Merge dev to main

.github/workflows/build_wheel.yml

@@ -6,7 +6,7 @@ on:
   push:
     branches:
       - main
-      - mlperf-inference
+      - dev
     paths:
       - VERSION
       - setup.py
@@ -31,6 +31,7 @@ jobs:
         with:
           fetch-depth: 2
           ssh-key: ${{ secrets.DEPLOY_KEY }}
+          ref: ${{ github.ref_name }}
 
       # Step 2: Set up Python
       - uses: actions/setup-python@v3

.github/workflows/publish-docs.yaml

@@ -9,8 +9,7 @@ on:
   push:
     branches:
       - main
-      - docs
-      - mlperf-inference
+      - dev
     paths:
       - docs/**
       - mkdocs.yml

.github/workflows/test-mlperf-inference-abtf-poc.yml

@@ -20,7 +20,7 @@ jobs:
         python-version: [ "3.8", "3.12" ]
         backend: [ "pytorch" ]
         implementation: [ "python" ]
-        docker: [ "", " --docker --docker_it=no --docker_cm_repo=gateoverflow@cm4mlops --docker_dt=yes" ]
+        docker: [ "", " --docker --docker_it=no --docker_cm_repo=mlcommons@mlperf-automations --docker_cm_repo_branch=dev --docker_dt=yes" ]
         extra-args: [ "--adr.compiler.tags=gcc", "--env.CM_MLPERF_LOADGEN_BUILD_FROM_SRC=off" ]
         exclude:
         - os: ubuntu-24.04
@@ -30,16 +30,16 @@ jobs:
         - os: windows-latest
           extra-args: "--adr.compiler.tags=gcc"
         - os: windows-latest 
-          docker: " --docker --docker_it=no --docker_cm_repo=gateoverflow@cm4mlops --docker_dt=yes"
+          docker: " --docker --docker_it=no --docker_cm_repo=mlcommons@mlperf-automations --docker_cm_repo_branch=dev --docker_dt=yes"
           # windows docker image is not supported in CM yet
         - os: macos-latest
           python-version: "3.8"
         - os: macos-13
           python-version: "3.8"
         - os: macos-latest
-          docker: " --docker --docker_it=no --docker_cm_repo=gateoverflow@cm4mlops --docker_dt=yes"
+          docker: " --docker --docker_it=no --docker_cm_repo=mlcommons@mlperf-automations --docker_cm_repo_branch=dev --docker_dt=yes"
         - os: macos-13
-          docker: " --docker --docker_it=no --docker_cm_repo=gateoverflow@cm4mlops --docker_dt=yes"
+          docker: " --docker --docker_it=no --docker_cm_repo=mlcommons@mlperf-automations --docker_cm_repo_branch=dev --docker_dt=yes"
 
     steps:
     - uses: actions/checkout@v3

README.md

@@ -5,12 +5,12 @@ This repository contains the automations and scripts used to run MLPerf benchmar
 
 ## Collective Mind (CM)
 
-**Collective Mind (CM)** is a Python package with a CLI and API designed for creating and managing automations. Two key automations developed using CM are **Script** and **Cache**, which streamline machine learning (ML) workflows, including managing Docker runs. Both Script and Cache automations are extended as part of this repository.
-
-The CM scripts housed in this repository consist of hundreds of modular Python-wrapped scripts accompanied by `yaml` metadata, enabling the creation of robust and flexible ML workflows.
-
-- **CM Scripts Documentation**: [https://docs.mlcommons.org/cm4mlops/](https://docs.mlcommons.org/cm4mlops/)
+**CM (Collective Mind)** is a Python package with a CLI and API designed to create and manage automations. Two key automations developed using CM are **Script** and **Cache**, which streamline ML workflows, including managing Docker runs.
+The CM Python package was developed by Grigori Fursin. The Script and Cache automations are part of the cm4mlops repository, created by Grigori Fursin and Arjun Suresh and sponsored by OctoML, cKnowledge, cTuning and MLCommons.
+The CM scripts, also housed in the cm4mlops repository, are created and maintained by Arjun Suresh and Anandhu Sooraj, and Grigori Fursin with the help of the MLCommons community.
 
