Enum cudnnDivNormMode

cudnnDivNormMode is an enumerated type used to specify the mode of operation in cudnnDivisiveNormalizationForward() and cudnnDivisiveNormalizationBackward().

Namespace: ManagedCuda.CudaDNN

Assembly: CudaDNN.dll

Syntax

public enum cudnnDivNormMode

Fields

Name

Description

PrecomputedMeans

The means tensor data pointer is expected to contain means or other kernel convolution values precomputed by the user. The means pointer can also be NULL, in that case it's considered to be filled with zeroes. This is equivalent to spatial LRN. Note that in the backward pass the means are treated as independent inputs and the gradient over means is computed independently. In this mode to yield a net gradient over the entire LCN computational graph the destDiffMeans result should be backpropagated through the user's means layer (which can be impelemented using average pooling) and added to the destDiffData tensor produced by cudnnDivisiveNormalizationBackward.