dnn_backend_native_layer_conv2d.h File Reference

#include "dnn_backend_native.h"

Go to the source code of this file.

Data Structures
struct	ConvolutionalParams

Functions
int	ff_dnn_load_layer_conv2d (Layer *layer, AVIOContext *model_file_context, int file_size, int operands_num)
	Load the 2D Convolution Layer. More...
int	ff_dnn_execute_layer_conv2d (DnnOperand *operands, const int32_t *input_operand_indexes, int32_t output_operand_index, const void *parameters, NativeContext *ctx)
	Execute the 2D Convolution Layer. More...

Function Documentation

ff_dnn_load_layer_conv2d()

int ff_dnn_load_layer_conv2d	(	Layer *	layer,
		AVIOContext *	model_file_context,
		int	file_size,
		int	operands_num
	)

Load the 2D Convolution Layer.

It assigns the 2D convolution layer with ConvolutionalParams after parsing from the model file context.

Parameters

layer	pointer to the DNN layer instance
model_file_context	pointer to model file context
file_size	model file size to check if data is read correctly from the model file
operands_num	operand count of the whole model to check if data is read correctly from the model file

Returns

number of bytes read from the model file

Return values

0	if out of memory or an error occurs

Definition at line 46 of file dnn_backend_native_layer_conv2d.c.

ff_dnn_execute_layer_conv2d()

int ff_dnn_execute_layer_conv2d	(	DnnOperand *	operands,
		const int32_t *	input_operand_indexes,
		int32_t	output_operand_index,
		const void *	parameters,
		NativeContext *	ctx
	)

Execute the 2D Convolution Layer.

Parameters

operands	all operands for the model
input_operand_indexes	input operand indexes for this layer
output_operand_index	output operand index for this layer
parameters	convolution parameters
ctx	pointer to Native model context for logging

Return values

0	if the execution succeeds
AVERROR(ENOMEM)	if memory allocation fails
AVERROR(EINVAL)	for invalid arguments

Definition at line 187 of file dnn_backend_native_layer_conv2d.c.

Referenced by test_with_same_dilate(), and test_with_valid().