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体验新版 GitCode,发现更多精彩内容 >>
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2c37ad7e
编写于
12月 28, 2016
作者:
X
xutianbing
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
combine data/weight to ContextProjectionBackward for clean code
上级
f23a1170
变更
6
隐藏空白更改
内联
并排
Showing
6 changed file
with
101 addition
and
127 deletion
+101
-127
paddle/function/ContextProjectionOp.cpp
paddle/function/ContextProjectionOp.cpp
+15
-8
paddle/function/ContextProjectionOp.h
paddle/function/ContextProjectionOp.h
+4
-3
paddle/function/ContextProjectionOpGpu.cu
paddle/function/ContextProjectionOpGpu.cu
+28
-0
paddle/function/ContextProjectionOpTest.cpp
paddle/function/ContextProjectionOpTest.cpp
+19
-45
paddle/gserver/layers/ContextProjection.cpp
paddle/gserver/layers/ContextProjection.cpp
+27
-69
paddle/gserver/layers/Projection.h
paddle/gserver/layers/Projection.h
+8
-2
未找到文件。
paddle/function/ContextProjectionOp.cpp
浏览文件 @
2c37ad7e
...
...
@@ -127,13 +127,14 @@ private:
template
<
>
void
ContextProjectionBackward
<
DEVICE_TYPE_CPU
>
(
Tensor
&
out_grad
,
const
Tensor
&
in_grad
,
const
Tensor
&
w_grad
,
Tensor
&
in_grad
,
Tensor
&
w_grad
,
const
Tensor
&
sequence
,
size_t
context_length
,
int
context_start
,
size_t
begin_pad
,
bool
is_padding
)
{
bool
is_padding
,
size_t
total_pad
)
{
CHECK
(
out_grad
.
getData
()
&&
sequence
.
getData
());
CHECK_EQ
(
out_grad
.
dims_
.
size
(),
2
);
CHECK_EQ
(
in_grad
.
dims_
.
size
(),
2
);
...
...
@@ -202,8 +203,8 @@ void ContextProjectionBackward<DEVICE_TYPE_CPU>(Tensor& out_grad,
}
/**
* \param inputs[0] input
value
.
* \param inputs[1]
input weight
.
* \param inputs[0] input
grad
.
* \param inputs[1]
weight grad
.
* \param inputs[2] input sequence.
* \param outputs[0] output value.
*/
...
...
@@ -215,6 +216,7 @@ public:
context_start_
=
config
.
get
<
int
>
(
"context_start"
);
begin_pad_
=
config
.
get
<
size_t
>
(
"begin_pad"
);
is_padding_
=
config
.
get
<
bool
>
(
"is_padding"
);
total_pad_
=
config
.
get
<
size_t
>
(
"total_pad"
);
}
void
calc
(
const
Arguments
&
inputs
,
...
...
@@ -225,13 +227,14 @@ public:
CHECK_EQ
(
0
,
inouts
.
size
());
ContextProjectionBackward
<
Device
>
((
Tensor
&
)
outputs
[
0
],
inputs
[
0
],
inputs
[
1
],
(
Tensor
&
)
inputs
[
0
],
(
Tensor
&
)
inputs
[
1
],
inputs
[
2
],
context_length_
,
context_start_
,
begin_pad_
,
is_padding_
);
is_padding_
,
total_pad_
);
}
private:
...
...
@@ -239,6 +242,7 @@ private:
int
context_start_
;
size_t
begin_pad_
;
bool
is_padding_
;
size_t
total_pad_
;
};
/**
...
...
@@ -321,6 +325,9 @@ REGISTER_TYPED_FUNC(ContextProjectionBackward,
REGISTER_TYPED_FUNC
(
ContextProjectionForward
,
GPU
,
ContextProjectionForwardFunc
);
REGISTER_TYPED_FUNC
(
ContextProjectionBackward
,
GPU
,
ContextProjectionBackwardFunc
);
REGISTER_TYPED_FUNC
(
ContextProjectionBackwardData
,
GPU
,
ContextProjectionBackwardDataFunc
);
...
...
paddle/function/ContextProjectionOp.h
浏览文件 @
2c37ad7e
...
...
@@ -56,13 +56,14 @@ void ContextProjectionForward(Tensor& output,
*/
template
<
DeviceType
Device
>
void
ContextProjectionBackward
(
Tensor
&
out_grad
,
const
Tensor
&
in_grad
,
const
Tensor
&
w_grad
,
Tensor
&
in_grad
,
Tensor
&
w_grad
,
const
Tensor
&
sequence
,
size_t
context_length
,
int
context_start
,
size_t
begin_pad
,
bool
is_padding
);
bool
is_padding
,
size_t
total_pad
);
template
<
DeviceType
Device
>
void
ContextProjectionBackwardData
(
Tensor
&
out_grad
,
...
