dnnl::pooling_backward::desc Struct Reference

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

#include <dnnl.hpp>

Collaboration diagram for dnnl::pooling_backward::desc:

Public Member Functions
	desc (algorithm aalgorithm, const memory::desc &diff_src_desc, const memory::desc &diff_dst_desc, const memory::dims &strides, const memory::dims &kernel, const memory::dims &padding_l, const memory::dims &padding_r)
	Constructs a descriptor for pooling backward propagation primitive. More...

Detailed Description

Descriptor for a pooling backward propagation primitive.

Examples:

cnn_training_bf16.cpp, and cnn_training_f32.cpp.

Constructor & Destructor Documentation

desc()

dnnl::pooling_backward::desc::desc ( algorithm  aalgorithm, const memory::desc &  diff_src_desc, const memory::desc &  diff_dst_desc, const memory::dims &  strides, const memory::dims &  kernel, const memory::dims &  padding_l, const memory::dims &  padding_r  )

inline

Constructs a descriptor for pooling backward propagation primitive.

Arrays strides, kernel, 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

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).
diff_src_desc	Diff source memory descriptor.
diff_dst_desc	Diff destination memory descriptor.
strides	Vector of strides for spatial dimension.
kernel	Vector of kernel spatial dimensions.
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