mxnet
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A descriptor of a Local Response Normalization (LRN) operation. More...
#include <dnnl_types.h>
Public Attributes | |
dnnl_primitive_kind_t | primitive_kind |
dnnl_prop_kind_t | prop_kind |
dnnl_alg_kind_t | alg_kind |
dnnl_memory_desc_t | data_desc |
Source and destination memory descriptor. More... | |
dnnl_memory_desc_t | diff_data_desc |
Source and destination gradient memory descriptor. More... | |
dnnl_dim_t | local_size |
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.
dnnl_alg_kind_t dnnl_lrn_desc_t::alg_kind |
LRN algorithm. Possible values: dnnl_lrn_within_channel and dnnl_lrn_across_channels.
dnnl_memory_desc_t dnnl_lrn_desc_t::data_desc |
Source and destination memory descriptor.
dnnl_memory_desc_t dnnl_lrn_desc_t::diff_data_desc |
Source and destination gradient memory descriptor.
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).
float dnnl_lrn_desc_t::lrn_alpha |
LRN alpha parameter.
float dnnl_lrn_desc_t::lrn_beta |
LRN beta parameter.
float dnnl_lrn_desc_t::lrn_k |
LRN k parameter.
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.
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.