ConvolutionalParams Struct Reference

#include <dnn_backend_native_layer_conv2d.h>

Data Fields
int32_t	input_num
int32_t	output_num
int32_t	kernel_size
DNNActivationFunc	activation
DNNPaddingParam	padding_method
int32_t	dilation
int32_t	has_bias
float *	kernel
float *	biases

Detailed Description

Definition at line 27 of file dnn_backend_native_layer_conv2d.h.

Field Documentation

input_num

int32_t ConvolutionalParams::input_num

Definition at line 28 of file dnn_backend_native_layer_conv2d.h.

Referenced by add_conv_layer(), dnn_execute_layer_conv2d_thread(), ff_dnn_load_layer_conv2d(), test_with_same_dilate(), and test_with_valid().

output_num

int32_t ConvolutionalParams::output_num

Definition at line 28 of file dnn_backend_native_layer_conv2d.h.

Referenced by add_conv_layer(), dnn_execute_layer_conv2d_thread(), ff_dnn_execute_layer_conv2d(), ff_dnn_load_layer_conv2d(), test_with_same_dilate(), and test_with_valid().

kernel_size

int32_t ConvolutionalParams::kernel_size

Definition at line 28 of file dnn_backend_native_layer_conv2d.h.

Referenced by add_conv_layer(), dnn_execute_layer_conv2d_thread(), ff_dnn_execute_layer_conv2d(), ff_dnn_load_layer_conv2d(), test_with_same_dilate(), and test_with_valid().

activation

DNNActivationFunc ConvolutionalParams::activation

Definition at line 29 of file dnn_backend_native_layer_conv2d.h.

Referenced by add_conv_layer(), dnn_execute_layer_conv2d_thread(), ff_dnn_load_layer_conv2d(), test_with_same_dilate(), and test_with_valid().

padding_method

DNNPaddingParam ConvolutionalParams::padding_method

Definition at line 30 of file dnn_backend_native_layer_conv2d.h.

Referenced by dnn_execute_layer_conv2d_thread(), ff_dnn_execute_layer_conv2d(), ff_dnn_load_layer_conv2d(), test_with_same_dilate(), and test_with_valid().

dilation

int32_t ConvolutionalParams::dilation

Definition at line 31 of file dnn_backend_native_layer_conv2d.h.

Referenced by dnn_execute_layer_conv2d_thread(), ff_dnn_execute_layer_conv2d(), ff_dnn_load_layer_conv2d(), test_with_same_dilate(), and test_with_valid().

has_bias

int32_t ConvolutionalParams::has_bias

Definition at line 32 of file dnn_backend_native_layer_conv2d.h.

Referenced by dnn_execute_layer_conv2d_thread(), ff_dnn_load_layer_conv2d(), test_with_same_dilate(), and test_with_valid().

kernel

float* ConvolutionalParams::kernel

Definition at line 33 of file dnn_backend_native_layer_conv2d.h.

Referenced by add_conv_layer(), dnn_execute_layer_conv2d_thread(), ff_dnn_free_model_native(), ff_dnn_load_layer_conv2d(), test_with_same_dilate(), and test_with_valid().

biases

float* ConvolutionalParams::biases

Definition at line 34 of file dnn_backend_native_layer_conv2d.h.

Referenced by add_conv_layer(), dnn_execute_layer_conv2d_thread(), ff_dnn_free_model_native(), ff_dnn_load_layer_conv2d(), test_with_same_dilate(), and test_with_valid().

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

• libavfilter/dnn/dnn_backend_native_layer_conv2d.h