#!/bin/bash set -ex PYTHON_VERSION=$1 CUDA_VERSION=$2 PYTHON_ROOT_PATH=/opt/python/cp${PYTHON_VERSION//.}-cp${PYTHON_VERSION//.} if [ ${CUDA_VERSION} = "12.8" ]; then DOCKER_IMAGE="pytorch/manylinux2_28-builder:cuda${CUDA_VERSION}" TORCH_INSTALL="pip install --no-cache-dir --pre torch --index-url https://download.pytorch.org/whl/nightly/cu${CUDA_VERSION//.}" else DOCKER_IMAGE="pytorch/manylinux-builder:cuda${CUDA_VERSION}" TORCH_INSTALL="pip install --no-cache-dir torch==2.5.1 --index-url https://download.pytorch.org/whl/cu${CUDA_VERSION//.}" fi docker run --rm \ -v $(pwd):/sgl-kernel \ ${DOCKER_IMAGE} \ bash -c " # Install CMake (version >= 3.26) - Robust Installation export CMAKE_VERSION_MAJOR=3.31 export CMAKE_VERSION_MINOR=1 echo \"Downloading CMake from: https://cmake.org/files/v\${CMAKE_VERSION_MAJOR}/cmake-\${CMAKE_VERSION_MAJOR}.\${CMAKE_VERSION_MINOR}-linux-x86_64.tar.gz\" wget https://cmake.org/files/v\${CMAKE_VERSION_MAJOR}/cmake-\${CMAKE_VERSION_MAJOR}.\${CMAKE_VERSION_MINOR}-linux-x86_64.tar.gz tar -xzf cmake-\${CMAKE_VERSION_MAJOR}.\${CMAKE_VERSION_MINOR}-linux-x86_64.tar.gz mv cmake-\${CMAKE_VERSION_MAJOR}.\${CMAKE_VERSION_MINOR}-linux-x86_64 /opt/cmake export PATH=/opt/cmake/bin:\$PATH # Debugging CMake echo \"PATH: \$PATH\" which cmake cmake --version ${PYTHON_ROOT_PATH}/bin/${TORCH_INSTALL} && \ ${PYTHON_ROOT_PATH}/bin/pip install --no-cache-dir ninja setuptools==75.0.0 wheel==0.41.0 numpy uv scikit-build-core && \ export TORCH_CUDA_ARCH_LIST='7.5 8.0 8.9 9.0+PTX' && \ export CUDA_VERSION=${CUDA_VERSION} && \ mkdir -p /usr/lib/x86_64-linux-gnu/ && \ ln -s /usr/local/cuda-${CUDA_VERSION}/targets/x86_64-linux/lib/stubs/libcuda.so /usr/lib/x86_64-linux-gnu/libcuda.so && \ cd /sgl-kernel && \ ls -la ${PYTHON_ROOT_PATH}/lib/python${PYTHON_VERSION}/site-packages/wheel/ && \ PYTHONPATH=${PYTHON_ROOT_PATH}/lib/python${PYTHON_VERSION}/site-packages ${PYTHON_ROOT_PATH}/bin/python -m uv build --wheel -Cbuild-dir=build . --color=always --no-build-isolation && \ ./rename_wheels.sh "