGz2Lyspn3xiKmX4wnPQUnS6FSngOWrgvg/uZGE117WfpJ92rKsr0MPRs2LnhqwQxKHnq76Ms8q9aaTDPlMBwjnrpyAAAAJX0GeykUVLHf8raezvf5AEbl60E0RVhBvf4PUBHDO+oaqPeylv938wQi/KqUIIz7BrWWdhOp6Pcl3cOGAJNQMBCJg25i7t5qeIcRRk9m0SypWAuvmmIklTTvALRGVhkz/W6fcVb+cNtBgvYdEWbT/QVnxiLUeFc9eEs7zozkLDHJ9jmVStngiaMTnY8r/GgRb3S9V+JxwGX8Vd7eyv9aBe7KeXBdeegFHllmeKytC6lDesOoi09TnYRv8yLd/8sbcDyjcpj9EQpPWZYxPr6oll59O14/bvGWup9dj7pfnUf0j+PFwGOYZ7t/z4G5Gqt648cULxPnbqmSPJt9xqMVxBkRAbTa7z82DzJiJ1fezSF6md+f/6ZLWNoEDqGsyGY0IFT5BU8f8cD59QYKCqlsp5mIi0aDRaLmFSw4ZADDopFzuOIlazvDkaKraAx6qyZP+kfqdoHJO6kTXAU7HREQJPIzitD5w7wQqFdmsGt7I4BkW/F35dryXm0/QVRi9zxrqS/gEpRtvj2ZN79kanKErz/9DKGYvrHFt5sxviXiDVYg1289hsMmkDPX8cpHdlHg2Zc4903PmP62oPNOl440qE8pdTRRJb5Mtk9BtdyUg06Ln6b2Vr2gTa1jJ4l2FbucZYw3BhbuC9buCLvMU6tHPZrhJ5SUmYeLtrwrNWqJKDsXGb4w77UljVEbHH/5VmKFx/C/W5qZFMtFia15tqru3w9PQcYx9nhkfHIVTxLtRLqi6pMPWe/T7RuNfgDlsWRAShO0GTrBjFcM+GNxCx3LvhAErjEYQIKVE0xI2+fR5Jz+G7geufbYoYpGJ1WgXv443KML/Or2xk4Drkd6xnyyyuzxhtZfpg56LvMm7kGAAS7anTYzyZM+0L24VGNkxqP7EuGhIVRN2rh9bp3Ivv4MjgSOdhQOa8MSgQUUNTNWuDwP+JAfqrDIGjYKrGAaX/dCVT0C7XaUcIibx7jCwmsSHuht3+LpTcjfrT202t66z078R7B2Qy0xLViyZLA838ZCBixWewP4HW7DbBJpytgyHef/2GB6kH2KLXf1909b4/kpTfqoyAGNa1wwYJqTZVMVdPwkzofLBZk465nfANGFAo3HD38UIBeFUwdCgCdjYtbaZ2/iNep0QQCWCgx6KEWU7NL5YYgQmeWcMVUOMxteRjM8qP0CeazQUg+4wYszwl55glr90L8HVwmTCcxnBhVX8HHB5MfjjazEGDAsfVTRFPKObq+zu7O6wNBSobZnTIe8k0Yl77GpowFozoSnjqg5QAfB6w751vNjCHKiD682hq4WXeKfhqpLzAmR8y/p2gHzAPEW8vSHsD4Oi77T9d6yM5NuxDHxSvCyXYXzkzPB8O2WX06rK79TZKKTyB1fWOigwUfQZES6jDW8+dKKUfkrl7jKYE7EypFUBUAHNlyLi4uxfxhgHgjasVXaeqkHq/DqcvxkqQZJJAzo7eyU73X1T2LpI95ulYrEOKDQhqLuQYxiLmDSoR7sDQQgK9UYgB26b5FuwjV40Gcix58Q+OR1c1FMgZny8XAfV3baTWIVPVkQQGR1d4T5DVwDEZIf2rxv8C2Cv4JK4Y07PAEE4Dy5SmEKMUXWCALadmsLJ2avNTWRb13Zrhtv+LEh2Cf7ZnwTQJKO6YisCXA3NUXxTYy8sckSZ41o4dO8T6G1RGfd17C89xjMRxfOgeUR/ZMlUZfluOM5UDF47r893Sd19arojoAxQq21JahssK8b6mXLW7UgadJxDftHUD51AATAIAbik80U5cBuZ6nKJvUvsOSGH5Qz6z5rt83e6pXSDu1aAEPIpK5pVrSrAR6FWdc0aioo4P8/0V7uAVPgxDLdrK21Rx8dH/AtXxTuVvfK8yJ16ivSU4qW5BGHHSzw4nXO9Rd3GQgmmgkf1B4tpsn6RENw0JCyZDn82NgaKFLQvuSZPuzae9d88ILDldgg4ciSPgzICJ6UZiQcSH/CwtBPPjPvB/+XyWbWVGLJCmM5nc3UZmLbprwp6kT9wQVI05s3hpZOUjxcsQctKuCU11ghkzitm188029VHMXSEsAK1AhrHxgp6T3ZMTW7shA2qgl+Gy5psjCEZixz3TsZH0rE0etg4FGWyx1GB1pxTXvTBVTYXyUdLzJMNgSEG/sS7+G/VDFSdIyERLlvlJj6SK09Nx4+JawxlM7FMqMVnLqzJX7CRb/+9LLqcV//fRDDpz4wb48zqqeiQVFhLeTN8jCeTZltMcMkzppdWdmFl4KjiQ2HPzSVr1QhVRhQNFq30se37jc8a7RQWXX1zZBjBvdAAVqp5F1/PisRJzFEeAgvqby4L0wb9fAoyNkdPMeUnqXDRvPaVZbIi42a6heeen6t34hGI1W+RVX6298MzSNYnQquphtSRjIpetSVuAn9Xlz09yIJ78uIuYqVtwHR3fejqAp3vLyOWOZBIRrnAdi/0jwUbY4Wm9P9oHIT0EoLr/OG7vfO3oYtXROgAXDfYHnhPeHF2Mrj5z2H+JituDrsh+IsTZ9dxGQYU9Z8ipvdo6Aj0eeTDX7BNP+XmiW1B4dRpbnjptU1R2WHS6NFBDwBbq/mqempOoVe5MKY9bQ2XjxVYUbDmf+CEuLYyfM7iQoTA5M7IC9SPaEMOQrwG4QdjdBiZuprB//GSDoN8VahtfYw4Y9pOssLbM+omu54ib1eLyxvh8BEFJap8qyhzWjho1kMd6TrDtJc/nSGo3I9BNpKK1bECFpp4AmIpAA2EQp2P7doenYWxB6ZivNLQ/WhIE2wXW6+OGscZyh18mWZPL20Bg0PmfQ84ndSlPS5uxUUMG5/76Xp+cNLCiq1quzZ6FcX5uIeClxJYkJP53aKLepniyWXf2iWQ4tNZrHDnDF/qcCpohbOwwEOukkcvccTSQAgsDFKSssrCMJG9BoJf8w0xsizmo8LIPmRzXzlRbIuEaVbieKu78M6xOpUChWAMOCTAkTdf4yp/AwasVrD21ivMWx7uvD1d7+CWsmLszozFgB0JaunhtHSO7XQfQDnCsY8iTv58SKCEDWW9YIf1qBNk+f7DDOXSgGs/UFZFIkKRmHg0fpsdU0PEZhTnS5ZENz5vpYLMTzYnOjN6okKevkXqFzNMLM7sVvtKxc0hFhIDvni53DyXlC9vnzoleXHEfrygjlSy+MN6+yLHI8yO9IHU21wS1W5FnDiLrJXs/bIFoAthAAAIzQGe6XRCv/Rjp+D/gbzWvXSvqnVFCQ6AA24gTN8ds4Oo1LMsy45JyrwXf17fMfrGu4I3YDNWH9OLpsthHmideE3nvQ5GXO4Vc8ExtqQ8+2CHjjxg7SkO6zCaSdgj6JC1TfDfxF8ZGTeNR9lsBQ4D4hb8GPECRUkb+VIm7mpH+qzvxG8VC6VdJrRXXlxXO0yZ2SdfcBGCCNOKf3mWAgkvwGWm5dX2Cz5Uks2uFg4gQVG5nNJN3HXhLnfCeRh37ZxI/MHewns4EXNrKDo9c1lin98IA5W6RBSZqI311ccWpZ0p4M1iuFnHZWr/r+wBr5a1Zllh9q4ZqMUf2wnN3hvWWjlo5OSP9ZqU1V70M8MjaDvrj1ks+P8grGWV5gPVtYbrDMqKzKiXnBNBcoCj5Fnqgm3CKgLiCHJd61OyzeCsfHlP8dzIwkrvgUsrLk2+AnI0Gb0enpI7iqATpejzNDp20hfMq+MDP0u6SQgHTk7Ke1rV7kcN2u3rtToyWAdzsEoEtzBI5+g03wX++Hq5HBPS+arAMFO2RCrhx0UzQOWVbWo+VyXOQ0GXaZzrxbDh0SLr5hbFyd6bVEocE+SfTOeQs06ozh4ljPmu2U83n6XqugVMfvNZLtF84l3i4e20vH2160Hl10D+2sDsu4z/QE6qroqKFXzPnVLt09k9oypgmtO6PofY18pDLnm8NCMVOCoi7TmMVtGZZx9ElwxHSEeGNEOxIxpebiIfc9sNhQgKdJxAQVJGTa8Q/TPsS96mY6uchddWGbQDaWB0y9h1nR50GGrYNv7Sfmb8dpZg2+cCbfyaRLSx8SClqlx+Jah4Lu5AAE1yxCLmlnP0VfZRH3M1padV6AkfoVYIANhi6B3YGs/65EP8B5CPCggcvhnFIfIwCrACcgIJFMw7sxy9p5M1OigHWMbreVyG4yBiHmkyAlx2hRnhs8vxnO6vsLZNdFPnKuUCyS2v8DIEQyuKrRyqcyXP/4ku3rdtBirbBDGracyGOoHK79c/PlgeaicBkoguCiqE1rPPdezKlDlM3sWAWCLaizjNLm306t2RKpjuI9lgk1CNgtR2sktqXwIiKSMhhONQDhuooOhqGfT3xaVP2HG/UOhv+aUAojk2rlaHKUxm2KkB7jaTEyPzn2N8FsNM4ayTE7IYStgaEGYZeKnUgEmy2GXv62x2OUc5hqfPVw3rwcfZYxHWRSVg6GQNLHsYPr6LVZ/PkwyfRRHpRvHez5Qi9YoN1AhP52TMlkVqyNVIdMBuZxzaFL4jx7uk92VhZgWHvzn/pGpnOc2qfY9U6vm61jSJ1P3XCKJh+FCX9f86OC3+adkeQ0d9sW4xHjjXrt0t6LKVSpv4fwfOZK7aYxOfI9YJeu/szSSK3xcjp3aPI+gF2uH6mrrlCMUnyKaaP1G6K2o5cmCOnZL3vWEvqchqgYh6VBARsWo6ShGxJzPU2w0TQCwA1mLs4hOBLr3r+ojHbXsfPA9yQ2VWuW3WThTOZrDGHN1MP5X/6/pdRv/2iuDPQwAX5TJpgrgnujcrR7h+VarCERU75htKynobFrJvWYQLg+sqcM2CTnZu40/B+7qVBigP4LkuM8RrcXuVp+xb/pAacNyRSsNanh6cti8JjMlJVqgsKJBB5E89nO3UcQ6ZluF/W+voTIfliS0sLNApA/E1fJFiNso5EtS4hBZ9Y3JNdDBLvyBVAL2rEbrB4uGF0qzBqrPx/IMPE9KtxsXM5VzzfKK8sjegmL8G3JBn1N5gckmIEceiKVV1YEqKDP0r+IsQ1LlCijC5hgtV8OLP6MywCmxRPpI4MUp5VYOeYNTouzCtESFJigDdZPFBN+m4TdRbrOpeW08lOYzHdRh+rw5hHBHVtlpZGbsJ/5T/VhYxubdz6j4TI7MX8lJ2ZnSvKL20WVWIR5gaqxsndvu+uoV64l+T64VwMfk0KGjc6qUpqedQQAR3/q4qOoKKrHImACxeQYJCFXMwUvtndCYoep7U2GwbEy9DArTr38lFRGr23yCiMEcgQwlky6xmvwaMYPdnzBsdvtMeZcZwcrSwOsGyzuygu22IhROGZEPiMx2umCwt7E2wHlkGOSzx6C5MDFYWYRJO4/MkjinnErupWekvaFWMNeA3mrzTs7G4DjDXD7A9Xxy9SFWsHfaVAn1EY/ANMAXPCRwpVA5t3roKm8pgiNJyf5f6/E6Ps1LMMym5tONFjF4ePmGF38AZeomuFS2FlbMJfzUSBPWFEhWYV+q1wdG1LTGy1AiXpd77g11VuGw0IhGEZH4kbi5npZ5gLi9mTrUZXUomrzAa4BNehHPWSzSOucYlgWygHkK4ABSMmiXq5IbRUJA9QU8F8oBcOl1Gel8t40roLqMJd6gAnAkRdfPT3GM8BsCsdmCUyCkYajeSS+7/yjUTMRjXeLVJj2d2RFPKUjNzggcjCgl6BOwF1bokcRAjFKM/yFPYOwDwfRYN3gPDsdzRpsTBw+hDMedTptNjYnWtouiAb3DP2yBKZBZCIvGoU5CCHfCLHGdpLIYxewtDpVyBCjpEANPe3SeB4E3k094LHeT1OphqFedCIZJZ91aFbcasBr5U4EPfd0qXlYwSFA/dNEQxH+nkuEOhrlZWdIh/mHXjuJPPw1BrktHgsdPpuL3C9LEOgI35x5V02jP6h2DrWas7tQPwhqBFuQ488CaRiddFnU0tPhF2qYKJ1odVGZBmvI423rP/BLEggQy5gurhroOhVbOaMmTw2zQf/ngUFcWfq7rb93FgKZpLCWkQM1GN2UAs98T7SZJDE8RPAjp+Hcyg7F03YmWFaFEiqPAAfY2oR9pwf56q7DJqUBUMg80k/McE5xSyd1KjO+rdfKJqmgTyWiZGcJ03/oQLzrudbSDsG/t/aEYYWaS5wuJGeY4H7pKviPV4pY+02KUWQH7yJ0YO8AKCinDX2ZA+ey9+GK1LZgajzWhnGj1RbEU/q1Ouls0qdihzAtF5mRVn4CHjSOs1/vJyBPyxJfMfmIa/MAAABPcBnutqQl/3W1Z93C5ywSmYWVQw0rl430Q4rpOdK8G7tDnNYKccUvtpe3eZqnA5GIOc2t+tr0AVhS2xWFEmZF8F54SaceFEDXahL0XHja75q9Ev9fKT8CHJXN3uoKDBiwCE1xvdfkS34kHWXV5Gc66VSlLm+Ys7DjuzUeS0XL2XApPvQMmfDZldwXLsddTSvSF32UgILVo495GoFlnfInOfWhERooWFtXsLonOrDvCOf2Wh6OerpUewVAUvhXwud+XBZn0K3aBWxowCGuTRBF9Yc3gpnWOAq++c5/KHMGWttFwybWJPIXpjZl++POPqCs+0JtoPl+nbCDvP5lG0nLnBCxNaDVSdiUi28rQPLnKzZx1XYygr+v7Qb7NqaP2tGN+ldhFmKMt0JH5/y6nw7uCZO5DiCSpuSrdyN0ZOaZuRtOM1awc17SnuIMXJXFDs72ZsD67Q7UMkyJfkIzECNvlQLaxcLg3W/8YBFl+2omc0NGBzwd++Rv7KItbYcd62z0ZuJ0Ui+xgXWUgqDbZaK6ti7lFsjWeiIxfj74+ga6mzWAodbzjH2g0NAGmjFvUMY34KBpUUviLMsgh89tmm3YY0noxD6rPWKpeof7Eyr6hrQMqmQ0A8UhACCZ6QF0TBlKvRmR2LENmxms9nOB74giU2tLoLoSbhLNPM/v6GMqSOLtOgtYCb7SFE4rsJacsYt2/JKMemNXtUatjIEgGoJUko4CzqS2YKWxkQg69rOTnqs7EOTWDePLarHrYkgFZlwVlr0ovZeffucbeHgDPxORuRdKzdm4G6wJG61NaKDLN5yx6TgALbzDlwuwN5hl2YQSlapjUTeXusHJHYTkZXnIcR0kwLxReqyWrk1QW2MWbU34MtrMDDnKX8+YoTPdgdsA9sVbjbWRBLZZ/acsmeKvaMYWY34UJEUl0GdM6TcAJP4EiZLy81rmN49yF7OSWQkuETSiUCyPXTlA9tto1eGQ9iXdps1bUulMzT5i2xweFj9xyIEv3i2swjwf1Ef6cHJuax3htqu570FOeEl2ywBReIKVsJrV+gvN8+D8dvAgLm/Vka22iyObKVPdSWWNACP+lRznXkmziHJMOawdyA4SOEuOrfAQFF/2IL5OuK648lpaD2Wr7x+gfznGygJR2u8Nldh5LtAYQ+ZC6MX794+RJEeFo563mWocg+7W4tss++L5ELcg/hhNJi6GAHwySHVa/zTYi9T+ZRGIvDveB6YMLP56C3tAHEX1Er6SLOiLLJ+XCxNv6D7aS+/JZzCVScmfxbB/m8iVT/rQYRZ33uh0hrwki3NSf6GoxMc63/vljsfuMBbPyfCYpnyCxzaSDci++kb5oFEdv3+HON+AbMRpz3q2ukrjFwkRVNzYTKDErySu8JCEJRG2YInc//zcRu9bpAtMtREUm1nfdgjIV6EyTZvxmBQzoFtOaKcyhCYFDssB1W7u9iZviBx4zVPegpXfL0PD2RTjo2VXc7fRzUSj4/uYHQG4e+1aTlBdx4UHKL2DKLVxtPoAToz+cpBNkeoO8DjeP/Y2ZLzyD2FUKWCUNcrzj1SIGAtkR2vRJQBAxX70YKnJ23Hh/nah3KtIbVGI3faNsMlv2l6FzHsdx56al7Rhfs5O8rww73JNWB6NS1kMl6/sbSDVGv9IQKFgHmGzOLFSw4kAfKDdJmlMTFFg8BecfsrCqTkAAAB8RBmvBJqEFsmUwI7/vb9Zg5YYIxcqTyzBspTTKq6FsOsEDfrJGv5s08+jEbw5mm6yo7TgTeDiTeszSM+5swi0HiP6H1bUVvfouMYMnN6fj7kneAwDQKMsAlUt2jrO9qSajhjxkOscH08RXATF7MIf8BY8JQ+Swhm/AaPQ+jGkF75MDbXaWKeoHL3z8FztTyXHRQPqdOjnBlN1CFJKjjDrOJhK5bBUvSXq2EGL3lJIDjEgfXRhPm4JqIGyMYSg9PpfQC1j/dowW0qTW9qxvbzFZoDvJSEWW2ahoSyNmobJsvYZzo3ppo/5OcEHftl/Wt9YTzwi3GYZ6peQV/OfakB7/KsBtmdgPLQlkNQNeiGs0/dcwfy1O+l7ce7Zw6MRX9sQOajTkzfgOSwHKJ/B4KEqbbf96L67Bdh3zoe6HaVWEw07dofghcyJp0ibgw8xXA+15mDiUZUYrGGscObtUblrJ/DrQBn4r6beBVbtFwzmYsoytYwMtkNMf3veSxrGz5Um4SBoERBoCa6m7mwNDHFF8Cm61hctFBCAcQ07fsWeP/Tb6sLC83m43wtXeGk300fDuqplRrBv5gsOt2QfLNtJ/rN1OMnn4F9ao3FARAgNFqp3z6bW1lW9g665rNq2XxuLs4xyXY3Fqj1dGAE0jNvhltRYDvWoKX8jW5GpEjs+BFckCe6XI+ZMRDWkKTtZQCs6e0GvtAK2KYgGtr5zXhjBChfGpCQ7G5VcZih5amxYOI/tUT58mEDVXr5LWkpJQpr+gEZ0EBn1ePH73GL775q8MYRkL90jhNmNNtb9DZtxJ5mzulaf+NCcCJth8VB9kuHYhKMZ1T0ECyHhep6pCwzg8WA2AhFFtnrBAt8+jTHvrYzMBcK3XKgW27eJna/z1wEzhXjWEzA7kN4yL/KwVe8inz93rKDqvsakN+RLF2keEcO3Hla/gh0NVOlg6Mnm4PTVsR584IQL0C9FML+wPPoKtQZ5cVM0W5+UlHrUv/yEScHsskhzUsHhQVWEjdtse52MVgrG7ScUtPkokJNSfzNLFHV2CeMql6fkR5bUJDIew3exwsPaCirv8hb0gZaPutLX2y0Gb0Jgy7cUbPbV96hWBKKR9O3BrdjZMqcRkOdfsqfS4VEtXSOhAti0CO1np9PGy05PEILWjMrPkQIIJZ5GHiD2vBXEjIa9qU/d4beakiA9Xl0KzzQIn8R80d86LcWt/wuw2f8X8EuiB7glVMf8Y32LGtale7ND4HEMMk4lRukCdi9HIIHZ6uQ03e6wZnbuVOmR+ll5XSQFOLhptRYc9MuncKLCP+3z7kCiGnDdOWm8FabfxzDbrIM9E+VEN6yxDqrLnuKc7qNMBGqT27+eJiSDWxHGs0Vry8INAsYyMJ6cwIRlebWVayZlHagJu2BlFY+6avdSBo0FY9b81av45h5XbZP18PdCcDreqGuLIVXTik5yzDPdwkYgbsQFTJlOq3FBue/yXLSD59esiPFfrKPHkfWSXOMiAyryGcNC6gfol4cz10t8Ugw7T7mK2m5M+nCxKNWJBy4zLs3O8TACLSMfq+QFsW8oep+JrQsMWLuIA9LATQtJPa6aZHqblRkIeT51GOuyLE5DH3pfwKsI+iUF8sC7FgHwVPPNbReldYd85GSG0MsAXxc9SAruD7nncnpUlt9dT4Nwy6WUwrr9jTYGzPPnpFhmWdmxZMvoQMQsVWNuknhwzkA/vvwRbkMcqYoNEIx9rAgjtaVDglNb6KLbueMsdO9JBjYrKY8i2lM13xJZFGpNAQMY/9tKRKIo0CQlakM6Vdk4UZjWMNqmtp6XQyiHRA11e6GiNpW/CnE/RsKgvr43Qc6uOgkoh/xwdmRXLOX//Kk5xjb2XS5Vl8iskl0KBZz2krbUq4V6mo8PLu7mmxWffxqKkf7+lZVerGiEw4UteM+3OVONjDJf5EDv/ozDOrTSrsrWCTNxOqGiC4oyN+ibL6qdDRv3dzxZW4ABlAnaKmjZNa/Fd6Gpz7KYOFqMeHlIrdQxYxhlLR7zP6WrrfoDes4KQhXtAwjAr+1iL70aD4ZI/RQinFTMJd2WpMbTTPLyY4rZRvEb34+5y2hTB78IVyBDX6RSSohIff3QJUEoCTdVeJI6iF24RWimu7WhMKXE8w2toZeRpDOZSgNJvXfdwWKkw9r56JBKPRhad1mOMPiEWSGw/ASDKxpN3LGClO4YYHe5AKVMmmtW1XjKb5YrZO8nYTtNwd/CIPNCEd8p3fKzVZu0FNUrTHfLCnyWfO3gTCNacYY3Y0e6CC5UHE1PSdtDorenk5rNm4eRZ6f+ZA9W0sMSgtsZQ/WQbVo9An45rbSmEU1B6Hm/AyI+S7jYNThv0j+otE0aOPu+Hal2yt4NcIWO5B2bTzf6IkkZ86hOZW9a5EJ8qcGMekLPGW1X8AUsQEZ5ZLEV4zHCJh6Xnhyo6+DkCckevh4xaPpOSe0yEbq3knJKMpkSzXskXb6dBtMwYGphjiegve4RlE67XyZVB10vM0wzXFQTlVnDXbGu0YlCk48bmuWzbLAJl6WuziiVI9wtzqKVpuQN20c8k/3Su4zuY6rk/V1JmN3hytr3nU4/xbhqSL28rYRLi64iXe9AWDGJsa16V68ZFH5LPDc37bgCBLHw6z42Qh6QAABOBBnw5FFSwl//zOjNf9yxwTQ5awF3n9ZSnY6HMEXtSD4Z8zaOH9wFKZhaSl7t11FwdYBiEzjZX3HQS1/LPPmzoPxTk7TdpHiFxNsuFk0rY+/HKv5QwV9Q4voI5rUt9oDi2EaQUC1IvcKDSSLn0UAA7vmJH0oTgUMiZgmAbU+hv9EdPJdquyiR6HeOYLPyukIfh/5x4sQ6LNJ8WenIzfaWVCAqAA+wRnAmeNUtGYrVLU0NnYu79Wrts8Q/uuMTtggf9/kUL35BmQuTxzRs3A0/Rtmgtqiw6gmtv8bf21elAQW+m37sswwK6CkimLjrLon09/t9RvW38ncRwN52nuq3hAYZiANb1Fbt9RMD5DwqBP3aiSI/Zd0I14faPF007c5ryE6jFMcjKTEwi0nYfVyqrsIlAPb//51i0PYaBUIVuxvhppkNVYd6QdaD7KR0T+4KsGHWpLuXXFhJ1kK+L16rrR5mSy8IF//+mCxOPJLU4OTkMMa1qbN8GVeRNE4YfWaDlZTYh016nEPMrJZU+K8IPoFc3B1XI1AOoRtiAzynBQtCmWrhruLBc6quliO+IhzEUQ0rDgeT+MVvOFvavs/GE3t/57n+s83ZOujNbOSGD4YnI3+Q2sh/3P+FIgr3NP1G14fcCwA90bNS35AAjN8Ff5keQAvcvde1f9ISEgw9DmdEjjB+VsMRcvjsv9pLlNWbqnb0b64ZxXJPphjh8KSB7TMSu7bkEFNR1jKG+5/dGUYHFFOlXaM/Xt0Kk3Xkgy4XASu0771poFlah9qutxSTmPXL52AlfWKm4suJF78i6MPXDbpD5LxpBEH45rW1s4ZbGA4qlNp5UDPRqjNIu9ud2k2xmUZXmH+PTwpQmq0Dq4Z/hXMGYQzMigDGSAkr+34fDj+c77JBITlUD512j6oznyOP9wnvM4hvNva+7dQRZGMsFESbq6SxkQ6sJUjVFebs2ITUXAu9/z7rpxx1jfSNmvKBo97wxWilWCw0vOW6SYXh4+8Zxsj8k6baF9wb4qD6Qt80p+jzEaUqRDgHKFNEaySYV7LXq84U8c4eVCpJyD7WM0QpfiefPhFPIpI25u9H3eQ+Mjowk1Bb07n17JrtJ+DqkIz8KHveGOhH8h/b9RZlVt5zJh+6U8DCKsoUkDYz5XpA8ctM0jh8DWAxJONHbXQUO6Q/bpvU+bKvAv1l+iE13kywpFfJsl9U8zhBMKCFZr+fBudYPmiVuYzwDEepEykSwo2GIESgY7J3BEKiEUimlpgDa8TicHolCxx+58fBadjC4fX6zYHTDDKVjOGK43ljs/3f4BIxxJB3SW6b5D578e/A07Mwq4N0xVDMNnhI3ZhF9d+rg3Bb6dv1lKhHcBoB1+DaTVcdy2s16vVInQ1g61exyDd0b1DGOFmm6xCucEjAOl2ThyaKqPF8+kIXHZIgg/Qtgy1iZomgtBxE9cF4n0cTgllDxDypOgePxb/xHBpqLyp8buOMa5+Whg3gG7kWzFfrJGiyoj3PtJHbwNB8BQKDa7XN5RBEqrnTNzydEsGTtoxUaryn/t0lXucoszCbPkHyV5DIYyBrJexUTgerSJdoJK0KFxJ/ZcIQr0aa0Cqh3M126/M3FXWJDFST9NhKIFIqpX/wYXUBpFXXcCMbkba0xnnFl88L1gQ6cb9tsAAASHAZ8tdEJf/H/RPnCF8gheqVVvYcm8rBr/SJudfU2x9JE3BqLyNivJstz0hBoPkR1D2/dG4V11/G6UXcz7pB1aVwObKbRg15EORZMkkmVkDU1eJIrMS84jKf+it5MaCX3UtMOxsTiuODbf8QDCWTiB0eTj+KagxIyHtkMReKpeLKAL7jWe3RavtuhcjhfMbMY93UMdt5xUEiGDuQsVYrA8WHpUosE/PlhMJvVoj9adTboyDe1BYIg+QAsMUEc09e7kH7Bmwzp1UCFgN0pDpV/8g279jnSj9pbcrUJqitShRlE63VdU2x3GNhoPR0Fhst1pLy4fFjS1smdccI7II570v8E6/LPw+ahV7lu0/Ivj8jPKrBxbvzmiF7/eQlO31+DeDjT9VJarcY9kQBn7XUCEI/bA9XT7mQUVz1JHbAhUcZQrznff9CKL++6SmR9rkLrTTehr4Q6GwQwnaxb43cQYBZNDx5dgbLVeGbThwgp98t8dUwWYXSKaU4BijpyBGRjkMSngcmPoUUu3R88qf7Bf6wsa3ArM003LYwmUpRPp/w52SDLqmb5vwtuzo2HyEayPyvJOvY2zIqRmlCT36CkJNpzU6pq8QfIMAMyFMaWusPWI7pnCwBd+MYC5TorjhpaX/zR/xob3C9IWstv/fKmGNXl1AeQ8NiddXUcOS5UYjlCLGjOA9MNVNMp/mEta+lwkDDIKMlWN3hKMvwf3x2Izt80hbvvC1w/A0nMhH0S309RBY7TW8AZuHh326S1ShbBDr3qDjHAn3PtvWxzpUk86irf6KifOad