Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)
0.21.0
Performance library for Deep Learning
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A descriptor of a Local Response Normalization (LRN) operation. More...
#include <mkldnn_types.h>
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_alg_kind_t | alg_kind |
LRN algorithm. More... | |
mkldnn_memory_desc_t | data_desc |
Source and destination memory descriptor. More... | |
mkldnn_memory_desc_t | diff_data_desc |
Source and destination gradient memory descriptor. More... | |
int | 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. More... | |
float | lrn_beta |
LRN beta parameter. More... | |
float | lrn_k |
LRN k parameter. More... | |
A descriptor of a Local Response Normalization (LRN) operation.
mkldnn_primitive_kind_t mkldnn_lrn_desc_t::primitive_kind |
The kind of primitive.
Used for self-identifying the primitive descriptor. Must be mkldnn_lrn.
mkldnn_prop_kind_t mkldnn_lrn_desc_t::prop_kind |
The kind of propagation.
Possible values: mkldnn_forward_training, mkldnn_forward_inference, mkldnn_backward, and mkldnn_backward_data.
mkldnn_alg_kind_t mkldnn_lrn_desc_t::alg_kind |
LRN algorithm.
Possible values: mkldnn_lrn_within_channel and mkldnn_lrn_across_channels.
mkldnn_memory_desc_t mkldnn_lrn_desc_t::data_desc |
Source and destination memory descriptor.
mkldnn_memory_desc_t mkldnn_lrn_desc_t::diff_data_desc |
Source and destination gradient memory descriptor.
int mkldnn_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).
float mkldnn_lrn_desc_t::lrn_alpha |
LRN alpha parameter.
float mkldnn_lrn_desc_t::lrn_beta |
LRN beta parameter.
float mkldnn_lrn_desc_t::lrn_k |
LRN k parameter.