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

79 lines
2.4 KiB
YAML

name: Build and Publish Prebuilts Artifacts
on:
workflow_dispatch:
inputs:
rocm_version:
description: 'ROCm version'
required: true
default: '6.2'
torch_version:
description: 'Torch version (e.g., rocm6.2)'
required: true
default: 'rocm6.2'
jobs:
build:
runs-on: ubuntu-latest
steps:
- name: Free Disk Space (Ubuntu)
uses: jlumbroso/free-disk-space@main
with:
tool-cache: false
# Step 1: Checkout the repository
- name: Checkout repository
uses: actions/checkout@v4
# 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
run: |
echo ${{ inputs.rocm_version }}
echo ${{ inputs.torch_version }}
docker build \
--build-arg ROCM_VERSION=${{ inputs.rocm_version }} \
--build-arg TORCH_VERSION=${{ inputs.torch_version }} \
-t prebuilt-wheels ./prebuilts
# Step 4: Create a container and run the script
- name: Run Docker container and generate wheels
run: |
docker create --name prebuilt-container 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/
docker cp prebuilt-container:/tmp/bitsandbytes/dist/ /tmp/bitsandbytes/
# 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/
docker cp prebuilt-container:/tmp/llama-cpp-python/dist/ /tmp/llama-cpp-python/
# Step 7: Upload bitsandbytes wheel artifact
- name: Upload bitsandbytes wheel
uses: actions/upload-artifact@v4
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@v4
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