FFmpeg
dnn_backend_native_layer_conv2d.h
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1 /*
2  * Copyright (c) 2018 Sergey Lavrushkin
3  *
4  * This file is part of FFmpeg.
5  *
6  * FFmpeg is free software; you can redistribute it and/or
7  * modify it under the terms of the GNU Lesser General Public
8  * License as published by the Free Software Foundation; either
9  * version 2.1 of the License, or (at your option) any later version.
10  *
11  * FFmpeg is distributed in the hope that it will be useful,
12  * but WITHOUT ANY WARRANTY; without even the implied warranty of
13  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
14  * Lesser General Public License for more details.
15  *
16  * You should have received a copy of the GNU Lesser General Public
17  * License along with FFmpeg; if not, write to the Free Software
18  * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
19  */
20 
21 #ifndef AVFILTER_DNN_DNN_BACKEND_NATIVE_LAYER_CONV2D_H
22 #define AVFILTER_DNN_DNN_BACKEND_NATIVE_LAYER_CONV2D_H
23 
24 #include "dnn_backend_native.h"
25 
28 
29 typedef struct ConvolutionalParams{
35  float *kernel;
36  float *biases;
38 
39 int dnn_load_layer_conv2d(Layer *layer, AVIOContext *model_file_context, int file_size, int operands_num);
40 int dnn_execute_layer_conv2d(DnnOperand *operands, const int32_t *input_operand_indexes,
41  int32_t output_operand_index, const void *parameters);
42 #endif
ConvolutionalParams::kernel
float * kernel
Definition: dnn_backend_native_layer_conv2d.h:35
TANH
@ TANH
Definition: dnn_backend_native_layer_conv2d.h:26
LEAKY_RELU
@ LEAKY_RELU
Definition: dnn_backend_native_layer_conv2d.h:26
dnn_load_layer_conv2d
int dnn_load_layer_conv2d(Layer *layer, AVIOContext *model_file_context, int file_size, int operands_num)
Definition: dnn_backend_native_layer_conv2d.c:26
RELU
@ RELU
Definition: dnn_backend_native_layer_conv2d.h:26
SAME
@ SAME
Definition: dnn_backend_native_layer_conv2d.h:27
ConvolutionalParams::input_num
int32_t input_num
Definition: dnn_backend_native_layer_conv2d.h:30
ConvolutionalParams::activation
DNNActivationFunc activation
Definition: dnn_backend_native_layer_conv2d.h:31
int32_t
int32_t
Definition: audio_convert.c:194
DNNConvPaddingParam
DNNConvPaddingParam
Definition: dnn_backend_native_layer_conv2d.h:27
ConvolutionalParams::has_bias
int32_t has_bias
Definition: dnn_backend_native_layer_conv2d.h:34
SAME_CLAMP_TO_EDGE
@ SAME_CLAMP_TO_EDGE
Definition: dnn_backend_native_layer_conv2d.h:27
ConvolutionalParams::kernel_size
int32_t kernel_size
Definition: dnn_backend_native_layer_conv2d.h:30
DNNActivationFunc
DNNActivationFunc
Definition: dnn_backend_native_layer_conv2d.h:26
AVIOContext
Bytestream IO Context.
Definition: avio.h:161
Layer
Definition: dnn_backend_native.h:51
NONE
@ NONE
Definition: dnn_backend_native_layer_conv2d.h:26
dnn_backend_native.h
ConvolutionalParams::output_num
int32_t output_num
Definition: dnn_backend_native_layer_conv2d.h:30
VALID
@ VALID
Definition: dnn_backend_native_layer_conv2d.h:27
DnnOperand
Definition: dnn_backend_native.h:63
SIGMOID
@ SIGMOID
Definition: dnn_backend_native_layer_conv2d.h:26
ConvolutionalParams::padding_method
DNNConvPaddingParam padding_method
Definition: dnn_backend_native_layer_conv2d.h:32
ConvolutionalParams
Definition: dnn_backend_native_layer_conv2d.h:29
ConvolutionalParams::dilation
int32_t dilation
Definition: dnn_backend_native_layer_conv2d.h:33
ConvolutionalParams::biases
float * biases
Definition: dnn_backend_native_layer_conv2d.h:36
dnn_execute_layer_conv2d
int dnn_execute_layer_conv2d(DnnOperand *operands, const int32_t *input_operand_indexes, int32_t output_operand_index, const void *parameters)
Definition: dnn_backend_native_layer_conv2d.c:91