NVIDIA CUDA Deep Neural Network (cuDNN) is a GPU-accelerated
library of primitives for deep neural networks. It provides highly tuned implementations
of routines arising frequently in DNN applications. These release notes describe the key
features, software enhancements and improvements, and known issues for the NVIDIA cuDNN
8.5.0 and earlier releases.
These support matrices provide a look into the supported versions
of the OS, NVIDIA CUDA, the CUDA driver, and the hardware for the NVIDIA cuDNN 8.5.0
release.
This cuDNN 8.5.0 Installation Guide provides step-by-step
instructions on how to install and check for correct operation of NVIDIA cuDNN on Linux
and Microsoft Windows systems.
This is the API Reference documentation for the NVIDIA cuDNN version
8.5.0 library. This API Reference lists the datatyes and functions per library.
Specifically, this reference consists of a cuDNN datatype reference section that
describes the types of enums and a cuDNN API reference section that describes all
routines in the cuDNN library API. The cuDNN API is a context-based API that allows for
easy multithreading and (optional) interoperability with CUDA streams.
This cuDNN 8.5.0 Developer Guide provides an overview of the NVIDIA
cuDNN features such as customizable data layouts, supporting flexible dimension
ordering, striding, and subregions for the 4D tensors used as inputs and outputs to all
of its routines. This flexibility allows easy integration into any neural network
implementation.
This document is the Software License Agreement (SLA) for NVIDIA
cuDNN. The following contains specific license terms and conditions for NVIDIA cuDNN. By
accepting this agreement, you agree to comply with all the terms and conditions
applicable to the specific product(s) included herein.