FFmpeg
libavfilter
dnn
dnn_backend_native_layer_dense.h
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/*
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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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#ifndef AVFILTER_DNN_DNN_BACKEND_NATIVE_LAYER_DENSE_H
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#define AVFILTER_DNN_DNN_BACKEND_NATIVE_LAYER_DENSE_H
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#include "
dnn_backend_native.h
"
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typedef
struct
DenseParams
{
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int32_t
input_num
,
output_num
;
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DNNActivationFunc
activation
;
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int32_t
has_bias
;
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float
*
kernel
;
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float
*
biases
;
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}
DenseParams
;
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/**
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* @brief Load the Densely-Connected Layer.
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*
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* It assigns the densely connected layer with DenseParams
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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_dense
(
Layer
*layer,
AVIOContext
*model_file_context,
int
file_size,
int
operands_num);
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/**
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* @brief Execute the Densely-Connected Layer.
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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 dense layer 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 AVERROR(ENOMEM) if memory allocation fails
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* @retval AVERROR(EINVAL) for invalid arguments
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*/
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int
ff_dnn_execute_layer_dense
(
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
DenseParams::biases
float * biases
Definition:
dnn_backend_native_layer_dense.h:31
ctx
AVFormatContext * ctx
Definition:
movenc.c:48
DenseParams::activation
DNNActivationFunc activation
Definition:
dnn_backend_native_layer_dense.h:28
ff_dnn_execute_layer_dense
int ff_dnn_execute_layer_dense(DnnOperand *operands, const int32_t *input_operand_indexes, int32_t output_operand_index, const void *parameters, NativeContext *ctx)
Execute the Densely-Connected Layer.
Definition:
dnn_backend_native_layer_dense.c:85
AVIOContext
Bytestream IO Context.
Definition:
avio.h:162
NativeContext
Definition:
dnn_backend_native.h:118
Layer
Definition:
dnn_backend_native.h:57
ff_dnn_load_layer_dense
int ff_dnn_load_layer_dense(Layer *layer, AVIOContext *model_file_context, int file_size, int operands_num)
Load the Densely-Connected Layer.
Definition:
dnn_backend_native_layer_dense.c:24
DenseParams::input_num
int32_t input_num
Definition:
dnn_backend_native_layer_dense.h:27
dnn_backend_native.h
DenseParams
Definition:
dnn_backend_native_layer_dense.h:26
DenseParams::kernel
float * kernel
Definition:
dnn_backend_native_layer_dense.h:30
DNNActivationFunc
DNNActivationFunc
Definition:
dnn_backend_native.h:55
DenseParams::output_num
int32_t output_num
Definition:
dnn_backend_native_layer_dense.h:27
DnnOperand
Definition:
dnn_backend_native.h:69
int32_t
int32_t
Definition:
audioconvert.c:56
DenseParams::has_bias
int32_t has_bias
Definition:
dnn_backend_native_layer_dense.h:29
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