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e0d591c7
编写于
9月 17, 2017
作者:
P
peterzhang2029
浏览文件
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差异文件
Merge branch 'develop' of
https://github.com/PaddlePaddle/Paddle
into my-paddle
上级
5e2da7ac
0b373f8f
变更
5
隐藏空白更改
内联
并排
Showing
5 changed file
with
49 addition
and
193 deletion
+49
-193
paddle/gserver/gradientmachines/RecurrentGradientMachine.cpp
paddle/gserver/gradientmachines/RecurrentGradientMachine.cpp
+6
-1
paddle/gserver/layers/ExpandConvBaseLayer.cpp
paddle/gserver/layers/ExpandConvBaseLayer.cpp
+0
-124
paddle/gserver/layers/ExpandConvBaseLayer.h
paddle/gserver/layers/ExpandConvBaseLayer.h
+0
-57
paddle/gserver/layers/ExpandConvLayer.cpp
paddle/gserver/layers/ExpandConvLayer.cpp
+38
-7
paddle/gserver/layers/ExpandConvLayer.h
paddle/gserver/layers/ExpandConvLayer.h
+5
-4
未找到文件。
paddle/gserver/gradientmachines/RecurrentGradientMachine.cpp
浏览文件 @
e0d591c7
...
@@ -18,6 +18,7 @@ limitations under the License. */
...
@@ -18,6 +18,7 @@ limitations under the License. */
#include <cmath>
#include <cmath>
#include <functional>
#include <functional>
#include <limits>
#include <limits>
#include <memory>
#include "NeuralNetwork.h"
#include "NeuralNetwork.h"
#include "paddle/gserver/layers/AgentLayer.h"
#include "paddle/gserver/layers/AgentLayer.h"
#include "paddle/utils/Flags.h"
#include "paddle/utils/Flags.h"
...
@@ -429,7 +430,11 @@ void RecurrentGradientMachine::reorganizeInput(PassType passType) {
...
@@ -429,7 +430,11 @@ void RecurrentGradientMachine::reorganizeInput(PassType passType) {
}
}
{
{
AsyncGpuBlock
asyncGpuBlock
;
std
::
unique_ptr
<
AsyncGpuBlock
>
asyncBlock
;
if
(
useGpu_
)
{
asyncBlock
.
reset
(
new
AsyncGpuBlock
());
}
// inFrameLine select rows in real layer one time
// inFrameLine select rows in real layer one time
for
(
size_t
i
=
0
;
i
<
inFrameLines_
.
size
();
i
++
)
{
for
(
size_t
i
=
0
;
i
<
inFrameLines_
.
size
();
i
++
)
{
...
...
paddle/gserver/layers/ExpandConvBaseLayer.cpp
已删除
100644 → 0
浏览文件 @
5e2da7ac
/* Copyright (c) 2016 PaddlePaddle Authors. 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 "ExpandConvBaseLayer.h"
#include "paddle/utils/Logging.h"
namespace
paddle
{
bool
ExpandConvBaseLayer
::
init
(
const
LayerMap
&
layerMap
,
const
ParameterMap
&
parameterMap
)
{
/* Initialize the basic convolutional parent class */
ConvBaseLayer
::
init
(
layerMap
,
parameterMap
);
int
index
=
0
;
for
(
auto
&
inputConfig
:
config_
.
inputs
())
{
const
ConvConfig
&
conf
=
inputConfig
.
conv_conf
();
/* Consistent caffe mode for multiple input */
caffeMode_
=
conf
.
caffe_mode
();
// create a new weight
size_t
height
,
width
;
height
=
filterPixels_
[
index
]
*
filterChannels_
[
index
];
width
=
(
!
isDeconv_
)
?
numFilters_
:
channels_
[
index
];
CHECK_EQ
(
parameters_
[
index
]
->
getSize
(),
width
*
height
);
Weight
*
w
=
new
Weight
(
height
,
width
,
parameters_
[
index
]);
weights_
.
