cuDNN 7.6.4.38-gcccuda-2019b

There is a newer version of cuDNN

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.

Accessing cuDNN 7.6.4.38-gcccuda-2019b

To load the module for cuDNN 7.6.4.38-gcccuda-2019b please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load cuDNN/7.6.4.38-gcccuda-2019b

BEAR Apps Version

2020b

More Information

For more information visit the cuDNN website.

Dependencies

This version of cuDNN has a direct dependency on: gcccuda/2019b

Required By

This version of cuDNN is a direct dependent of: JAX/0.1.77-fosscuda-2019b-Python-3.7.4 PyTorch/1.4.0-fosscuda-2019b-Python-3.7.4 PyTorch/1.3.1-fosscuda-2019b-Python-3.7.4 PyTorch/1.6.0-fosscuda-2019b-Python-3.7.4 TensorFlow/2.0.0-fosscuda-2019b-Python-3.7.4 TensorFlow/1.15.0-fosscuda-2019b-Python-3.7.4 TensorFlow/2.2.0-fosscuda-2019b-Python-3.7.4 Theano/1.0.4-fosscuda-2019b-Python-3.7.4

Other Versions

These versions of cuDNN are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 19th November 2019