+**CM CLI:** https://docs.mlcommons.org/ck/specs/cm-cli/ 
+**Documentation site for MLPerf Inference:** https://docs.mlcommons.org/inference/ 
 
 ## License
 

VERSION

@@ -1 +1 @@
-0.6.4
+0.6.11

git_commit_hash.txt

@@ -1 +1 @@
-8768d67e1f9187005bdb3c7f325e42998dc7fd8a
+f5e04069c8d7395be34f94fa8a94edc6c317b58e

mkdocs.yml

@@ -1,5 +1,5 @@
-site_name: CM Script Automation Documentation
-repo_url: https://github.com/mlcommons/cm4mlops
+site_name: MLPerf Automation Documentation
+repo_url: https://github.com/mlcommons/mlperf-automations
 theme:
   name: material
   logo: img/logo_v2.svg

script/app-mlperf-inference-mlcommons-python/_cm.yaml

@@ -482,13 +482,12 @@ deps:
   ## RGAT
   - tags: get,ml-model,rgat
     names:
-    - ml-model
     - rgat-model
     enable_if_env:
       CM_MODEL:
       - rgat
     skip_if_env:
-      RGAT_CHECKPOINT_PATH:
+      CM_ML_MODEL_RGAT_CHECKPOINT_PATH:
         - 'on'
 
   ########################################################################
@@ -620,6 +619,9 @@ deps:
     enable_if_env:
       CM_MODEL:
       - rgat
+    skip_if_env:
+      CM_DATASET_IGBH_PATH:
+      - "on"
 
   ########################################################################
   # Install MLPerf inference dependencies
@@ -1224,27 +1226,45 @@ variations:
     group: models
     env:
       CM_MODEL: rgat
+    adr:
+      pytorch:
+        version: 2.1.0
     deps:
       - tags: get,generic-python-lib,_package.colorama
       - tags: get,generic-python-lib,_package.tqdm
       - tags: get,generic-python-lib,_package.requests
       - tags: get,generic-python-lib,_package.torchdata
-      - tags: get,generic-python-lib,_package.torch-geometric
-      - tags: get,generic-python-lib,_package.torch-scatter
-      - tags: get,generic-python-lib,_package.torch-sparse
+        version: 0.7.0
+      - tags: get,generic-python-lib,_package.torchvision
+        version: 0.16.0
       - tags: get,generic-python-lib,_package.pybind11
       - tags: get,generic-python-lib,_package.PyYAML
+      - tags: get,generic-python-lib,_package.numpy
+        version: 1.26.4
       - tags: get,generic-python-lib,_package.pydantic 
       - tags: get,generic-python-lib,_package.igb,_url.git+https://github.com/IllinoisGraphBenchmark/IGB-Datasets.git
-      - tags: get,generic-python-lib,_package.dgl,_find_links_url.https://data.dgl.ai/wheels/torch-2.1/repo.html
-        enable_if_env:
-          CM_MLPERF_DEVICE:
-          - cpu
+
+  rgat,cuda:
+    deps:
       - tags: get,generic-python-lib,_package.dgl,_find_links_url.https://data.dgl.ai/wheels/torch-2.1/cu121/repo.html
-        enable_if_env:
-          CM_MLPERF_DEVICE:
-          - gpu
-
+      - tags: get,generic-python-lib,_package.torch-scatter
+      - tags: get,generic-python-lib,_package.torch-sparse
+      - tags: get,generic-python-lib,_package.torch-geometric
+        env:
+          CM_GENERIC_PYTHON_PIP_EXTRA_FIND_LINKS_URL: "https://data.pyg.org/whl/torch-<<<CM_TORCH_VERSION>>>.html"
+
+  rgat,cpu:
+    deps:
+      - tags: get,generic-python-lib,_package.torch-geometric
+        env:
+          CM_GENERIC_PYTHON_PIP_EXTRA_FIND_LINKS_URL: "https://data.pyg.org/whl/torch-<<<CM_TORCH_VERSION>>>+cpu.html"
+      - tags: get,generic-python-lib,_package.torch-scatter
+        env:
+          CM_GENERIC_PYTHON_PIP_EXTRA_FIND_LINKS_URL: "https://data.pyg.org/whl/torch-<<<CM_TORCH_VERSION>>>+cpu.html"
+      - tags: get,generic-python-lib,_package.torch-sparse
+        env:
+          CM_GENERIC_PYTHON_PIP_EXTRA_FIND_LINKS_URL: "https://data.pyg.org/whl/torch-<<<CM_TORCH_VERSION>>>+cpu.html"
+      - tags: get,generic-python-lib,_package.dgl,_find_links_url.https://data.dgl.ai/wheels/torch-2.1/repo.html
 
