lightning/.azure/gpu-tests-fabric.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:
  tags:
    include:
      - '*'
  branches:
    include:
      - "master"
      - "release/*"
      - "refs/tags/*"

pr:
  branches:
    include:
      - "master"
      - "release/*"
  paths:
    include:
      - ".actions/**"
      - ".azure/gpu-tests-fabric.yml"
      - "examples/fabric/**"
      - "examples/run_fabric_examples.sh"
      - "tests/tests_fabric/run_standalone_*.sh"
      - "tests/tests_pytorch/run_standalone_tests.sh"  # used by fabric through a symlink
      - "requirements/fabric/**"
      - "src/lightning/__about__.py"
      - "src/lightning/__init__.py"
      - "src/lightning/__main__.py"
      - "src/lightning/__setup__.py"
      - "src/lightning/__version__.py"
      - "src/lightning/fabric/**"
      - "src/lightning_fabric/*"
      - "tests/tests_fabric/**"
      - "pyproject.toml"  # includes pytest config
    exclude:
      - "requirements/*/docs.txt"
      - "*.md"
      - "**/*.md"

jobs:
  - job: testing
    # how long to run the job before automatically cancelling
    timeoutInMinutes: "20"
    # how much time to give 'run always even if cancelled tasks' before stopping them
    cancelTimeoutInMinutes: "2"
    pool: lit-rtx-3090
    variables:
      DEVICES: $( python -c 'print("$(Agent.Name)".split("_")[-1])' )
      FREEZE_REQUIREMENTS: "1"
      PIP_CACHE_DIR: "/var/tmp/pip"
    container:
      image: "pytorchlightning/pytorch_lightning:base-cuda-py3.9-torch1.13-cuda11.7.1"
      # default shm size is 64m. Increase it to avoid:
      # 'Error while creating shared memory: unhandled system error, NCCL version 2.7.8'
      options: "--gpus=all --shm-size=2gb  -v /var/tmp:/var/tmp"
    strategy:
      matrix:
        'pkg: Fabric':
          scope: ""
          PACKAGE_NAME: "fabric"
        'pkg: Lightning':
          scope: ""
          PACKAGE_NAME: "lightning"
        'PyTorch | future':
          scope: "future"
          PACKAGE_NAME: "fabric"
    workspace:
      clean: all
    steps:
    - bash: |
        echo "##vso[task.setvariable variable=CUDA_VISIBLE_DEVICES]$(DEVICES)"
        cuda_ver=$(python -c "import torch ; print(''.join(map(str, torch.version.cuda.split('.')[:2])))")
        echo "##vso[task.setvariable variable=CUDA_VERSION_MM]$cuda_ver"
        echo "##vso[task.setvariable variable=TORCH_URL]https://download.pytorch.org/whl/cu${cuda_ver}/torch_stable.html"
        scope=$( python -c 'n = "$(PACKAGE_NAME)" ; print(dict(fabric="lightning_fabric").get(n, n))' )
        echo "##vso[task.setvariable variable=COVERAGE_SOURCE]$scope"        
      displayName: 'set env. vars'

    - bash: |
        echo $(DEVICES)
        echo $CUDA_VISIBLE_DEVICES
        echo $CUDA_VERSION_MM
        echo $TORCH_URL
        echo $COVERAGE_SOURCE
        lspci | egrep 'VGA|3D'
        whereis nvidia
        nvidia-smi
        which python && which pip
        python --version
        pip --version
        pip list        
      displayName: 'Image info & NVIDIA'

    - bash: |
        PYTORCH_VERSION=$(python -c "import torch; print(torch.__version__.split('+')[0])")
        for fpath in `ls requirements/**/*.txt`; do \
          python ./requirements/pytorch/adjust-versions.py $fpath ${PYTORCH_VERSION}; \
        done        
      condition: ne(variables['scope'], 'future')
      displayName: 'Adjust dependencies'

    - bash: pip install -e .[dev,strategies,examples] -U --find-links ${TORCH_URL}
      displayName: 'Install package & dependencies'

    - bash: |
        pip uninstall -y torch torchvision
        pip install torch torchvision -U --pre --no-cache -f https://download.pytorch.org/whl/test/cu${CUDA_VERSION_MM}/torch_test.html
        python -c "from torch import __version__ as ver; assert ver.startswith('2.0.0'), ver"        
      condition: eq(variables['scope'], 'future')
      displayName: 'bump to future'

    - bash: |
        set -e
        pip list
        python requirements/collect_env_details.py
        python -c "import torch ; mgpu = torch.cuda.device_count() ; assert mgpu == 2, f'GPU: {mgpu}'"        
      displayName: 'Env details'

    - bash: python -m pytest lightning_fabric
      workingDirectory: src
      condition: eq(variables['PACKAGE_NAME'], 'fabric')
      displayName: 'Testing: Fabric doctests'

    - bash: |
        pip install -q -r .actions/requirements.txt
        python .actions/assistant.py copy_replace_imports --source_dir="./tests/tests_fabric" \
          --source_import="lightning.fabric" \
          --target_import="lightning_fabric"
        python .actions/assistant.py copy_replace_imports --source_dir="./examples/fabric" \
          --source_import="lightning.fabric" \
          --target_import="lightning_fabric"        
      condition: eq(variables['PACKAGE_NAME'], 'fabric')
      displayName: 'Adjust tests & examples'

    - bash: python -m coverage run --source ${COVERAGE_SOURCE} -m pytest --ignore benchmarks -v --durations=50
      workingDirectory: tests/tests_fabric
      env:
        PL_RUN_CUDA_TESTS: "1"
      displayName: 'Testing: fabric standard'
      timeoutInMinutes: "10"

    - bash: bash run_standalone_tests.sh
      workingDirectory: tests/tests_fabric
      env:
        PL_RUN_CUDA_TESTS: "1"
        PL_STANDALONE_TESTS_SOURCE: $(COVERAGE_SOURCE)
      displayName: 'Testing: fabric standalone tests'
      timeoutInMinutes: "10"

    - bash: |
        python -m coverage report
        python -m coverage xml
        python -m coverage html
        python -m codecov --token=$(CODECOV_TOKEN) --commit=$(Build.SourceVersion) \
          --flags=gpu,pytest,${COVERAGE_SOURCE} --name="GPU-coverage" --env=linux,azure
        ls -l        
      workingDirectory: tests/tests_fabric
      displayName: 'Statistics'

    - script: |
        set -e
        bash run_fabric_examples.sh --accelerator=cuda --devices=1
        bash run_fabric_examples.sh --accelerator=cuda --devices=2 --strategy ddp        
      workingDirectory: examples
      displayName: 'Testing: fabric examples'