Add llama benchmark run to github action #1
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| name: A100-perf-nightly | ||
| on: | ||
| schedule: | ||
| - cron: 0 7 * * 0-6 | ||
| jobs: | ||
| benchmark: | ||
| runs-on: linux.aws.a100 | ||
| secrets: | ||
| HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }} | ||
| AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }} | ||
| AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | ||
| strategy: | ||
| matrix: | ||
| torch-spec: '--pre torch --index-url https://download.pytorch.org/whl/nightly/cu124' | ||
| steps: | ||
| - uses: actions/checkout@v3 | ||
| - name: Run your own benchmark logic | ||
| shell: bash | ||
| run: | | ||
| set -eux | ||
| conda create -n venv python=3.9 -y | ||
| conda activate venv | ||
| python -m pip install --upgrade pip | ||
| pip install ${{ matrix.torch-spec }} | ||
| pip install -r dev-requirements.txt | ||
| pip install . | ||
| export CONDA=$(dirname $(dirname $(which conda))) | ||
| export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH | ||
| cd torchao/_models/llama | ||
| export CHECKPOINT_PATH=../../../checkpoints # path to checkpoints folder | ||
| export MODEL_REPO=meta-llama/Llama-2-7b-chat-hf | ||
| python scripts/download.py --repo_id meta-llama/Llama-2-7b-chat-hf --hf_token ${{ secrets.HUGGING_FACE_HUB_TOKEN }} | ||
| python scripts/convert_hf_checkpoint.py | ||
| python generate.py --checkpoint_path $CHECKPOINT_PATH/$MODEL_REPO/model.pth --compile --output_json_path ${{ runner.temp }}/benchmark-results/benchmark-results.json | ||
| - name: Upload the benchmark results to OSS benchmark database for the dashboard | ||
| uses: pytorch/test-infra/.github/actions/upload-benchmark-results@main | ||
| with: | ||
| benchmark-results-dir: ${{ runner.temp }}/benchmark-results | ||
| dry-run: false | ||
| schema-version: v3 | ||
| github-token: ${{ secrets.GITHUB_TOKEN }} | ||
