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体验新版 GitCode,发现更多精彩内容 >>
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273e3f44
编写于
5月 25, 2017
作者:
Y
Yu Yang
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Remove not necessary functionalities in Parameter
上级
a0be0ed6
变更
11
隐藏空白更改
内联
并排
Showing
11 changed file
with
99 addition
and
96 deletion
+99
-96
paddle/math/BaseMatrix.h
paddle/math/BaseMatrix.h
+1
-1
paddle/math/SparseRowMatrix.cpp
paddle/math/SparseRowMatrix.cpp
+1
-1
paddle/math/SparseRowMatrix.h
paddle/math/SparseRowMatrix.h
+1
-1
paddle/parameter/Parameter.cpp
paddle/parameter/Parameter.cpp
+1
-42
paddle/parameter/Parameter.h
paddle/parameter/Parameter.h
+0
-19
paddle/parameter/ThreadLocalBuffer.cpp
paddle/parameter/ThreadLocalBuffer.cpp
+35
-0
paddle/parameter/ThreadLocalBuffer.h
paddle/parameter/ThreadLocalBuffer.h
+22
-0
paddle/pserver/ParameterClient2.cpp
paddle/pserver/ParameterClient2.cpp
+2
-1
paddle/pserver/ParameterServer2.cpp
paddle/pserver/ParameterServer2.cpp
+11
-11
paddle/trainer/RemoteParameterUpdater.cpp
paddle/trainer/RemoteParameterUpdater.cpp
+21
-17
paddle/trainer/ThreadParameterUpdater.cpp
paddle/trainer/ThreadParameterUpdater.cpp
+4
-3
未找到文件。
paddle/math/BaseMatrix.h
浏览文件 @
273e3f44
...
...
@@ -758,7 +758,7 @@ public:
T
p3
);
// decayRate
/// apply L1/L2 to *this*
void
applyL1
(
T
learningRate
,
T
decayRate
);
v
irtual
v
oid
applyL1
(
T
learningRate
,
T
decayRate
);
void
applyL1
(
BaseMatrixT
&
lr
,
T
learningRate
,
T
decayRate
);
void
applyL2
(
T
learningRate
,
T
decayRate
);
void
applyL2
(
BaseMatrixT
&
lr
,
T
learningRate
,
T
decayRate
);
...
...
paddle/math/SparseRowMatrix.cpp
浏览文件 @
273e3f44
...
...
@@ -54,7 +54,7 @@ void SparseRowCpuMatrix::zeroMem() {
clearRows
();
}
void
SparseRowCpuMatrix
::
applyL1
Decay
(
real
learningRate
,
real
decayRate
)
{
void
SparseRowCpuMatrix
::
applyL1
(
real
learningRate
,
real
decayRate
)
{
apply
([
=
](
real
*
buf
,
size_t
len
)
{
CpuVector
value
(
0
,
nullptr
);
value
.
subVecFrom
(
buf
,
0
,
len
);
...
...
paddle/math/SparseRowMatrix.h
浏览文件 @
273e3f44
...
...
@@ -94,7 +94,7 @@ public:
/**
* apply L1 to all sparse rows, should be apply after indices ready.
*/
v
oid
applyL1Decay
(
real
learningRate
,
real
decayRate
);
v
irtual
void
applyL1
(
real
learningRate
,
real
decayRate
);
void
clearIndices
()
{
clearRows
();
}
void
zeroMemThread
(
size_t
tid
,
size_t
numThreads
);
...
...
paddle/parameter/Parameter.cpp
浏览文件 @
273e3f44
...
...
@@ -20,6 +20,7 @@ limitations under the License. */
#include "OptimizerFunctions.h"
#include "OptimizerWithRegularizer.h"
#include "ParameterUpdateFunctions.h"
#include "ThreadLocalBuffer.h"
#include "hl_gpu.h"
#include "paddle/math/CpuSparseMatrix.h"
#include "paddle/math/MathUtils.h"
...
...
@@ -262,15 +263,6 @@ void Parameter::setMat(ParameterType pType, int matType) {
}
}
SparsePrefetchRowCpuMatrix
*
Parameter
::
getPrefetchMatrix
()
{
MatrixPtr
mat
=
mats_
[
PARAMETER_VALUE
];
if
(
mat
)
{
return
dynamic_cast
<
SparsePrefetchRowCpuMatrix
*>
(
mat
.
get
());
}
return
nullptr
;
}
void
Parameter
::
incUpdate
(
const
UpdateCallback
&
callback
)
{
// Static parameter is fixed, and does not need to be updated
if
(
isStatic
())
{
...