emplace_back
(
w
);
index
++
;
}
if
(
biasParameter_
.
get
())
{
if
(
sharedBiases_
)
{
CHECK_EQ
((
size_t
)
numFilters_
,
biasParameter_
->
getSize
());
biases_
=
std
::
unique_ptr
<
Weight
>
(
new
Weight
(
numFilters_
,
1
,
biasParameter_
));
}
else
{
biases_
=
std
::
unique_ptr
<
Weight
>
(
new
Weight
(
getSize
(),
1
,
biasParameter_
));
}
}
getOutputSize
();
return
true
;
}
size_t
ExpandConvBaseLayer
::
getOutputSize
()
{
CHECK_NE
(
inputLayers_
.
size
(),
0UL
);
size_t
layerSize
=
ConvBaseLayer
::
calOutputSize
();
return
layerSize
;
}
void
ExpandConvBaseLayer
::
addSharedBias
()
{
size_t
mapW
=
getOutputSize
()
/
numFilters_
;
size_t
mapH
=
getOutputValue
()
->
getElementCnt
()
/
mapW
;
MatrixPtr
out
=
Matrix
::
create
(
getOutputValue
()
->
getData
(),
mapH
,
mapW
,
false
,
useGpu_
);
Matrix
::
resizeOrCreate
(
transOutValue_
,
mapW
,
mapH
,
false
,
useGpu_
);
out
->
transpose
(
transOutValue_
,
false
);
// false means no memory allocation
transOutValue_
->
reshape
(
transOutValue_
->
getElementCnt
()
/
numFilters_
,
numFilters_
);
MatrixPtr
bias
=
Matrix
::
create
(
biases_
->
getW
()
->
getData
(),
1
,
biases_
->
getW
()
->
getElementCnt
(),
false
,
useGpu_
);
transOutValue_
->
addBias
(
*
bias
,
1.0
f
);
transOutValue_
->
reshape
(
mapW
,
mapH
);
transOutValue_
->
transpose
(
out
,
false
);
// false means no memory allocation
out
->
clear
();
bias
->
clear
();
}
void
ExpandConvBaseLayer
::
addUnsharedBias
()
{
MatrixPtr
outValue
=
getOutputValue
();
MatrixPtr
bias
=
Matrix
::
create
(
biases_
->
getW
()
->
getData
(),
1
,
biases_
->
getW
()
->
getElementCnt
(),
false
,
useGpu_
);
outValue
->
addBias
(
*
bias
,
1.0
f
);
}
void
ExpandConvBaseLayer
::
bpropSharedBias
(
MatrixPtr
biases
,
MatrixPtr
v
)
{
size_t
mapW
=
getOutputSize
()
/
numFilters_
;
size_t
mapH
=
v
->
getElementCnt
()
/
mapW
;
MatrixPtr
vTmp
=
Matrix
::
create
(
v
->
getData
(),
mapH
,
mapW
,
false
,
useGpu_
);
Matrix
::
resizeOrCreate
(
transOutValue_
,
mapW
,
mapH
,
false
,
useGpu_
);
vTmp
->
transpose
(
transOutValue_
,
false
);
// false means no memory allocation
transOutValue_
->
reshape
(
transOutValue_
->
getElementCnt
()
/
numFilters_
,
numFilters_
);
biases
->
collectBias
(
*
transOutValue_
,
1.0
f
);
}
void
ExpandConvBaseLayer
::
bpropBiases
(
MatrixPtr
v
)
{
MatrixPtr
biases
=
Matrix
::
create
(
biases_
->
getWGrad
()
->
getData
(),
1
,
biases_
->
getWGrad
()
->
getElementCnt
(),
false
,
useGpu_
);
if
(
sharedBiases_
)
{
bpropSharedBias
(
biases
,
v
);
}
else
{
biases
->
collectBias
(
*
v
,
1.0
f
);
}
biases
->
clear
();
}
}
// namespace paddle
paddle/gserver/layers/ExpandConvBaseLayer.h
已删除
100644 → 0
浏览文件 @
5e2da7ac
/* Copyright (c) 2016 PaddlePaddle Authors. 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 <vector>
#include "ConvBaseLayer.h"
#include "paddle/math/Matrix.h"
namespace
paddle
{
/**
* @brief A subclass of ConvBaseLayer that is a superclass of both
* ExpandConvLayer and ExpandConvTransLayer
*/
class
ExpandConvBaseLayer
:
public
ConvBaseLayer
{
protected:
/// The transpose of output, which is an auxiliary matrix.
