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Add manywheel special build for including pypi package #1142

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merged 3 commits into from
Sep 20, 2022
Merged

Add manywheel special build for including pypi package #1142

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338f462
Add manywheel special build
atalman Sep 19, 2022
56bff31
address comments
atalman Sep 20, 2022
b16bff2
checking for general setting
atalman Sep 20, 2022
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77 changes: 42 additions & 35 deletions manywheel/build_cuda.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -232,42 +232,49 @@ DEPS_SONAME=(
"libgomp.so.1"
)
elif [[ $CUDA_VERSION == "11.7" ]]; then
export USE_STATIC_CUDNN=0
DEPS_LIST=(
"/usr/local/cuda/lib64/libcudart.so.11.0"
"/usr/local/cuda/lib64/libnvToolsExt.so.1"
"/usr/local/cuda/lib64/libnvrtc.so.11.2" # this is not a mistake for 11.7, it links to 11.7.50
"/usr/local/cuda/lib64/libnvrtc-builtins.so.11.7"
"/usr/local/cuda/lib64/libcudnn_adv_infer.so.8"
"/usr/local/cuda/lib64/libcudnn_adv_train.so.8"
"/usr/local/cuda/lib64/libcudnn_cnn_infer.so.8"
"/usr/local/cuda/lib64/libcudnn_cnn_train.so.8"
"/usr/local/cuda/lib64/libcudnn_ops_infer.so.8"
"/usr/local/cuda/lib64/libcudnn_ops_train.so.8"
"/usr/local/cuda/lib64/libcudnn.so.8"
"/usr/local/cuda/lib64/libcublas.so.11"
"/usr/local/cuda/lib64/libcublasLt.so.11"
"$LIBGOMP_PATH"
)
DEPS_SONAME=(
"libcudart.so.11.0"
"libnvToolsExt.so.1"
"libnvrtc.so.11.2"
"libnvrtc-builtins.so.11.7"
"libcudnn_adv_infer.so.8"
"libcudnn_adv_train.so.8"
"libcudnn_cnn_infer.so.8"
"libcudnn_cnn_train.so.8"
"libcudnn_ops_infer.so.8"
"libcudnn_ops_train.so.8"
"libcudnn.so.8"
"libcublas.so.11"
"libcublasLt.so.11"
"libgomp.so.1"
)
export USE_STATIC_CUDNN=0
# Try parallelizing nvcc as well
export TORCH_NVCC_FLAGS="-Xfatbin -compress-all --threads 2"
DEPS_LIST=(
"/usr/local/cuda/lib64/libcudart.so.11.0"
"/usr/local/cuda/lib64/libnvToolsExt.so.1"
"/usr/local/cuda/lib64/libnvrtc.so.11.2" # this is not a mistake for 11.7, it links to 11.7.50
"/usr/local/cuda/lib64/libnvrtc-builtins.so.11.7"
"$LIBGOMP_PATH"
)
DEPS_SONAME=(
"libcudart.so.11.0"
"libnvToolsExt.so.1"
"libnvrtc.so.11.2"
"libnvrtc-builtins.so.11.7"
"libgomp.so.1"
)

# Try parallelizing nvcc as well
export TORCH_NVCC_FLAGS="-Xfatbin -compress-all --threads 2"
if [[ -z "$PYTORCH_EXTRA_INSTALL_REQUIREMENTS" ]]; then
echo "Bundling with cudnn and cublas."
DEPS_LIST+=(
"/usr/local/cuda/lib64/libcudnn_adv_infer.so.8"
"/usr/local/cuda/lib64/libcudnn_adv_train.so.8"
"/usr/local/cuda/lib64/libcudnn_cnn_infer.so.8"
"/usr/local/cuda/lib64/libcudnn_cnn_train.so.8"
"/usr/local/cuda/lib64/libcudnn_ops_infer.so.8"
"/usr/local/cuda/lib64/libcudnn_ops_train.so.8"
"/usr/local/cuda/lib64/libcudnn.so.8"
"/usr/local/cuda/lib64/libcublas.so.11"
"/usr/local/cuda/lib64/libcublasLt.so.11"
)
DEPS_SONAME+=(
"libcudnn_adv_infer.so.8"
"libcudnn_adv_train.so.8"
"libcudnn_cnn_infer.so.8"
"libcudnn_cnn_train.so.8"
"libcudnn_ops_infer.so.8"
"libcudnn_ops_train.so.8"
"libcudnn.so.8"
"libcublas.so.11"
"libcublasLt.so.11"
)
fi
else
echo "Unknown cuda version $CUDA_VERSION"
exit 1
Expand Down