...
@@ -422,37 +414,4 @@ bool Parameter::load(std::istream& s) {
return
true
;
}
ThreadLocal
<
std
::
vector
<
VectorPtr
>>
Parameter
::
tlsTempBufs_
;
VectorPtr
*
Parameter
::
getTlsTempBufs
()
{
std
::
vector
<
VectorPtr
>&
bufs
=
*
tlsTempBufs_
;
if
(
bufs
.
empty
())
{
bufs
.
resize
(
NUM_PARAMETER_TYPES
);
for
(
auto
&
vec
:
bufs
)
{
vec
.
reset
(
new
CpuVector
(
0
,
nullptr
));
}
}
return
bufs
.
data
();
}
void
Parameter
::
exec
(
ExecFunc
func
)
{
auto
execFunc
=
[
this
,
func
](
int
tid
,
size_t
numThreads
)
{
if
(
numThreads
==
1
)
{
// single thread
func
(
this
->
getBufs
());
}
else
{
// multi thread
VectorPtr
*
vecs
=
Parameter
::
getTlsTempBufs
();
auto
interval
=
calcSplitArrayInterval
(
this
->
getSize
(),
(
size_t
)
tid
,
numThreads
,
8LU
/*for avx*/
);
for
(
size_t
i
=
0
;
i
<
(
size_t
)
NUM_PARAMETER_TYPES
;
++
i
)
{
if
(
bufs_
[
i
])
{
vecs
[
i
]
->
subVecFrom
(
*
bufs_
[
i
],
interval
);
}
}
func
(
vecs
);
}
};
getBuf
(
PARAMETER_VALUE
)
->
exec
(
execFunc
);
}
}
// namespace paddle
paddle/parameter/Parameter.h
浏览文件 @
273e3f44
...
...
@@ -209,14 +209,6 @@ public:
intBufs_
[
pType
]
=
iVec
;
}
SparsePrefetchRowCpuMatrix
*
getPrefetchMatrix
();
float
getLearnRate
()
const
{
return
config_
.
learning_rate
();
}
float
getInitMean
()
const
{
return
config_
.
initial_mean
();
}
float
getInitStandardDeviation
()
const
{
return
config_
.
initial_std
();
}
void
setValueUpdated
()
{
updated_
=
true
;
}
void
clearValueUpdated
()
{
updated_
=
false
;
}
...
...
@@ -356,8 +348,6 @@ protected:
bool
updated_
;
SparseFormat
format_
;
static
ThreadLocal
<
std
::
vector
<
VectorPtr
>>
tlsTempBufs_
;
std
::
vector
<
std
::
shared_ptr
<
IParameterUpdaterHook
>>
updaterHooks_
;
public:
...
...
@@ -371,15 +361,6 @@ public:
static
const
std
::
string
kMissParameterFail
;
static
const
std
::
string
kMissParameterRand
;
static
const
std
::
string
kMissParameterZero
;
static
VectorPtr
*
getTlsTempBufs
();
/**
* exec a func in single/multi thread.
* vecs is bufs_ of Parameter, as input of ExecFunc.
*/
typedef
std
::
function
<
void
(
const
VectorPtr
vecs
[])
>
ExecFunc
;
void
exec
(
ExecFunc
func
);
};
typedef
std
::
map
<
std
::
string
,
ParameterPtr
>
ParameterMap
;
...
...
paddle/parameter/ThreadLocalBuffer.cpp
0 → 100644
浏览文件 @
273e3f44
/* 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 "ThreadLocalBuffer.h"
#include "Parameter.h"
namespace
paddle
{
namespace
parameter
{
static
ThreadLocal
<
std
::
vector
<
VectorPtr
>>
tlsTempBufs_
;
VectorPtr
*
getThreadLocalBuffer
()
{
std
::
vector
<
VectorPtr
>&
bufs
=
*
tlsTempBufs_
;
if
(
bufs
.
empty
())
{
bufs
.
resize
(
NUM_PARAMETER_TYPES
);
for
(
auto
&
vec
:
bufs
)
{
vec
.
reset
(
new
CpuVector
(
0
,
nullptr
));
}
}
return
bufs
.
data
();
}
}
// namespace parameter
}
// namespace paddle
paddle/parameter/ThreadLocalBuffer.h
0 → 100644
浏览文件 @
273e3f44
/* 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 "paddle/math/Vector.h"
namespace
paddle
{
namespace
parameter
{
extern
VectorPtr
*
getThreadLocalBuffer
();
}
// namespace parameter
}
// namespace paddle
paddle/pserver/ParameterClient2.cpp
浏览文件 @
273e3f44
...
