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ce182d90
编写于
8月 22, 2018
作者:
F
fengjiayi
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
bug fix
上级
34b209cf
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
26 addition
and
16 deletion
+26
-16
paddle/fluid/operators/math/sequence_padding.cu
paddle/fluid/operators/math/sequence_padding.cu
+24
-14
paddle/fluid/operators/math/sequence_padding.h
paddle/fluid/operators/math/sequence_padding.h
+2
-2
未找到文件。
paddle/fluid/operators/math/sequence_padding.cu
浏览文件 @
ce182d90
...
...
@@ -22,8 +22,8 @@ namespace math {
template
<
typename
T
,
CopyType
Type
>
__global__
void
SequencePaddingKernel
(
T
*
dst
,
const
T
*
src
,
const
T
*
pad_value
,
bool
is_constant_pad
,
const
size_t
*
seq_offsets
,
const
size_t
&
seq_num
,
const
size_t
&
pad_seq_len
,
const
size_t
&
step_width
,
bool
norm_by_len
,
const
PadLayout
&
layout
)
{
const
size_t
*
seq_offsets
,
const
size_t
seq_num
,
const
size_t
pad_seq_len
,
const
size_t
step_width
,
bool
norm_by_len
,
const
PadLayout
layout
)
{
size_t
seq_idx
=
blockIdx
.
y
;
size_t
seq_len
=
seq_offsets
[
seq_idx
+
1
]
-
seq_offsets
[
seq_idx
];
...
...
@@ -43,7 +43,7 @@ __global__ void SequencePaddingKernel(
dst_data
[
i
]
=
scale
*
src_data
[
i
];
}
}
else
if
(
step_idx
<
pad_seq_len
&&
Type
==
kSeqToPad
)
{
for
(
size_t
i
=
threadIdx
.
x
;
i
<
s
eq
_width
;
i
+=
blockDim
.
x
)
{
for
(
size_t
i
=
threadIdx
.
x
;
i
<
s
tep
_width
;
i
+=
blockDim
.
x
)
{
dst_data
[
i
]
=
is_constant_pad
?
pad_value
[
0
]
:
pad_value
[
i
];
}
}
...
...
@@ -54,7 +54,7 @@ class PaddingLoDTensorFunctor<platform::CUDADeviceContext, T> {
public:
void
operator
()(
const
platform
::
CUDADeviceContext
&
context
,
const
framework
::
LoDTensor
&
seq_tensor
,
framework
::
Tensor
*
pad_tensor
,
framework
::
LoD
Tensor
*
pad_tensor
,
const
framework
::
LoDTensor
&
pad_value
,
int
pad_seq_len
=
-
1
,
int
lod_level
=
0
,
bool
norm_by_times
=
false
,
const
PadLayout
layout
=
kBatchLengthWidth
)
{
...
...
@@ -62,11 +62,12 @@ class PaddingLoDTensorFunctor<platform::CUDADeviceContext, T> {
const
auto
seq_offsets
=
framework
::
ToAbsOffset
(
seq_lod
)[
lod_level
];
const
auto
&
seq_tensor_dims
=
seq_tensor
.
dims
();
const
auto
&
pad_tensor_dims
=
pad_tensor
->
dims
();
int
max_seq_len
=
MaximumSequenceLength
(
seq_offsets
);
if
(
pad_seq_len
==
-
1
)
{
pad_seq_len
=
MaximumSequenceLength
(
seq_offsets
)
;
pad_seq_len
=
max_seq_len
;
}
int
step_width
=
seq_tensor
.
numel
()
/
seq_tensor_dims
[
0
];
int
seq_num
=
seq_offset
.
size
()
-
1
;
int
seq_num
=
seq_offset
s
.
size
()
-
1
;
CheckDims
(
seq_tensor_dims
,
pad_tensor_dims
,
seq_offsets
,
pad_seq_len
,
step_width
,
layout
);
...
...
@@ -74,13 +75,13 @@ class PaddingLoDTensorFunctor<platform::CUDADeviceContext, T> {
"The numel of 'pad_value' can only be 1 or be equal to the "
"'step_width'."
);
if
(
!
norm_by_times
&&
seq_num
==
1UL
&&
pad_seq_len
==
-
1
)
{
if
(
!
norm_by_times
&&
seq_num
==
1UL
&&
pad_seq_len
==
max_seq_len
)
{
TensorCopy
(
seq_tensor
,
context
.
GetPlace
(),
context
,
pad_tensor
);
pad_tensor
->
Resize
(
pad_tensor_dims
);
return
;
}
const
int
64_t
kBlockSize
=
512
;
const
int
kBlockSize
=
512
;
/* At least use 32 threads to copy sequence_width elements,
* and at least 8 elements for each thread.
...
...
