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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
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