...
@@ -243,7 +243,8 @@ void ParameterClient2::prepareSendData(
CHECK_GE
(
blockSize
,
1LU
)
<<
"blockSize should > 0 "
<<
blockSize
;
const
auto
paraSize
=
parameter
->
getSize
();
if
(
sparseUpdate
)
{
const
auto
prefetchMat
=
parameter
->
getPrefetchMatrix
();
auto
prefetchMat
=
std
::
dynamic_pointer_cast
<
SparsePrefetchRowCpuMatrix
>
(
parameter
->
getMat
(
PARAMETER_VALUE
));
CHECK
(
prefetchMat
!=
nullptr
)
<<
"prefetchMat is nullptr"
;
auto
sendMat
=
dynamic_cast
<
SparseRowCpuMatrix
*>
(
parameter
->
getMat
(
parameterType
).
get
());
...
...
paddle/pserver/ParameterServer2.cpp
浏览文件 @
273e3f44
...
...
@@ -18,7 +18,6 @@ limitations under the License. */
#include <fstream>
#include "paddle/math/SIMDFunctions.h"
#include "paddle/parameter/AverageOptimizer.h"
#include "paddle/parameter/FirstOrderOptimizer.h"
#include "paddle/parameter/OptimizerFunctions.h"
...
...
@@ -26,6 +25,7 @@ limitations under the License. */
#include "paddle/parameter/ParameterOptimizer.h"
#include "paddle/parameter/ParameterUpdateFunctions.h"
#include "paddle/parameter/Regularizer.h"
#include "paddle/parameter/ThreadLocalBuffer.h"
#include "paddle/utils/Flags.h"
#include "paddle/utils/GlobalConstants.h"
#include "paddle/utils/Stat.h"
...
...
@@ -618,7 +618,7 @@ void ParameterServer2::asyncSGD(const SendParameterRequest& request,
bool
commitGradient
=
asyncGrdientCommitCheckAndStat
(
request
);
VectorPtr
*
vecs
=
Parameter
::
getTlsTempBufs
();
VectorPtr
*
vecs
=
parameter
::
getThreadLocalBuffer
();
size_t
bufferIndex
=
0
;
for
(
const
auto
&
block
:
request
.
blocks
())
{
int64_t
offset
=
getBlockOffset
(
block
);
...
...
@@ -1051,15 +1051,15 @@ void ParameterServer2::clearUnusedSegments(CpuVector* vec) {
}
void
ParameterServer2
::
parallelExecForEachBlock
(
ExecFunc
func
)
{
SyncThreadPool
::
execHelper
(
syncThreadPool_
.
get
(),
[
&
](
int
tid
,
size_t
numThreads
)
{
int64_t
numBlocks
=
blockIdMap_
.
size
();
VectorPtr
*
vecs
=
Parameter
::
getTlsTempBufs
();
for
(
int64_t
blockId
=
tid
;
blockId
<
numBlocks
;
blockId
+=
numThreads
)
{
func
(
blockId
,
vecs
);
}
});
SyncThreadPool
::
execHelper
(
syncThreadPool_
.
get
(),
[
&
](
int
tid
,
size_t
numThreads
)
{
int64_t
numBlocks
=
blockIdMap_
.
size
();
VectorPtr
*
vecs
=
parameter
::
getThreadLocalBuffer
();
for
(
int64_t
blockId
=
tid
;
blockId
<
numBlocks
;
blockId
+=
numThreads
)
{
func
(
blockId
,
vecs
);
}
});
}
void
ParameterServer2
::
blockTraverse
(
...
...
paddle/trainer/RemoteParameterUpdater.cpp
浏览文件 @
273e3f44
...
...
@@ -747,28 +747,32 @@ void SparseRemoteParameterUpdater::getParametersRemote(bool fullSize,
bool
apply
)
{
ParameterType
sendBackParameterType
=
(
useApplyInPserver_
&&
apply
)
?
