May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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Installing cuDNN
In this section, we are going to install cuDNN 7.4.2 for both TensorFlow and PyTorch. Follow these steps to get started:
- Download the corresponding archive from the cuDNN repository:
- Use a Terminal and run the following commands from your Downloads directory:
cd Downloadstar -xvzf cudnn-9.0-linux-x64-v7.4.2.24.tgzsudo cp cuda/include/cudnn.h /usr/local/cuda-9.0/includesudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-9.0/lib64/
The -P flag ensures the symbolic links are copied just as they are, instead of as actual files.
- Provide read access system-wide to the cuDNN library in the Linux system:
sudo chmod a+r /usr/local/cuda-9.0/lib64/libcudnn* ...
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