Create unified script and workflow for llama-fast models validationin #4
Workflow file for this run
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| name: executorch | |
| on: | |
| push: | |
| branches: | |
| - main | |
| pull_request: | |
| workflow_dispatch: | |
| jobs: | |
| gather-models: | |
| runs-on: ubuntu-22.04 | |
| outputs: | |
| models: ${{ steps.gather-models.outputs.models }} | |
| steps: | |
| - uses: actions/checkout@v3 | |
| with: | |
| submodules: 'false' | |
| - uses: actions/setup-python@v4 | |
| with: | |
| python-version: '3.11' | |
| - name: Extract the list of models to test | |
| id: gather-models | |
| run: | | |
| set -eux | |
| PYTHONPATH="${PWD}" python ./scripts/gather_test_models.py | |
| test-models-mobile-linux: | |
| name: test-models-mobile-linux | |
| needs: gather-models | |
| strategy: | |
| matrix: ${{ fromJSON(needs.gather-models.outputs.models) }} | |
| runs-on: "32-core-ubuntu" | |
| env: | |
| LLAMA_FAST_ROOT: ${{ github.workspace }} | |
| steps: | |
| - name: Checkout repo | |
| uses: actions/checkout@v3 | |
| - name: Setup Python | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: '3.11' | |
| - name: Print machine info | |
| run: | | |
| echo "Platform: $(uname -s)" | |
| echo "Processor type: $(uname -p)" | |
| echo "Number of processors: $(nproc)" | |
| echo "RAM: $(free -h | awk '/Mem/ {print $2}')" | |
| echo "Disk space: $(df -h --total | awk '/total/ {print $2}')" | |
| - name: Install ExecuTorch | |
| run: | | |
| bash ${LLAMA_FAST_ROOT}/scripts/install_et.sh | |
| - name: Download checkpoints | |
| run: | | |
| bash ${LLAMA_FAST_ROOT}/scripts/install_et.sh download_checkpoints ${{ matrix.checkpoint_name }} ${{ matrix.resources }} | |
| - name: Run inferencec | |
| run: | | |
| pushd ${LLAMA_FAST_ROOT} | |
| export CHECKPOINT_PATH=${LLAMA_FAST_ROOT}/checkpoints/${CHECKPOINT_NAME}/${CHECKPOINT_NAME}.pt | |
| export MODEL_NAME=${CHECKPOINT_NAME} | |
| python generate.py --checkpoint-path ${CHECKPOINT_PATH} --temperature 0 > ${PWD}/output_eager | |
| cat ${PWD}/output_eager | |
| python export.py --checkpoint-path ${CHECKPOINT_PATH} --output-pte-path ${PWD}/${MODEL_NAME}.pte | |
| python generate.py --checkpoint-path ${CHECKPOINT_PATH} --temperature 0 --pte-path ${PWD}/${MODEL_NAME}.pte > ${PWD}/output_et | |
| cat ${PWD}/output_et | |
| echo "Tests complete." | |
| test-models-mobile-macos-m1: | |
| name: test-models-mobile-macos-m1 | |
| needs: gather-models | |
| strategy: | |
| matrix: ${{ fromJSON(needs.gather-models.outputs.models) }} | |
| runs-on: "macos-12" | |
| env: | |
| LLAMA_FAST_ROOT: ${{ github.workspace }} | |
| steps: | |
| - name: Checkout repo | |
| uses: actions/checkout@v3 | |
| - name: Setup Python | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: '3.11' | |
| - name: Print machine info | |
| run: | | |
| echo "Platform: $(uname -s)" | |
| echo "Processor type: $(uname -p)" | |
| echo "Number of processors: $(sysctl -n hw.ncpu)" | |
| echo "RAM: $(sysctl -n hw.memsize | awk '{print $0/1024/1024/1024"g"}')" | |
| echo "Disk space: $(df -h / | awk 'NR==2 {print $2}')" | |
| - name: Install ExecuTorch | |
| run: | | |
| bash ${LLAMA_FAST_ROOT}/scripts/install_et.sh | |
| - name: Download checkpoints | |
| run: | | |
| bash ${LLAMA_FAST_ROOT}/scripts/install_et.sh download_checkpoints ${{ matrix.checkpoint_name }} ${{ matrix.resources }} | |
| - name: Run inference | |
| run: | | |
| pushd ${LLAMA_FAST_ROOT} | |
| export CHECKPOINT_PATH=${LLAMA_FAST_ROOT}/checkpoints/${CHECKPOINT_NAME}/${CHECKPOINT_NAME}.pt | |
| export MODEL_NAME=${CHECKPOINT_NAME} | |
| python generate.py --checkpoint-path ${CHECKPOINT_PATH} --temperature 0 > ${PWD}/output_eager | |
| cat ${PWD}/output_eager | |
| python export.py --checkpoint-path ${CHECKPOINT_PATH} --output-pte-path ${PWD}/${MODEL_NAME}.pte | |
| python generate.py --checkpoint-path ${CHECKPOINT_PATH} --temperature 0 --pte-path ${PWD}/${MODEL_NAME}.pte > ${PWD}/output_et | |
| cat ${PWD}/output_et | |
| echo "Tests complete." |