win32-conda-CI.yml

# Python package
# Create and test a Python package on multiple Python versions.
# Add steps that analyze code, save the dist with the build record, publish to a PyPI-compatible index, and more:
# https://docs.microsoft.com/azure/devops/pipelines/languages/python

trigger:
- master

jobs:

- job: 'Test'
  pool:
    vmImage: 'windows-latest'
  strategy:
    matrix:
      Python39-190-RT180:
        python.version: '3.9'
        ONNX_PATH: onnx==1.9.0
        ONNXRT_PATH: onnxruntime==1.8.0
        COREML_PATH: git+https://github.com/apple/coremltools@3.1
        sklearn.version: ''

      Python38-181-RT170:
        python.version: '3.8'
        ONNX_PATH: onnx==1.8.1
        ONNXRT_PATH: onnxruntime==1.7.0
        COREML_PATH: git+https://github.com/apple/coremltools@3.1
        sklearn.version: ''

      Python37-180-RT160:
        python.version: '3.7'
        ONNX_PATH: onnx==1.8.0
        ONNXRT_PATH: onnxruntime==1.6.0
        COREML_PATH: git+https://github.com/apple/coremltools@3.1
        sklearn.version: ''

      Python37-160-RT111:
        python.version: '3.7'
        ONNX_PATH: onnx==1.6.0
        ONNXRT_PATH: onnxruntime==1.1.1
        COREML_PATH: git+https://github.com/apple/coremltools@3.1
        sklearn.version: ''

      Python37-170-RT130:
        python.version: '3.7'
        ONNX_PATH: onnx==1.7.0
        ONNXRT_PATH: onnxruntime==1.3.0
        COREML_PATH: git+https://github.com/apple/coremltools@3.1
        sklearn.version: ''

    maxParallel: 3

  steps:
  - task: UsePythonVersion@0
    inputs:
      versionSpec: '$(python.version)'
      architecture: 'x64'

  - powershell: Write-Host "##vso[task.prependpath]$env:CONDA\Scripts"
    displayName: Add conda to PATH

  - script: conda create --yes --quiet --name py$(python.version) -c conda-forge python=$(python.version) numpy protobuf
    displayName: Create Anaconda environment

  - script: |
      call activate py$(python.version)
      python -m pip install --upgrade pip numpy
      echo Test numpy installation... && python -c "import numpy"
      python -m pip install %COREML_PATH% %ONNX_PATH%
      python -m pip install humming-bird-ml --no-deps
      python -m pip install -r requirements.txt
      python -m pip install torch==1.8.1+cpu torchvision==0.9.1+cpu torchaudio===0.8.1 -f https://download.pytorch.org/whl/torch_stable.html
      python -m pip install -r requirements-dev.txt
      python -m pip install %ONNXRT_PATH%
      python -m pip install scikit-learn$(sklearn.version)
      python -m pip show pytest
    displayName: 'Install dependencies'

  - script: |
      call activate py$(python.version)
      python -m flake8 ./onnxmltools
    displayName: 'run flake8 check'

  - script: |
      call activate py$(python.version)
      python -m pip install -e .
      export PYTHONPATH=.
      python -c "import onnxconverter_common;print(onnxconverter_common.__version__)"
      python -c "import onnxruntime;print(onnxruntime.__version__)"
      python -m pytest tests --doctest-modules --junitxml=junit/test-results.xml
    displayName: 'pytest - onnxmltools'

  - task: PublishTestResults@2
    inputs:
      testResultsFiles: '**/test-results.xml'
      testRunTitle: 'Python $(python.version)'
    condition: succeededOrFailed()