4lJ5GrW7eSgevX51XCeJUFkA1OlSpOh7LjGSLwn2fRQOV0qnuAyVgFhmO80CwHoIwqixXejwbcX5zX2FiuySMBknWUjDYisp5ue+f5cGuRhPAuWeErR51A0Qyf7rgp5XCh8rdqrJiJvA1EGys035os9zdgMqCEcJVcuiS3qQRrMdM08L156KfJP6hDDcLPFQce9/HMhExB9MMQM7JRMVydHgOpDPquyjpmYYaYaepBDRnDrsF6UwiESMAqkXgxAHZGg6EMwMmNSZT939R+rdWeC5VV7S4wEydpF83COrE40nMRNTicXCIqQOD/KElBAa5UEnOquQD8qt9bSLjEXFU4FV6SR5yREAdNU5BexOQRPzB5qqnh9z5gXIgbZGo4bHkvKiRtdci85PsJDnK8iTMqOwW+ied4WAugAwown2blAxiq8nmiEmVlW3VNBxHmR6KyLDXvyISfYsTSJKNSUc8fwi1JT/n6wPig5/xHWtOmXrl37Y7nFyheAzLuM53z2hpkx4NyLQgfDi5mkC1kzhfar38gYMdZhgsQcfcgsQybGvtHBXvKPy+5RQVXpj/O4IFCxsPU0Rq5CAt08SqZFUH/T27LejJieZrK4+1txKATcr0WVNiXnNC98fQ+9tClscLWIMW3ofwJLzrWEBO+tlKBc/u49KxMvOCBgor8vnsu65M0bI78Q0n5Cnh00ZwwX86q+fLo6GCcVWiX7igd0pT0JKsMXB8crZslHx9ws9SXIQAAA3gBny9qQl/uC0BkN7Zo47yPZ6NaUybkyMl0Wfh+U/y+UQ1QWIB0uADXiccltn6erWXdNH1MnGr67ZeRgd3m8vet9foRXrBBc9bXBeFKg9vmMtWglkrvYN1pIGfSREOakhSEHJYfh11qGm+h8tYgfhgWNnO86nGnJQZJBCctcptnRXiE+D1kfBbB3hKcpObdvgAWKuf1simMPnI9McZXCWCO/DU1BYKC3b/ui+2KaJvQZ32lRtIpcTaHxJ3TImn58GY0nnXN1BYerOAk9En/QQQ5wKIMAlLp+axWL7rrn3wDCU+qGztqZjDwGjYGEPgywZ9mSaTL0FQ5OVjXj/6rEJuJeyRb5+MErx4jODGPi/Jc8WnEVomZqgl70Hca335H89+STruwG8QmE1wgmFXC9slAhhMmWCvlu/v6VTprzmsq7/baSunIpvPVeGcvoSRYumfaWETdaFU2IEhu78Btb0U+ZjypFYOqG8FDHqR88QCVpP7PmGyDzXo2MbkIZq6ZEhmKC6/Okn7ezRT9zXWs+RrkCFNi7towyabtBV9aWu7eLn1amf3opbYkSLS3BeBxB5TbQM+YHtFsTm15bJFvlTRFB7gsfPiFlMKV8XgFHPGel2ESn5xxD8BZ9f9cN4g6J4/EhegjyhyZOSYNkECWHKLYsyoj3l3UBlqItlDBhrdX3bHPnOoT3gwa/E8Z7ucIV75zP5KZNqIq22wnvyvFO8x1lcWt9rXOGgmQvrJP7OYQ57TCD7+pclhGxyHhu9ggByYv1ObDnSEmAZlitXcjVkwhI5zSMWoBFo/4KZVKYtJ2dB5Ty0OtGc4DIut3ByG4L5divOukU+jOuexW/8ttV0oxW93kT0vrCVABtMRWGSfSy6A0t3hr2QuewP0ctShvX2eSG6yXM8v6+B+gLMRHKuOU/TYALQo+evNGJpLj7UIYMqfG+lsyNSuHpo5u1vWmwSm8wJxNHuT4GjhXEcQPb7x4Og6lQIFq7J0qmbLX+HtFdoWW5332ajQYvZNRzX5SsIXRW7/wW2GXLtCMwPsb9o3sGrb1gkKScL6OMXmaT0H3rORj1jZJepwsh3tp8cw85eEpgbyiO9YFKQDIULAwTj4mzkhBr21L/C0cwTXV+8PTESWAZeMJ1slPxzNtiC1uJM1PFSi1jLw4zpbvsJ1uoI5FcB8UaJOT0hoAAAbYQZs0SahBbJlMCEv/6nUPnzi+jgpMpdwoIfUKkISb1wK2PwAAAwGD2pgJIPxd0EjkouBjHLu8kMchQdBkEtOWHNdNWcQCS2mKI1BTrDUHgk5LHUIBSUbsx1IlxIetbR4nDJzaMUEHyE+2Zl74+E2egC63pJlstbfdyZt7IU6WqbC1ZgbsOIZUcGCUwzV1jzLohwYQLhSdyMzPwyCMDIxEHo4RzwIDVe2+KZ6tCGFzTo/IQRJ/OkldxEFJqmrxeRc8lnWBAwJhR9C+OXIg2tef45OF72dUKOD91ah6YZvL/F2hazADqHoAqxiRqN6bCN4I7Nnnzv93Fwb0yn++0xd2dxuss31nLHPVmpt2EVTBkR+y2BXIPv6wZbaN+cjtT9ZuVHq6ybO8tP1P3+lllqzq33HVtiK2ubb0vWIYf0KyE6YFKL6EjKvSPB8oBN/DYk0Kvf8LnyARXzCqATpS9x59Y2Sf/xqt338f28a4HQZXoOimkliSz25Up+E+J4zDc0NOFwAfoOwCs0qaglY6xKGWH38NvVe0zOPhTk96Ti7oqBNCvCxl/fhpk2MUqxciYo6wKc4kATE+Cj9mlN9hvrNAYJ69o07sNgd/UQqYfPFKiP8uYzaiaI+7wyg6OfLo0XjKWlA34bVMpTnfuerDIow0vZEUg0QgJah4cZzBqZtjz7ud+jWfsNu09Ea5tXxEOsw5Dlrd23GgJc7VMGh8ElEYMfJBQ+hIhPpAZRR49af3akWBdd3hcQ37EDZPWQidUWsmhbY7gh3Q7ba6GrimmFlmzaNqROhAMSMjuqXbudkc3lkwAquKdJNAvq6GYG4El5JXniiKqiIfBX5RvGf9N7qeYW/A82RG3ApkT92G4oqooB4Ep4LeROfEoDgYlxnvHf99Pd3m7YwZXOjo1SBV4hwhNTW8wgNh2jcuw6AY1YxniKKJrzFSZLHYqqUkgcHrQ2yoISzMZM02CambE52//ka1Q353/nX4xCBXGxrw1OgTX/3w+5Bl6JpwrXrqBlh9MPyMS3ruI/6B5oFJ7OxuDneUJrGgWrZ7xB0SGAjEKbMJF5zknqi28okbAQOX+KuNhvDgjmfhcRFiNVe+ZJrb6wRQnFxFEXD/As15+FTCN2SPOW/8C520Bo2J1C0ivhkBM8PGHyMg6+4bgXEQ0XffdmklcNwOAmfNkfcvyYaqnCWVwlPCaUWBIya36eMRFg+e/QIZavue5OXQtl+VyBtkiWe1svIVhCNRUZ3sUvAnh8ZgnS3hefbn3Jxicb77N6tpVpH8gZbqww6M7MxTz9tTPCy82+LTVDYqSOD/fr5JrDjWdsnILGzsGH0KXlLCC3Bxk0xWNvHQsjRRN/oJI1EFIJ8GYzJ09HIRXz0ZEr0bzigNxxOWL4SmnCRwOa59lBXnauh9JfyyyYp7Ti2zp0ABJ24M0BxWLp9UMFW7a2omHZiQ95uk8FqjKjY2Hoohf11SdDyK8QydRFEaIBy6PpwxA604QjpS2Sqf96Dy/tIE1Mu1iO11lE4mHypC72G/voFVZv4n1MNNCd20sPsi3eRFItwBUWEdNKqQX73HDqUKEaG9bjB/0bhFGXmXWrYJFNvHPVzWTH53i3sq0RCt4Q46/+Uw3KDqdknBVu5fqfv3k/+zQJOfxbEZl4h1u9RzErxMyk6EThKLgM8RwS9hhudAR6Ugt4kvPvonTEfwjUdjuPia7u5OAXVzOHiz1itkOxaqEMCmfk+o9iGXo5nKw4jT6VMCcAC2l1cDVAXhIO4eyOa9o7BJPWRhkw0HiEw4d8518bQGcIiIw2po5Iu95NxlYIP7U9qwv5TOuAeBf4rDCdthiVjCfV20DhxdhJ744YOwRbPGyJq0aldXLAzzf1RMnmCskA0Ol/7qhmtFkWgn8uKVfDkaYviOMekxQOSmMVsZK7CJBiRzYlpT5kDLT8u1Zf7umv5WVYQtuXb19PvZTHBmQy7Rb5tETcuGX/IvWVns9krD9ueZEVNhfmasZOCvsa4VTxwNeJRGc5wqFlOVdlvpwFOKTpFOAWTnGMLWQkN0D0t1C57prvMKJPCW6TXEkf0FXBzuQLlqd3+HGYa1viG7keSU4HRTVN1XrqvSe//3dnFGsBORFelj9cUJnqB4AVYdpTXARN0oSb30W0/gFatHoLp6fGAry5ku3xDa3ozSGJKjWRE1PLxiahF1wgIPCbdAGh80/3l9swQ+Rs/8dsWF4sDaRXreUc497w+rdnkjIZThyKhq11twQbVbmm7kglvBvDnes5nTwZ7F/+N5xBzdolvf36CQ1B+zOlOozDj5Q4RESOnyfX2WALnsvBwJjU4cxBOldau1MDOAAAAGHkGfUkUVLCH//BkiT+6DfUkf1ykrwTHP/YnS4vWr6YL4yzUmIAaqUPv/9xs4++Au8hmvB1YTpDr5Nm++i3NE0HO1wWAq6xKV3JMjOE/wR/g5172fYS05cqIAux++gecU3RXbHp619qK8ivxOJLoKdiiepBXexU+7BQrOU2BAEZhQl01+XHetR77oBeUxvdOvnF8MVTM5JNnkxRixPyTsY1W38WKGGBMfkVKOKBvwznZ1vhaNHHOEZzkKXBXuYJ78YyaYdDccX6K/k9mrVkm/UxtbRt2IZullW5J/ValYff97tgEHizzO/sX87I9ukl4SoYZ+lFXqEvRAly0MlZG6jKPdOWF8PdkzIk/PZq7D5A5oSUaDrKW+gbmbUw1/4NGYDKfra5UhdsJ58Onl77DFz42fgP+23Ac2n9SYFaJW+ze9DnVgoi8DTTrO/L806KWCjgbEVpbhmMAgMCjArveVGKCIrEuqDYcJ77gOEC8vaJzwnwtUTc4r/YuV4yS/vpGtpsh3VXQOoQyVlBZOsKMw/rQ9X4/VdbnbV28P5utQLa+ZkxC5KoghnA+71bju+9wat6Fi7GAaOl0JYtX8Sd73xU0GO8/1HwySspUlxX5GrzSO/MxKpyrFhiXBgaD9i49yIDi94DgA94dmN+7arlZom4iZF0ZciuM4oFVCFQdhIDo8277hf47YC2mVX2SVHESzuXwZ47OkmBn7tEmsr52yAVohRbtJ9b8ltaWzDWeCej3OxNq0F0XjC7ruargIy1iATmEyphWplGtttEzyKpClvXg+H38avV5gxICvt6q+usdiCdUiAayz7AqYlfVrnsuoEnjjFJxmNYbIwq3qryUypsTpIhTEYQ51Tzz8HX2Dk7uQOIY2xwAknvBc3zI2+JKfDdwhxuQSFh4/d9ErirheASnXnbxDoLZL4ML8GytCceGhzNio37n1qy15R3A9P2HD6Ey4brpYpiXNkjUnLAX74YehyesOj5tIEhJK4183VLIHLSid6BeS2Wp74yZjyQR6IB7Z8cpesXp5xNWbBfBsAvh+Ak/nUSx7Fknv6GEHkpSVfmcKn6+BV/52tr+1PVdPWk3gVywIG9d9QbKLgYrX1RbemRGH+Ezm3gkxBuwJ325ve3gBNWfBxhEwG+DdhK4Lz1+KXPmX7wtjUNswA3fnvD0TrYq9sphASFwQkJb/yJavVP37693NYupE0zsaVGRYif9vdFei8hs+qQokqbPJwvdUvuEsv4ZekIw7ntQKQBIdzapLm3a5qbEUjnLmdfkVOcYxLtWosIpQx00TK2DeVsjM0jKt2LYtgkuse+VGnBL2osyCCSi8zbJqGzhbKN69D0AoHgknqiri3MlDOlCI68V5322eazjUWNUGFgDZsdL2yvD7J6kQ6NRqFdUzsP2itNyAFnnB4PuX9XSNhIHdmWHSKkEFub8LOO/FjXo+68KxvwKzXjzJAYnRI65rU9b1MD15bUiliGuZ+nKGGmIWcAn3wD91nEoxmepcD3EUBEIyroSexcrH2hwjOCHHE0UVk0KpHhdg8ysE6Ww1lbr01PLGqTzuWe/Ify5QqBOXuYBz4VkMGnBi6iUeRxjTDjQV/mKWFuNmfxFCJZbHBn7Er4CJ9+AdAWh2zYvBHvl6lxwYclrW+nzIhvZJjHZwVdWWDPmpyLkSYJQYlytJHzIJ2SV/XH1ZoD5gCuuZy9Ef6ImPti/JB5cEWewTgz+suM0gfV0PJoRC2npa8tK+9GyLdwWdGIZFaqCsRrI+rUlJlgrZbRPgJK5Bqmm2kIG8341mC+KOnUp9fu4DNnV357BjmnpgNCdIQXU/cAT2OD0o8uZ3V5edoGoVfWY9klnHjEj6aaeOeovlfTnAmnpLFmZRp6xmSEahITyyNdYkRx0VsFyUsw8nSjn215+kjUvLtQY8xYKBP9xVT2S7rz4rKEJNdLRZxbPXe/lq0KUleqAi4ufphcmAMm+adX7Uc4VNJXbMfq4iGVJ8hR4Mxxzg6gcTLIP2KqqpZzn4Sa6VyEKYm7tTtyRQW8deghcJcNEAtGTGGCfklldwoy3fRY7LXe6BFQEWIOezRIn3CGYIrjjPwQAAA2sBn3F0Qp/+ZVgDFy8p9tBK3hm/vDXq0IKply5np/pKGunokUU7KPkNZqtExo+H3eDiDdfTcmoSfMbb1vp3WZ/vqVj70jtPJ2H0ANwMHZXJnWtBT9iJNFUQ06/c5beqyzfKkKE+hoYNqovRsD5E8lqgv8dSxVw/6pMnIyiDo3be74xbrLp7XRI177ORl9mxxCA5Y8jUMJ0rOQWmCBIAO4FzhzArrBuZ8iqwCnqhEkg2FjwsZJ9bK2H7riuBHoJ1wzdHMyLLihKeSWonkRIbaVk+XWHzP74ZgVrTvHlsZnL1K+UjaxmOtZQjGLU6izkcvEuefh6zL4Gez26NvAF6mVshxOqTPD2ykr3SD12hL6AcDES5zzDmkUXh59XWtz6AukijbrhvFa+2Ig88LWalTSAln/on3AvUzRsGU70yyy53PSFr/AN5S/4EdXZTIe10y8skEm+cu9TZB5k0e0QeP7H5ck5+2IhsIQm966zUQA3Xi0+1olrR6TNhQDuAu5I2mnE5yjMREIUk5wX/YryOtLhyJa12KZjQbEyBVgkQVsxuHrFfg2u5GXZPHFUvMz71fBjDgkIVF4dKG3xfhddwbrZSmrlLGsg7Fgzyog4VJFDvJRxS2YH41/EIC8nhG2X6PwjGpQJ3ht82cJ/oH0gm+PvnsiQr64ziZLFm+0aYOJRKZRGdCjapKVGiRdA/v/lUVVQ9+GXFdfC8u/qWmCMDT0l+1rLvwAFbJk7BQFDdOnrxotFAfLz+JXJ8xGgK/ypllXUBpE29SBtsIPTNyl6IqvPqCquHYQWRTVR5AVQT3gOzdly/E7IpgklZdQU9TOuJzspPlPQBsmqGNpQlrP7emjvucCTMxZcXiEcJvjJ3+3QihwsOCz5VS0NDpdbv4HHwtEIZ4q3oLg485mQRgT83xD8sFYgwLi0bR1bQ98VW2H25UX9VDhI9+IwsRgUg+SVMlwGhBY8Wtb7OtdQ5d7ruNMdl09qiR5IXICFE//GLySJU6qKGZ42kYrdslqPIc1HFh4VFOPEgHDndHWeRc6u4/a4b7hxRww6gsKU1nYqXG5EIW0bONfjnFIc62U0/IACa4ofEIGrsa/RVA87uBP+fqtii3iP3B7TGRUZYaFUuc7wBRipxc7ugOjrnUujbKjN7+hN6oU4+IClusc/+DgAABFsBn3NqQr/2BLNc3Azw3ZkZG5463PXONHl+TgCwFiJkEAeD4235sMYtbHmQYp5sAXB9uXMcylhQ5bN6Hz+qklaO5UDSUZChUpsxeW40eWp46W83+CAOQ3pRbECY+QYNY1lI+90dfFUbre3yL488RgSZXF1+SjPHbmbwwDyTMv2IQRBBpl1Q9Qeiv4goU0Cf4mYlPLBX/oW2sMomC0AHy90zNs/c9Q+njndXmDaqQ3UddrhDujcfkbg7qdesKFcKlOykc7CtSCYjLdpkgzAF+EqJci+1eGVXvtolBXlK5li9VIv7s6Y7kTHC2ZExNeJjhmAFj3pb7BL5f4+pPT6jNP3PQwn0G2KbUn5y7O4IndQtd06PnLFMeVbcfYtsvkme31uKyc5N2EoXb5ho8R1qt73f2c71+hGe9k3JgFfo1mQNpUl1zduqtIFoH2Hn2fU85RL2fQKywQO+VoqtmXhyj5JEUO4lwSG5ay3qanLoZ8NZumSDD77H8r8NZhKgmLE1bqeNtqes06GZshrgucqH1Lo5dtQVf0k2HAzyFiuhIKnStIE1rStXTSRwDY3ibReHmW/eHrgfhYhtF4ItpoCcPncSTeKu6dCmbnbKLtiou5dCq0eF6Mxzm+GnmDr3kYO7HrluESPcCOOG3P4Beug3/Vgf7Wk1Xq3xARWk5E53mXy4H6x4XYD3m53ND/Z5sw/YBe7uASywkovTZIuC7muROEtf/BjadR7u1so+f5zwx8gNs3LUMFwXSDcyrJEWifBVxgxUrq89ThjrAv0w4zM9UYkyayRC76puvkDR90xrAN2LjksiyKQxT18AZWLbPoLIMkS1/DHx5bUoL41gKPyXMh9iQc8wzz1R1qFbJAVIGhxAz3B4njl+0xYNk2WSo04C/B06+Qus9Q7XgMIboxOYHETK2PdjEUQ150cUj4deeatjXiRFkFhixynIP66Oxtb1ZmmQVrf9bvjUgOcfvwIP7QKQBy6lc4QXL8N5pHQjDIATKV8xer+eiDjUrGmv8298ucZbobYKQHumfeBwExF1/Xa9CDqHgK3h9VR0cBiwQaeA5y185wm5oSI29tkkWmCtLGfNWycztdhojOQrEKaoBU6MWCOc+JwndC6DU8x2tpk9JsqPMFeSu6yMwzslY61nG1OsqU3KG0s+KZiGzLN+FvaGJ2IweESJUdOpFoTA1XzUNDTtE+mTk71pNH9x0RKKT/wgBMsAijBkd4glPlo88w3+KzuOeVZyfPxNjkLe5J7zmpQCHvn5jzUn0sJ7Pkvm08Dn/IcG/TIsW6M2cygRDsbJbcsxbXgKK/2iPPUDD8BSjwrJz2apx/ZjYFJx+FZt0XsI6NlcRY1CyVK7q4TiVq2+tCOckLeiH0s/IZASTiAeDxwzKS1AEu1tlx3ceasq2ppUhYm4ADHjdfPJrjovIcxIkdTkM1rTtXDpVN3QLsZXzuOaTm7tEkhDnKUbaQ1Aomb4FDzWEptjCzkLxwAABotBm3hJqEFsmUwI7/u7wi/Qjcff1kC0iC4fhm6+TBt8+OcPUBzfPi3WPzQ7yu8gZyVGTszdrCTgdWvGuBw8n/Y2Dnc1lPdY6ltBkWyXlb1bFhoLTrrFrog9S8Nsilkt9vo7yfLY3acOpZLycgtYQXvGFxxbNDhiBMQFSO5P4n4j4r39ZxFK30nMF40IXEe4YcwY0/9aRFzJZ0MX9UdvFLOvarEugJZPDzcXfma6Qsgg7TV8JenoEalSlp23LKCVby3VsG3ouFFhkEUkUJHmP7NOEM977Q+a3JyGxu6NA3Swsb80frZrOSLbqmwUbbsPUTY5pW9h/UemBTaA5l4pwBBwb7rDJ9n3PvLhGnSElQv6LfsoVdE6eLxqVvLa1OW7rTWl50TcvxWk5kyDWfCYmlRuXzpv9hFJ1zF8VhiwuaDAcHLp3OkIlJLTmm1zIA0Nk7Lcbm9avjfMALwcNjemZQAXmGsB7Z0CNu3Y/F9z+Uvqew7TB9m9NUftPQ2gUnycfLw4vNFqbtjAIrQL8pxLlYazyAtO4UyfeJwQO1hrp37+1wyuhNnySR75OJU/kFEqoQOJNHB1/7eGpS6G4skZVKaGzmO4NQoIJbYlWAKuC4vPoWmvQAENQPxrhtmDqGMiRmjJ4nWMbQl9aHfkvl1UEQn46j820OIWhVN5geMGXYOD0QCz/KLOnSMVz2XfcXZW+CAh3S00mrze3ZHiyxHlKWkH5VnSwGfNTTN6/Ta32/iZVXUuxu1AaohXptzJf6Tg19YbTdyfAhwvp8Y5XlF2ta8EREin9fm/M1BRvjn+XrUW9fZVDgkw95adqPVJWarl5vJoIKlk2tuaPE6teIliA6klIX+mmzh93h8TZ1FfK6KzqFypVg0Dji8Eqo1TTZdQ3SUuUiQPejkB90aCu23EBeTVPYBlJsd0Jt1tTbEZpmGbM1qYSrlG528vslATZrTZt0qWr6wLfwm1v0IenH+yK14d98RQuQVDHsay8lb56usbCfIDF8FZncK/I1taJyEhgphMvCyv9aK6o+PM/2/GkfgmSK+LifmsdnfMv+2NJXE5pLBUGEOvBLPxjS1q210+sQRNPSOFtCmKywXqrtLrW3l63MuTE8PnR/tnaWj8IFOMAgeqhmt6bV/dwS/eHe3uSYGi6zeh1fZU4q0+H+RLqy4xyun8D3nM3+/ScW3q4lPsNYPaNJUtOFTS9/NKjUkRnT75/+poob8I21FaZw4Y1nwrm+4RdOxHwttVl8VJHUXuKxvxec1BaBtw3Dkl5mCXKb83Kt3RrlarwW89fmQX3DHaOCLgaR6ZVWYNw3uW1XF/Wc84xJqM84NQOughsHyUcb9ER6EUO0qgOg/zGbmJOqkkL7hTzkwca1Fl7rCXTrfAAH9kUkQDgoYz5FHeerdUZyPiUIYOJN5ODVPmhp3/0CucLnij4ow3BbQOXfeXazQkC7Lo+xVeTyQry1QPNDFMf8ZNPGybWQ6fpllNe4VyeJnhdZ2CbBiQAKcZFbERzkPqc5qM8c893YeLx/0O/h7bPhb1Iy7nO6dq/mH/KhSedbDf7qA52sWAAKynIgkb3vIOPcoRGNFtYFjeq5b35KqtX5B/FTkleVohGD4IbQHEHGeSP2LUhrEXHdX1lwOWnz3PdqZo9DhhperiOebB/q3ydnGccSZI2PtsqHjM9NEAZizr/I8J5yWrMlNADKMjLD8IX8if/JHXG50MlXxATxWFt6yq9Uj5+e7cXVwMr44lDIZL/+Utpnh3qMLJJ+MuHqe4A09zW+GOEPj3MrrbQZ2NqcaRbldbrstSU4bbutJZIfDElgSVG+bYkUyafJ0ZA8j/jDq179L6yoTnCev3L2UPM4x0/Jd3vJ9764hG7bjG1HhSmWftEWIzsMtAQA7+xdXy3+f8ir+r5Cmd+tRXifDPwcuIjxcKqytqJpjVSMgzAtLKA54y7XSuf/1/b8b0UBJli71pXLPriPRRBzKrO5GZQo0gCMe3n/x/KbZTDE73lVK54kh9bHgiuGjeWDlS4w204zQH77z/HpJQ7RXxHkZmmNqBOc6P95hhjloYzxEVrKLUjZ51iEFbDpvhFMtjhJMG6J62ZdN8V9pH2M5JzlnYfGhsmbBzAlTUybIna1dte69SFRoa1x7/MhB/HqCEJ9sz13NsiuJ4qDt8m7cADMhdvAKc8kLDKY3HOVArSp3oyLaaZbH8eC4uLvHa0TKqQDJehhyc9Sk3+RMLVCq5AAAIzUGflkUVLCv/8Mpzt3+5ADzCVcjwFJOq+pKGsv7FWU6gm4Be/bGXjl69iTsI3KmLDFg3JwoBcdJIw7fWYkWCFWDVHsX/0ilAglqKW3ctc6ST/huVGo+hJw9A5C8TH9RkthhBYBNfiRaXVFkaKfWj7iyAADsrdBxJuAVu/oWLV4xHiIHssp/D9IKfSZi1p+Zf0nRWa4XrPiC5A3FYmqtVLfFvZg/Dvj9+44DLlAwwSKctO8TV/vOLXZknWWIL1TYiG/ivu+atWVKNBYcd3V485x1mNMU4YsGrWY64RDwRm/bi3M9tmOcjt5QDSj/29TeLAQ1zqS5fknOMoGnjLdDv520tYb1/kQ4ibtlZhtNEY1XwV9OnY9NJotgNXDuiFI9ImRHv/GXlYNorM7RYaiSIUWguDEENiCvmdI8F5sEoqAOZk7vPdMhU+ZI9GTmAvxBkNws3yLiapdplI8HFmEvKkjDp578wGgoi7oPFVF7WkV5J/JPSySDrwjsi1s9SqH3lWqLC/6JDoa/hxw1+URvloC9joQmL3d+EOGYdo6zHJww7cTLwpLIa9uBIFnPnuMFSG+UeKdlspkZZt0qdz3Xan/2qFyHMuuD9lYHaxBs7Q7tqlSHPlNYf3+J8DD2w9hnn53JL1Q6fhnDkh7Y0DOTw67sfTpi7Pfk+xg/8lC6oHDw6Hbkh5xDqQFZ/LIbnXpBzS4r8Twv/g8fGnlBpeeFc03W4EReSs1qMHMHcrx9kWzmLvqrhAUUaMIXay9R4tJDCrdGxG1QZuUVziPVQT31AGTUGgF/Y54eybLpTkyTb6xQSF2eQsaW0Ziks4AaAHUQaKNkZXWj1oPH/HtGjGLd0+/h7/1lpJDvmyhd6AV2QVtaT/lZbjzoiezXy3b7hpgY/+1lkRy1XMA0RNDZWXjNpfR7X+vM5CdsYmcl1z+blyhaIbmRj8zGuUWb9xyMWNIqXdo/aLQ1MnoHCoS5D9inp9Z4AclUupHP1YXQD5wQQr88iGFLQfeQv0otp78JRYVzIWh4FbW7d2DqGxQEAC0lyyVoB+JvkxzU2QUTVVWy5GWwFKGIw2lItD/l2lzL9Jf1Cs+ykaQZP10vxmJ4LzfAKu3tN127GfA/Fme+dxE+o0NM3C/cVQ2Ne3zG2Ctr18hOCTnkKl37t/MeCjGH+jxTPyEY4eL306LqBdKbeyJ9tDWwbmMWq21xEvC+mm/KAuDwHPQR/xssT8vjmDFCe5hz7ZlFyo7DNE+Um21nFbXFq9NVxuerDVkD/2A2Y5BHQeFxIyeH5vZlFezUZXVgjLErPMWMV1wTphRm0iB/3a8TdcJrMEF1rFVmR9Ebk3dzwk4Q1jpkvYZ6DYWLBIEBXX36YwtOIpXzh8lKIwDviePumJu7H4kznOB+7Xapl3OhfWgbUXf7wAMktGEyEpYOP7fKwiX3ALdl3MavtES/d0YjGvgaeYl3nDwaHk47urKJZEnidumiiEVD0x3uaNQMmqD3YvlkYCoRhc351ZmKv7JD1GxnYoVKLqdkeEh7zAY7W4SlIEHm8QWF4tdRrYgm/r2iZWIDLBcJMjNfW+rmjZh3Nx6fBWrPEX2jK3VmTVHB8eao1k4doJOtV8npXKxYXLvKPpSENrxyx8P+TxlYY0iFdukzMdQX0Efs1M2oGD+ETGIvW7d6g9wK83GVsYT4GuD83uTAuLmSz32WiNhmGFQnO2l5Op181pMj91Wmp3mqxDoHv0a7/j/tpOVSRMfggHZafCsdjppYWPiNp0XXXO6dpjmsIprNeKwVBLdDvX+ng5nup2IOEC1OV0NwAimebN8mdsGpu3gH11Pku4WE1B/0cHMDl3+QPq5iOceJ8MC3CvFK0qy72BhxPaeE9oNUOuX2pG1DWMGiTOM+eksNVDQNGULjvzNcWVtEXQQq+wTy0zdsVt4NdKopDKubSLenOSp540nZW/ApypQp6sQmedZecDwBhGR/DzjUKJNqSlQXwf3zxcCzTmIg6Pweoeb4Oye/nyt0OF3zyv9IEmG1JQbUwJKoph24GQjqEB2VCv+uymYOjqYuKlWPN7wXmnVqBxLs4kevMlWarxJ9s9cuQCSoEBFznkmITwYsDGrfUhnNKGYyWxXMOb5WvS3QwRMAwV1B5TiCm9EPXRi7Ilt2HS4kS6X6Py8Owwj5w4A3gWj8DIzPgLiWvDib+BAkdThYPj8uQ7+Qgby1euvsZBFk4yP8IU8zXxRhIWP9Q6Eg+1JbRF6/s3ij2H4Vl+ldErIXIf8TItGa2TWTqsy7zifntmdzFVXoqwZtsmQmyzAwaMq0i/OOHv7Jmm7CtI/13rzNZ0whaPf76TlcT499ymvJAO2/vDf+1l2lhIABMja+Z0M6UJq5sN9sBmzU5lkV1kzt8++MZg/oKPC/YsYT8LIHh/kt2YFHe101ofWLTMMvHEh45D20vNO50KrnnAMgdETPL2QfV+AZSoavVjE2bjDsmUa8qFc0EhtSSD2rjVe6Hs5ZiSWEQxRGYyaGy/Qq+c8eFVUudboThNtJ+wJwoYX2FFZtNWKdzsAmDpqOW/riCL/GPEuYZgigJx35Q1wZSOzonozAgCxnT76bkzjGTYHDVw1ot/n4z04D4bdq12YyO7nsEN6VkQC0MNTWW6WKhFyp0Cc2QxWVcZfMQ/pzMxvXVBYNe3MFyZcYFmhyTli49oQI98IaKcEF+9rcIvgZxq8Vso2X7fxasHWa2heA9g4Yd32jvxFlH+Qn7lO0so6Us4mEzwgZxwDsAhn2h7BBmZO9RxzyOjprv1GtC8Zilir3a1rJ38Niy183I7c7YRyf0Dk2d/t2DD6b0ZMCJabj7n/qIT0KkhsMWAuBOE2/zsVnSnellFIKZXdZCP0cmpq/lJX4u6HGKAlWDP/saPZqWgU0M+ADQiuBVa9FOfaAKiCZeeKZko6VD1ZuWCbnw6ZDvmQZB2V4Rcj39jsRPNepw3y2xcc8gplL0D8vxkfmQSzhPqUBhF3IWZa/qRQodBmJIYesu+AAABaIBn7V0Ql/8y+2puJFrjTtYjLWv/o8RvLq6HViG3KPbjk1w5aEcNBubX1rTdoKh6HYmzIh8JgCaEJ2BELDp/MjvSVUPFQeEcp+y7+63EVBY9G9EtmZ0tBe21l4d76xFLoyPogBw/OvX64XwmbmFTvn7IeBpjrfGF7OPuNhBrO/eWx5gukrIjwwFKqaGSareIV7XN0akvy8sKGO4Zzv6BYd4wuCn85MgOxQvqc+RcsNXlXuT4wuaSXMjXbaYaliqAuVMblf5p2BpBmF9gGZXTjE/V/jlnTTX6fPUIHcVHpAOkauyxANX0fiHbDoSA0FdobPemulZlax5fvSGA3DOyV5UBHlgGesGGOmd77jhlpRD32cEYbXVgI9oI+v1wPbC520C/t/3+7lYTdemjGL30m6VgwBuSGFVNizrmNdJc0mzyifh7qiK9oaKM2YQSSYamlli3FS2+7FKRgh9nhBbONX3OmAsJvMKaAjgvnqS6jnw+UsgaOKfmDEU9DzFltRZxSkveDq2x0q+XrqY9bCCvbSluNazW3wQry3ap7Z0Nl9Lj57YrtJkWF+4OzEQc5y2fu9F9+K1sktIv0KPxEIGQ1AXTAXMjWMhIM1TGh9O4OLOgcv1ZMxNd5Ukw5gNCUD5H6Cfm6eUrZrp70KmpoJDk4qOuhrI0kT+7srXPolRGrY+GXKcW9SK5HHaclMgngz8tZUbck4nxjr9q1XqNMU1xoo2klODdgB6g7a/tQThATIr3Hv9ivPG39AMZgukNAY6Z3SNQFMTBaV2TFnbz26Xj5D9dg86WlQMtTvXQtddwhqDsTEVt+tpFPwEmKZhAlJO+SxbdhrgSjiazUTZHyyX1Y5diplky3osrQK8mgcaNanRcmCfe2arEoXmYAy0X0c/6AQ4luXDRDqSs0C6JTFfJvo0UZMONnUbh9yp0WB2N2w4DL5vK5sv2LAHf7GvmnlC50vGpeN/VAbbDHtzvWPhD985CFVr5F9yi6itGZoQRF/WB+HO44GUwM/l8Seh4XSQeY4Z9cguANFoVMGEQzQ1Su0wMLIdPcPqb3dAM3ghTFzmJdKONG8WOGfyYrRaMuqM6JakLqjVao4+DgjEaWF90XSpE75FGVHLfRsFpfthEw1rObny1b5mkEtbnCT+DmOmtqVxB5264bByTBTfXF9iowIFKjZNG1vg6Ftb9B3lzsjhPhwhQzg0nd6uiSaPUDzqCLXJCie/JaeL8F5nrpPgW2oCiwURnqCl6zpgE+n0eqohoSTRRnIj5MqXOenFyUJyKdo7RZfAp3kn/qUqbcfTEC3KA1txIa3OaV16LID6UcZC2ZcRD8KPOq7ICwTTCfsRhNQSsgWXTp6r6MzMSxgl048M0+x0n8wYOWdY1WqbOi2R2AuXnc/tBPH040L6BY3YTg0RIfi80v/Ku9zCfZ1NIm9mmTV8c+jmkyf5LqF3EcUcuxKPaDJe4yLFEz9/NRUeA/Z4iM7RWRCULbOmwka447xy2y2BsMEdqk+HX1SD02lOq9wZ2lSEO0XqEx7VnODo8SWzlk7Sebn+OnCpGP8Iva29Bt4cj9qoFuKHXQaKgCf4o1tRzGDs1zpDn0UVfgVLCtOWQTwRVdgOjb1/a/QvIVAk8wqEsuPydcJjn9l2jii10Nhsfei5THbrm7pZorhK1s7IImKhlO1VwzQY4k628IQFWreXw+RKVyH1gyS2mypgQ7PYoCD2KVXnzZ3RHj4QhZ/Z1wjSl8sSkbKB138xxZcCn88DAMmUzymM6wvrdURPolLtaFfnSiXRdTcRCUosh22Ahgd2/nciS9waBKB5MBlUE2GUBd3V6Nb+oZ+DWFtV1GkBc04uTfa7Zlrvi6iS8vXSOH1j3xBiNm4Z4MlgeWXZu3Kw5u6/rte4nDUo/GKbWMU6tV3oLOfJFNNzLJKUmkSycQAABFsBn7dqQr/0pizsRv9C53yK/tZi1sdkrQAjxn+18JTw10nuX4CiXQpRnGeFvhjBdeD9BK3eO30T2xOQsKIBzGroONCT6r2TFy65mziFROt9c1TAlbgfSPvdoemGuZC+VrJz4+DyKtlk9cU4BJ1SgqmiBnr8yTdXnfR1DZgdw2mSvkBbNlzVKH0hbdLFzCR+6T/GaInKQtRLyJxIu2U8toPSspQ3wG9lm4hpFjBvP5BpHDPfse4VIdvv9AarmZG9oyRtbL7GwQYeGXRl3yFXkGp+PXhjhdex6d0+i8o/lthAYXb4/XEJd6VpBpy+8cAN1UU78ap2XLnAeqVTZbtx7uoEFVSNZLo5QOHmcEqoJzqBJSrcG4euTvPmyuFJzHRy/hVmAFrYlogOjgxp7CNFJ1ok2CWBQBTn+PtKOkWqAmqVj7KrRzavauUiYAtSyELO5jr61fIn5rUEXUG0ckYk7+pQte+1+GQAwEj+ilvJJiu+NkdG72uLGS3Qx5TpjYMzJufGLFMAs+3TKmxg2e/dQwl2Jd43Gxhiu1BHvRU4IsDPB491CfS74+D1k8dTOH+FUIAgZXOjF6erSZVWq+LsbVNdJu22JfGWkHHkAz80FGJerHsYHqPohnRZjDDNompt0h/IgVNTYcuIZCSXtrNBIulaVwndQeBWkN32Tb8JfJkWLJXcmc++KMe7NrgvugVRdCUqRQTEdaOPhbl4TuOyYw7cvk4S/EHxY/EeOOWdM6BuBkze+/VVFAoRvaWRYoSS93xKri9MIfqrHJ4F0wBGBwQsHejZwYrWhdx01WytfsZ+7TvJgAzK50Bvqb7kd+ndDd6/55qKlFR4xDrVhrjzLV5F8s6zI1MEyCz7Hxj0jVhl/1IxtU7qFNx3HzmMdxIs66OOGs163osf7Fki5u/vyLDug+kUl7cQbPvQ0TvdTTUHrwhafMEYnvQVd8CG6xFrKNCQinad32AcnPvwwZMI0tIYLaeWEg6CDvYShuEhXFmhCa+JaEPWhkr6aphspl3VznKld0DacXP45h4sNGE8GI32jTi2/C/xaPZLTAUFRVDP9bvdyAfwPFrl3fjvP4RwdgAD6+ukBd1H2mPWT8Hd0ywRmiOHJGPWgUsPVH3s4OPug97YcNuZCUJQmdqkLtak3A5URjzL/oiM/wQK3mni+qZNtoqf7iCTgjqWM6jn4TKRl9ANPMTxqXnBnx+hZG8z2fWyzSXViMsaW76qbOsfWeAUqH5LcanJ+5IaMFJSng5+codzsOt8HLlsGGuEBjr0Y2+jR5wUQ1wgSbcVi+Jy2ZhIWPsZl51KA6x4JqvNxiq3oew5nsrmvluhnGgh7r4bH+S9jFYamsKr2AOTRj69uFh1FcoDZ1wZtel44RLuoW+p00ukwSTTFU39asNMCoN76ZBdxmCZmsD4xpxEoFJL0+6ieVL4mnI9+0otS8QIj4xAGh1U3KKibT+hKcDGd+WV3/BekpJRNfkOzCZnFQAABeZBm7lJqEFsmUwIQ//FvBwGcZ8QFzky7fzoQN75fX9ld3L3WZ8xaJmDgHP4ZaPuk6U/TwyhiwEGhXuuiSOC+FYsQBNcpZjq19b763SAjI3BBVQ1/TxzKAQunorwPPNN+znP/ehd354vZJwSsbmAE5Rjm3oMrRvuaImT2DIel0pWjrbgFQMjfX5HOzDi4cANCoPcgJJSsMffX4GTOCsA10dpz5WEzk5F0PdJUfJejc1s8kVU0zHndr8+lfVTJTvJ7MXd4/++QqQoXHY/1wv1a9m0iyh1bhOuSQQ2Y082gBCFQBzbxnYBiX/lkxiKfC9Kf4M7E47B+LKx+ac6i7RLguzdVetEb/002IBXf6V3QpM0/+Y0e2inyCfx5ljB4q62RyFAo44RWIoAf5vKABh+1wO9u8P6jmhTjbQnPJo4702G3S1ZVUnsn7ym7STEooe8FbizdzwMOapDDXo4pGwaeTiy5QUl1tFpeY0hdhBBHk3HVbUMTQNZ/Zu83hpHCcNWhA3WoYhlawU1YzOtOfMDYxOU+1HHZkYBbU6+qhjT/ZvZrznZThCEnQx7NdtzXnAYr46zCKeDTrcSdKLHNBkmtt3HHXytwhpneuxNh8ulYsYwo8ln4I8VTBP3LqNYGqFpKfktZMvqyu7PxDhhq6AMLcxmd1nQcP+tZV77hOVVXkFMeeyL5DYXQNTmEusxXke7gCozpDVxzVyyQLbz3C749It5eEDjNhB4wf0cuOVbixtKE+g1Kuue5NCg8flwvMFPr4KgGZ1ZUlZgtSMdo00lQXcrQDinqM3mNU4o8gLdAV+JvSbphJkSgmRti65Zi/+oK9y1iPrJkfndK8dHpXCgiSxonBD7q52kL3rKxJJDhs2holndlhSamVLzV5/rBu5+N38j2UKmZZEOS5AHY7b2Ox6+ZxEdnWqnVgownMcggyZYzEKSmWpCBYO6kXOJdI42o0bYr9DqY8I79f6bBBaQNVjIPPxkwCp9F0Dp+LSulNqkcitqBXFYXQ8SkZgnpKQaK6M5flCwAq5md7iwAnxvHVM1ykxY/fi4mySgHLOQAVkSxsKWEtQvJ36e3zBIejEgtyd87avF1ybQ+FADeZBmaLxGBNpScPni4PRoTFjxvOzlWX8vVqTq/PjarB5Hek0k7B53a+2qfEAIA//6GvLPD2FW6PLU+sKrm02c5KCiP8GQVXWNbsbhuEU4EjNfqNA0BJalFLS8PtlnAOczP4Zxnq0Z1MfQKUousNq38erNYGB/+lwQ8qqln+B3EiqS4mgHkiE0ElIjZTSBok1yxEVqFh8nC0ARpbd5vy3HHQsTDu5Fx3tjldJg8oWDj9E5FHCuWxf1PAktWEBEQtrysLrUwUWrDKgdCfDQ6gSVlC8b6HMtMhJkHRypt6UCLqbqNopTBg+LvQ29BMkLomwnrJJD4jr+JZTsK5eQwg46OtQz6udJkhwyU2L+scRwRv7DTS/w2Y60v8SXHLaWSLnXYXhemKIzQR0w+SE5rKTz0PMzVNZZ/RoXxw+VXWtEgvyE+n+jxwBsVfocJJVOynxUSG1IVsOcw1GiOFEv7wMlY+NBEO5IoYBb21qQc8Wj4hwYlqz+/8xVkzhECaoBBUks5GmxCUGXfLHrEBGjddXOTONDx4sYiJQXEO0x80hojbbLPXumaIZqu4K8Ax64GivMUOSusbQybd1ZLcgFg4kr7xhTz2LkYHBZWhQTBwT/7JPLPU9oESScWUBIRO/IKea896WAOLVeK6x3ya93VS2Sh+O6fZoQy19/aMoM2hdc+AfyQiNo4d3mKG1q3o1ZxE+/rUx4uTM/i6IgdcHDaFFVGG5E1L46Ag8KTNd2UEC3Wbp8nhloir3AD09LOtLVoM8QkkHFKY+Ivc8Dbsu109fbgZ3J2OvZAYramq+QMDPIWvHqyd2Q+/uOio/2dr/BATW19T/9zwUVYvAYXvSOD2eQ0UIuq+KqrejOuMdaYh0GFYj0thMN1RXu/Il