dnnl::pooling_v2_forward::desc Struct Reference

Descriptor for a pooling forward propagation primitive. More...

#include <dnnl.hpp>

Collaboration diagram for dnnl::pooling_v2_forward::desc:

Public Member Functions
	desc (prop_kind aprop_kind, algorithm aalgorithm, const memory::desc &src_desc, const memory::desc &dst_desc, const memory::dims &strides, const memory::dims &kernel, const memory::dims &dilation, const memory::dims &padding_l, const memory::dims &padding_r)
	Constructs a descriptor for pooling v2 (dilated pooling) forward propagation primitive. More...

Detailed Description

Descriptor for a pooling forward propagation primitive.

Examples:

pooling.cpp.

Constructor & Destructor Documentation

desc()

dnnl::pooling_v2_forward::desc::desc ( prop_kind  aprop_kind, algorithm  aalgorithm, const memory::desc &  src_desc, const memory::desc &  dst_desc, const memory::dims &  strides, const memory::dims &  kernel, const memory::dims &  dilation, const memory::dims &  padding_l, const memory::dims &  padding_r  )

inline

Constructs a descriptor for pooling v2 (dilated pooling) forward propagation primitive.

Arrays strides, kernel, dilation, padding_l and padding_r contain values for spatial dimensions only and hence must have the same number of elements as there are spatial dimensions. The order of values is the same as in the tensor: depth (for 3D tensors), height (for 3D and 2D tensors), and width.

Parameters

aprop_kind	Propagation kind. Possible values are dnnl::prop_kind::forward_training, and dnnl::prop_kind::forward_inference.
aalgorithm	Pooling algorithm kind: either dnnl::algorithm::pooling_max, dnnl::algorithm::pooling_avg_include_padding, or dnnl::algorithm::pooling_avg (same as dnnl::algorithm::pooling_avg_exclude_padding).
src_desc	Source memory descriptor.
dst_desc	Destination memory descriptor.
strides	Vector of strides for spatial dimension.
kernel	Vector of kernel spatial dimensions.
dilation	Array of dilations for spatial dimension.
padding_l	Vector of padding values for low indices for each spatial dimension ([[front,] top,] left).
padding_r	Vector of padding values for high indices for each spatial dimension ([[back,] bottom,] right).

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

• include/oneapi/dnnl/dnnl.hpp