How to Install cuDNN: Difference between revisions
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The NVIDIA CUDA® Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks.The following is a summary of the cuDNN Installation guide instructions in [https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html NVIDIA's Deep Learning SDK] | The NVIDIA CUDA® Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks.The following is a summary of the cuDNN Installation guide instructions in [https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html NVIDIA's Deep Learning SDK] | ||
== Tested | == Tested Operating Systems for NVIDIA cuDNN == | ||
These instructions have been tested on: | These instructions have been tested on: | ||
* Elementary Hera 5.1 | * Elementary Hera 5.1 | ||
== Download | == Download cuDNN== | ||
Download the following packages from [https://developer.nvidia.com/cudnn cuDNN download page]. | Download the following packages from [https://developer.nvidia.com/cudnn cuDNN download page]. | ||
Revision as of 13:29, 16 February 2020
The NVIDIA CUDA® Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks.The following is a summary of the cuDNN Installation guide instructions in NVIDIA's Deep Learning SDK
Tested Operating Systems for NVIDIA cuDNN
These instructions have been tested on:
- Elementary Hera 5.1
Download cuDNN
Download the following packages from cuDNN download page.
- cuDNN Runtime Library for Ubuntu18.04 (Deb)
- cuDNN Developer Library for Ubuntu18.04 (Deb)
- cuDNN Code Samples and User Guide for Ubuntu18.04 (Deb)
The remainder of the wiki assumes these have been downloaded to **~/Downloads**
Configuration Variables
CUDNN_DIR=~/cuDNN
Installing cuDNN
mkdir -p $CUDNN_DIR mv ~/Downloads/libcudnn* $CUDNN_DIR sudo dpkg -i libcudnn7_7.6.5.32-1+cuda10.2_amd64.deb sudo dpkg -i libcudnn7-dev_7.6.5.32-1+cuda10.2_amd64.deb sudo dpkg -i libcudnn7-doc_7.6.5.32-1+cuda10.2_amd64.deb
Validating cuDNN Installation
cp -r /usr/src/cudnn_samples_v7/ $CUDNN_DIR
cd ${CUDNN_DIR}/cudnn_samples_v7/mnistCUDNN
make clean && make
# Run the test
./mnistCUDNN