/YmQz12o9jiPQTpdWyA4oeysvAAAD7EGb3UnhClJlMCF/jJ9VpdHp4hm3eDN05gK7YgH/x0tKUsg8wB9dcSNgBbZ4RdSkYw9wwbgAeUtY9pGtza3qp2YmCenp/k3C6b45HImyCvQzyYuS79pcdAa2KQ7N3krw+fDZrbnrGSYXn1VTXsc+wIcNdtK50Yiyun2LWOec2tyfWQ6pWj+9XLEuhaGIQyZSeBKS9nH4oN3bPYVL1NNwoJQgeIIDMeGAr1KV5yEzUw5Y99ZLdc6j0hRNhM1k4ga9qshci3hTxTR+hjv7um+xJHEs05HSIh/wg0UZqudr/scFJJNwRM4hn9A/VzitoOQEfKf3t7ZYLAvIHRvVtw7bolfn7rzb1MI5JyloJpSJwhnHtjuvmj4osUQtxSC+rmeDXTjARKqRcxvChjQ6wvvXznKq0EAwU51ehZm+Mj6ZfETAuPHHpyuHqzjFu88kU/4kor2rnkZMRRFDwr6kCWuHceFQbCNZawq4oq5vCxBlE4+bYiuIhJbTsEjrPQPFUpB/zgKnHaS2uvsvgP0AeATz//yRMmo9iw2pYPB1Y2OLNusFrcd0lg4/dXwUSEgHUvMAK9lXUr3U42h0Ow7o1Ith1VDy89oFfocHQSzZp1h8rKHZ0iusYwRtoRphjUuDjsi8OwWTREUiVE/q8E4UHMiJozFKsuwz9Sq55O152Uvji8nRzoW94PI/lm7JA3q6jiUkpulTSBSzQMHUlK29VT8u+1Q7qv6kNOD9Zv80TEkBeodQNtjq3aPUl7ERYVXz/0uTqCyKad6QPnlt92hU1qEV1U9f3MmRVVlHu3UKOKbR4jwyuVXgofV3X1X2j7Qir8W0Yd0fpx+4r0MFL6YbsTYguUNQcC/XqbPnrcVuh/xE6FyblivLf5pbo90G60kpSpxSnRiURP8P2P2uu+abxEkp5sf7eqm8uTCPs/ppIq8XqezZx0TA/ADmqUlj457980FE4Y1r33iH9ZHPdkHHf8rwI2Ov4X6aRAYdt66Ri1aXaIH0rfcNXkEarb0ngdOlhckii3tPwxnHAi4HCJ2S9CynBfzvC1sqB+sruqTju5CBlAU3BHYtWxOrNABc/ojRepq1hFm2ESxHzEXkrbdh7Ee9DeRnHs6/bxihsuNdkGiGjUXQlbos/Ur/GWKgJvVeYqcDojUv6PsAhu+PoL/NQJykJ2k2LpHCYNZ1PfkEOl1o0Eu3EIQoiROzkctLzabsDtJsrODV20gwLQ4DlNQmO92mG4afBPFLJsp8oE4J7dbJhUvApuXG6tOgfGm4xxq4As1Yg4OdJAJZoXxVXmo/s+J1fQZ7btnmJ/CW+NXg1VSC3smJ1xV8sa9B/Dw3ovmBAAAETkGf+0U0THf9TFaYv4wuaS558t9mBhRcrOFk/Fo7I4p4lqtq9rTp+pe0pzPvTYejF7nZUxdbhtqxWcawFaQFETIsboRi1MEvNBpxsqIwx9sEV/ga857gK1e6sVpEdCM+eGxXsZbXmuCBexsfGQ+qeg2pMQh/eVqxMJDcRBZj3i1AbNXBVobFusBQVQX30B5z8cOLx4n5pD5OvsozGsRPOSpiK6oT07r2CTL3WFJpr6ut2KJlLAdWb4J2YL+Ui5jF+5DGBA2N1elR+2wF3yzi8jpX7cKqhKcxrMwEzkSDR6lS9tJ8Oli4Ne5V0uw0yLS3Ft7fVbZLIlZhVEJloJ2FplYsEhDm4OVPhNmwwylCf0OX48LHxYX18fS5owRFV1/z1TfUcRuG1AMwqxXjHK0tY7/IPkg2GwPIYHxUGB+6QUviadFBQLBY9jL5VtwzHeKJYmf36n4AuZQ6AN/JJ2yxnsdFuuVRwRmHdZruZxwk86GPDQRcNiwK63je2QKf28bppPzVMjg8gMhVykzmPFIbbik0/dvRQDlVKa4w18g883akwM08I7T08Q+lf+PDsPyaZgxqBAQ9S9kz5tfyT0juHrA9NXDGufgNdg5gtRxcQrdXdTblwo6+zQnHJ4a6SyO1NvNPJNuk5gCaZquOKsF9xYheioGbl0+KRm8U3ngWo2eBJN2yS3JlN1IrB3zerbXvzZwCS1U7P4EWPpUsmAJjf6NNOSdcFZo18X5tuZXV8nzeAzs0eK7umHJXxggn1GG1q00ZK5lMSHyrJCE+BdnmPzvuCxj+AcjQpQEHr5KN6Ieup9uemX2C9q4A6IWLE3yPJAMe0WwSlfukTeSBRcjcZKKANhQsLU/bx6x6S5mldWI5OQo2VaeBBEha7dxxmo+Vj7rM20pP7So/wIg+2jhwpDQYCJxeZ8RceD4864cjW8WaSuwJe4HJyPXm96tnsepNkdjGa8vhrpr4NlcgslK1z6QOYnxMGfD6hElGcXPUgvog5WpuNxE3XzCrzPXL1qOChYMEvP45zPW35ZdSR6fSvit1OgjLQ0xrE2B0Swpe6VQuO8/nRSN1d9XTarrhLw+fFO2xw+oFPYeKTHvHkZKMDCHPWMMoBj18H1fTRZrZmIAaLxYEqWkAFyXX1x07xOr49QZ5gVvl6znuCAUGQVwUReesfzSY28bTZ1acOncxXJDBEz/RmEbMLIkeJH8v1N3D+4dexzDXOHXEIqAQQCoD9TMJpBgHZdNEN+lt6QYHwYqN+AXVIsQfS5Q0sv7kuC3FWgN0cmmFuuP7LKi684Lvrg/PTJL6PnM2blASyfQHZ8gzm4B3vrQfD58USPeZgz+yBm41jZjyoHfmwVDwa+O2gtyoupdHERWjjHVxtBqnMMiXoBrt6GkUzDN85Uz2zHrJ8QHuc9lyNcf9IlAGPETAvbbxviYoAmsXlAOiShs+PpHr14ScRu2kW2w5fHD4ODsAAALrAZ4adEJf7io6bXv/aNZyBfJ7DtjBARIj6zLDLNqpit+Cdwzv59sRCKsa4IMdjttsiITJb2w0u/62RdD7/w30KfYZBL7HQRAt1oGimkaC3C4kqTiA08URKx25Kz4noxd6z1NrAWRBU2lCbOCj3bTzWmYmDx8nAJErmka5bgRWglC7ETRAPkNPdS4+np/ChqOGHiccQoG53wuo5M+1oYhg1Wp+HuL2gCYZL/jHCeKaO3wIC4+SKITIHzJ/4puLNO419RU4TnjrWIH6HEBAxxzxhz7UT+zzP2I+itgKAQzAd4Dt64CnPSvKEQtWG71AWVn39+FtpTnAT8oz3cxMXIeBaOELw1jQC6HCPDnw3kJEp3NSufOn59GQ/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@@ -979,7 +979,7 @@ <h3>Result<a class="headerlink" href="#result" title="Permalink to this heading"
 observed that the sound of “s” (curio<strong>si</strong>ty, be<strong>si</strong>des, thi<strong>s</strong>) has
 more energy allocated on higher frequency side (right side of the video).</p>
 <p>Tag: <a class="reference internal" href="../io.html#module-torchaudio.io" title="torchaudio.io"><code class="xref py py-obj docutils literal notranslate"><span class="pre">torchaudio.io</span></code></a></p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  7.246 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  7.390 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-streamwriter-basic-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/d8d57badf5e878c5beb8d32b0aefc7dd/streamwriter_basic_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">streamwriter_basic_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/subtractive_synthesis_tutorial.html b/main/tutorials/subtractive_synthesis_tutorial.html
index 4776aa9bdf5..7b656b3880d 100644
--- a/main/tutorials/subtractive_synthesis_tutorial.html
+++ b/main/tutorials/subtractive_synthesis_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Subtractive synthesis &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Subtractive synthesis &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -482,8 +482,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 </pre></div>
 </div>
 <section id="overview">
@@ -735,7 +735,7 @@ <h2>References<a class="headerlink" href="#references" title="Permalink to this
 <li><p><a class="reference external" href="https://computermusicresource.com/Simple.bell.tutorial.html">https://computermusicresource.com/Simple.bell.tutorial.html</a></p></li>
 <li><p><a class="reference external" href="https://computermusicresource.com/Definitions/additive.synthesis.html">https://computermusicresource.com/Definitions/additive.synthesis.html</a></p></li>
 </ul>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  8.130 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  7.964 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-subtractive-synthesis-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/d3b39e207bd40f4cddd5c53e3fdae429/subtractive_synthesis_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">subtractive_synthesis_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/tacotron2_pipeline_tutorial.html b/main/tutorials/tacotron2_pipeline_tutorial.html
index 924042ec262..f7c356df01b 100644
--- a/main/tutorials/tacotron2_pipeline_tutorial.html
+++ b/main/tutorials/tacotron2_pipeline_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Text-to-Speech with Tacotron2 &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>Text-to-Speech with Tacotron2 &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
@@ -513,8 +513,8 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240423
-2.2.0.dev20240424
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.4.0.dev20240502
+2.2.0.dev20240503
 cuda
 </pre></div>
 </div>
@@ -602,7 +602,7 @@ <h3>Phoneme-based encoding<a class="headerlink" href="#phoneme-based-encoding" t
 <span class="n">processor</span> <span class="o">=</span> <span class="n">bundle</span><span class="o">.</span><span class="n">get_text_processor</span><span class="p">()</span>
 
