1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
|
/*
* Copyright (c) 2020
*
* This file is part of FFmpeg.
*
* FFmpeg is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation; either
* version 2.1 of the License, or (at your option) any later version.
*
* FFmpeg is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with FFmpeg; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
*/
#ifndef AVFILTER_DNN_DNN_BACKEND_NATIVE_LAYER_DENSE_H
#define AVFILTER_DNN_DNN_BACKEND_NATIVE_LAYER_DENSE_H
#include "dnn_backend_native.h"
typedef struct DenseParams{
int32_t input_num, output_num;
DNNActivationFunc activation;
int32_t has_bias;
float *kernel;
float *biases;
} DenseParams;
/**
* @brief Load the Densely-Connected Layer.
*
* It assigns the densely connected layer with DenseParams
* after parsing from the model file context.
*
* @param layer pointer to the DNN layer instance
* @param model_file_context pointer to model file context
* @param file_size model file size to check if data is read
* correctly from the model file
* @param operands_num operand count of the whole model to
* check if data is read correctly from the model file
* @return number of bytes read from the model file
* @retval 0 if out of memory or an error occurs
*/
int ff_dnn_load_layer_dense(Layer *layer, AVIOContext *model_file_context, int file_size, int operands_num);
/**
* @brief Execute the Densely-Connected Layer.
*
* @param operands all operands for the model
* @param input_operand_indexes input operand indexes for this layer
* @param output_operand_index output operand index for this layer
* @param parameters dense layer parameters
* @param ctx pointer to Native model context for logging
* @retval 0 if the execution succeeds
* @retval DNN_ERROR if the execution fails
*/
int ff_dnn_execute_layer_dense(DnnOperand *operands, const int32_t *input_operand_indexes,
int32_t output_operand_index, const void *parameters, NativeContext *ctx);
#endif
|