PARAMETER_APPLY
:
PARAMETER_VALUE
;
std
::
function
<
void
()
>
getParams
;
std
::
function
<
void
(
Parameter
&
,
real
)
>
applyL1
;
if
(
fullSize
)
{
parameterClient_
->
getParameter
(
/* recvParameterType= */
PARAMETER_VALUE
,
sendBackParameterType
);
if
(
config_
.
shrink_parameter_value
()
>
0
)
{
for
(
auto
&
para
:
parameters_
)
{
if
(
para
->
getConfig
().
decay_rate_l1
()
>
0
)
{
para
->
getBuf
(
PARAMETER_VALUE
)
->
applyL1
(
1.0
f
,
// learningRate
config_
.
shrink_parameter_value
());
// decayRate
}
}
}
getParams
=
[
&
]
{
parameterClient_
->
getParameter
(
/* recvParameterType= */
PARAMETER_VALUE
,
sendBackParameterType
);
};
applyL1
=
[](
Parameter
&
para
,
real
decayRate
)
{
para
.
getBuf
(
PARAMETER_VALUE
)
->
applyL1
(
/*lr=*/
1.0
f
,
decayRate
);
};
}
else
{
REGISTER_TIMER
(
"getParamSparse"
);
parameterClient_
->
getParameterSparse
(
/* recvParameterType= */
PARAMETER_VALUE
,
sendBackParameterType
);
getParams
=
[
&
]
{
parameterClient_
->
getParameterSparse
(
/* recvParameterType= */
PARAMETER_VALUE
,
sendBackParameterType
);
};
applyL1
=
[](
Parameter
&
para
,
real
decayRate
)
{
para
.
getMat
(
PARAMETER_VALUE
)
->
applyL1
(
/*lr=*/
1.0
f
,
decayRate
);
};
}
{
REGISTER_TIMER
(
"getParamDenseAndSparse"
);
getParams
();
if
(
config_
.
shrink_parameter_value
()
>
0
)
{
for
(
auto
&
para
:
parameters_
)
{
if
(
para
->
getConfig
().
decay_rate_l1
()
>
0
)
{
para
->
getPrefetchMatrix
()
->
applyL1Decay
(
1.0
f
,
// learningRate
config_
.
shrink_parameter_value
());
// decayRate
applyL1
(
*
para
,
config_
.
shrink_parameter_value
());
}
}
}
...
...
paddle/trainer/ThreadParameterUpdater.cpp
浏览文件 @
273e3f44
...
...
@@ -17,6 +17,7 @@ limitations under the License. */
#include "paddle/utils/Logging.h"
#include "paddle/math/SparseRowMatrix.h"
#include "paddle/parameter/ThreadLocalBuffer.h"
#include "paddle/utils/Thread.h"
DECLARE_int32
(
trainer_count
);
...
...
@@ -98,7 +99,7 @@ void SgdThreadUpdater::threadTraverse(
int
tid
,
size_t
numThreads
,
Parameter
*
para
)
{
VectorPtr
*
vecs
=
Parameter
::
getTlsTempBufs
();
VectorPtr
*
vecs
=
parameter
::
getThreadLocalBuffer
();
if
(
para
->
isGradSparseUpdate
())
{
size_t
height
=
para
->
getConfig
().
dims
(
0
);
size_t
width
=
para
->
getConfig
().
dims
(
1
);
...
...
@@ -214,7 +215,7 @@ void SgdThreadUpdater::threadUpdateSparse(int tid,
Parameter
*
para
)
{
int
pid
=
para
->
getID
();
ParameterOptimizer
*
optimizer
=
optimizers_
[
pid
].
get
();
VectorPtr
*
vecs
=
Parameter
::
getTlsTempBufs
();
VectorPtr
*
vecs
=
parameter
::
getThreadLocalBuffer
();
size_t
height
=
para
->
getConfig
().
dims
(
0
);
size_t
width
=
para
->
getConfig
().
dims
(
1
);
...
...
@@ -286,7 +287,7 @@ void SgdThreadUpdater::threadUpdateDense(int tid,
Parameter
*
para
)
{
int
pid
=
para
->
getID
();
ParameterOptimizer
*
optimizer
=
optimizers_
[
pid
].
get
();
VectorPtr
*
vecs
=
Parameter
::
getTlsTempBufs
();
VectorPtr
*
vecs
=
parameter
::
getThreadLocalBuffer
();
auto
interval
=
calcSplitArrayInterval
(
para
->
getSize
(),
(
size_t
)
tid
,
numThreads
,
8LU
/*for avx*/
);
...
...
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