dnn_backend_native_layer_conv2d.h

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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
 */
 
#ifndef AVFILTER_DNN_DNN_BACKEND_NATIVE_LAYER_CONV2D_H
#define AVFILTER_DNN_DNN_BACKEND_NATIVE_LAYER_CONV2D_H
 
#include "dnn_backend_native.h"
 
 
typedef struct ConvolutionalParams{
    int32_t input_num, output_num, kernel_size;
    DNNActivationFunc activation;
    DNNPaddingParam padding_method;
    int32_t dilation;
    int32_t has_bias;
    float *kernel;
    float *biases;
} ConvolutionalParams;
 
/**
 * @brief Load the 2D Convolution Layer.
 *
 * It assigns the 2D convolution layer with ConvolutionalParams
 * 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_conv2d(Layer *layer, AVIOContext *model_file_context, int file_size, int operands_num);
 
/**
 * @brief Execute the 2D Convolution 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 convolution 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_conv2d(DnnOperand *operands, const int32_t *input_operand_indexes,
                                int32_t output_operand_index, const void *parameters, NativeContext *ctx);
#endif