@@ -100,8 +101,16 @@ class PaddingLoDTensorFunctor<platform::CUDADeviceContext, T> {
SequencePaddingKernel
<
T
,
kSeqToPad
><<<
grid
,
threads
,
0
,
context
.
stream
()
>>>
(
pad_data
,
seq_data
,
pad_value_data
,
pad_value
.
numel
()
==
1
,
seq_offset
.
CUDAData
(
context
.
GetPlace
()),
seq_num
,
pad_seq_len
,
seq_offset
s
.
CUDAData
(
context
.
GetPlace
()),
seq_num
,
pad_seq_len
,
step_width
,
norm_by_times
,
layout
);
if
(
layout
==
kBatchLengthWidth
)
{
framework
::
LoD
pad_lod
(
seq_lod
.
begin
()
+
lod_level
,
seq_lod
.
end
());
for
(
size_t
i
=
0
;
i
<
pad_lod
[
0
].
size
();
++
i
)
{
pad_lod
[
0
][
i
]
=
i
*
pad_seq_len
;
}
pad_tensor
->
set_lod
(
pad_lod
);
}
}
};
...
...
@@ -116,22 +125,23 @@ class UnpaddingLoDTensorFunctor<platform::CUDADeviceContext, T> {
auto
seq_offsets
=
framework
::
ToAbsOffset
(
seq_tensor
->
lod
())[
lod_level
];
const
auto
&
seq_tensor_dims
=
seq_tensor
->
dims
();
const
auto
&
pad_tensor_dims
=
pad_tensor
.
dims
();
int
max_seq_len
=
MaximumSequenceLength
(
seq_offsets
);
if
(
pad_seq_len
==
-
1
)
{
pad_seq_len
=
MaximumSequenceLength
(
seq_offsets
)
;
pad_seq_len
=
max_seq_len
;
}
int
step_width
=
seq_tensor
->
numel
()
/
seq_tensor_dims
[
0
];
int
seq_num
=
seq_offset
.
size
()
-
1
;
int
seq_num
=
seq_offset
s
.
size
()
-
1
;
CheckDims
(
seq_tensor_dims
,
pad_tensor_dims
,
seq_offsets
,
pad_seq_len
,
step_width
,
layout
);
if
(
!
norm_by_times
&&
seq_num
==
1UL
&&
pad_seq_len
==
-
1
)
{
if
(
!
norm_by_times
&&
seq_num
==
1UL
&&
pad_seq_len
==
max_seq_len
)
{
TensorCopy
(
pad_tensor
,
context
.
GetPlace
(),
context
,
seq_tensor
);
seq_tensor
->
Resize
(
seq_tensor_dims
);
return
;
}
const
int
64_t
kBlockSize
=
512
;
const
int
kBlockSize
=
512
;
/* At least use 32 threads to copy sequence_width elements,
* and at least 8 elements for each thread.
...
...
@@ -150,7 +160,7 @@ class UnpaddingLoDTensorFunctor<platform::CUDADeviceContext, T> {
SequencePaddingKernel
<
T
,
kPadToSeq
><<<
grid
,
threads
,
0
,
context
.
stream
()
>>>
(
seq_data
,
pad_data
,
nullptr
,
false
,
seq_offset
.
CUDAData
(
context
.
GetPlace
()),
seq_num
,
pad_seq_len
,
seq_offset
s
.
CUDAData
(
context
.
GetPlace
()),
seq_num
,
pad_seq_len
,
step_width
,
norm_by_times
,
layout
);
}
};
...
...
paddle/fluid/operators/math/sequence_padding.h
浏览文件 @
ce182d90
...
...
@@ -81,7 +81,7 @@ inline static void CheckDims(const framework::DDim& seq_tensor_dims,
template
<
typename
DeviceContext
,
typename
T
>
class
PaddingLoDTensorFunctor
{
public:
void
operator
()(
const
platform
::
CPU
DeviceContext
&
context
,
void
operator
()(
const
DeviceContext
&
context
,
const
framework
::
LoDTensor
&
seq_tensor
,
framework
::
LoDTensor
*
pad_tensor
,
const
framework
::
LoDTensor
&
pad_value
,
int
pad_seq_len
=
-
1
,
...
...
@@ -92,7 +92,7 @@ class PaddingLoDTensorFunctor {
template
<
typename
DeviceContext
,
typename
T
>
class
UnpaddingLoDTensorFunctor
{
public:
void
operator
()(
const
platform
::
CPU
DeviceContext
&
context
,
void
operator
()(
const
DeviceContext
&
context
,
const
framework
::
LoDTensor
&
pad_tensor
,
framework
::
LoDTensor
*
seq_tensor
,
int
pad_seq_len
=
-
1
,
int
lod_level
=
0
,
bool
norm_by_times
=
false
,
...
...
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