0bdd677c5f
Add documentation for Average Pool Layer Signed-off-by: Shubhanshu Saxena <shubhanshu.e01@gmail.com>
69 lines
2.5 KiB
C
69 lines
2.5 KiB
C
/*
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* Copyright (c) 2020
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*
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* This file is part of FFmpeg.
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*
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* FFmpeg is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* FFmpeg is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with FFmpeg; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*/
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/**
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* @file
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* DNN inference functions interface for native backend.
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*/
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#ifndef AVFILTER_DNN_DNN_BACKEND_NATIVE_LAYER_AVGPOOL_H
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#define AVFILTER_DNN_DNN_BACKEND_NATIVE_LAYER_AVGPOOL_H
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#include "dnn_backend_native.h"
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typedef struct AvgPoolParams{
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int32_t strides, kernel_size;
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DNNPaddingParam padding_method;
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} AvgPoolParams;
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/**
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* @brief Load Average Pooling Layer.
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*
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* It assigns the Average Pooling layer with AvgPoolParams
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* after parsing from the model file context.
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*
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* @param layer pointer to the DNN layer instance
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* @param model_file_context pointer to model file context
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* @param file_size model file size to check if data is read
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* correctly from the model file
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* @param operands_num operand count of the whole model to
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* check if data is read correctly from the model file
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* @return number of bytes read from the model file
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* @retval 0 if out of memory or an error occurs
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*/
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int ff_dnn_load_layer_avg_pool(Layer *layer, AVIOContext *model_file_context, int file_size, int operands_num);
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/**
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* @brief Execute the Average Pooling Layer.
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* Padding in channel dimensions is currently not supported.
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*
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* @param operands all operands for the model
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* @param input_operand_indexes input operand indexes for this layer
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* @param output_operand_index output operand index for this layer
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* @param parameters average pooling parameters
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* @param ctx pointer to Native model context for logging
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* @retval 0 if the execution succeeds
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* @retval DNN_ERROR if the execution fails
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*/
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int ff_dnn_execute_layer_avg_pool(DnnOperand *operands, const int32_t *input_operand_indexes,
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int32_t output_operand_index, const void *parameters, NativeContext *ctx);
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#endif
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