...
paddle/function/ContextProjectionOpGpu.cu
浏览文件 @
2c37ad7e
...
...
@@ -344,4 +344,32 @@ void ContextProjectionBackwardWeight<DEVICE_TYPE_GPU>(Tensor& out_grad,
begin_pad
);
}
template
<
>
void
ContextProjectionBackward
<
DEVICE_TYPE_GPU
>
(
Tensor
&
out_grad
,
Tensor
&
in_grad
,
Tensor
&
w_grad
,
const
Tensor
&
sequence
,
size_t
context_length
,
int
context_start
,
size_t
begin_pad
,
bool
is_padding
,
size_t
total_pad
)
{
if
(
in_grad
.
getData
())
{
ContextProjectionBackwardData
<
DEVICE_TYPE_GPU
>
(
out_grad
,
in_grad
,
sequence
,
context_length
,
context_start
);
}
if
(
is_padding
&&
w_grad
.
getData
())
{
ContextProjectionBackwardWeight
<
DEVICE_TYPE_GPU
>
(
out_grad
,
w_grad
,
sequence
,
context_length
,
context_start
,
total_pad
,
begin_pad
);
}
}
}
// namespace paddle
paddle/function/ContextProjectionOpTest.cpp
浏览文件 @
2c37ad7e
...
...
@@ -86,33 +86,13 @@ void testMatrixProjectionBackward(int context_start,
std
::
max
(
0
,
(
int
)(
context_start
+
context_length
-
1
));
if
(
pad
==
0
)
is_padding
=
false
;
std
::
shared_ptr
<
FunctionBase
>
cpu_func
(
FunctionBase
::
funcRegistrar_
.
createByType
(
"ContextProjectionBackward-CPU"
));
FuncConfig
cpu_config
;
cpu_config
.
set
(
"context_length"
,
context_length
)
.
set
(
"context_start"
,
context_start
)
.
set
(
"begin_pad"
,
std
::
max
(
0
,
-
context_start
))
.
set
(
"is_padding"
,
is_padding
);
cpu_func
->
init
(
cpu_config
);
std
::
shared_ptr
<
FunctionBase
>
gpu_data_func
(
FunctionBase
::
funcRegistrar_
.
createByType
(
"ContextProjectionBackwardData-GPU"
));
FuncConfig
gpu_data_config
;
gpu_data_config
.
set
(
"context_length"
,
context_length
)
.
set
(
"context_start"
,
context_start
);
gpu_data_func
->
init
(
gpu_data_config
);
std
::
shared_ptr
<
FunctionBase
>
gpu_w_func
(
FunctionBase
::
funcRegistrar_
.
createByType
(
"ContextProjectionBackwardWeight-GPU"
));
FuncConfig
gpu_w_config
;
gpu_w_config
.
set
(
"context_length"
,
context_length
)
.
set
(
"context_start"
,
context_start
)
.
set
(
"begin_pad"
,
std
::
max
(
0
,
-
context_start
))
.
set
(
"total_pad"
,
pad
);
gpu_w_func
->
init
(
gpu_w_config
);
FunctionCompare
compare
(
"ContextProjectionBackward"
,
FuncConfig
()
.
set
(
"context_length"
,
context_length
)
.
set
(
"context_start"
,
context_start
)
.
set
(
"begin_pad"
,
std
::
max
(
0
,
-
context_start
))
.
set
(
"is_padding"
,
is_padding
)
.
set
(
"total_pad"
,
pad
));
CpuMatrix
cpu_in_grad
(
batch_size
,
input_dim
);
cpu_in_grad
.
randomizeUniform
();
...
...
@@ -138,32 +118,26 @@ void testMatrixProjectionBackward(int context_start,
gpu_w_grad
->
copyFrom
(
*
cpu_w_grad
);
}
cpu_func
->
calc
({
Tensor
(
cpu_in_grad
.
getData
(),
Dims
{
batch_size
,
input_dim
}),
Tensor
(
cpu_w_grad
?
cpu_w_grad
->
getData
()
:
nullptr
,
Dims
{
pad
,
input_dim
}),
Tensor
(
reinterpret_cast
<
real
*>
(
cpu_seq
->
getData
()),
Dims
{
cpu_seq
->
getSize
()})},
{
Tensor
(
cpu_out_grad
.
getData
(),
Dims
{
batch_size
,
input_dim
*
context_length
})},
{});
compare
.
