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Enable nightly CUDA 11.8 builds #1206

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Nov 24, 2022
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Enable nightly CUDA 11.8 builds #1206

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8a4b525
enable nightly builds for CUDA 11.8
ptrblck Nov 24, 2022
bf46225
add CUDA 11.8 version to manywheel, remove 11.3 and 11.5
ptrblck Nov 24, 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 @@ -69,6 +69,13 @@ if [[ -n "$build_with_cuda" ]]; then
export USE_STATIC_CUDNN=0
#for cuda 11.7 include all dynamic loading libraries
DEPS_LIST=(/usr/local/cuda/lib64/libcudnn*.so.8 /usr/local/cuda-11.7/extras/CUPTI/lib64/libcupti.so.11.7)
elif [[ $CUDA_VERSION == 11.8* ]]; then
export TORCH_CUDA_ARCH_LIST="$TORCH_CUDA_ARCH_LIST;6.0;6.1;7.0;7.5;8.0;8.6"
#for cuda 11.8 we use cudnn 8.5
#which does not have single static libcudnn_static.a deliverable to link with
export USE_STATIC_CUDNN=0
#for cuda 11.8 include all dynamic loading libraries
DEPS_LIST=(/usr/local/cuda/lib64/libcudnn*.so.8 /usr/local/cuda-11.8/extras/CUPTI/lib64/libcupti.so.11.8)
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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56 changes: 55 additions & 1 deletion manywheel/build_cuda.sh
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Expand Up @@ -58,7 +58,7 @@ cuda_version_nodot=$(echo $CUDA_VERSION | tr -d '.')

TORCH_CUDA_ARCH_LIST="3.7;5.0;6.0;7.0"
case ${CUDA_VERSION} in
11.[3567])
11.[678])
TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST};7.5;8.0;8.6"
EXTRA_CAFFE2_CMAKE_FLAGS+=("-DATEN_NO_TEST=ON")
;;
Expand Down Expand Up @@ -196,6 +196,60 @@ elif [[ $CUDA_VERSION == "11.7" ]]; then
export LIB_SO_RPATH=$CUDA_RPATHS':$ORIGIN'
export FORCE_RPATH="--force-rpath"
fi
elif [[ $CUDA_VERSION == "11.8" ]]; then
export USE_STATIC_CUDNN=0
# Try parallelizing nvcc as well
export TORCH_NVCC_FLAGS="-Xfatbin -compress-all --threads 2"
DEPS_LIST=(
"/usr/local/cuda/lib64/libcudart.so.11.0"
"/usr/local/cuda/lib64/libnvToolsExt.so.1"
"/usr/local/cuda/lib64/libnvrtc.so.11.2" # this is not a mistake for 11.8, it links to 11.8.89
"/usr/local/cuda/lib64/libnvrtc-builtins.so.11.8"
"$LIBGOMP_PATH"
)
DEPS_SONAME=(
"libcudart.so.11.0"
"libnvToolsExt.so.1"
"libnvrtc.so.11.2"
"libnvrtc-builtins.so.11.8"
"libgomp.so.1"
)

if [[ -z "$PYTORCH_EXTRA_INSTALL_REQUIREMENTS" ]]; then
echo "Bundling with cudnn and cublas."
DEPS_LIST+=(
"/usr/local/cuda/lib64/libcudnn_adv_infer.so.8"
"/usr/local/cuda/lib64/libcudnn_adv_train.so.8"
"/usr/local/cuda/lib64/libcudnn_cnn_infer.so.8"
"/usr/local/cuda/lib64/libcudnn_cnn_train.so.8"
"/usr/local/cuda/lib64/libcudnn_ops_infer.so.8"
"/usr/local/cuda/lib64/libcudnn_ops_train.so.8"
"/usr/local/cuda/lib64/libcudnn.so.8"
"/usr/local/cuda/lib64/libcublas.so.11"
"/usr/local/cuda/lib64/libcublasLt.so.11"
)
DEPS_SONAME+=(
"libcudnn_adv_infer.so.8"
"libcudnn_adv_train.so.8"
"libcudnn_cnn_infer.so.8"
"libcudnn_cnn_train.so.8"
"libcudnn_ops_infer.so.8"
"libcudnn_ops_train.so.8"
"libcudnn.so.8"
"libcublas.so.11"
"libcublasLt.so.11"
)
else
echo "Using cudnn and cublas from pypi."
CUDA_RPATHS=(
'$ORIGIN/../../nvidia/cublas/lib'
'$ORIGIN/../../nvidia/cudnn/lib'
)
CUDA_RPATHS=$(IFS=: ; echo "${CUDA_RPATHS[*]}")
export C_SO_RPATH=$CUDA_RPATHS':$ORIGIN:$ORIGIN/lib'
export LIB_SO_RPATH=$CUDA_RPATHS':$ORIGIN'
export FORCE_RPATH="--force-rpath"
fi
else
echo "Unknown cuda version $CUDA_VERSION"
exit 1
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