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14.2 > Development > cudnn (v5.1_8.0)

The NVIDIA CUDA Deep Neural Network library (cuDNN) is a
GPU-accelerated library of primitives for deep neural networks. cuDNN
provides highly tuned implementations for standard routines such
as forward and backward convolution, pooling, normalization, and
activation layers. cuDNN is part of the NVIDIA Deep Learning SDK.

You will need to register for NVIDIA developer account to download the
source.

Make sure you create the CUDA_HOME environment variable and add it to
your ~/.bashrc. The default should be

CUDA_HOME=/usr/share/cuda

This requires: cudatoolkit

Maintained by: Nikolay Nikolov
Keywords: cudnn,cuda,tensorflow
ChangeLog: cudnn

Homepage:
https://developer.nvidia.com/cudnn

Source Downloads (64bit):
cudnn-8.0-linux-x64-v5.1.tgz (406f4ac7f7ee8aa9e41304c143461a69)

Download SlackBuild:
cudnn.tar.gz
cudnn.tar.gz.asc (FAQ)

(the SlackBuild does not include the source)

Individual Files:
README
cudnn.SlackBuild
cudnn.info
slack-desc

Validated for Slackware 14.2

See our HOWTO for instructions on how to use the contents of this repository.

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