ai-suite-rocm-local/.github/workflows/build-and_publish-prebuilts-whl.yml

name: Build and Publish Artifacts

on:
  workflow_dispatch:
    inputs:
      rocm_version:
        description: 'ROCm version'
        required: true
        default: '6.1.2'
      torch_version:
        description: 'Torch version (e.g., rocm6.1)'
        required: true
        default: 'rocm6.1'

jobs:
  build:
    runs-on: ubuntu-latest

    steps:
      - name: Delete huge unnecessary tools folder
        run: rm -rf /opt/hostedtoolcache

      # Step 1: Checkout the repository
      - name: Checkout repository
        uses: actions/checkout@v3

      # Step 2: Set up Docker Buildx
      - name: Set up Docker Buildx
        uses: docker/setup-buildx-action@v3

      # Step 3: Build the Docker image
      - name: Build Docker image
        env:
          ROCM_VERSION: ${{ inputs.rocm_version }}
          TORCH_VERSION: ${{ inputs.torch_version }}
        run: |
          docker build \
            --build-arg ROCM_VERSION=${ROCM_VERSION} \
            --build-arg TORCH_VERSION=${TORCH_VERSION} \
            -t prebuilt-wheels ./prebuilts

      # Step 4: Create a container and run the script
      - name: Run Docker container and generate wheels
        env:
          ROCM_VERSION: ${{ inputs.rocm_version }}
          TORCH_VERSION: ${{ inputs.torch_version }}
        run: |
          docker create --name prebuilt-container \
            -e ROCM_ARCH=${ROCM_ARCH} \
            -e TORCH_VERSION=${TORCH_VERSION} \
            prebuilt-wheels
          docker start -a prebuilt-container

      # Step 5: Copy bitsandbytes wheel artifact to host
      - name: Copy bitsandbytes wheel to host
        run: |
          mkdir -p /tmp/bitsandbytes/dist
          docker cp prebuilt-container:/tmp/bitsandbytes/dist/ /tmp/bitsandbytes/dist/
          ls -l /tmp/bitsandbytes/dist/

      # Step 6: Copy llama-cpp-python wheel artifact to host
      - name: Copy llama-cpp-python wheel to host
        run: |
          mkdir -p /tmp/llama-cpp-python/dist
          docker cp prebuilt-container:/tmp/llama-cpp-python/dist/ /tmp/llama-cpp-python/dist/
          ls -l /tmp/llama-cpp-python/dist/

      # Step 7: Upload bitsandbytes wheel artifact
      - name: Upload bitsandbytes wheel
        uses: actions/upload-artifact@v3
        with:
          name: bitsandbytes-wheels
          path: /tmp/bitsandbytes/dist/*.whl

      # Step 8: Upload llama-cpp-python wheel artifact
      - name: Upload llama-cpp-python wheel
        uses: actions/upload-artifact@v3
        with:
          name: llama-cpp-python-wheels
          path: /tmp/llama-cpp-python/dist/*.whl

      # Step 9: Cleanup Docker container
      - name: Cleanup
        run: |
          docker rm prebuilt-container