getCpuFunction
()
->
calc
(
{
Tensor
(
cpu_in_grad
.
getData
(),
Dims
{
batch_size
,
input_dim
}),
Tensor
(
cpu_w_grad
?
cpu_w_grad
->
getData
()
:
nullptr
,
Dims
{
pad
,
input_dim
}),
Tensor
(
reinterpret_cast
<
real
*>
(
cpu_seq
->
getData
()),
Dims
{
cpu_seq
->
getSize
()})},
{
Tensor
(
cpu_out_grad
.
getData
(),
Dims
{
batch_size
,
input_dim
*
context_length
})},
{});
gpu_data_func
->
calc
(
compare
.
getGpuFunction
()
->
calc
(
{
Tensor
(
gpu_in_grad
.
getData
(),
Dims
{
batch_size
,
input_dim
}),
Tensor
(
gpu_w_grad
?
gpu_w_grad
->
getData
()
:
nullptr
,
Dims
{
pad
,
input_dim
}),
Tensor
(
reinterpret_cast
<
real
*>
(
gpu_seq
->
getData
()),
Dims
{
gpu_seq
->
getSize
()})},
{
Tensor
(
gpu_out_grad
.
getData
(),
Dims
{
batch_size
,
input_dim
*
context_length
})},
{});
if
(
is_padding
&&
gpu_w_grad
)
{
gpu_w_func
->
calc
({
Tensor
(
gpu_w_grad
->
getData
(),
Dims
{
pad
,
input_dim
}),
Tensor
(
reinterpret_cast
<
real
*>
(
gpu_seq
->
getData
()),
Dims
{
gpu_seq
->
getSize
()})},
{
Tensor
(
gpu_out_grad
.
getData
(),
Dims
{
batch_size
,
input_dim
*
context_length
})},
{});
}
autotest
::
TensorCheckErr
(
cpu_in_grad
,
gpu_in_grad
);
if
(
is_padding
)
{
autotest
::
TensorCheckErr
(
*
cpu_w_grad
,
*
gpu_w_grad
);
...
...
paddle/gserver/layers/ContextProjection.cpp
浏览文件 @
2c37ad7e
...
...
@@ -47,43 +47,23 @@ bool ContextProjection::init() {
int
context_start
=
config_
.
context_start
();
bool
is_padding
=
config_
.
trainable_padding
();
size_t
total_pad
=
is_padding
?
beginPad_
+
endPad_
:
0
;
if
(
!
useGpu_
)
{
// CPU functions
createFunction
(
forward_
,
"ContextProjectionForward-CPU"
,
FuncConfig
()
.
set
(
"context_length"
,
context_length
)
.
set
(
"context_start"
,
context_start
)
.
set
(
"begin_pad"
,
beginPad_
)
.
set
(
"is_padding"
,
is_padding
));
createFunction
(
backward_
,
"ContextProjectionBackward-CPU"
,
FuncConfig
()
.
set
(
"context_length"
,
context_length
)
.
set
(
"context_start"
,
context_start
)
.
set
(
"begin_pad"
,
beginPad_
)
.
set
(
"is_padding"
,
is_padding
));
}
else
{
// GPU functions
createFunction
(
forward_
,
"ContextProjectionForward-GPU"
,
FuncConfig
()
.
set
(
"context_length"
,
context_length
)
.
set
(
"context_start"
,
context_start
)
.
set
(
"begin_pad"
,
beginPad_
)
.
set
(
"is_padding"
,
is_padding
));
createFunction
(
backward_
,
"ContextProjectionBackwardData-GPU"
,
FuncConfig
()
.
set
(
"context_length"
,
context_length
)
.
set
(
"context_start"
,
context_start
));
createFunction
(
backward_
,
"ContextProjectionBackwardWeight-GPU"
,
FuncConfig
()
.
set
(
"context_length"
,
context_length
)
.
set
(
"context_start"
,
context_start
)
.
set
(
"begin_pad"
,
beginPad_
)
.
set
(
"total_pad"
,
total_pad
));
}
createFunction
(
forward_
,
"ContextProjectionForward"
,
FuncConfig
()
.
set
(
"context_length"
,
context_length
)
.
set
(
"context_start"
,
context_start
)
.
set
(
"begin_pad"
,
beginPad_
)
.
set
(
"is_padding"
,
is_padding
));
createFunction
(
backward_
,
"ContextProjectionBackward"
,
FuncConfig
()
.
set
(
"context_length"
,
context_length
)
.
set
(
"context_start"
,
context_start
)
.
set
(
"begin_pad"
,
beginPad_
)
.
set
(
"is_padding"
,
is_padding
)
.
set
(
"total_pad"
,
total_pad
));
return
true
;
}
...
