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Updated results summary Results on system test Updated results summary Update update-results.yml Updated results summary Added results updater GH action Updated results summary Added results updater GH action Updated results summary Use incremental dbversion Use incremental dbversion Updated results summary Delete summary_results.json Updated results summary Update update-results.yml Updated results summary Update publish.yml Updated results summary Update update-results.yml Updated results summary Results from self hosted Github actions - NVIDIARTX4090 Updated results summary Results from self hosted Github actions - NVIDIARTX4090 Updated results summary Results from self hosted Github actions - NVIDIARTX4090 Updated results summary Results from self hosted Github actions - NVIDIARTX4090 Updated results summary Results from self hosted Github actions - NVIDIARTX4090 Updated results summary Results from self hosted Github actions - NVIDIARTX4090 Updated results summary Results from self hosted Github actions - NVIDIARTX4090 Updated results summary Update update-results.yml Updated results summary Update mkdocs.yml Updated results summary Results from self hosted Github actions - NVIDIARTX4090 Updated results summary Results from self hosted Github actions - NVIDIARTX4090 Updated results summary Results from self hosted Github actions - NVIDIARTX4090 Updated results summary Results from self hosted Github actions - NVIDIARTX4090 Updated results summary Results from self hosted Github actions - NVIDIARTX4090 Updated results summary Results from self hosted Github actions - NVIDIARTX4090 Updated results summary Results from self hosted Github actions - NVIDIARTX4090 Updated results summary
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@@ -7,7 +7,6 @@ on: | |
push: | ||
branches: | ||
- mlperf-inference-results-scc24 | ||
- main | ||
- docs | ||
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jobs: | ||
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# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions | ||
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name: MLPerf inference results updater | ||
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on: | ||
push: | ||
branches: [ "main", "mlperf-inference-results-scc24" ] | ||
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jobs: | ||
build: | ||
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runs-on: ubuntu-latest | ||
env: | ||
CM_INDEX: "on" | ||
strategy: | ||
fail-fast: false | ||
matrix: | ||
python-version: [ "3.10" ] | ||
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steps: | ||
- uses: actions/checkout@v3 | ||
- name: Set up Python ${{ matrix.python-version }} | ||
uses: actions/setup-python@v3 | ||
with: | ||
python-version: ${{ matrix.python-version }} | ||
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- name: Install dependencies | ||
run: | | ||
python3 -m pip install cm4mlops | ||
- name: Run MLPerf Inference Submission Checker and generate results summary | ||
run: | | ||
cm run script --tags=run,mlperf,inference,submission,checker,_short-run --src_version=v4.1 --adr.submission-checker-src.tags=_repo.https://github.com/gateoverflow/inference,_branch.improve_result_generation --quiet --extra_args=" --skip-extra-files-in-root-check" --submission_dir=./ > >(tee -a out.txt) 2> >(tee -a checker_log.txt >&2) | ||
cm run script --tags=convert,from-csv,to-md --csv_file=summary.csv --md_file=README.md | ||
