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How to Install cuDNN: Difference between revisions
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<seo title="NVIDIA CUDA cuDNN | cuDNN | RidgeRun Developer" titlemode="replace" keywords="GStreamer, Linux SDK, Linux BSP, Embedded Linux, Device Drivers, Nvidia, Xilinx, TI, NXP, Freescale, Embedded Linux driver development, Linux Software development, Embedded Linux SDK, Embedded Linux Application development, GStreamer Multimedia Framework, cuDNN, NVIDIA cuDNN,NVIDIA CUDA® Deep Neural Network library, NVIDIA CUDA cuDNN." description="This wiki explains about how to Build TensorFlow with GPU Support."></seo> | |||
== Tested OS == | 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 OS 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 NVIDIA 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]. | ||
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</syntaxhighlight> | </syntaxhighlight> | ||
== Validating Installation == | == Validating cuDNN Installation == | ||
<syntaxhighlight lang=bash> | <syntaxhighlight lang=bash> | ||
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./mnistCUDNN | ./mnistCUDNN | ||
</syntaxhighlight> | </syntaxhighlight> | ||
[[Category:Jetson]] | |||