![]() ![]() The cuDNN library exposes a host API but assumes that for (optional) interoperability with NVIDIA ® CUDA ® streams. ![]() ![]() Network implementation and avoids the input/output transposition steps sometimesĬuDNN offers a context-based API that allows for easy multithreading and This flexibility allows easy integration into any neural The fastest GEMM (matrix multiply)-based implementations of such routines while usingĬuDNN features include customizable data layouts, supporting flexibleĭimension ordering, striding, and subregions for the 4D tensors used as inputs and
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