dnnl::resampling_forward::desc Struct Reference

Descriptor for resampling forward propagation. More...

#include <dnnl.hpp>

Collaboration diagram for dnnl::resampling_forward::desc:

Public Member Functions
	desc (prop_kind prop_kind, algorithm algorithm, const memory::desc &src_desc, const memory::desc &dst_desc)
	Constructs a descriptor for a resampling forward propagation primitive using source and destination memory descriptors.
	desc (prop_kind prop_kind, algorithm algorithm, const std::vector< float > &factors, const memory::desc &src_desc)
	Constructs a descriptor for a resampling forward propagation primitive using source memory descriptor and factors.
	desc (prop_kind prop_kind, algorithm algorithm, const std::vector< float > &factors, const memory::desc &src_desc, const memory::desc &dst_desc)
	Constructs a descriptor for a resampling forward propagation primitive.

Detailed Description

Descriptor for resampling forward propagation.

Examples

resampling.cpp.

Constructor & Destructor Documentation

desc() [1/3]

dnnl::resampling_forward::desc::desc ( prop_kind prop_kind, algorithm algorithm, const memory::desc & src_desc, const memory::desc & dst_desc )

inline

Constructs a descriptor for a resampling forward propagation primitive using source and destination memory descriptors.

Inputs:

• src (dnnl::primitive_desc_base::src_desc(0))

Outputs:

• dst (dnnl::primitive_desc_base::dst_desc(0))

Note

Destination memory descriptor may be initialized with dnnl::memory::format_tag::any value of format_tag.

Parameters

prop_kind	Propagation kind. Possible values are dnnl::prop_kind::forward_training, and dnnl::prop_kind::forward_inference.
algorithm	resampling algorithm kind: either dnnl::algorithm::resampling_nearest, or dnnl::algorithm::resampling_linear
src_desc	Source memory descriptor.
dst_desc	Destination memory descriptor.

desc() [2/3]

dnnl::resampling_forward::desc::desc ( prop_kind prop_kind, algorithm algorithm, const std::vector< float > & factors, const memory::desc & src_desc )

inline

Constructs a descriptor for a resampling forward propagation primitive using source memory descriptor and factors.

Inputs:

• src (dnnl::primitive_desc_base::src_desc(0))

Parameters

prop_kind	Propagation kind. Possible values are dnnl::prop_kind::forward_training, and dnnl::prop_kind::forward_inference.
algorithm	resampling algorithm kind: either dnnl::algorithm::resampling_nearest, or dnnl::algorithm::resampling_linear
factors	Vector of scaling factors for spatial dimension.
src_desc	Source memory descriptor.

desc() [3/3]

dnnl::resampling_forward::desc::desc ( prop_kind prop_kind, algorithm algorithm, const std::vector< float > & factors, const memory::desc & src_desc, const memory::desc & dst_desc )

inline

Constructs a descriptor for a resampling forward propagation primitive.

Inputs:

• src (dnnl::primitive_desc_base::src_desc(0))

Outputs:

• dst (dnnl::primitive_desc_base::dst_desc(0))

Note

Destination memory descriptor may be initialized with dnnl::memory::format_tag::any value of format_tag.

Parameters

prop_kind	Propagation kind. Possible values are dnnl::prop_kind::forward_training, and dnnl::prop_kind::forward_inference.
algorithm	resampling algorithm kind: either dnnl::algorithm::resampling_nearest, or dnnl::algorithm::resampling_linear
factors	Vector of scaling factors for spatial dimension.
src_desc	Source memory descriptor.
dst_desc	Destination memory descriptor.

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

• include/dnnl.hpp