USER="GitHub Action" | ||
[email protected] | ||
git config --global user.name "$USER" | ||
git config --global user.email "$EMAIL" | ||
git remote set-url origin https://x-access-token:${{ secrets.GITHUB_TOKEN_TOKEN }}@github.com/${{ github.repository }} | ||
git add summary* | ||
echo -e 'Please download [summary.xlsx](summary.xlsx) to view the most recent results. \n ```' > temp | ||
tail -n 16 checker_log.txt >> temp | ||
echo -e '\n```\n' >> temp | ||
cat temp | cat - README.md > temp1 | ||
head -n 100 temp1 > README.md | ||
git add README.md | ||
git diff-index --quiet HEAD || (git commit -am "Updated results summary" && git push origin) |
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Please download [summary.xlsx](summary.xlsx) to view the most recent results. | ||
``` | ||
[2024-10-07 20:09:37,609 submission_checker1.py:2936 INFO] Results=9, NoResults=0, Power Results=0 | ||
[2024-10-07 20:09:37,610 submission_checker1.py:2943 INFO] --- | ||
[2024-10-07 20:09:37,610 submission_checker1.py:2944 INFO] Closed Results=0, Closed Power Results=0 | ||
[2024-10-07 20:09:37,610 submission_checker1.py:2949 INFO] Open Results=9, Open Power Results=0 | ||
[2024-10-07 20:09:37,610 submission_checker1.py:2954 INFO] Network Results=0, Network Power Results=0 | ||
[2024-10-07 20:09:37,610 submission_checker1.py:2959 INFO] --- | ||
[2024-10-07 20:09:37,610 submission_checker1.py:2961 INFO] Systems=8, Power Systems=0 | ||
[2024-10-07 20:09:37,610 submission_checker1.py:2962 INFO] Closed Systems=0, Closed Power Systems=0 | ||
[2024-10-07 20:09:37,610 submission_checker1.py:2967 INFO] Open Systems=8, Open Power Systems=0 | ||
[2024-10-07 20:09:37,610 submission_checker1.py:2972 INFO] Network Systems=0, Network Power Systems=0 | ||
[2024-10-07 20:09:37,610 submission_checker1.py:2977 INFO] --- | ||
[2024-10-07 20:09:37,610 submission_checker1.py:2982 INFO] SUMMARY: submission looks OK | ||
INFO:root: ! call "postprocess" from /home/runner/CM/repos/mlcommons@cm4mlops/script/run-mlperf-inference-submission-checker/customize.py | ||
``` | ||
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| | Organization | Availability | Division | SystemType | SystemName | Platform | Model | MlperfModel | Scenario | Result | Accuracy | number_of_nodes | host_processor_model_name | host_processors_per_node | host_processor_core_count | accelerator_model_name | accelerators_per_node | Location | framework | operating_system | notes | compliance | errors | version | inferred | has_power | Units | weight_data_types | | ||
|---:|:---------------|:---------------|:-----------|:-------------|:-------------|:-------------------------------------------------------|:--------------------|:--------------------|:-----------|----------:|:--------------------------------------------------------------|------------------:|:----------------------------|---------------------------:|----------------------------:|:-------------------------|------------------------:|:----------------------------------------------------------------------------------------------------------|:---------------|:------------------------------------------------|:----------------------------------|-------------:|---------:|:----------|-----------:|:------------|:----------|:--------------------| | ||
