Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)  1.0.4
Performance library for Deep Learning
Public Member Functions | List of all members
mkldnn::batch_normalization_backward::desc Struct Reference

Descriptor for batch normalization backward propagation. More...

#include <mkldnn.hpp>

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Public Member Functions

 desc (prop_kind aprop_kind, const memory::desc &diff_data_desc, const memory::desc &data_desc, float epsilon, normalization_flags flags)
 Initializes a batch normalization descriptor for backward propagation with respect to data and scale-shift parameters using memory descriptors data_desc and diff_data_desc, normalization parameter epsilon, and flags set using bit flags of type mkldnn_batch_normalization_desc_t. More...
 

Detailed Description

Descriptor for batch normalization backward propagation.

Constructor & Destructor Documentation

◆ desc()

mkldnn::batch_normalization_backward::desc::desc ( prop_kind  aprop_kind,
const memory::desc diff_data_desc,
const memory::desc data_desc,
float  epsilon,
normalization_flags  flags 
)
inline

Initializes a batch normalization descriptor for backward propagation with respect to data and scale-shift parameters using memory descriptors data_desc and diff_data_desc, normalization parameter epsilon, and flags set using bit flags of type mkldnn_batch_normalization_desc_t.

Note
In-place operation is supported; that is, diff_src points to the same memory as diff_dst.

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