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ff07f8a2
编写于
10月 25, 2022
作者:
H
HongyuJia
提交者:
GitHub
10月 25, 2022
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差异文件
[CUDNN hardcode] Opt CUDNN hardcode of sequence_softmax (#47319)
* opt cudnn hardcode of sequence_softmax * fix grad datatype
上级
98beb5af
变更
1
隐藏空白更改
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并排
Showing
1 changed file
with
26 addition
and
38 deletion
+26
-38
paddle/fluid/operators/sequence_ops/sequence_softmax_op.cc
paddle/fluid/operators/sequence_ops/sequence_softmax_op.cc
+26
-38
未找到文件。
paddle/fluid/operators/sequence_ops/sequence_softmax_op.cc
浏览文件 @
ff07f8a2
...
...
@@ -16,6 +16,10 @@ limitations under the License. */
#include <string>
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
#include "paddle/fluid/platform/device/gpu/gpu_dnn.h"
#endif
namespace
paddle
{
namespace
operators
{
...
...
@@ -34,28 +38,20 @@ class SequenceSoftmaxOp : public framework::OperatorWithKernel {
protected:
framework
::
OpKernelType
GetExpectedKernelType
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
// choose cudnn kernel if the runtime supported.
bool
use_cudnn
=
ctx
.
HasAttr
(
"use_cudnn"
)
?
ctx
.
Attr
<
bool
>
(
"use_cudnn"
)
:
false
;
bool
runtime_cudnn_support
=
false
;
auto
input_data_type
=
OperatorWithKernel
::
IndicateVarDataType
(
ctx
,
"X"
);
phi
::
DataLayout
layout_
=
DataLayout
::
kAnyLayout
;
if
(
ctx
.
HasAttr
(
"data_format"
))
{
layout_
=
phi
::
StringToDataLayout
(
ctx
.
Attr
<
std
::
string
>
(
"data_format"
));
}
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
if
(
platform
::
is_gpu_place
(
ctx
.
GetPlace
()))
{
auto
&
dev_ctx
=
ctx
.
template
device_context
<
phi
::
GPUContext
>();
runtime_cudnn_support
=
dev_ctx
.
cudnn_handle
()
!=
nullptr
?
true
:
false
;
if
(
platform
::
CanCUDNNBeUsed
(
ctx
))
{
return
framework
::
OpKernelType
(
input_data_type
,
ctx
.
GetPlace
(),
layout_
,
framework
::
LibraryType
::
kCUDNN
);
}
#endif
framework
::
LibraryType
library_
=
framework
::
LibraryType
::
kPlain
;
if
(
use_cudnn
&&
runtime_cudnn_support
)
{
library_
=
framework
::
LibraryType
::
kCUDNN
;
}
std
::
string
data_format
=
ctx
.
HasAttr
(
"data_format"
)
?
ctx
.
Attr
<
std
::
string
>
(
"data_format"
)
:
"AnyLayout"
;
return
framework
::
OpKernelType
(
OperatorWithKernel
::
IndicateVarDataType
(
ctx
,
"X"
),
ctx
.
GetPlace
(),
phi
::
StringToDataLayout
(
data_format
),
library_
);
return
framework
::
OpKernelType
(
input_data_type
,
ctx
.
GetPlace
(),
layout_
);
}
};
...
...
@@ -134,28 +130,20 @@ class SequenceSoftmaxGradOp : public framework::OperatorWithKernel {
protected:
framework
::
OpKernelType
GetExpectedKernelType
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
// choose cudnn kernel if the runtime supported.
bool
use_cudnn
=
ctx
.
HasAttr
(
"use_cudnn"
)
?
ctx
.
Attr
<
bool
>
(
"use_cudnn"
)
:
false
;
bool
runtime_cudnn_support
=
false
;
auto
input_data_type
=
OperatorWithKernel
::
IndicateVarDataType
(
ctx
,
"Out"
);
phi
::
DataLayout
layout_
=
DataLayout
::
kAnyLayout
;
if
(
ctx
.
HasAttr
(
"data_format"
))
{
layout_
=
phi
::
StringToDataLayout
(
ctx
.
Attr
<
std
::
string
>
(
"data_format"
));
}
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
if
(
platform
::
is_gpu_place
(
ctx
.
GetPlace
()))
{
auto
&
dev_ctx
=
ctx
.
template
device_context
<
phi
::
GPUContext
>();
runtime_cudnn_support
=
dev_ctx
.
cudnn_handle
()
!=
nullptr
?
true
:
false
;
if
(
platform
::
CanCUDNNBeUsed
(
ctx
))
{
return
framework
::
OpKernelType
(
input_data_type
,
ctx
.
GetPlace
(),
layout_
,
framework
::
LibraryType
::
kCUDNN
);
}
#endif
framework
::
LibraryType
library_
=
framework
::
LibraryType
::
kPlain
;
if
(
use_cudnn
&&
runtime_cudnn_support
)
{
library_
=
framework
::
LibraryType
::
kCUDNN
;
}
std
::
string
data_format
=
ctx
.
HasAttr
(
"data_format"
)
?
ctx
.
Attr
<
std
::
string
>
(
"data_format"
)
:
"AnyLayout"
;
return
framework
::
OpKernelType
(
OperatorWithKernel
::
IndicateVarDataType
(
ctx
,
"Out"
),
ctx
.
GetPlace
(),
phi
::
StringToDataLayout
(
data_format
),
library_
);
return
framework
::
OpKernelType
(
input_data_type
,
ctx
.
GetPlace
(),
layout_
);
}
};
...
...
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