FFmpeg
libavfilter
dnn
dnn_backend_native_layer_conv2d.h
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/*
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* Copyright (c) 2018 Sergey Lavrushkin
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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_CONV2D_H
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#define AVFILTER_DNN_DNN_BACKEND_NATIVE_LAYER_CONV2D_H
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#include "
dnn_backend_native.h
"
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typedef
enum
{
RELU
,
TANH
,
SIGMOID
,
NONE
,
LEAKY_RELU
}
DNNActivationFunc
;
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typedef
enum
{
VALID
,
SAME
,
SAME_CLAMP_TO_EDGE
}
DNNConvPaddingParam
;
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typedef
struct
ConvolutionalParams
{
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int32_t
input_num
,
output_num
,
kernel_size
;
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DNNActivationFunc
activation
;
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DNNConvPaddingParam
padding_method
;
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int32_t
dilation
;
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int32_t
has_bias
;
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float
*
kernel
;
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float
*
biases
;
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}
ConvolutionalParams
;
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int
dnn_load_layer_conv2d
(
Layer
*layer,
AVIOContext
*model_file_context,
int
file_size,
int
operands_num);
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int
dnn_execute_layer_conv2d
(
DnnOperand
*operands,
const
int32_t
*input_operand_indexes,
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int32_t
output_operand_index,
const
void
*parameters);
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#endif
ConvolutionalParams::kernel
float * kernel
Definition:
dnn_backend_native_layer_conv2d.h:35
TANH
@ TANH
Definition:
dnn_backend_native_layer_conv2d.h:26
LEAKY_RELU
@ LEAKY_RELU
Definition:
dnn_backend_native_layer_conv2d.h:26
dnn_load_layer_conv2d
int dnn_load_layer_conv2d(Layer *layer, AVIOContext *model_file_context, int file_size, int operands_num)
Definition:
dnn_backend_native_layer_conv2d.c:26
RELU
@ RELU
Definition:
dnn_backend_native_layer_conv2d.h:26
SAME
@ SAME
Definition:
dnn_backend_native_layer_conv2d.h:27
ConvolutionalParams::input_num
int32_t input_num
Definition:
dnn_backend_native_layer_conv2d.h:30
ConvolutionalParams::activation
DNNActivationFunc activation
Definition:
dnn_backend_native_layer_conv2d.h:31
int32_t
int32_t
Definition:
audio_convert.c:194
DNNConvPaddingParam
DNNConvPaddingParam
Definition:
dnn_backend_native_layer_conv2d.h:27
ConvolutionalParams::has_bias
int32_t has_bias
Definition:
dnn_backend_native_layer_conv2d.h:34
SAME_CLAMP_TO_EDGE
@ SAME_CLAMP_TO_EDGE
Definition:
dnn_backend_native_layer_conv2d.h:27
ConvolutionalParams::kernel_size
int32_t kernel_size
Definition:
dnn_backend_native_layer_conv2d.h:30
DNNActivationFunc
DNNActivationFunc
Definition:
dnn_backend_native_layer_conv2d.h:26
AVIOContext
Bytestream IO Context.
Definition:
avio.h:161
Layer
Definition:
dnn_backend_native.h:51
NONE
@ NONE
Definition:
dnn_backend_native_layer_conv2d.h:26
dnn_backend_native.h
ConvolutionalParams::output_num
int32_t output_num
Definition:
dnn_backend_native_layer_conv2d.h:30
VALID
@ VALID
Definition:
dnn_backend_native_layer_conv2d.h:27
DnnOperand
Definition:
dnn_backend_native.h:63
SIGMOID
@ SIGMOID
Definition:
dnn_backend_native_layer_conv2d.h:26
ConvolutionalParams::padding_method
DNNConvPaddingParam padding_method
Definition:
dnn_backend_native_layer_conv2d.h:32
ConvolutionalParams
Definition:
dnn_backend_native_layer_conv2d.h:29
ConvolutionalParams::dilation
int32_t dilation
Definition:
dnn_backend_native_layer_conv2d.h:33
ConvolutionalParams::biases
float * biases
Definition:
dnn_backend_native_layer_conv2d.h:36
dnn_execute_layer_conv2d
int dnn_execute_layer_conv2d(DnnOperand *operands, const int32_t *input_operand_indexes, int32_t output_operand_index, const void *parameters)
Definition:
dnn_backend_native_layer_conv2d.c:91
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