 <a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">text</span></a> <span class="o">=</span> <span class="s2">&quot;Hello world! Text to speech!&quot;</span>
-<span class="k">with</span> <a href="https://pytorch.org/docs/stable/generated/torch.inference_mode.html#torch.inference_mode" title="torch.inference_mode" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span></a><span class="p">():</span>
+<span class="k">with</span> <a href="https://pytorch.org/docs/stable/generated/torch.autograd.grad_mode.inference_mode.html#torch.autograd.grad_mode.inference_mode" title="torch.autograd.grad_mode.inference_mode" class="sphx-glr-backref-module-torch-autograd-grad_mode sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span></a><span class="p">():</span>
     <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">processed</span></a><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">lengths</span></a> <span class="o">=</span> <span class="n">processor</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">text</span></a><span class="p">)</span>
 
 <span class="nb">print</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">processed</span></a><span class="p">)</span>
@@ -610,24 +610,59 @@ <h3>Phoneme-based encoding<a class="headerlink" href="#phoneme-based-encoding" t
 </pre></div>
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 /pytorch/audio/ci_env/lib/python3.10/site-packages/torch/nn/modules/transformer.py:306: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
   warnings.warn(f&quot;enable_nested_tensor is True, but self.use_nested_tensor is False because {why_not_sparsity_fast_path}&quot;)
 tensor([[54, 20, 65, 69, 11, 92, 44, 65, 38,  2, 11, 81, 40, 64, 79, 81, 11, 81,
@@ -664,7 +699,7 @@ <h2>Spectrogram Generation<a class="headerlink" href="#spectrogram-generation" t
 
 <a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">text</span></a> <span class="o">=</span> <span class="s2">&quot;Hello world! Text to speech!&quot;</span>
 
-<span class="k">with</span> <a href="https://pytorch.org/docs/stable/generated/torch.inference_mode.html#torch.inference_mode" title="torch.inference_mode" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span></a><span class="p">():</span>
+<span class="k">with</span> <a href="https://pytorch.org/docs/stable/generated/torch.autograd.grad_mode.inference_mode.html#torch.autograd.grad_mode.inference_mode" title="torch.autograd.grad_mode.inference_mode" class="sphx-glr-backref-module-torch-autograd-grad_mode sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span></a><span class="p">():</span>
     <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">processed</span></a><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">lengths</span></a> <span class="o">=</span> <span class="n">processor</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">text</span></a><span class="p">)</span>
     <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">processed</span></a> <span class="o">=</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">processed</span></a><span class="o">.</span><span class="n">to</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">)</span>
     <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">lengths</span></a> <span class="o">=</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">lengths</span></a><span class="o">.</span><span class="n">to</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">)</span>
@@ -679,10 +714,17 @@ <h2>Spectrogram Generation<a class="headerlink" href="#spectrogram-generation" t
 Downloading: &quot;https://download.pytorch.org/torchaudio/models/tacotron2_english_phonemes_1500_epochs_wavernn_ljspeech.pth&quot; to /root/.cache/torch/hub/checkpoints/tacotron2_english_phonemes_1500_epochs_wavernn_ljspeech.pth
 
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 </pre></div>
 </div>
 <p>Note that <code class="docutils literal notranslate"><span class="pre">Tacotron2.infer</span></code> method perfoms multinomial sampling,
@@ -690,7 +732,7 @@ <h2>Spectrogram Generation<a class="headerlink" href="#spectrogram-generation" t
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">plot</span><span class="p">():</span>
     <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
     <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">3</span><span class="p">):</span>
-        <span class="k">with</span> <a href="https://pytorch.org/docs/stable/generated/torch.inference_mode.html#torch.inference_mode" title="torch.inference_mode" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span></a><span class="p">():</span>
+        <span class="k">with</span> <a href="https://pytorch.org/docs/stable/generated/torch.autograd.grad_mode.inference_mode.html#torch.autograd.grad_mode.inference_mode" title="torch.autograd.grad_mode.inference_mode" class="sphx-glr-backref-module-torch-autograd-grad_mode sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span></a><span class="p">():</span>
             <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spec</span></a><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spec_lengths</span></a><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">_</span></a> <span class="o">=</span> <span class="n">tacotron2</span><span class="o">.</span><span class="n">infer</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">processed</span></a><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">lengths</span></a><span class="p">)</span>
         <span class="nb">print</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spec</span></a><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
         <span class="n">ax</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spec</span></a><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">detach</span><span class="p">(),</span> <span class="n">origin</span><span class="o">=</span><span class="s2">&quot;lower&quot;</span><span class="p">,</span> <span class="n">aspect</span><span class="o">=</span><span class="s2">&quot;auto&quot;</span><span class="p">)</span>
@@ -723,7 +765,7 @@ <h3>WaveRNN Vocoder<a class="headerlink" href="#wavernn-vocoder" title="Permalin
 
 <a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">text</span></a> <span class="o">=</span> <span class="s2">&quot;Hello world! Text to speech!&quot;</span>
 
-<span class="k">with</span> <a href="https://pytorch.org/docs/stable/generated/torch.inference_mode.html#torch.inference_mode" title="torch.inference_mode" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span></a><span class="p">():</span>