MatrixPtr
transOutValue_
;
public:
explicit
ExpandConvBaseLayer
(
const
LayerConfig
&
config
)
:
ConvBaseLayer
(
config
)
{}
~
ExpandConvBaseLayer
()
{}
bool
init
(
const
LayerMap
&
layerMap
,
const
ParameterMap
&
parameterMap
)
override
;
size_t
getOutputSize
();
/**
* Add shared bias.
*/
void
addSharedBias
();
/**
* Add unshared bias.
*/
void
addUnsharedBias
();
void
bpropSharedBias
(
MatrixPtr
biases
,
MatrixPtr
v
);
void
bpropBiases
(
MatrixPtr
v
);
};
}
// namespace paddle
paddle/gserver/layers/ExpandConvLayer.cpp
浏览文件 @
e0d591c7
...
@@ -36,7 +36,36 @@ inline bool isDepthwiseConv(int channels, int groups) {
...
@@ -36,7 +36,36 @@ inline bool isDepthwiseConv(int channels, int groups) {
bool
ExpandConvLayer
::
init
(
const
LayerMap
&
layerMap
,
bool
ExpandConvLayer
::
init
(
const
LayerMap
&
layerMap
,
const
ParameterMap
&
parameterMap
)
{
const
ParameterMap
&
parameterMap
)
{
/* Initialize the basic convolutional parent class */
/* Initialize the basic convolutional parent class */
ExpandConvBaseLayer
::
init
(
layerMap
,
parameterMap
);
ConvBaseLayer
::
init
(
layerMap
,
parameterMap
);
int
index
=
0
;
for
(
auto
&
inputConfig
:
config_
.
inputs
())
{
const
ConvConfig
&
conf
=
inputConfig
.
conv_conf
();
/* Consistent caffe mode for multiple input */
caffeMode_
=
conf
.
caffe_mode
();
// create a new weight
size_t
height
,
width
;
height
=
filterPixels_
[
index
]
*
filterChannels_
[
index
];
width
=
(
!
isDeconv_
)
?
numFilters_
:
channels_
[
index
];
CHECK_EQ
(
parameters_
[
index
]
->
getSize
(),
width
*
height
);
Weight
*
w
=
new
Weight
(
height
,
width
,
parameters_
[
index
]);
weights_
.
emplace_back
(
w
);
index
++
;
}
if
(
biasParameter_
.
get
())
{
if
(
sharedBiases_
)
{
CHECK_EQ
((
size_t
)
numFilters_
,
biasParameter_
->
getSize
());
biases_
=
std
::
unique_ptr
<
Weight
>
(
new
Weight
(
1
,
numFilters_
,
biasParameter_
,
0
));
}
else
{
biases_
=
std
::
unique_ptr
<
Weight
>
(
new
Weight
(
1
,
getSize
(),
biasParameter_
,
0
));
}
}
getOutputSize
();
size_t
numInputs
=
config_
.
inputs_size
();
size_t
numInputs
=
config_
.
inputs_size
();
inputShape_
.
resize
(
numInputs
);
inputShape_
.
resize
(
numInputs
);
...
@@ -108,6 +137,12 @@ bool ExpandConvLayer::init(const LayerMap &layerMap,
...
