Add memory planning tests to Cadence #28634
Workflow file for this run
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| name: pull | |
| on: | |
| pull_request: | |
| push: | |
| branches: | |
| - main | |
| - release/* | |
| workflow_dispatch: | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }} | |
| cancel-in-progress: true | |
| jobs: | |
| gather-models: | |
| runs-on: ubuntu-22.04 | |
| outputs: | |
| models: ${{ steps.gather-models.outputs.models }} | |
| steps: | |
| - uses: actions/checkout@v3 | |
| with: | |
| submodules: 'false' | |
| - uses: actions/setup-python@v4 | |
| with: | |
| python-version: '3.10' | |
| - name: Extract the list of models to test | |
| id: gather-models | |
| run: | | |
| set -eux | |
| PYTHONPATH="${PWD}" python .ci/scripts/gather_test_models.py --event "${GITHUB_EVENT_NAME}" | |
| test-setup-linux-gcc: | |
| name: test-setup-linux-gcc | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| strategy: | |
| fail-fast: false | |
| with: | |
| runner: linux.2xlarge | |
| docker-image: executorch-ubuntu-22.04-gcc9 | |
| submodules: 'true' | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| timeout: 90 | |
| script: | | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| BUILD_TOOL="cmake" | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "${BUILD_TOOL}" | |
| # Build and test ExecuTorch with the add model on portable backend. | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "add" "${BUILD_TOOL}" "portable" | |
| test-models-linux: | |
| name: test-models-linux | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| needs: gather-models | |
| strategy: | |
| matrix: ${{ fromJSON(needs.gather-models.outputs.models) }} | |
| fail-fast: false | |
| with: | |
| runner: ${{ matrix.runner }} | |
| docker-image: executorch-ubuntu-22.04-clang12 | |
| submodules: 'true' | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| timeout: ${{ matrix.timeout }} | |
| script: | | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| MODEL_NAME=${{ matrix.model }} | |
| BUILD_TOOL=${{ matrix.build-tool }} | |
| BACKEND=${{ matrix.backend }} | |
| DEMO_BACKEND_DELEGATION=${{ matrix.demo_backend_delegation }} | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "${BUILD_TOOL}" | |
| # Build and test ExecuTorch | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}" "${DEMO_BACKEND_DELEGATION}" | |
| test-llama-runner-linux: | |
| name: test-llama-runner-linux | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| strategy: | |
| matrix: | |
| dtype: [fp32] | |
| mode: [portable, xnnpack+custom, xnnpack+custom+qe,xnnpack+custom+quantize_kv,xnnpack+quantize_kv] | |
| include: | |
| - dtype: bf16 | |
| mode: portable | |
| - dtype: bf16 | |
| mode: custom | |
| fail-fast: false | |
| with: | |
| runner: linux.2xlarge | |
| docker-image: executorch-ubuntu-22.04-clang12 | |
| submodules: 'true' | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| timeout: 900 | |
| upload-artifact: android-models | |
| upload-artifact-to-s3: true | |
| script: | | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| DTYPE=${{ matrix.dtype }} | |
| BUILD_TOOL="cmake" | |
| MODE=${{ matrix.mode }} | |
| ARTIFACTS_DIR_NAME="artifacts-to-be-uploaded/${DTYPE}-${MODE}" | |
| ARTIFACTS_DIR_NAME="${ARTIFACTS_DIR_NAME/+/-}" | |
| # Setup executorch | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "${BUILD_TOOL}" | |
| # Install requirements for export_llama | |
| PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh | |
| # Test llama2 | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -dtype "${DTYPE}" -mode "${MODE}" -upload "${ARTIFACTS_DIR_NAME}" | |
| test-llama-runner-linux-android: | |
| name: test-llama-runner-linux-android | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| strategy: | |
| fail-fast: false | |
| with: | |
| runner: linux.2xlarge | |
| docker-image: executorch-ubuntu-22.04-clang12-android | |
| submodules: 'true' | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| timeout: 90 | |
| script: | | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| BUILD_TOOL="cmake" | |
| PYTHON_EXECUTABLE=python \ | |
| bash .ci/scripts/build_llama_android.sh "${BUILD_TOOL}" | |
| test-custom-ops-linux: | |
| name: test-custom-ops-linux | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| strategy: | |
| fail-fast: false | |
| with: | |
| runner: linux.2xlarge | |
| docker-image: executorch-ubuntu-22.04-clang12 | |
| submodules: 'true' | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| timeout: 90 | |
| script: | | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| BUILD_TOOL="cmake" | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "${BUILD_TOOL}" | |
| # Test custom ops | |
| PYTHON_EXECUTABLE=python bash examples/portable/custom_ops/test_custom_ops.sh "${BUILD_TOOL}" | |
| test-selective-build-linux: | |
| name: test-selective-build-linux | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| strategy: | |
| fail-fast: false | |