| 0 | MLCommons | available | open | datacenter | 48ed6105bd85 | 48ed6105bd85-nvidia-gpu-TensorRT-scc24-main | stable-diffusion-xl | stable-diffusion-xl | Offline | 1.13292 | CLIP_SCORE: 15.586050063371658 FID_SCORE: 236.8087101317688 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 1 | open/MLCommons/results/48ed6105bd85-nvidia-gpu-TensorRT-scc24-main/stable-diffusion-xl/offline | TensorRT | Ubuntu 20.04 (linux-6.2.0-39-generic-glibc2.31) | Automated by MLCommons CM v2.3.6. | 1 | 0 | v4.1 | 0 | False | Samples/s | int8 | | ||
| 1 | MLCommons | available | open | datacenter | e8dbfdd7ca14 | e8dbfdd7ca14-nvidia-gpu-TensorRT-scc24-base | stable-diffusion-xl | stable-diffusion-xl | Offline | 1.13976 | CLIP_SCORE: 15.617164582014084 FID_SCORE: 233.28573786792805 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 1 | open/MLCommons/results/e8dbfdd7ca14-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline | TensorRT | Ubuntu 20.04 (linux-6.2.0-39-generic-glibc2.31) | Automated by MLCommons CM v2.3.9. | 1 | 0 | v4.1 | 0 | False | Samples/s | int8 | | ||
| 2 | MLCommons | available | open | datacenter | 48ed6105bd85 | 48ed6105bd85-nvidia-gpu-TensorRT-scc24-base | stable-diffusion-xl | stable-diffusion-xl | Offline | 1.13598 | CLIP_SCORE: 15.586050063371658 FID_SCORE: 236.8087101317688 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 1 | open/MLCommons/results/48ed6105bd85-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline | TensorRT | Ubuntu 20.04 (linux-6.2.0-39-generic-glibc2.31) | Automated by MLCommons CM v2.3.6. | 1 | 0 | v4.1 | 0 | False | Samples/s | int8 | | ||
| 3 | MLCommons | available | open | datacenter | 13fce262fb79 | 13fce262fb79-reference-gpu-pytorch_v2.4.1-scc24-base | stable-diffusion-xl | stable-diffusion-xl | Offline | 0.375843 | CLIP_SCORE: 15.18544016778469 FID_SCORE: 235.69504308101006 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 1 | open/MLCommons/results/13fce262fb79-reference-gpu-pytorch_v2.4.1-scc24-base/stable-diffusion-xl/offline | pytorch v2.4.1 | Ubuntu 22.04 (linux-6.2.0-39-generic-glibc2.35) | Automated by MLCommons CM v2.3.9. | 1 | 0 | v4.1 | 0 | False | Samples/s | fp32 | | ||
| 4 | MLCommons | available | open | edge | gh_action | gh_action-reference-gpu-pytorch_v2.4.1-default_config | gptj-99 | gptj-99 | Offline | 52.9478 | nan | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 1 | open/MLCommons/results/gh_action-reference-gpu-pytorch_v2.4.1-default_config/gptj-99/offline | pytorch v2.4.1 | Ubuntu 22.04 (linux-6.2.0-39-generic-glibc2.35) | Automated by MLCommons CM v2.3.4. | 1 | 0 | v4.1 | 0 | False | Tokens/s | fp32 | | ||
| 5 | MLCommons | available | open | edge | gh_action | gh_action-reference-gpu-pytorch_v2.4.1-default_config | stable-diffusion-xl | stable-diffusion-xl | Offline | 0.345721 | CLIP_SCORE: 15.18544016778469 FID_SCORE: 235.69504308101006 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 1 | open/MLCommons/results/gh_action-reference-gpu-pytorch_v2.4.1-default_config/stable-diffusion-xl/offline | pytorch v2.4.1 | Ubuntu 22.04 (linux-6.2.0-39-generic-glibc2.35) | Automated by MLCommons CM v2.3.4. | 1 | 0 | v4.1 | 0 | False | Samples/s | fp32 | | ||
| 6 | MLCommons | available | open | datacenter | 48ed6105bd85 | 48ed6105bd85-reference-gpu-pytorch_v2.1.0a0-scc24-base | stable-diffusion-xl | stable-diffusion-xl | Offline | 0.373636 | CLIP_SCORE: 15.236237794160843 FID_SCORE: 238.78369342212613 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 1 | open/MLCommons/results/48ed6105bd85-reference-gpu-pytorch_v2.1.0a0-scc24-base/stable-diffusion-xl/offline | TensorRT | Ubuntu 20.04 (linux-6.2.0-39-generic-glibc2.31) | Automated by MLCommons CM v2.3.6. | 1 | 0 | v4.1 | 0 | False | Samples/s | fp32 | | ||