   # Target devices
   cpu:

script/app-mlperf-inference-mlcommons-python/customize.py

@@ -115,10 +115,12 @@ def preprocess(i):
     scenario_extra_options = ''
 
     NUM_THREADS = env['CM_NUM_THREADS']
-    if int(NUM_THREADS) > 2 and env['CM_MLPERF_DEVICE'] == "gpu":
+    if int(
+            NUM_THREADS) > 2 and env['CM_MLPERF_DEVICE'] == "gpu" and env['CM_MODEL'] != "rgat":
         NUM_THREADS = "2"  # Don't use more than 2 threads when run on GPU
 
-    if env['CM_MODEL'] in ['resnet50', 'retinanet', 'stable-diffusion-xl']:
+    if env['CM_MODEL'] in ['resnet50', 'retinanet',
+                           'stable-diffusion-xl', 'rgat']:
         scenario_extra_options += " --threads " + NUM_THREADS
 
     ml_model_name = env['CM_MODEL']
@@ -485,15 +487,16 @@ def get_run_cmd_reference(
         # have to add the condition for running in debug mode or real run mode
         cmd = env['CM_PYTHON_BIN_WITH_PATH'] + " main.py " \
             " --scenario " + env['CM_MLPERF_LOADGEN_SCENARIO'] + \
-            " --dataset-path " + env['CM_IGBH_DATASET_PATH'] + \
-            " --device " + device.replace("cuda", "cuda:0") + \
+            " --dataset-path " + env['CM_DATASET_IGBH_PATH'] + \
+            " --device " + device.replace("cuda", "gpu") + \
             env['CM_MLPERF_LOADGEN_EXTRA_OPTIONS'] + \
             scenario_extra_options + mode_extra_options + \
             " --output " + env['CM_MLPERF_OUTPUT_DIR'] + \
             ' --dtype ' + dtype_rgat + \
-            " --model-path " + env['RGAT_CHECKPOINT_PATH'] + \
-            " --mlperf_conf " + \
-            os.path.join(env['CM_MLPERF_INFERENCE_SOURCE'], "mlperf.conf")
+            " --model-path " + env['CM_ML_MODEL_RGAT_CHECKPOINT_PATH']
+
+        if env.get('CM_ACTIVATE_RGAT_IN_MEMORY', '') == "yes":
+            cmd += " --in-memory "
 
     if env.get('CM_NETWORK_LOADGEN', '') in ["lon", "sut"]:
         cmd = cmd + " " + "--network " + env['CM_NETWORK_LOADGEN']

script/app-mlperf-inference/_cm.yaml

@@ -767,6 +767,20 @@ variations:
     env:
       CM_MODEL:
         rgat
+    posthook_deps:
+    - enable_if_env:
+        CM_MLPERF_LOADGEN_MODE:
+        - accuracy
+        - all
+        CM_MLPERF_ACCURACY_RESULTS_DIR:
+        - 'on'
+      skip_if_env:
+        CM_MLPERF_IMPLEMENTATION:
+        - nvidia
+      names:
+      - mlperf-accuracy-script
+      - 3d-unet-accuracy-script
+      tags: run,accuracy,mlperf,_igbh
 
   sdxl:
     group:
@@ -1645,6 +1659,25 @@ variations:
       CM_ENV_NVMITTEN_DOCKER_WHEEL_PATH: '/opt/nvmitten-0.1.3b0-cp38-cp38-linux_x86_64.whl'
       CM_MLPERF_INFERENCE_VERSION: '4.1'
 
