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/*
* Copyright (c) 2018 Sergey Lavrushkin
*
* 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
*/
/**
* @file
* DNN inference functions interface for native backend.
*/
#ifndef AVFILTER_DNN_BACKEND_NATIVE_H
#define AVFILTER_DNN_BACKEND_NATIVE_H
#include "dnn_interface.h"
#include "libavformat/avio.h"
typedef enum {INPUT, CONV, DEPTH_TO_SPACE} DNNLayerType;
typedef enum {RELU, TANH, SIGMOID} DNNActivationFunc;
typedef struct Layer{
DNNLayerType type;
float *output;
void *params;
} Layer;
typedef struct ConvolutionalParams{
int32_t input_num, output_num, kernel_size;
DNNActivationFunc activation;
float *kernel;
float *biases;
} ConvolutionalParams;
typedef struct InputParams{
int height, width, channels;
} InputParams;
typedef struct DepthToSpaceParams{
int block_size;
} DepthToSpaceParams;
// Represents simple feed-forward convolutional network.
typedef struct ConvolutionalNetwork{
Layer *layers;
int32_t layers_num;
} ConvolutionalNetwork;
DNNModel *ff_dnn_load_model_native(const char *model_filename);
DNNReturnType ff_dnn_execute_model_native(const DNNModel *model, DNNData *outputs, uint32_t nb_output);
void ff_dnn_free_model_native(DNNModel **model);
#endif
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