pull.yml

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]
        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