onnxruntime/tools/ci_build/github/azure-pipelines/linux-cpu-eager-pipeline.yml

##### start trigger Don't edit it manually, Please do edit set-trigger-rules.py ####
trigger:
  branches:
    include:
    - main
    - rel-*
  paths:
    exclude:
    - docs/**
    - README.md
    - CONTRIBUTING.md
    - BUILD.md
    - 'js/web'
    - 'onnxruntime/core/providers/js'
pr:
  branches:
    include:
    - main
    - rel-*
  paths:
    exclude:
    - docs/**
    - README.md
    - CONTRIBUTING.md
    - BUILD.md
    - 'js/web'
    - 'onnxruntime/core/providers/js'
#### end trigger ####

resources:
  repositories:
  - repository: manylinux
    type: Github
    endpoint: Microsoft
    name: pypa/manylinux
    ref: 5eda9aded5462201e6310105728d33016e637ea7

jobs:
# This pipeline builds the latest PyTorch commit from source
# and use it in ORT tests. See Dockerfile.manylinux2014_lort_cpu
# for the installation steps. Idally, we should only use one pipeline
# for eager mode and LazyTensor, but we split them due to recent
# PyTorch's breaking changes.
#
# TODO: once ORT eager mode can run with latest PyTorch commit, we
# should
#  1. Set --build_eager_mode when running build.py in the
#     first "task" below.
#  2. Copy the second "task" above as the third task below.
- job: BuildAndTestLazyTensor
  timeoutInMinutes: 120
  workspace:
    clean: all
  pool: onnxruntime-Ubuntu2004-AMD-CPU
  steps:
  - checkout: self
    clean: true
    submodules: recursive

  - template: templates/get-docker-image-steps.yml
    parameters:
      Dockerfile: tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_lort_cpu
      Context: tools/ci_build/github/linux/docker
      DockerBuildArgs: "--build-arg BUILD_UID=$( id -u )"
      Repository: onnxruntimecpubuildlort

  - task: CmdLine@2
    displayName: 'Build ORT for Python 3.9'
    inputs:
      script: |
        docker run --rm \
          --volume $(Build.SourcesDirectory):/onnxruntime_src \
          --volume $(Build.BinariesDirectory):/build \
          -e ALLOW_RELEASED_ONNX_OPSET_ONLY=0 \
          -e NIGHTLY_BUILD \
          -e BUILD_BUILDNUMBER \
          onnxruntimecpubuildlort \
            /opt/python/cp39-cp39/bin/python3.9 /onnxruntime_src/tools/ci_build/build.py \
              --build_dir /build --cmake_generator Ninja \
              --config Release \
              --skip_submodule_sync \
              --build_shared_lib \
              --parallel \
              --enable_lazy_tensor --enable_training --build_wheel --skip_test \        
      workingDirectory: $(Build.SourcesDirectory)

  - task: CmdLine@2
    displayName: 'Test DORT with Python 3.9'
    inputs:
      script: |
        docker run --rm \
          --volume $(Build.SourcesDirectory):/onnxruntime_src \
          --volume $(Build.BinariesDirectory):/build \
          -e ALLOW_RELEASED_ONNX_OPSET_ONLY=0 \
          -e NIGHTLY_BUILD \
          -e BUILD_BUILDNUMBER \
          onnxruntimecpubuildlort \
            bash -c "
              export PYTHONPATH=/build/Release && \
              /opt/python/cp39-cp39/bin/python3.9 -m pip install /build/Release/dist/*.whl && \
              /opt/python/cp39-cp39/bin/python3.9 /onnxruntime_src/orttraining/orttraining/test/python/orttraining_test_dort.py && \
              cd /build/Release && /opt/python/cp39-cp39/bin/python3.9 /onnxruntime_src/orttraining/orttraining/test/python/orttraining_test_dort_custom_ops.py"        
      workingDirectory: $(Build.SourcesDirectory)
      condition: succeededOrFailed()

  - template: templates/clean-agent-build-directory-step.yml