docs.yaml

name: Docs

on:
  workflow_run:
    workflows: [linux_cuda_wheels]
    types:
      - completed

defaults:
  run:
    shell: bash -l -eo pipefail {0}

jobs:
  build:
    runs-on: linux.g5.4xlarge.nvidia.gpu
    strategy:
      fail-fast: false
    steps:
      - name: Check out repo
        uses: actions/checkout@v3
      - name: Setup conda env
        uses: conda-incubator/setup-miniconda@v2
        with:
          auto-update-conda: true
          miniconda-version: "latest"
          activate-environment: test
          python-version: '3.9'
      - name: Update pip
        run: python -m pip install --upgrade pip
      - name: Download wheel
        uses: actions/download-artifact@v3
        with:
          name: pytorch_torchcodec__3.9_cu124_x86_64
          path: pytorch/torchcodec/dist/
      - name: Install torchcodec from the wheel
        run: |
          wheel_path=`find pytorch/torchcodec/dist -type f -name "*.whl"`
          echo Installing $wheel_path
          ${CONDA_RUN} python -m pip install $wheel_path -vvv
      - name: Install FFMPEG and other deps
        run: |
          conda install cuda-nvrtc=12.4 libnpp -c nvidia
          conda install ffmpeg=7 -c conda-forge
          ffmpeg -version
      - name: Install doc dependencies
        run: |
          cd docs
          python -m pip install -r requirements.txt
      - name: Build docs
        run: |
          cd docs
          make html
      - uses: actions/upload-artifact@v3
        with:
          name: Built-Docs
          path: docs/build/html/