@@ -108,6 +137,12 @@ bool ExpandConvLayer::init(const LayerMap &layerMap,
return
true
;
return
true
;
}
}
size_t
ExpandConvLayer
::
getOutputSize
()
{
CHECK_NE
(
inputLayers_
.
size
(),
0UL
);
size_t
layerSize
=
ConvBaseLayer
::
calOutputSize
();
return
layerSize
;
}
// i is the index of input layers
// i is the index of input layers
#define BACKWARD_INPUT(i, inputs, outputs) \
#define BACKWARD_INPUT(i, inputs, outputs) \
backward_[2 * i]->calc(inputs, outputs)
backward_[2 * i]->calc(inputs, outputs)
...
@@ -155,11 +190,7 @@ void ExpandConvLayer::forward(PassType passType) {
...
@@ -155,11 +190,7 @@ void ExpandConvLayer::forward(PassType passType) {
/* add the bias-vector */
/* add the bias-vector */
if
(
biases_
.
get
())
{
if
(
biases_
.
get
())
{
if
(
sharedBiases_
)
{
output_
.
value
->
addBias
(
*
biases_
->
getW
(),
1.0
,
sharedBiases_
);
addSharedBias
();
}
else
{
addUnsharedBias
();
}
}
}
/* activation */
/* activation */
...
@@ -171,7 +202,7 @@ void ExpandConvLayer::backward(const UpdateCallback &callback) {
...
@@ -171,7 +202,7 @@ void ExpandConvLayer::backward(const UpdateCallback &callback) {
MatrixPtr
outGrad
=
getOutputGrad
();
MatrixPtr
outGrad
=
getOutputGrad
();
if
(
biases_
&&
biases_
->
getWGrad
())
{
if
(
biases_
&&
biases_
->
getWGrad
())
{
b
propBiases
(
outGrad
);
b
iases_
->
getWGrad
()
->
collectBias
(
*
getOutputGrad
(),
1
,
sharedBiases_
);
/* Increasing the number of gradient */
/* Increasing the number of gradient */
biases_
->
getParameterPtr
()
->
incUpdate
(
callback
);
biases_
->
getParameterPtr
()
->
incUpdate
(
callback
);
}
}
...
...
paddle/gserver/layers/ExpandConvLayer.h
浏览文件 @
e0d591c7
...
@@ -15,7 +15,7 @@ limitations under the License. */
...
@@ -15,7 +15,7 @@ limitations under the License. */
#pragma once
#pragma once
#include <vector>
#include <vector>
#include "
Expand
ConvBaseLayer.h"
#include "ConvBaseLayer.h"
#include "paddle/math/Matrix.h"
#include "paddle/math/Matrix.h"
namespace
paddle
{
namespace
paddle
{
...
@@ -28,10 +28,9 @@ namespace paddle {
...
@@ -28,10 +28,9 @@ namespace paddle {
* The config file api is img_conv_layer.
* The config file api is img_conv_layer.
*/
*/
class
ExpandConvLayer
:
public
Expand
ConvBaseLayer
{
class
ExpandConvLayer
:
public
ConvBaseLayer
{
public:
public:
explicit
ExpandConvLayer
(
const
LayerConfig
&
config
)
explicit
ExpandConvLayer
(
const
LayerConfig
&
config
)
:
ConvBaseLayer
(
config
)
{}
:
ExpandConvBaseLayer
(
config
)
{}
~
ExpandConvLayer
()
{}
~
ExpandConvLayer
()
{}
...
@@ -41,6 +40,8 @@ public:
...
@@ -41,6 +40,8 @@ public:
void
forward
(
PassType
passType
)
override
;
void
forward
(
PassType
passType
)
override
;
void
backward
(
const
UpdateCallback
&
callback
)
override
;
void
backward
(
const
UpdateCallback
&
callback
)
override
;
size_t
getOutputSize
();
protected:
protected:
std
::
vector
<
TensorShape
>
inputShape_
;
std
::
vector
<
TensorShape
>
inputShape_
;
std
::
vector
<
TensorShape
>
filterShape_
;
std
::
vector
<
TensorShape
>
filterShape_
;
...
...
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