| 7 | MLCommons | available | open | datacenter | f9ac88850adc | f9ac88850adc-reference-gpu-pytorch_v2.4.1-scc24-base | stable-diffusion-xl | stable-diffusion-xl | Offline | 0.376944 | CLIP_SCORE: 15.18544016778469 FID_SCORE: 235.69504308101006 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 1 | open/MLCommons/results/f9ac88850adc-reference-gpu-pytorch_v2.4.1-scc24-base/stable-diffusion-xl/offline | pytorch v2.4.1 | Ubuntu 22.04 (linux-6.2.0-39-generic-glibc2.35) | Automated by MLCommons CM v2.3.9. | 1 | 0 | v4.1 | 0 | False | Samples/s | fp32 | | ||
| 8 | MLCommons | available | open | datacenter | 3b07702db56d | 3b07702db56d-reference-gpu-pytorch_v2.4.1-scc24-base | stable-diffusion-xl | stable-diffusion-xl | Offline | 0.374549 | CLIP_SCORE: 15.18544016778469 FID_SCORE: 235.69504308101006 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 1 | open/MLCommons/results/3b07702db56d-reference-gpu-pytorch_v2.4.1-scc24-base/stable-diffusion-xl/offline | pytorch v2.4.1 | Ubuntu 22.04 (linux-6.2.0-39-generic-glibc2.35) | Automated by MLCommons CM v2.3.9. | 1 | 0 | v4.1 | 0 | False | Samples/s | fp32 | |
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100 |
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TBD |
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...ons/measurements/13fce262fb79-reference-gpu-pytorch_v2.4.1-scc24-base/README.md
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| Model | Scenario | Accuracy | Throughput | Latency (in ms) | | ||
|---------------------|------------|-----------------------|--------------|-------------------| | ||
| stable-diffusion-xl | offline | (15.18544, 235.69504) | 0.376 | - | |
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{ | ||
"starting_weights_filename": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0", | ||
"retraining": "no", | ||
"input_data_types": "fp32", | ||
"weight_data_types": "fp32", | ||
"weight_transformations": "no" | ||
} |
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This experiment is generated using the [MLCommons Collective Mind automation framework (CM)](https://github.com/mlcommons/cm4mlops). | ||
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*Check [CM MLPerf docs](https://docs.mlcommons.org/inference) for more details.* | ||
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## Host platform | ||
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* OS version: Linux-6.2.0-39-generic-x86_64-with-glibc2.35 | ||
* CPU version: x86_64 | ||
* Python version: 3.10.12 (main, Sep 11 2024, 15:47:36) [GCC 11.4.0] | ||
* MLCommons CM version: 3.0.1 | ||
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## CM Run Command | ||
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See [CM installation guide](https://docs.mlcommons.org/inference/install/). | ||
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```bash | ||
pip install -U cmind | ||
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cm rm cache -f | ||
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cm pull repo gateoverflow@cm4mlops --checkout=cfdb5f7dd34057f75d35fa296becaeae4aadf532 | ||
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cm run script \ | ||
--tags=app,mlperf,inference,generic,_reference,_sdxl,_pytorch,_cuda,_test,_r4.1-dev_default,_float16,_offline \ | ||
--quiet=true \ | ||
--env.CM_MLPERF_MODEL_SDXL_DOWNLOAD_TO_HOST=yes \ | ||
--env.CM_QUIET=yes \ | ||
--env.CM_MLPERF_IMPLEMENTATION=reference \ | ||
