use self-hosted to build sgl-kernel (#3154)
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@@ -15,6 +15,7 @@ docker run --rm \
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pytorch/manylinux-builder:cuda${CUDA_VERSION} \
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bash -c "
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${PYTHON_ROOT_PATH}/bin/pip install --no-cache-dir torch==2.5.1 --index-url https://download.pytorch.org/whl/cu${CUDA_VERSION//.} && \
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${PYTHON_ROOT_PATH}/bin/pip install --no-cache-dir ninja && \
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export TORCH_CUDA_ARCH_LIST='7.5 8.0 8.9 9.0+PTX' && \
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export CUDA_VERSION=${CUDA_VERSION} && \
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export SGL_KERNEL_ENABLE_BF16=1 && \
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