Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)  0.21.0
Performance library for Deep Learning
Public Attributes | List of all members
mkldnn_softmax_desc_t Struct Reference

A descriptor of a Softmax operation. More...

#include <mkldnn_types.h>

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Public Attributes

mkldnn_primitive_kind_t primitive_kind
 The kind of primitive. More...
 
mkldnn_prop_kind_t prop_kind
 The kind of propagation. More...
 
mkldnn_memory_desc_t data_desc
 Source and destination memory descriptor. More...
 
mkldnn_memory_desc_t diff_desc
 Source and Destination of gradient memory descriptor. More...
 
int softmax_axis
 The axis along which to perform the softmax. More...
 

Detailed Description

A descriptor of a Softmax operation.

Member Data Documentation

◆ primitive_kind

mkldnn_primitive_kind_t mkldnn_softmax_desc_t::primitive_kind

The kind of primitive.

Used for self-identifying the primitive descriptor. Must be mkldnn_softmax.

◆ prop_kind

mkldnn_prop_kind_t mkldnn_softmax_desc_t::prop_kind

The kind of propagation.

Possible values: mkldnn_forward_training and mkldnn_forward_inference.

◆ data_desc

mkldnn_memory_desc_t mkldnn_softmax_desc_t::data_desc

Source and destination memory descriptor.

◆ diff_desc

mkldnn_memory_desc_t mkldnn_softmax_desc_t::diff_desc

Source and Destination of gradient memory descriptor.

◆ softmax_axis

int mkldnn_softmax_desc_t::softmax_axis

The axis along which to perform the softmax.


The documentation for this struct was generated from the following file: