diff options
| author | B. Watson <yalhcru@gmail.com> | 2020-10-12 21:00:29 -0400 |
|---|---|---|
| committer | Willy Sudiarto Raharjo <willysr@slackbuilds.org> | 2020-10-17 09:38:58 +0700 |
| commit | 9b1f30935afa011a2aec2badf03d49eb8ba2d31b (patch) | |
| tree | ccbbfc136b4d479d741c54d3914992a6c2431e95 | |
| parent | ac5aa9671c1841f483de53906ea851e78eea5267 (diff) | |
development/cudnn: Fix README.
Signed-off-by: B. Watson <yalhcru@gmail.com>
Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
| -rw-r--r-- | development/cudnn/README | 17 |
1 files changed, 9 insertions, 8 deletions
diff --git a/development/cudnn/README b/development/cudnn/README index 097b80517b1a4..d49d4ed0b1aed 100644 --- a/development/cudnn/README +++ b/development/cudnn/README @@ -1,12 +1,13 @@ -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. +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. +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 +Make sure you create the CUDA_HOME environment variable and add it to +your ~/.bashrc. The default should be CUDA_HOME=/usr/share/cuda |