/*
 * 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);

void ff_dnn_free_model_native(DNNModel **model);

#endif