MLPerf inference SDXL (SCC) #83
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| name: MLPerf inference SDXL (SCC) | |
| on: | |
| schedule: | |
| - cron: "20 01 * * *" | |
| jobs: | |
| build_reference: | |
| if: github.repository_owner == 'gateoverflow' | |
| runs-on: [ self-hosted, linux, x64, GO-spr ] | |
| env: | |
| CM_REPOS: $HOME/GH_CM | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| python-version: [ "3.12" ] | |
| backend: [ "pytorch" ] | |
| precision: [ "float16" ] | |
| device: [ "cuda" ] | |
| steps: | |
| - name: Test MLPerf Inference reference SDXL SCC | |
| run: | | |
| if [ -f "gh_action/bin/deactivate" ]; then source gh_action/bin/deactivate; fi | |
| python3 -m venv gh_action | |
| source gh_action/bin/activate | |
| export CM_REPOS=$HOME/GH_CM | |
| pip install --upgrade cm4mlops | |
| pip install tabulate | |
| cm pull repo | |
| cm run script --tags=run-mlperf,inference,_find-performance,_r4.1-dev,_short,_scc24-base --pull_changes=yes --model=sdxl --implementation=reference --backend=${{ matrix.backend }} --category=datacenter --scenario=Offline --execution_mode=test --device=${{ matrix.device }} --precision=${{ matrix.precision }} --docker --docker_it=no --docker_cm_repo=gateoverflow@cm4mlops --docker_dt=yes --quiet --results_dir=$HOME/scc_gh_action_results --submission_dir=$HOME/scc_gh_action_submissions --precision=float16 --env.CM_MLPERF_MODEL_SDXL_DOWNLOAD_TO_HOST=yes --clean | |
| cm run script --tags=run-mlperf,inference,_r4.1-dev,_short,_scc24-base --model=sdxl --implementation=reference --backend=${{ matrix.backend }} --category=datacenter --scenario=Offline --execution_mode=test --device=${{ matrix.device }} --precision=${{ matrix.precision }} --docker --docker_it=no --docker_cm_repo=gateoverflow@cm4mlops --docker_dt=yes --quiet --results_dir=$HOME/scc_gh_action_results --submission_dir=$HOME/scc_gh_action_submissions --precision=float16 --env.CM_MLPERF_MODEL_SDXL_DOWNLOAD_TO_HOST=yes --clean | |
| cm run script --tags=generate,inference,submission --clean --run-checker --tar=yes --env.CM_TAR_OUTFILE=submission.tar.gz --division=open --category=datacenter --run_style=test --adr.submission-checker.tags=_short-run --quiet --submitter=MLCommons --submission_dir=$HOME/scc_gh_action_submissions --results_dir=$HOME/scc_gh_action_results/test_results | |
| cm run script --tags=push,github,mlperf,inference,submission --repo_url=https://github.com/gateoverflow/cm4mlperf-inference --repo_branch=mlperf-inference-results-scc24 --commit_message="Results from self hosted Github actions - NVIDIARTX4090" --quiet --submission_dir=$HOME/scc_gh_action_submissions | |
| build_nvidia: | |
| if: github.repository_owner == 'gateoverflow' | |
| runs-on: [ self-hosted, linux, x64, GO-spr] | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| python-version: [ "3.12" ] | |
| backend: [ "tensorrt" ] | |
| precision: [ "float16" ] | |
| implementation: [ "nvidia" ] | |
| steps: | |
| - name: Test MLPerf Inference NVIDIA SDXL SCC | |
| run: | | |
| if [ -f "gh_action/bin/deactivate" ]; then source gh_action/bin/deactivate; fi | |
| python3 -m venv gh_action | |
| source gh_action/bin/activate | |
| export CM_REPOS=$HOME/GH_CM | |
| pip install --upgrade cm4mlops | |
| pip install tabulate | |
| cm pull repo | |
| cm run script --tags=run-mlperf,inference,_find-performance,_r4.1-dev,_short,_scc24-base --pull_changes=yes --model=sdxl --implementation=nvidia --backend=${{ matrix.backend }} --category=datacenter --scenario=Offline --execution_mode=test --device=${{ matrix.device }} --precision=${{ matrix.precision }} --docker --docker_it=no --docker_cm_repo=gateoverflow@cm4mlops --docker_dt=yes --pull_changes --quiet --results_dir=$HOME/scc_gh_action_results --submission_dir=$HOME/scc_gh_action_submissions --env.CM_MLPERF_MODEL_SDXL_DOWNLOAD_TO_HOST=yes --hw_name=go-spr --custom_system_nvidia=yes --clean | |
| cm run script --tags=run-mlperf,inference,_r4.1-dev,_short,_scc24-base --model=sdxl --implementation=nvidia --backend=${{ matrix.backend }} --category=datacenter --scenario=Offline --execution_mode=test --device=${{ matrix.device }} --precision=${{ matrix.precision }} --docker --docker_it=no --docker_cm_repo=gateoverflow@cm4mlops --docker_dt=yes --quiet --results_dir=$HOME/scc_gh_action_results --submission_dir=$HOME/scc_gh_action_submissions --precision=float16 --env.CM_MLPERF_MODEL_SDXL_DOWNLOAD_TO_HOST=yes --clean | |
| cm run script --tags=generate,inference,submission --clean --run-checker --tar=yes --env.CM_TAR_OUTFILE=submission.tar.gz --division=open --category=datacenter --run_style=test --adr.submission-checker.tags=_short-run --quiet --submitter=MLCommons --submission_dir=$HOME/scc_gh_action_submissions --results_dir=$HOME/scc_gh_action_results/test_results | |
| cm run script --tags=push,github,mlperf,inference,submission --repo_url=https://github.com/gateoverflow/cm4mlperf-inference --repo_branch=mlperf-inference-results-scc24 --commit_message="Results from self hosted Github actions - NVIDIARTX4090" --quiet --submission_dir=$HOME/scc_gh_action_submissions |