| with: | |
| runner: linux.2xlarge | |
| docker-image: executorch-ubuntu-22.04-clang12 | |
| submodules: 'true' | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| timeout: 90 | |
| script: | | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| BUILD_TOOL="cmake" | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "${BUILD_TOOL}" | |
| # Test selective build | |
| PYTHON_EXECUTABLE=python bash examples/selective_build/test_selective_build.sh "${BUILD_TOOL}" | |
| test-llava-runner-linux: | |
| name: test-llava-runner-linux | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| strategy: | |
| fail-fast: false | |
| with: | |
| runner: linux.24xlarge | |
| docker-image: executorch-ubuntu-22.04-clang12 | |
| submodules: 'true' | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| timeout: 90 | |
| script: | | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "cmake" | |
| # install pybind | |
| bash install_requirements.sh --pybind xnnpack | |
| # install Llava requirements | |
| bash examples/models/llama/install_requirements.sh | |
| bash examples/models/llava/install_requirements.sh | |
| # run python unittest | |
| python -m unittest examples.models.llava.test.test_llava | |
| # run e2e (export, tokenizer and runner) | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/test_llava.sh | |
| test-quantized-aot-lib-linux: | |
| name: test-quantized-aot-lib-linux | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| strategy: | |
| fail-fast: false | |
| with: | |
| runner: linux.2xlarge | |
| docker-image: executorch-ubuntu-22.04-clang12 | |
| submodules: 'true' | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| timeout: 90 | |
| script: | | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| BUILD_TOOL="cmake" | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "${BUILD_TOOL}" | |
| PYTHON_EXECUTABLE=python bash examples/xnnpack/quantization/test_quantize.sh "${BUILD_TOOL}" mv2 | |
| test-pybind-build-linux: | |
| name: test-pybind-build-linux | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| strategy: | |
| fail-fast: false | |
| with: | |
| runner: linux.2xlarge | |
| docker-image: executorch-ubuntu-22.04-clang12 | |
| submodules: 'true' | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| timeout: 90 | |
| script: | | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| # build module for executorch.extension.pybindings.portable_lib | |
| BUILD_TOOL="cmake" | |
| PYTHON_EXECUTABLE=python \ | |
| EXECUTORCH_BUILD_XNNPACK=ON \ | |
| EXECUTORCH_BUILD_PYBIND=ON \ | |
| bash .ci/scripts/setup-linux.sh "${BUILD_TOOL}" | |
| # see if we can import the module successfully | |
| python -c "from executorch.extension.pybindings import portable_lib; print('success!')" | |
| test-binary-size-linux-gcc: | |
| name: test-binary-size-linux-gcc | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| strategy: | |
| fail-fast: false | |
| with: | |
| runner: linux.2xlarge | |
| docker-image: executorch-ubuntu-22.04-gcc9 | |
| submodules: 'true' | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| timeout: 90 | |
| script: | | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| # build module for executorch.extension.pybindings.portable_lib | |
| bash test/build_size_test.sh | |
| strip cmake-out/test/size_test | |
| output=$(ls -la cmake-out/test/size_test) | |
| arr=($output) | |
| size=${arr[4]} | |
| # threshold=48120 on devserver with gcc11.4 | |
| # todo(lfq): update once binary size is below 50kb. | |
| threshold="51504" | |
| if [[ "$size" -le "$threshold" ]]; then | |
| echo "Success $size <= $threshold" | |
| else | |
| echo "Fail $size > $threshold" | |
| exit 1 | |
| fi | |
| test-binary-size-linux: | |
| name: test-binary-size-linux | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| strategy: | |
| fail-fast: false | |
| with: | |
| runner: linux.2xlarge | |
| docker-image: executorch-ubuntu-22.04-clang12 | |
| submodules: 'true' | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| timeout: 90 | |
| script: | | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| # build module for executorch.extension.pybindings.portable_lib | |
| bash test/build_size_test.sh | |
| strip cmake-out/test/size_test | |
| output=$(ls -la cmake-out/test/size_test) | |
| arr=($output) | |
| size=${arr[4]} | |
| # threshold=48120 on devserver with gcc11.4 | |
| # todo(lfq): update once binary size is below 50kb. | |
| threshold="51784" | |
| if [[ "$size" -le "$threshold" ]]; then | |
| echo "Success $size <= $threshold" | |
| else | |
| echo "Fail $size > $threshold" | |
| exit 1 | |
| fi | |
| android: | |
| uses: ./.github/workflows/_android.yml | |
| needs: test-llama-runner-linux | |
| unittest: | |
| uses: ./.github/workflows/_unittest.yml | |
| with: | |
| docker-image: executorch-ubuntu-22.04-clang12 | |
| unittest-arm: | |
| uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main | |
| with: | |
| runner: linux.2xlarge | |
