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Cuda 11.6 include libraries like cudnn and others #1017

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Apr 7, 2022
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Cuda 11.6 include libraries like cudnn and others #1017

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740fa07
Manywheel and conda builds for CUDA 11.6
atalman Apr 7, 2022
e48deb4
Fix typo
atalman Apr 7, 2022
5992999
Correct comment
atalman Apr 7, 2022
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7 changes: 7 additions & 0 deletions conda/pytorch-nightly/build.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -71,6 +71,13 @@ if [[ -n "$build_with_cuda" ]]; then
export USE_STATIC_CUDNN=0
#for cuda 11.5 include all dynamic loading libraries
DEPS_LIST=(/usr/local/cuda/lib64/libcudnn*.so.8 /usr/local/cuda-11.5/extras/CUPTI/lib64/libcupti.so.11.5)
elif [[ $CUDA_VERSION == 11.6* ]]; then
export TORCH_CUDA_ARCH_LIST="$TORCH_CUDA_ARCH_LIST;6.0;6.1;7.0;7.5;8.0;8.6"
#for cuda 11.5 we use cudnn 8.3.2.44 https://docs.nvidia.com/deeplearning/cudnn/release-notes/rel_8.html
#which does not have single static libcudnn_static.a deliverable to link with
export USE_STATIC_CUDNN=0
#for cuda 11.5 include all dynamic loading libraries
DEPS_LIST=(/usr/local/cuda/lib64/libcudnn*.so.8 /usr/local/cuda-11.6/extras/CUPTI/lib64/libcupti.so.11.6)
fi
export NCCL_ROOT_DIR=/usr/local/cuda
export USE_STATIC_NCCL=1 # links nccl statically (driven by tools/setup_helpers/nccl.py, some of the NCCL cmake files such as FindNCCL.cmake and gloo/FindNCCL.cmake)
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39 changes: 39 additions & 0 deletions manywheel/build_cuda.sh
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Expand Up @@ -138,6 +138,8 @@ DEPS_LIST=(
"/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"
)

Expand All @@ -153,6 +155,8 @@ DEPS_SONAME=(
"libcudnn_ops_infer.so.8"
"libcudnn_ops_train.so.8"
"libcudnn.so.8"
"libcublas.so.11"
"libcublasLt.so.11"
"libgomp.so.1"
)
elif [[ $CUDA_VERSION == "11.5" ]]; then
Expand Down Expand Up @@ -189,6 +193,41 @@ DEPS_SONAME=(
"libcublasLt.so.11"
"libgomp.so.1"
)
elif [[ $CUDA_VERSION == "11.6" ]]; then
export USE_STATIC_CUDNN=0
DEPS_LIST=(
"/usr/local/cuda/lib64/libcudart.so.11.0"
"/usr/local/cuda/lib64/libnvToolsExt.so.1"
"/usr/local/cuda/lib64/libnvrtc.so.11.2" # this is not a mistake for 11.6
"/usr/local/cuda/lib64/libnvrtc-builtins.so.11.6"
"/usr/local/cuda/lib64/libcudnn_adv_infer.so.8"
"/usr/local/cuda/lib64/libcudnn_adv_train.so.8"
"/usr/local/cuda/lib64/libcudnn_cnn_infer.so.8"
"/usr/local/cuda/lib64/libcudnn_cnn_train.so.8"
"/usr/local/cuda/lib64/libcudnn_ops_infer.so.8"
"/usr/local/cuda/lib64/libcudnn_ops_train.so.8"
"/usr/local/cuda/lib64/libcudnn.so.8"
"/usr/local/cuda/lib64/libcublas.so.11"
"/usr/local/cuda/lib64/libcublasLt.so.11"
"$LIBGOMP_PATH"
)
DEPS_SONAME=(
"libcudart.so.11.0"
"libnvToolsExt.so.1"
"libnvrtc.so.11.2"
"libnvrtc-builtins.so.11.6"
"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"
)


# Try parallelizing nvcc as well
export TORCH_NVCC_FLAGS="-Xfatbin -compress-all --threads 2"
Expand Down