+  r5.0-dev_default:
+    group:
+      reproducibility
+    add_deps_recursive:
+      nvidia-inference-common-code:
+        version: r4.1
+        tags: _mlcommons
+      nvidia-inference-server:
+        version: r4.1
+        tags: _mlcommons
+      intel-harness:
+        tags: _v4.1
+    default_env:
+      CM_SKIP_SYS_UTILS: 'yes'
+      CM_REGENERATE_MEASURE_FILES: 'yes'
+    env:
+      CM_ENV_NVMITTEN_DOCKER_WHEEL_PATH: '/opt/nvmitten-0.1.3b0-cp38-cp38-linux_x86_64.whl'
+
+
 invalid_variation_combinations:
   -
     - retinanet
@@ -1768,6 +1801,8 @@ docker:
    - "${{ CM_NVIDIA_LLAMA_DATASET_FILE_PATH }}:${{ CM_NVIDIA_LLAMA_DATASET_FILE_PATH }}"
    - "${{ SDXL_CHECKPOINT_PATH }}:${{ SDXL_CHECKPOINT_PATH }}"
    - "${{ CM_DATASET_KITS19_PREPROCESSED_PATH }}:${{ CM_DATASET_KITS19_PREPROCESSED_PATH }}"
+   - "${{ CM_DATASET_IGBH_PATH }}:${{ CM_DATASET_IGBH_PATH }}"
+   - "${{ CM_ML_MODEL_RGAT_CHECKPOINT_PATH }}:${{ CM_ML_MODEL_RGAT_CHECKPOINT_PATH }}"
   skip_run_cmd: 'no'
   shm_size: '32gb'
   interactive: True

script/get-cudnn/_cm.yaml

@@ -19,6 +19,7 @@ default_env:
 
 deps:
 - tags: detect,os
+- tags: detect,sudo
 - names:
   - cuda
   skip_if_env:

script/get-dataset-mlperf-inference-igbh/_cm.yaml

@@ -11,7 +11,8 @@ tags:
 - inference
 uid: 824e61316c074253
 new_env_keys:
-  - CM_IGBH_DATASET_PATH
+  - CM_DATASET_IGBH_PATH
+  - CM_DATASET_IGBH_SIZE
 input_mapping:
   out_path: CM_IGBH_DATASET_OUT_PATH
 deps:
@@ -21,6 +22,9 @@ deps:
   - tags: get,python
     names:
       - get-python
+  - tags: get,generic-python-lib,_package.igb,_url.git+https://github.com/anandhu-eng/IGB-Datasets.git
+  - tags: get,generic-python-lib,_package.colorama
+  - tags: get,generic-python-lib,_package.tqdm
 prehook_deps:
   #paper  
   - env:
@@ -359,13 +363,13 @@ variations:
     default: true
     group: dataset-type
     env:
-      CM_IGBH_DATASET_TYPE: debug
-      CM_IGBH_DATASET_SIZE: tiny
+      CM_DATASET_IGBH_TYPE: debug
+      CM_DATASET_IGBH_SIZE: tiny
   full:
     group: dataset-type
     env:
-      CM_IGBH_DATASET_TYPE: full
-      CM_IGBH_DATASET_SIZE: full
+      CM_DATASET_IGBH_TYPE: debug
+      CM_DATASET_IGBH_SIZE: tiny
   glt:
     env:
       CM_IGBH_GRAPH_COMPRESS: yes

script/get-dataset-mlperf-inference-igbh/customize.py

@@ -27,18 +27,18 @@ def preprocess(i):
     x_sep = " && "
 
     # download the model
-    if env['CM_IGBH_DATASET_TYPE'] == "debug":
+    if env['CM_DATASET_IGBH_TYPE'] == "debug":
         run_cmd += x_sep + env['CM_PYTHON_BIN_WITH_PATH'] + \
             f" tools/download_igbh_test.py --target-path {download_loc} "
 
     # split seeds
     run_cmd += x_sep + \
-        f"{env['CM_PYTHON_BIN_WITH_PATH']} tools/split_seeds.py --path {download_loc} --dataset_size {env['CM_IGBH_DATASET_SIZE']}"
+        f"{env['CM_PYTHON_BIN_WITH_PATH']} tools/split_seeds.py --path {download_loc} --dataset_size {env['CM_DATASET_IGBH_SIZE']}"
 
