MLPerf inference LLAMA 2 70B #3
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| # This workflow will install Python dependencies, run tests and lint with a variety of Python versions | |
| # For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions | |
| name: MLPerf inference LLAMA 2 70B | |
| on: | |
| schedule: | |
| - cron: "30 19 * * *" | |
| jobs: | |
| build_reference: | |
| if: github.repository_owner == 'gateoverflow' | |
| runs-on: [ self-hosted, GO-i9, linux, x64 ] | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| python-version: [ "3.12" ] | |
| backend: [ "pytorch" ] | |
| device: [ "cpu" ] | |
| steps: | |
| - name: Install dependencies | |
| run: | | |
| source gh_action/bin/deactivate || python3 -m venv gh_action | |
| source gh_action/bin/activate | |
| export CM_REPOS=$HOME/GH_CM | |
| python3 -m pip install cm4mlops | |
| cm pull repo | |
| - name: Test MLPerf Inference LLAMA 2 70B reference implementation | |
| run: | | |
| cm run script --tags=run-mlperf,inference,_submission,_short --submitter="MLCommons" --model=llama2-70b-99 --implementation=reference --backend=${{ matrix.backend }} --category=datacenter --scenario=Offline --execution_mode=test --device=${{ matrix.device }} --docker --quiet --test_query_count=1 --target_qps=1 --docker_it=no --docker_cm_repo=gateoverflow@cm4mlops --adr.compiler.tags=gcc --hw_name=gh_action --docker_dt=yes --results_dir=$HOME/gh_action_results --submission_dir=$HOME/gh_action_submissions --env.CM_MLPERF_MODEL_LLAMA2_70B_DOWNLOAD_TO_HOST=yes --adr.inference-src.env.CM_GIT_URL=https://github.com/anandhu-eng/inference.git --clean |