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add cuda

add cuda #1

Workflow file for this run

name: Build Python Wheels (Linux CUDA)
on:
push:
branches:
- main
tags:
- '*'
pull_request:
branches:
- main
release:
types: [published]
workflow_dispatch:
concurrency:
group: ${{ github.workflow }}-${{ github.event_name }}-${{ github.head_ref || github.ref }}
cancel-in-progress: ${{ github.event_name == 'pull_request' }}
jobs:
build-cuda-wheels:
name: Build CUDA Wheels (Linux)
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
show-progress: true
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Build wheels
uses: pypa/cibuildwheel@v3.1.0
env:
CIBW_BUILD: "cp311-*linux*"
CIBW_MANYLINUX_X86_64_IMAGE: "quay.io/pypa/manylinux_2_28_x86_64:latest"
CIBW_BEFORE_BUILD: |
# Install CUDA toolkit
# For manylinux containers, you may need to install CUDA manually
# Option 1: Use system package manager (if available)
yum install -y cuda-toolkit-12-4 2>/dev/null || \
apt-get update && apt-get install -y nvidia-cuda-toolkit 2>/dev/null || \
echo "CUDA toolkit installation skipped - may need manual setup"
# Set CUDA environment variables
export CUDA_HOME=/usr/local/cuda
export PATH=$PATH:/usr/local/cuda/bin
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
# Verify CUDA if available
if command -v nvcc &> /dev/null; then
echo "CUDA compiler version:"
nvcc --version || true
fi
CIBW_ENVIRONMENT: "CUDA_HOME=/usr/local/cuda PATH=$PATH:/usr/local/cuda/bin LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH"
CIBW_CONFIG_SETTINGS: "wheel.build-tag=${{ github.run_number }}"
with:
output-dir: wheelhouse
package-dir: linux-cuda
- name: List built wheels
shell: bash
run: |
echo "Built CUDA wheels:"
ls -lh wheelhouse/*.whl || echo "No wheels found"
- name: Upload wheels
uses: actions/upload-artifact@v4
with:
name: wheelhouse-linux-cuda
path: wheelhouse/*.whl