dnnl::convolution_backward_data::desc Struct Reference

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

#include <dnnl.hpp>

Collaboration diagram for dnnl::convolution_backward_data::desc:

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

Detailed Description

Descriptor for a convolution backward propagation primitive.

Constructor & Destructor Documentation

desc() [1/2]

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

inline

Constructs a descriptor for a convolution backward propagation primitive.

Note

All the memory descriptors may be initialized with the dnnl::memory::format_tag::any value of format_tag.

Arrays strides, 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	Convolution algorithm. Possible values are dnnl::algorithm::convolution_direct, dnnl::algorithm::convolution_winograd, and dnnl::algorithm::convolution_auto.
diff_src_desc	Diff source memory descriptor.
weights_desc	Weights memory descriptor.
diff_dst_desc	Diff destination memory descriptor.
strides	Strides for each 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).

desc() [2/2]

dnnl::convolution_backward_data::desc::desc ( algorithm  aalgorithm, const memory::desc &  diff_src_desc, const memory::desc &  weights_desc, const memory::desc &  diff_dst_desc, const memory::dims &  strides, const memory::dims &  dilates, const memory::dims &  padding_l, const memory::dims &  padding_r  )

inline

Constructs a descriptor for dilated convolution backward propagation primitive.

Note

All the memory descriptors may be initialized with the dnnl::memory::format_tag::any value of format_tag.

Arrays strides, dilates, 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	Convolution algorithm. Possible values are dnnl::algorithm::convolution_direct, dnnl::algorithm::convolution_winograd, and dnnl::algorithm::convolution_auto.
diff_src_desc	Diff source memory descriptor.
weights_desc	Weights memory descriptor.
diff_dst_desc	Diff destination memory descriptor.
strides	Strides for each spatial dimension.
dilates	Dilations for each spatial dimension. A zero value means no dilation in the corresponding 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