Intel® oneAPI Deep Neural Network Library Developer Guide and Reference

Developer Guide and Reference

  • 2022.1
  • 04/11/2022
  • Public Content
Contents

struct dnnl::resampling_forward::desc

Overview

Descriptor for resampling forward propagation. More…
#include <dnnl.hpp>

struct desc
{
    // fields

    dnnl_resampling_desc_t data;

    // construction

    desc(
        prop_kind aprop_kind,
        algorithm aalgorithm,
        const memory::desc& src_desc,
        const memory::desc& dst_desc
        );

    desc(
        prop_kind aprop_kind,
        algorithm aalgorithm,
        const std::vector<float>& factors,
        const memory::desc& src_desc
        );

    desc(
        prop_kind aprop_kind,
        algorithm aalgorithm,
        const std::vector<float>& factors,
        const memory::desc& src_desc,
        const memory::desc& dst_desc
        );
};

Detailed Documentation

Descriptor for resampling forward propagation.
Construction
desc(
    prop_kind aprop_kind,
    algorithm aalgorithm,
    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.
Destination memory descriptor may be initialized with dnnl::memory::format_tag::any value of
format_tag
.
Parameters:
aprop_kind
Propagation kind. Possible values are dnnl::prop_kind::forward_training, and dnnl::prop_kind::forward_inference.
aalgorithm
src_desc
Source memory descriptor.
dst_desc
Destination memory descriptor.
 
desc(
    prop_kind aprop_kind,
    algorithm aalgorithm,
    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.
Parameters:
aprop_kind
Propagation kind. Possible values are dnnl::prop_kind::forward_training, and dnnl::prop_kind::forward_inference.
aalgorithm
factors
Vector of scaling factors for spatial dimension.
src_desc
Source memory descriptor.
 
desc(
    prop_kind aprop_kind,
    algorithm aalgorithm,
    const std::vector<float>& factors,
    const memory::desc& src_desc,
    const memory::desc& dst_desc
    )
Constructs a descriptor for a resampling forward propagation primitive.
The destination memory descriptor may be initialized with dnnl::memory::format_tag::any value of
format_tag
.
Parameters:
aprop_kind
Propagation kind. Possible values are dnnl::prop_kind::forward_training, and dnnl::prop_kind::forward_inference.
aalgorithm
factors
Vector of scaling factors for spatial dimension.
src_desc
Source memory descriptor.
dst_desc
Destination memory descriptor.

Product and Performance Information

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