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Data Structures | Functions
dnn_backend_native_layer_avgpool.h File Reference

DNN inference functions interface for native backend. More...

#include "dnn_backend_native.h"

Go to the source code of this file.

Data Structures

struct  AvgPoolParams
 

Functions

int dnn_load_layer_avg_pool (Layer *layer, AVIOContext *model_file_context, int file_size, int operands_num)
 
int dnn_execute_layer_avg_pool (DnnOperand *operands, const int32_t *input_operand_indexes, int32_t output_operand_index, const void *parameters, NativeContext *ctx)
 

Detailed Description

DNN inference functions interface for native backend.

Definition in file dnn_backend_native_layer_avgpool.h.

Function Documentation

int dnn_load_layer_avg_pool ( Layer layer,
AVIOContext model_file_context,
int  file_size,
int  operands_num 
)

Definition at line 29 of file dnn_backend_native_layer_avgpool.c.

int dnn_execute_layer_avg_pool ( DnnOperand operands,
const int32_t input_operand_indexes,
int32_t  output_operand_index,
const void parameters,
NativeContext ctx 
)

When padding_method = SAME, the tensorflow will only padding the hald number of 0 pxiels except the remainders. Eg: assuming the input height = 1080, the strides = 11, so the remainders = 1080 % 11 = 2 and if ksize = 5: it will fill (5 - 2) >> 1 = 1 line before the first line of input image, and 5 - 2 - 1 = 2 lines after the last line of input image. and if ksize = 7: it will fill (7 - 2) >> 1 = 2 lines before the first line of input image, and 7 - 2 - 2 = 3 lines after the last line of input image.

Definition at line 58 of file dnn_backend_native_layer_avgpool.c.

Referenced by test_with_same(), and test_with_valid().