| docker-image: executorch-ubuntu-22.04-arm-sdk | |
| submodules: 'true' | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| timeout: 90 | |
| script: | | |
| set -eux | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| BUILD_TOOL="cmake" | |
| # Setup MacOS dependencies as there is no Docker support on MacOS atm | |
| PYTHON_EXECUTABLE=python \ | |
| EXECUTORCH_BUILD_PYBIND=ON \ | |
| EXECUTORCH_BUILD_ARM_BAREMETAL=ON \ | |
| .ci/scripts/setup-linux.sh "${BUILD_TOOL}" | |
| source .ci/scripts/utils.sh | |
| # Install Arm dependencies | |
| install_arm | |
| # Run pytest with coverage | |
| pytest -c /dev/null -v -n auto --cov=./ --cov-report=xml backends/arm/test | |
| test-llama-runner-qnn-linux: | |
| name: test-llama-runner-qnn-linux | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| strategy: | |
| matrix: | |
| dtype: [fp32] | |
| pt2e_quantize: [qnn_16a16w, qnn_8a8w] | |
| mode: [qnn] | |
| fail-fast: false | |
| with: | |
| runner: linux.2xlarge | |
| docker-image: executorch-ubuntu-22.04-qnn-sdk | |
| submodules: 'true' | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| timeout: 900 | |
| script: | | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| DTYPE=${{ matrix.dtype }} | |
| BUILD_TOOL="cmake" | |
| MODE=${{ matrix.mode }} | |
| PT2E_QUANTIZE=${{ matrix.pt2e_quantize }} | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh | |
| # Setup executorch | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "${BUILD_TOOL}" | |
| # Install requirements for export_llama | |
| PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh | |
| # Test llama2 | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" | |
| test-phi-3-mini-runner-linux: | |
| name: test-phi-3-mini-runner-linux | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| strategy: | |
| fail-fast: false | |
| with: | |
| runner: linux.24xlarge | |
| docker-image: executorch-ubuntu-22.04-clang12 | |
| submodules: 'true' | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| timeout: 90 | |
| script: | | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "cmake" | |
| # install pybind | |
| bash install_requirements.sh --pybind xnnpack | |
| # install phi-3-mini requirements | |
| bash examples/models/phi-3-mini/install_requirements.sh | |
| # run e2e (export, tokenizer and runner) | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/test_phi_3_mini.sh | |
| test-eval_llama-wikitext-linux: | |
| name: test-eval_llama-wikitext-linux | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| strategy: | |
| fail-fast: false | |
| with: | |
| runner: linux.24xlarge | |
| docker-image: executorch-ubuntu-22.04-clang12 | |
| submodules: 'true' | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| timeout: 90 | |
| script: | | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "cmake" | |
| # install pybind | |
| bash install_requirements.sh --pybind xnnpack | |
| # install llama requirements | |
| bash examples/models/llama/install_requirements.sh | |
| # run eval_llama wikitext task | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/test_eval_llama_wikitext.sh | |
| test-eval_llama-mmlu-linux: | |
| name: test-eval_llama-mmlu-linux | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| strategy: | |
| fail-fast: false | |
| with: | |
| runner: linux.24xlarge | |
| docker-image: executorch-ubuntu-22.04-clang12 | |
| submodules: 'true' | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| timeout: 90 | |
| script: | | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "cmake" | |
| # install pybind | |
| bash install_requirements.sh --pybind xnnpack | |
| # install llama requirements | |
| bash examples/models/llama/install_requirements.sh | |
| # run eval_llama mmlu task | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/test_eval_llama_mmlu.sh | |
| test-llama_runner_eager-linux: | |
| name: test-llama_runner_eager-linux | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| strategy: | |
| fail-fast: false | |
| with: | |
| runner: linux.24xlarge | |
| docker-image: executorch-ubuntu-22.04-clang12 | |
| submodules: 'true' | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| timeout: 90 | |
| script: | | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "cmake" | |
| # install pybind | |
| bash install_requirements.sh --pybind xnnpack | |
| # install llama requirements | |
| bash examples/models/llama/install_requirements.sh | |
| # run llama runner in eager mode | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama_runner_eager.sh | |
| test-mediatek-models-linux: | |
| name: test-mediatek-models-linux | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| strategy: | |
| fail-fast: false | |
| with: | |
| runner: linux.24xlarge | |
| docker-image: executorch-ubuntu-22.04-mediatek-sdk | |
| submodules: 'true' | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| timeout: 90 | |
| script: | | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| # placeholder for mediatek to add more tests |