cuDNN is a GPU-accelerated library of primitives for deep neural networks. It provides highly tuned implementations of standard routines such as convolution, pooling, recurrent neural networks, and activation functions. Deep learning frameworks use cuDNN to accelerate training and inference on NVIDIA GPUs.
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