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PaddleDetection
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PaddleDetection
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f5995300
编写于
1月 26, 2017
作者:
H
Haonan
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差异文件
rotate layer cpp files
上级
781b85b5
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2
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2 changed file
with
143 addition
and
0 deletion
+143
-0
paddle/gserver/layers/RotateLayer.cpp
paddle/gserver/layers/RotateLayer.cpp
+94
-0
paddle/gserver/layers/RotateLayer.h
paddle/gserver/layers/RotateLayer.h
+49
-0
未找到文件。
paddle/gserver/layers/RotateLayer.cpp
0 → 100644
浏览文件 @
f5995300
/* Copyright (c) 2016 Baidu, Inc. All Rights Reserve.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#include "RotateLayer.h"
namespace
paddle
{
REGISTER_LAYER
(
rotate
,
RotateLayer
);
bool
RotateLayer
::
init
(
const
LayerMap
&
layerMap
,
const
ParameterMap
&
parameterMap
)
{
Layer
::
init
(
layerMap
,
parameterMap
);
CHECK_EQ
(
inputLayers_
.
size
(),
1UL
);
sampleHeight_
=
config_
.
height
();
return
true
;
}
void
RotateLayer
::
forward
(
PassType
passType
)
{
Layer
::
forward
(
passType
);
MatrixPtr
input
=
getInputValue
(
0
);
batchSize_
=
input
->
getHeight
();
sampleSize_
=
input
->
getWidth
();
sampleWidth_
=
sampleSize_
/
sampleHeight_
;
CHECK_EQ
(
sampleSize_
%
sampleHeight_
,
0
);
resizeOutput
(
batchSize_
,
sampleSize_
);
MatrixPtr
outV
=
getOutputValue
();
for
(
int
b
=
0
;
b
<
batchSize_
;
b
++
)
{
MatrixPtr
inputSample
=
Matrix
::
create
(
input
->
getData
()
+
b
*
sampleSize_
,
sampleHeight_
,
sampleWidth_
,
false
,
useGpu_
);
MatrixPtr
outputSample
=
Matrix
::
create
(
outV
->
getData
()
+
b
*
sampleSize_
,
sampleWidth_
,
sampleHeight_
,
false
,
useGpu_
);
inputSample
->
rotate
(
outputSample
,
false
,
true
);
}
if
(
getInputGrad
(
0
))
{
zeroGrad
();
}
}
void
RotateLayer
::
backward
(
const
UpdateCallback
&
callback
)
{
(
void
)
callback
;
MatrixPtr
outputGrad
=
getOutputGrad
();
if
(
outputGrad
==
NULL
)
{
return
;
}
// the grad should be rotated in the reverse direction
MatrixPtr
preGrad
=
getInputGrad
(
0
);
for
(
int
b
=
0
;
b
<
batchSize_
;
b
++
)
{
MatrixPtr
inputSampleGrad
=
Matrix
::
create
(
preGrad
->
getData
()
+
b
*
sampleSize_
,
sampleHeight_
,
sampleWidth_
,
false
,
useGpu_
);
MatrixPtr
outputSampleGrad
=
Matrix
::
create
(
outputGrad
->
getData
()
+
b
*
sampleSize_
,
sampleWidth_
,
sampleHeight_
,
false
,
useGpu_
);
MatrixPtr
tmpGrad
=
Matrix
::
create
(
sampleHeight_
,
sampleWidth_
,
false
,
useGpu_
);
outputSampleGrad
->
rotate
(
tmpGrad
,
false
,
false
);
inputSampleGrad
->
add
(
*
tmpGrad
);
}
}
}
// namespace paddle
paddle/gserver/layers/RotateLayer.h
0 → 100644
浏览文件 @
f5995300
/* Copyright (c) 2016 Baidu, Inc. All Rights Reserve.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#pragma once
#include "Layer.h"
#include "paddle/math/Matrix.h"
namespace
paddle
{
/**
* A layer for rotating an input sample (assume it's a matrix)
* The rotation is in clock-wise
* \f[
* y(j,i) = x(M-i-1,j)
* \f]
* where \f$x\f$ is (M x N) input, and \f$y\f$ is (N x M) output.
*
* The config file api is rotate_layer
*
*/
class
RotateLayer
:
public
Layer
{
public:
explicit
RotateLayer
(
const
LayerConfig
&
config
)
:
Layer
(
config
)
{}
bool
init
(
const
LayerMap
&
layerMap
,
const
ParameterMap
&
parameterMap
);
void
forward
(
PassType
passType
);
void
backward
(
const
UpdateCallback
&
callback
=
nullptr
);
private:
int
batchSize_
;
int
sampleSize_
;
int
sampleHeight_
;
int
sampleWidth_
;
};
}
// namespace paddle
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