Deep Neural Network Library (DNNL)  1.1.3
Performance library for Deep Learning
Public Attributes | List of all members
dnnl_lrn_desc_t Struct Reference

A descriptor of a Local Response Normalization (LRN) operation. More...

#include <dnnl_types.h>

Collaboration diagram for dnnl_lrn_desc_t:
Collaboration graph
[legend]

Public Attributes

dnnl_primitive_kind_t primitive_kind
 The kind of primitive. More...
 
dnnl_prop_kind_t prop_kind
 The kind of propagation. More...
 
dnnl_alg_kind_t alg_kind
 LRN algorithm. More...
 
dnnl_memory_desc_t data_desc
 Source and destination memory descriptor.
 
dnnl_memory_desc_t diff_data_desc
 Source and destination gradient memory descriptor.
 
dnnl_dim_t local_size
 The number of channels to sum over (for cross-channel LRN) or the side length of the square region to sum over (for within-channel LRN). More...
 
float lrn_alpha
 LRN alpha parameter.
 
float lrn_beta
 LRN beta parameter.
 
float lrn_k
 LRN k parameter.
 

Detailed Description

A descriptor of a Local Response Normalization (LRN) operation.

Examples:
cnn_inference_f32.c, and cpu_cnn_training_f32.c.

Member Data Documentation

◆ primitive_kind

dnnl_primitive_kind_t dnnl_lrn_desc_t::primitive_kind

The kind of primitive.

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

◆ prop_kind

dnnl_prop_kind_t dnnl_lrn_desc_t::prop_kind

The kind of propagation.

Possible values: dnnl_forward_training, dnnl_forward_inference, dnnl_backward, and dnnl_backward_data.

◆ alg_kind

dnnl_alg_kind_t dnnl_lrn_desc_t::alg_kind

LRN algorithm.

Possible values: dnnl_lrn_within_channel and dnnl_lrn_across_channels.

◆ local_size

dnnl_dim_t dnnl_lrn_desc_t::local_size

The number of channels to sum over (for cross-channel LRN) or the side length of the square region to sum over (for within-channel LRN).


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