...
@@ -185,38 +165,16 @@ void ContextProjection::backward(const UpdateCallback& callback) {
REGISTER_TIMER_INFO
(
"ContextProjectionBackward"
,
getName
().
c_str
());
bool
is_padding
=
config_
.
trainable_padding
();
auto
start_pos
=
in_
->
sequenceStartPositions
;
if
(
!
out_
->
grad
->
useGpu
())
{
auto
w_ptr
=
is_padding
?
weight_
->
getWGrad
()
:
nullptr
;
backward_
[
0
]
->
calc
({
Tensor
(
in_
->
grad
?
in_
->
grad
->
getData
()
:
nullptr
,
Dims
{
batch_size
,
input_dim
}),
Tensor
(
w_ptr
?
w_ptr
->
getData
()
:
nullptr
,
Dims
{
w_ptr
?
w_ptr
->
getHeight
()
:
0
,
input_dim
}),
Tensor
(
reinterpret_cast
<
real
*>
(
const_cast
<
int
*>
(
start_pos
->
getData
(
useGpu_
))),
Dims
{
start_pos
->
getSize
()})},
{
Tensor
(
out_
->
grad
->
getData
(),
Dims
{
batch_size
,
dim
})},
{});
}
else
{
if
(
in_
->
grad
)
{
backward_
[
0
]
->
calc
(
{
Tensor
(
in_
->
grad
->
getData
(),
Dims
{
batch_size
,
input_dim
}),
Tensor
(
reinterpret_cast
<
real
*>
(
const_cast
<
int
*>
(
start_pos
->
getData
(
useGpu_
))),
Dims
{
start_pos
->
getSize
()})},
{
Tensor
(
out_
->
grad
->
getData
(),
Dims
{
batch_size
,
dim
})},
{});
}
if
(
is_padding
&&
weight_
->
getWGrad
())
{
backward_
[
1
]
->
calc
(
{
Tensor
(
weight_
->
getWGrad
()
->
getData
(),
Dims
{
weight_
->
getWGrad
()
->
getHeight
(),
input_dim
}),
Tensor
(
reinterpret_cast
<
real
*>
(
const_cast
<
int
*>
(
start_pos
->
getData
(
useGpu_
))),
Dims
{
start_pos
->
getSize
()})},
{
Tensor
(
out_
->
grad
->
getData
(),
Dims
{
batch_size
,
dim
})},
{});
}
}
auto
w_ptr
=
is_padding
?
weight_
->
getWGrad
()
:
nullptr
;
backward_
[
0
]
->
calc
({
Tensor
(
in_
->
grad
?
in_
->
grad
->
getData
()
:
nullptr
,
Dims
{
batch_size
,
input_dim
}),
Tensor
(
w_ptr
?
w_ptr
->
getData
()
:
nullptr
,
Dims
{
w_ptr
?
w_ptr
->
getHeight
()
:
0
,
input_dim
}),
Tensor
(
reinterpret_cast
<
real
*>
(
const_cast
<
int
*>
(
start_pos
->
getData
(
useGpu_
))),
Dims
{
start_pos
->
getSize
()})},
{
Tensor
(
out_
->
grad
->
getData
(),
Dims
{
batch_size
,
dim
})},
{});
if
(
config_
.
trainable_padding
())
{
weight_
->
getParameterPtr
()
->
incUpdate
(
callback
);
...
...
paddle/gserver/layers/Projection.h
浏览文件 @
2c37ad7e
...
...
@@ -102,13 +102,19 @@ protected:
/**
* Create layer function. Function is called in forward or backward.
* \param function, Layer::forward_ or Layer::backward_
* \param name, function name
, include -GPU or -CPU
* \param name, function name
* \param config, initialization configuration for the function
*/
void
createFunction
(
std
::
vector
<
std
::
shared_ptr
<
FunctionBase
>>&
function
,
const
std
::
string
&
name
,
const
FuncConfig
&
config
)
{
function
.
emplace_back
(
FunctionBase
::
funcRegistrar_
.
createByType
(
name
));
if
(
useGpu_
)
{
function
.
emplace_back
(
FunctionBase
::
funcRegistrar_
.
createByType
(
name
+
"-GPU"
));
}
else
{
function
.
emplace_back
(
FunctionBase
::
funcRegistrar_
.
createByType
(
name
+
"-CPU"
));
}
auto
&
func
=
function
.
back
();
func
->
init
(
config
);
}
...
...
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