     # compress graph(for glt implementation)
     if env.get('CM_IGBH_GRAPH_COMPRESS', '') == "yes":
         run_cmd += x_sep + \
-            f"{env['CM_PYTHON_BIN_WITH_PATH']} tools/compress_graph.py --path {download_loc} --dataset_size {env['CM_IGBH_DATASET_SIZE']} --layout {env['CM_IGBH_GRAPH_COMPRESS_LAYOUT']}"
+            f"{env['CM_PYTHON_BIN_WITH_PATH']} tools/compress_graph.py --path {download_loc} --dataset_size {env['CM_DATASET_IGBH_SIZE']} --layout {env['CM_IGBH_GRAPH_COMPRESS_LAYOUT']}"
 
     env['CM_RUN_CMD'] = run_cmd
 
@@ -49,10 +49,10 @@ def postprocess(i):
 
     env = i['env']
 
-    env['CM_IGBH_DATASET_PATH'] = env.get(
+    env['CM_DATASET_IGBH_PATH'] = env.get(
         'CM_IGBH_DATASET_OUT_PATH', os.getcwd())
 
     print(
-        f"Path to the IGBH dataset: {os.path.join(env['CM_IGBH_DATASET_PATH'], env['CM_IGBH_DATASET_SIZE'])}")
+        f"Path to the IGBH dataset: {os.path.join(env['CM_DATASET_IGBH_PATH'], env['CM_DATASET_IGBH_SIZE'])}")
 
     return {'return': 0}

script/get-ml-model-rgat/_cm.yaml

@@ -12,7 +12,7 @@ input_mapping:
   to: CM_DOWNLOAD_PATH
 new_env_keys:
 - CM_ML_MODEL_*
-- RGAT_CHECKPOINT_PATH
+- CM_ML_MODEL_RGAT_CHECKPOINT_PATH
 prehook_deps:
 - enable_if_env:
     CM_DOWNLOAD_TOOL:

script/get-ml-model-rgat/customize.py

@@ -19,12 +19,12 @@ def postprocess(i):
 
     env = i['env']
 
-    if env.get('RGAT_CHECKPOINT_PATH', '') == '':
-        env['RGAT_CHECKPOINT_PATH'] = os.path.join(
+    if env.get('CM_ML_MODEL_RGAT_CHECKPOINT_PATH', '') == '':
+        env['CM_ML_MODEL_RGAT_CHECKPOINT_PATH'] = os.path.join(
             env['CM_ML_MODEL_PATH'], "RGAT.pt")
     elif env.get('CM_ML_MODEL_PATH', '') == '':
-        env['CM_ML_MODEL_PATH'] = env['RGAT_CHECKPOINT_PATH']
+        env['CM_ML_MODEL_PATH'] = env['CM_ML_MODEL_RGAT_CHECKPOINT_PATH']
 
-    env['CM_GET_DEPENDENT_CACHED_PATH'] = env['RGAT_CHECKPOINT_PATH']
+    env['CM_GET_DEPENDENT_CACHED_PATH'] = env['CM_ML_MODEL_RGAT_CHECKPOINT_PATH']
 
     return {'return': 0}

script/get-mlperf-inference-loadgen/run.sh

@@ -25,14 +25,14 @@ cmake \
     -DCMAKE_INSTALL_PREFIX="${INSTALL_DIR}" \
      "${CM_MLPERF_INFERENCE_SOURCE}/loadgen" \
      -DPYTHON_EXECUTABLE:FILEPATH="${CM_PYTHON_BIN_WITH_PATH}" -B .
-if [ ${?} -ne 0 ]; then exit $?; fi
+test $? -eq 0 || exit $?
 
 echo "******************************************************"
 CM_MAKE_CORES=${CM_MAKE_CORES:-${CM_HOST_CPU_TOTAL_CORES}}
 CM_MAKE_CORES=${CM_MAKE_CORES:-2}
 
 cmake --build . --target install -j "${CM_MAKE_CORES}"
-if [ ${?} -ne 0 ]; then exit $?; fi
+test $? -eq 0 || exit $?
 
 # Clean build directory (too large)
 cd "${CUR_DIR}"
@@ -43,8 +43,7 @@ fi
 
 cd "${CM_MLPERF_INFERENCE_SOURCE}/loadgen"
 ${CM_PYTHON_BIN_WITH_PATH} -m pip install . --target="${MLPERF_INFERENCE_PYTHON_SITE_BASE}"
-
-if [ ${?} -ne 0 ]; then exit $?; fi
+test $? -eq 0 || exit $?
 
 # Clean the built wheel
 #find . -name 'mlcommons_loadgen*.whl' | xargs rm