--env.CM_MLPERF_MODEL=sdxl \ | ||
--env.CM_MLPERF_RUN_STYLE=test \ | ||
--env.CM_MLPERF_BACKEND=pytorch \ | ||
--env.CM_MLPERF_SUBMISSION_SYSTEM_TYPE=datacenter \ | ||
--env.CM_MLPERF_CLEAN_ALL=True \ | ||
--env.CM_MLPERF_DEVICE=cuda \ | ||
--env.CM_MLPERF_USE_DOCKER=True \ | ||
--env.CM_MLPERF_MODEL_PRECISION=float16 \ | ||
--env.OUTPUT_BASE_DIR=/home/arjun/scc_gh_action_results \ | ||
--env.CM_MLPERF_LOADGEN_SCENARIO=Offline \ | ||
--env.CM_MLPERF_INFERENCE_SUBMISSION_DIR=/home/arjun/scc_gh_action_submissions \ | ||
--env.CM_MLPERF_INFERENCE_VERSION=4.1-dev \ | ||
--env.CM_RUN_MLPERF_INFERENCE_APP_DEFAULTS=r4.1-dev_default \ | ||
--env.CM_MLPERF_SUBMISSION_GENERATION_STYLE=short \ | ||
--env.CM_MLPERF_SUT_NAME_RUN_CONFIG_SUFFIX4=scc24-base \ | ||
--env.CM_MLPERF_LOADGEN_ALL_MODES=yes \ | ||
--env.CM_MLPERF_LAST_RELEASE=v4.0 \ | ||
--env.CM_TMP_CURRENT_PATH=/home/arjun/actions-runner/_work/cm4mlops/cm4mlops \ | ||
--env.CM_TMP_PIP_VERSION_STRING= \ | ||
--env.CM_CLEAN_EXTRA_CACHE_RM_TAGS=scc24-main \ | ||
--env.CM_MODEL=sdxl \ | ||
--env.CM_MLPERF_LOADGEN_COMPLIANCE=no \ | ||
--env.CM_MLPERF_CLEAN_SUBMISSION_DIR=yes \ | ||
--env.CM_RERUN=yes \ | ||
--env.CM_MLPERF_LOADGEN_EXTRA_OPTIONS= \ | ||
--env.CM_MLPERF_LOADGEN_MODE=performance \ | ||
--env.CM_MLPERF_LOADGEN_SCENARIOS,=Offline \ | ||
--env.CM_MLPERF_LOADGEN_MODES,=performance,accuracy \ | ||
--env.CM_OUTPUT_FOLDER_NAME=test_results \ | ||
--add_deps_recursive.get-mlperf-inference-results-dir.tags=_version.r4_1-dev \ | ||
--add_deps_recursive.get-mlperf-inference-submission-dir.tags=_version.r4_1-dev \ | ||
--add_deps_recursive.mlperf-inference-nvidia-scratch-space.tags=_version.r4_1-dev \ | ||
--add_deps_recursive.submission-checker.tags=_short-run \ | ||
--add_deps_recursive.coco2014-preprocessed.tags=_size.50,_with-sample-ids \ | ||
--add_deps_recursive.coco2014-dataset.tags=_size.50,_with-sample-ids \ | ||
--add_deps_recursive.nvidia-preprocess-data.extra_cache_tags=scc24-base \ | ||
--v=False \ | ||
--print_env=False \ | ||
--print_deps=False \ | ||
--dump_version_info=True \ | ||
--env.OUTPUT_BASE_DIR=/home/arjun/scc_gh_action_results \ | ||
--env.CM_MLPERF_INFERENCE_SUBMISSION_DIR=/home/arjun/scc_gh_action_submissions \ | ||
--env.SDXL_CHECKPOINT_PATH=/home/cmuser/CM/repos/local/cache/6be1f30ecbde4c4e/stable_diffusion_fp16 | ||
``` | ||
*Note that if you want to use the [latest automation recipes](https://docs.mlcommons.org/inference) for MLPerf (CM scripts), | ||
you should simply reload gateoverflow@cm4mlops without checkout and clean CM cache as follows:* | ||
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```bash | ||
cm rm repo gateoverflow@cm4mlops | ||
cm pull repo gateoverflow@cm4mlops | ||
cm rm cache -f | ||
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``` | ||
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## Results | ||
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Platform: 13fce262fb79-reference-gpu-pytorch_v2.4.1-scc24-base | ||
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Model Precision: fp32 | ||
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### Accuracy Results | ||
`CLIP_SCORE`: `15.18544`, Required accuracy for closed division `>= 31.68632` and `<= 31.81332` | ||
`FID_SCORE`: `235.69504`, Required accuracy for closed division `>= 23.01086` and `<= 23.95008` | ||
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### Performance Results | ||
`Samples per second`: `0.375843` |
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