ONE - On-device Neural Engine
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nnfw::cker::train::LaunchConv2DBackpropInputOp< T > Struct Template Reference

#include <Conv.h>

Public Member Functions

void operator() (const T *out_backprop_data, int batches, int out_backprop_height, int out_backprop_width, int output_depth, const T *filter_data, int filter_height, int filter_width, int row_dilation, int col_dilation, int row_stride, int col_stride, const PaddingType &padding_type, int padding_top, int padding_bottom, int padding_left, int padding_right, T *in_backprop_data, int in_backprop_height, int in_backprop_width, int input_depth)
 

Detailed Description

template<typename T>
struct nnfw::cker::train::LaunchConv2DBackpropInputOp< T >

Definition at line 122 of file Conv.h.

Member Function Documentation

◆ operator()()

template<typename T >
void nnfw::cker::train::LaunchConv2DBackpropInputOp< T >::operator() ( const T *  out_backprop_data,
int  batches,
int  out_backprop_height,
int  out_backprop_width,
int  output_depth,
const T *  filter_data,
int  filter_height,
int  filter_width,
int  row_dilation,
int  col_dilation,
int  row_stride,
int  col_stride,
const PaddingType padding_type,
int  padding_top,
int  padding_bottom,
int  padding_left,
int  padding_right,
T *  in_backprop_data,
int  in_backprop_height,
int  in_backprop_width,
int  input_depth 
)
inline

Definition at line 124 of file Conv.h.

130 {
131 LaunchConv2DBackpropInputOpImpl<Eigen::ThreadPoolDevice, T> launcher;
132 launcher(*eigen_support::GetThreadPoolDevice(), out_backprop_data, batches, out_backprop_height,
133 out_backprop_width, output_depth, filter_data, filter_height, filter_width,
134 row_dilation, col_dilation, row_stride, col_stride, padding_type, padding_top,
135 padding_bottom, padding_left, padding_right, in_backprop_data, in_backprop_height,
136 in_backprop_width, input_depth);
137 }
const Eigen::ThreadPoolDevice * GetThreadPoolDevice()

References nnfw::cker::eigen_support::GetThreadPoolDevice().


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