Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)  1.0.4
Performance library for Deep Learning
Public Member Functions | List of all members
mkldnn::pooling_forward::desc Struct Reference

Descriptor for pooling forward propagation. More...

#include <mkldnn.hpp>

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Public Member Functions

 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 &padding_l, const memory::dims &padding_r)
 Initializes a pooling descriptor for forward propagation using aprop_kind (possible values are mkldnn::forward_training and mkldnn::forward_inference), aalgorithm, memory descriptors, and pooling parameters in the spatial domain: strides, kernel sizes, padding_l, and padding_r. More...
 

Detailed Description

Descriptor for pooling forward propagation.

Examples:
cpu_cnn_inference_f32.cpp, cpu_cnn_training_bf16.cpp, and cpu_cnn_training_f32.cpp.

Constructor & Destructor Documentation

◆ desc()

mkldnn::pooling_forward::desc::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 &  padding_l,
const memory::dims &  padding_r 
)
inline

Initializes a pooling descriptor for forward propagation using aprop_kind (possible values are mkldnn::forward_training and mkldnn::forward_inference), aalgorithm, memory descriptors, and pooling parameters in the spatial domain: strides, kernel sizes, padding_l, and padding_r.


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