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Create TEST01 audit.conf for rgat #2037

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Create TEST01 audit.conf for rgat #2037

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b99b539
Create TEST01 audit.conf for rgat
arjunsuresh Jan 15, 2025
65705f2
Update benchmark-checklist.md | RGAT checklist completed
arjunsuresh Jan 15, 2025
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9 changes: 9 additions & 0 deletions compliance/nvidia/TEST01/rgat/audit.conf
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Arjun,
..accuracy_log_rng_seed = 720381539243781796
Should this match any of the seeds that were generated on January 14th meeting?

Here are the seeds generated in WG meeting for 5.0
5.0 Random Seed

qsl_rng_seed: 53 98 2e a5 3f 37 fc d5 (6023615788873153749)
sample_index_rng_seed: d0 ad 96 2d f8 00 6d 30 (15036839855038426416)
schedule_rng_seed: 89 dc 02 e5 86 33 9e e1 (9933818062894767841)
Stable diffusion images to generate seed: 0f d5 db ee (265673710)

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@uday-at-broadcom pablo
No, the seeds for TEST01 audit.conf are not changed for each inference round

@pgmpablo157321 please do confirm this.

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@pgmpablo157321 how to generate the 10 image files from the SDXL seed?

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@nvzhihanj Looks like Pablo has already updated the image IDs
https://github.com/mlcommons/inference/blob/master/text_to_image/tools/sample_ids.txt

Original file line number Diff line number Diff line change
@@ -0,0 +1,9 @@
# The format of this config file is 'key = value'.
# The key has the format 'model.scenario.key'. Value is mostly int64_t.
# Model maybe '*' as wildcard. In that case the value applies to all models.
# All times are in milli seconds

# mode dictionary (0 = submission, 1 = accuracy, 2 = performance, 3 = find peak perf)
*.*.mode = 2
*.*.accuracy_log_rng_seed = 720381539243781796
*.*.accuracy_log_sampling_target = 4096
19 changes: 10 additions & 9 deletions graph/R-GAT/benchmark-checklist.md
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Expand Up @@ -48,11 +48,11 @@ Documented whether **Equal Issue Mode** is applicable in
---

#### **9. Reference Implementation Dataset Coverage**
- [ ] Reference implementation successfully processes the entire validation dataset during:
- [ ] Performance runs
- [ ] Accuracy runs
- [ ] Compliance runs
- [ ] Valid log files passing the submission checker are generated for all runs.
- [X] Reference implementation successfully processes the entire validation dataset during:
- [X] Performance runs
- [X] Accuracy runs
- [X] Compliance runs
- [X] Valid log files passing the submission checker are generated for all runs - [link](https://github.com/mlcommons/mlperf_inference_unofficial_submissions_v5.0/tree/main/closed/MLCommons/results/mlc-server-reference-gpu-pytorch_v2.4.0-cu124/rgat/offline/performance/run_1).

---

Expand Down Expand Up @@ -81,7 +81,8 @@ Documented whether **Equal Issue Mode** is applicable in
---

#### **14. Sample Log Files**
- [ ] Include sample logs for all the applicable scenario runs:
- [ ] `mlperf_log_summary.txt`
- [ ] `mlperf_log_detail.txt`
- [ ] Ensure sample logs successfully pass the submission checker and applicable compliance runs.
- [X] Include sample logs for all the applicable scenario runs:
- [X] Offline
- [X] [`mlperf_log_summary.txt`](https://github.com/mlcommons/mlperf_inference_unofficial_submissions_v5.0/blob/main/closed/MLCommons/results/mlc-server-reference-gpu-pytorch_v2.4.0-cu124/rgat/offline/performance/run_1/mlperf_log_summary.txt)
- [X] [`mlperf_log_detail.txt`](https://github.com/mlcommons/mlperf_inference_unofficial_submissions_v5.0/blob/main/closed/MLCommons/results/mlc-server-reference-gpu-pytorch_v2.4.0-cu124/rgat/offline/performance/run_1/mlperf_log_detail.txt)
- [X] Ensure sample logs successfully pass the submission checker and applicable compliance runs. [Link](https://htmlpreview.github.io/?https://github.com/mlcommons/mlperf_inference_unofficial_submissions_v5.0/blob/refs/heads/auto-update/closed/MLCommons/results/mlc-server-reference-gpu-pytorch_v2.4.0-cu124/summary.html)
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