DeepGemm integrate to sgl-kernel (#4165)

Co-authored-by: sleepcoo <sleepcoo@gmail.com>
Co-authored-by: HandH1998 <1335248067@qq.com>
Co-authored-by: shuaills <shishuaiuoe@gmail.com>
Co-authored-by: yinfan98 <1106310035@qq.com>
Co-authored-by: Yineng Zhang <me@zhyncs.com>

sgl-kernel/build.sh

@@ -11,11 +11,11 @@ else
 fi
 
 docker run --rm \
-    -v "$(pwd)":/sgl-kernel \
+    -v $(pwd):/sgl-kernel \
     pytorch/manylinux-builder:cuda${CUDA_VERSION} \
     bash -c "
     ${PYTHON_ROOT_PATH}/bin/pip install --no-cache-dir torch==2.5.1 --index-url https://download.pytorch.org/whl/cu${CUDA_VERSION//.} && \
-    ${PYTHON_ROOT_PATH}/bin/pip install --no-cache-dir ninja && \
+    ${PYTHON_ROOT_PATH}/bin/pip install --no-cache-dir ninja setuptools==75.0.0 wheel==0.41.0 numpy && \
     export TORCH_CUDA_ARCH_LIST='7.5 8.0 8.9 9.0+PTX' && \
     export CUDA_VERSION=${CUDA_VERSION} && \
     export SGL_KERNEL_ENABLE_BF16=1 && \
@@ -24,5 +24,6 @@ docker run --rm \
     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 && \
-    ${PYTHON_ROOT_PATH}/bin/python setup.py bdist_wheel
+    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 setup.py bdist_wheel
     "