Enum cudnnRNNInputMode

cudnnRNNInputMode_t is an enumerated type used to specify the behavior of the first layer in the cudnnRNNForwardInference(), cudnnRNNForwardTraining(), cudnnRNNBackwardData() and cudnnRNNBackwardWeights() routines.

Namespace: ManagedCuda.CudaDNN

Assembly: CudaDNN.dll

Syntax

public enum cudnnRNNInputMode

Fields

Name	Description
LinearInput	A biased matrix multiplication is performed at the input of the first recurrent layer.
SkipInput	No operation is performed at the input of the first recurrent layer. If CUDNN_SKIP_INPUT is used the leading dimension of the input tensor must be equal to the hidden state size of the network.