Developer Guide and Reference

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

Resampling

Overview

A primitive to compute resampling operation on 1D, 2D or 3D data tensor using Nearest Neighbor, or Linear (Bilinear, Trilinear) interpolation method. More…
// structs struct dnnl_resampling_desc_t; struct dnnl::resampling_backward; struct dnnl::resampling_forward; // global functions dnnl_status_t DNNL_API dnnl_resampling_forward_desc_init( dnnl_resampling_desc_t* resampling_desc, dnnl_prop_kind_t prop_kind, dnnl_alg_kind_t alg_kind, const float* factors, const dnnl_memory_desc_t* src_desc, const dnnl_memory_desc_t* dst_desc ); dnnl_status_t DNNL_API dnnl_resampling_backward_desc_init( dnnl_resampling_desc_t* resampling_desc, dnnl_alg_kind_t alg_kind, const float* factors, const dnnl_memory_desc_t* diff_src_desc, const dnnl_memory_desc_t* diff_dst_desc );

Detailed Documentation

A primitive to compute resampling operation on 1D, 2D or 3D data tensor using Nearest Neighbor, or Linear (Bilinear, Trilinear) interpolation method.
See also:
Resampling in developer guide
Global Functions
dnnl_status_t DNNL_API dnnl_resampling_forward_desc_init( dnnl_resampling_desc_t* resampling_desc, dnnl_prop_kind_t prop_kind, dnnl_alg_kind_t alg_kind, const float* factors, const dnnl_memory_desc_t* src_desc, const dnnl_memory_desc_t* dst_desc )
Initializes a descriptor for a resampling forward propagation primitive.
Destination memory descriptor is allowed to be initialized with dnnl_format_tag_any or with format_kind set to dnnl_format_kind_any.
Parameters:
resampling_desc
Output descriptor for a resampling primitive.
prop_kind
Propagation kind. Possible values are dnnl_forward_training and dnnl_forward_inference.
alg_kind
resampling algorithm kind: either dnnl_resampling_nearest, or dnnl_resampling_linear.
factors
Array of scaling factors for spatial dimension.
src_desc
Source memory descriptor.
dst_desc
Destination memory descriptor.
Returns:
dnnl_success on success and a status describing the error otherwise.
dnnl_status_t DNNL_API dnnl_resampling_backward_desc_init( dnnl_resampling_desc_t* resampling_desc, dnnl_alg_kind_t alg_kind, const float* factors, const dnnl_memory_desc_t* diff_src_desc, const dnnl_memory_desc_t* diff_dst_desc )
Initializes a descriptor for resampling backward propagation primitive.
Parameters:
resampling_desc
Output descriptor for a resampling primitive.
alg_kind
resamplinging algorithm kind: either dnnl_resampling_nearest, or dnnl_resampling_linear.
diff_src_desc
Diff source memory descriptor.
diff_dst_desc
Diff destination memory descriptor.
factors
Array of scaling factors for spatial dimension.
Returns:
dnnl_success on success and a status describing the error otherwise.

Product and Performance Information

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Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.