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Upgrade to CUDNN version for cuda 11.7 #84964

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Upgrade to CUDNN version for cuda 11.7 #84964

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8 changes: 7 additions & 1 deletion .circleci/docker/common/install_cudnn.sh
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Expand Up @@ -4,7 +4,13 @@ if [[ ${CUDNN_VERSION} == 8 ]]; then
# cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
mkdir tmp_cudnn && cd tmp_cudnn
CUDNN_NAME="cudnn-linux-x86_64-8.3.2.44_cuda11.5-archive"
curl -OLs https://developer.download.nvidia.com/compute/redist/cudnn/v8.3.2/local_installers/11.5/${CUDNN_NAME}.tar.xz
if [[ ${CUDA_VERSION:0:4} == "11.7" ]]; then
CUDNN_NAME="cudnn-linux-x86_64-8.5.0.96_cuda11-archive"
curl -OLs https://ossci-linux.s3.amazonaws.com/${CUDNN_NAME}.tar.xz
else
curl -OLs https://developer.download.nvidia.com/compute/redist/cudnn/v8.3.2/local_installers/11.5/${CUDNN_NAME}.tar.xz
fi

tar xf ${CUDNN_NAME}.tar.xz
cp -a ${CUDNN_NAME}/include/* /usr/include/
cp -a ${CUDNN_NAME}/include/* /usr/local/cuda/include/
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1 change: 1 addition & 0 deletions .circleci/docker/ubuntu-cuda/Dockerfile
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Expand Up @@ -118,6 +118,7 @@ COPY --from=pytorch/llvm:9.0.1 /opt/llvm /opt/llvm

# Install CUDNN
ARG CUDNN_VERSION
ARG CUDA_VERSION
COPY ./common/install_cudnn.sh install_cudnn.sh
RUN if [ "${CUDNN_VERSION}" -eq 8 ]; then bash install_cudnn.sh; fi
RUN rm install_cudnn.sh
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2 changes: 1 addition & 1 deletion .circleci/scripts/windows_cudnn_install.sh
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Expand Up @@ -18,7 +18,7 @@ case ${CUDA_VERSION} in
;;
11.7)
# Use cudnn8.3 with hard-coded cuda11.5 version
cudnn_file_name="cudnn-windows-x86_64-8.3.2.44_cuda11.5-archive"
cudnn_file_name="cudnn-windows-x86_64-8.5.0.96_cuda11-archive"
;;
*)
echo "CUDA_VERSION: ${CUDA_VERSION} not supported yet"
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