MLPerf inference LLAMA 2 70B #34
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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: "59 04 * * *" | |
jobs: | |
build_reference: | |
if: github.repository_owner == 'gateoverflow' | |
runs-on: [ self-hosted, GO-spr, linux, x64 ] | |
strategy: | |
fail-fast: false | |
matrix: | |
python-version: [ "3.12" ] | |
backend: [ "pytorch" ] | |
device: [ "cpu" ] | |
precision: [ "bfloat16" ] | |
steps: | |
- name: Test MLPerf Inference LLAMA 2 70B reference implementation | |
run: | | |
source gh_action/bin/deactivate || python3 -m venv gh_action | |
source gh_action/bin/activate | |
export CM_REPOS=$HOME/GH_CM | |
pip install cm4mlops | |
pip install tabulate | |
cm pull repo | |
pip install "huggingface_hub[cli]" | |
git config --global credential.helper store | |
huggingface-cli login --token ${{ secrets.HF_TOKEN }} --add-to-git-credential | |
cm run script --tags=run-mlperf,inference,_submission,_short --submitter="MLCommons" --model=llama2-70b-99 --implementation=reference --backend=${{ matrix.backend }} --precision=${{ matrix.precision }} --category=datacenter --scenario=Offline --execution_mode=test --device=${{ matrix.device }} --docker --quiet --test_query_count=1 --target_qps=0.001 --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 --clean | |
cm run script --tags=push,github,mlperf,inference,submission --repo_url=https://github.com/gateoverflow/mlperf_inference_test_submissions_v5.0 --repo_branch=main --commit_message="Results from self hosted Github actions" --quiet --submission_dir=$HOME/gh_action_submissions |