Developer Guide and Reference

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

struct dnnl::pooling_v2_forward::desc

Overview

Descriptor for a pooling forward propagation primitive. More…
#include <dnnl.hpp> struct desc { // fields dnnl_pooling_v2_desc_t data; // construction desc( prop_kind aprop_kind, algorithm aalgorithm, const memory::desc& src_desc, const memory::desc& dst_desc, const memory::dims& strides, const memory::dims& kernel, const memory::dims& dilation, const memory::dims& padding_l, const memory::dims& padding_r ); };

Detailed Documentation

Descriptor for a pooling forward propagation primitive.
Construction
desc( prop_kind aprop_kind, algorithm aalgorithm, const memory::desc& src_desc, const memory::desc& dst_desc, const memory::dims& strides, const memory::dims& kernel, const memory::dims& dilation, const memory::dims& padding_l, const memory::dims& padding_r )
Constructs a descriptor for pooling v2 (dilated pooling) forward propagation primitive.
Arrays
strides
,
kernel
,
dilation
,
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:
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.
strides
Vector of strides for spatial dimension.
kernel
Vector of kernel spatial dimensions.
dilation
Array of dilations for 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)
.

Product and Performance Information

1

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