MLPerf Inference Nvidia implementations #21
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| name: MLPerf Inference Nvidia implementations | |
| on: | |
| schedule: | |
| - cron: "59 16 * * *" #to be adjusted | |
| jobs: | |
| build_nvidia: | |
| if: github.repository_owner == 'gateoverflow' | |
| runs-on: [ self-hosted, linux, x64, GO-spr ] | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| python-version: [ "3.12" ] | |
| model: [ "resnet50", "retinanet", "bert-99", "bert-99.9", "gptj-99.9", "3d-unet-99.9" ] | |
| steps: | |
| - name: Test MLPerf Inference NVIDIA ${{ matrix.model }} | |
| run: | | |
| if [ -f "gh_action/bin/deactivate" ]; then source gh_action/bin/deactivate; fi | |
| python3 -m venv gh_action | |
| source gh_action/bin/activate | |
| export CM_REPOS=$HOME/GH_CM | |
| pip install --upgrade cm4mlops | |
| cm run script --tags=run-mlperf,inference,_all-scenarios,_submission,_full,_r4.1-dev --execution_mode=valid --gpu_name=rtx_4090 --model=${{ matrix.model }} --submitter="MLCommons" --hw_name=RTX4090x2 --implementation=nvidia --backend=tensorrt --category=datacenter,edge --division=closed --docker_dt=yes --docker_it=no --docker_cm_repo=gateoverflow@cm4mlops --adr.compiler.tags=gcc --device=cuda --use_dataset_from_host=yes --results_dir=$HOME/gh_action_results --submission_dir=$HOME/gh_action_submissions --clean --docker --quiet | |
| cm run script --tags=push,github,mlperf,inference,submission --repo_url=https://github.com/gateoverflow/mlperf_inference_unofficial_submissions_v5.0 --repo_branch=main --commit_message="Results from GH action on NVIDIA_RTX4090x2" --quiet --submission_dir=$HOME/gh_action_submissions --hw_name=RTX4090x2 |