+<span class="k">with</span> <a href="https://pytorch.org/docs/stable/generated/torch.autograd.grad_mode.inference_mode.html#torch.autograd.grad_mode.inference_mode" title="torch.autograd.grad_mode.inference_mode" class="sphx-glr-backref-module-torch-autograd-grad_mode sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span></a><span class="p">():</span>
     <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">processed</span></a><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">lengths</span></a> <span class="o">=</span> <span class="n">processor</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">text</span></a><span class="p">)</span>
     <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">processed</span></a> <span class="o">=</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">processed</span></a><span class="o">.</span><span class="n">to</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">)</span>
     <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">lengths</span></a> <span class="o">=</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">lengths</span></a><span class="o">.</span><span class="n">to</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">)</span>
@@ -736,7 +778,7 @@ <h3>WaveRNN Vocoder<a class="headerlink" href="#wavernn-vocoder" title="Permalin
 Downloading: &quot;https://download.pytorch.org/torchaudio/models/wavernn_10k_epochs_8bits_ljspeech.pth&quot; to /root/.cache/torch/hub/checkpoints/wavernn_10k_epochs_8bits_ljspeech.pth
 
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 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">plot</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">waveforms</span></a><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spec</span></a><span class="p">,</span> <span class="n">sample_rate</span><span class="p">):</span>
@@ -775,7 +817,7 @@ <h3>Griffin-Lim Vocoder<a class="headerlink" href="#griffin-lim-vocoder" title="
 <span class="n">tacotron2</span> <span class="o">=</span> <span class="n">bundle</span><span class="o">.</span><span class="n">get_tacotron2</span><span class="p">()</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">)</span>
 <span class="n">vocoder</span> <span class="o">=</span> <span class="n">bundle</span><span class="o">.</span><span class="n">get_vocoder</span><span class="p">()</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">)</span>
 
-<span class="k">with</span> <a href="https://pytorch.org/docs/stable/generated/torch.inference_mode.html#torch.inference_mode" title="torch.inference_mode" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span></a><span class="p">():</span>
+<span class="k">with</span> <a href="https://pytorch.org/docs/stable/generated/torch.autograd.grad_mode.inference_mode.html#torch.autograd.grad_mode.inference_mode" title="torch.autograd.grad_mode.inference_mode" class="sphx-glr-backref-module-torch-autograd-grad_mode sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span></a><span class="p">():</span>
     <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">processed</span></a><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">lengths</span></a> <span class="o">=</span> <span class="n">processor</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">text</span></a><span class="p">)</span>
     <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">processed</span></a> <span class="o">=</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">processed</span></a><span class="o">.</span><span class="n">to</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">)</span>
     <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">lengths</span></a> <span class="o">=</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">lengths</span></a><span class="o">.</span><span class="n">to</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">)</span>
@@ -788,57 +830,18 @@ <h3>Griffin-Lim Vocoder<a class="headerlink" href="#griffin-lim-vocoder" title="
 Downloading: &quot;https://download.pytorch.org/torchaudio/models/tacotron2_english_phonemes_1500_epochs_ljspeech.pth&quot; to /root/.cache/torch/hub/checkpoints/tacotron2_english_phonemes_1500_epochs_ljspeech.pth
 
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 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">plot</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">waveforms</span></a><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spec</span></a><span class="p">,</span> <span class="n">vocoder</span><span class="o">.</span><span class="n">sample_rate</span><span class="p">)</span>
@@ -907,7 +910,7 @@ <h3>Waveglow Vocoder<a class="headerlink" href="#waveglow-vocoder" title="Permal
 
 </div>
 <br />
-<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  17.877 seconds)</p>
+<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  10.328 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-tacotron2-pipeline-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/9772cbd0af96f57f17a2da758b365a43/tacotron2_pipeline_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">tacotron2_pipeline_tutorial.py</span></code></a></p>
diff --git a/main/utils.html b/main/utils.html
index 7cec7be9da8..ee15ecc596f 100644
--- a/main/utils.html
+++ b/main/utils.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.utils &mdash; Torchaudio 2.2.0.dev20240424 documentation</title>
+  <title>torchaudio.utils &mdash; Torchaudio 2.2.0.dev20240503 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240424 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.2.0.dev20240503 &#x25BC</span></a>
     </div>
     
 
diff --git a/stable b/stable
index 616187889b6..c0943d3e98d 120000
--- a/stable
+++ b/stable
@@ -1 +1 @@
-2.2
\ No newline at end of file
+2.3
\ No newline at end of file
diff --git a/versions.html b/versions.html
index 67d36807308..9e1411a9947 100644
--- a/versions.html
+++ b/versions.html
@@ -21,7 +21,10 @@ <h1> PyTorch Documentation </h1>
           <a class="reference internal" href="main/">main (unstable)</a>
         </li>
         <li class="toctree-l1">
-          <a class="reference internal" href="2.2.0/">v2.2.0 (stable release)</a>
+          <a class="reference internal" href="2.3.0/">v2.3.0 (stable release)</a>
+        </li>
+        <li class="toctree-l1">
+          <a class="reference internal" href="2.2.0/">v2.2.0</a>
         </li>
         <li class="toctree-l1">
           <a class="reference internal" href="2.1.2/">v2.1.2</a>