oneAPI Deep Neural Network Library (oneDNN)
Performance library for Deep Learning
dnnl_pooling_v2_desc_t Struct Reference

A descriptor of a pooling operation. More...

#include <dnnl_types.h>

Collaboration diagram for dnnl_pooling_v2_desc_t:

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
 The kind of pooling algorithm. More...
dnnl_memory_desc_t src_desc
 Source memory descriptor.
dnnl_memory_desc_t diff_src_desc
 Source gradient memory descriptor.
dnnl_memory_desc_t dst_desc
 Destination memory descriptor.
dnnl_memory_desc_t diff_dst_desc
 Destination gradient memory descriptor.
dnnl_dims_t strides
 Pooling kernel strides for spatial dimensions.
dnnl_dims_t kernel
 Pooling kernel spatial dimensions.
dnnl_dims_t padding [2]
 Padding in each spatial dimension. More...
dnnl_data_type_t accum_data_type
 The accumulator data type. Initialized automatically.
dnnl_dims_t dilation
 Pooling dilations for spatial dimensions.

Detailed Description

A descriptor of a pooling operation.

cnn_inference_f32.c, and cpu_cnn_training_f32.c.

Member Data Documentation

◆ primitive_kind

dnnl_primitive_kind_t dnnl_pooling_v2_desc_t::primitive_kind

The kind of primitive.

Used for self-identifying the primitive descriptor. Must be dnnl_pooling_v2.

◆ prop_kind

dnnl_prop_kind_t dnnl_pooling_v2_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_pooling_v2_desc_t::alg_kind

The kind of pooling algorithm.

Possible values: dnnl_pooling_max, dnnl_pooling_avg_include_padding, and dnnl_pooling_avg_exclude_padding.

◆ padding

dnnl_dims_t dnnl_pooling_v2_desc_t::padding[2]

Padding in each spatial dimension.

padding[0] is a padding in the beginning (padding_l), padding[1] is a padding in the end (padding_r).

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