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.

Examples:

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).

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

• include/oneapi/dnnl/dnnl_types.h