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ea96172e
编写于
9月 15, 2022
作者:
H
HongyuJia
提交者:
GitHub
9月 15, 2022
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电子邮件补丁
差异文件
refine PADDLE_WITH_MKLDNN code (#46053)
* refine PADDLE_WITH_MKLDNN code * fix data_norm_op * polish addmm_op
上级
3671d114
变更
5
显示空白变更内容
内联
并排
Showing
5 changed file
with
34 addition
and
51 deletion
+34
-51
paddle/fluid/operators/addmm_op.cc
paddle/fluid/operators/addmm_op.cc
+9
-15
paddle/fluid/operators/angle_op.cc
paddle/fluid/operators/angle_op.cc
+0
-3
paddle/fluid/operators/batch_norm_op.cc
paddle/fluid/operators/batch_norm_op.cc
+12
-15
paddle/fluid/operators/conv_transpose_op.cc
paddle/fluid/operators/conv_transpose_op.cc
+1
-3
paddle/fluid/operators/data_norm_op.cc
paddle/fluid/operators/data_norm_op.cc
+12
-15
未找到文件。
paddle/fluid/operators/addmm_op.cc
浏览文件 @
ea96172e
...
...
@@ -39,30 +39,24 @@ class AddMMOp : public framework::OperatorWithKernel {
framework
::
OpKernelType
GetExpectedKernelType
(
const
framework
::
ExecutionContext
&
ctx
)
const
{
framework
::
LibraryType
library
=
framework
::
LibraryType
::
kPlain
;
framework
::
DataLayout
layout
=
framework
::
DataLayout
::
kAnyLayout
;
int
customized_type_value
=
framework
::
OpKernelType
::
kDefaultCustomizedTypeValue
;
auto
input_data_type
=
OperatorWithKernel
::
IndicateVarDataType
(
ctx
,
"X"
);
#ifdef PADDLE_WITH_MKLDNN
if
(
library
==
framework
::
LibraryType
::
kPlain
&&
this
->
CanMKLDNNBeUsed
(
ctx
,
input_data_type
))
{
library
=
framework
::
LibraryType
::
kMKLDNN
;
layout
=
framework
::
DataLayout
::
kMKLDNN
;
if
(
this
->
CanMKLDNNBeUsed
(
ctx
,
input_data_type
))
{
int
customized_type_value
=
framework
::
OpKernelType
::
kDefaultCustomizedTypeValue
;
if
(
input_data_type
==
framework
::
DataTypeTrait
<
int8_t
>::
DataType
()
||
input_data_type
==
framework
::
DataTypeTrait
<
uint8_t
>::
DataType
())
{
customized_type_value
=
kMULMKLDNNINT8
;
}
}
#endif
return
framework
::
OpKernelType
(
input_data_type
,
ctx
.
GetPlace
(),
layout
,
library
,
framework
::
DataLayout
::
kMKLDNN
,
framework
::
LibraryType
::
kMKLDNN
,
customized_type_value
);
}
#endif
return
framework
::
OpKernelType
(
input_data_type
,
ctx
.
GetPlace
());
}
};
class
AddMMOpMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
...
...
paddle/fluid/operators/angle_op.cc
浏览文件 @
ea96172e
...
...
@@ -16,9 +16,6 @@
#include <string>
#include <unordered_map>
#include <vector>
#ifdef PADDLE_WITH_MKLDNN
#include "paddle/fluid/platform/mkldnn_helper.h"
#endif
#include "paddle/fluid/framework/infershape_utils.h"
#include "paddle/fluid/framework/op_registry.h"
...
...
paddle/fluid/operators/batch_norm_op.cc
浏览文件 @
ea96172e
...
...
@@ -195,18 +195,16 @@ framework::OpKernelType BatchNormOp::GetExpectedKernelType(
"Variance input should be of float type"
));
// TODO(pzelazko-intel): enable MKLDNN layout when it's ready
framework
::
LibraryType
library
=
framework
::
LibraryType
::
kPlain
;
framework
::
DataLayout
layout
=
framework
::
DataLayout
::
kAnyLayout
;
#ifdef PADDLE_WITH_MKLDNN
if
(
library
==
framework
::
LibraryType
::
kPlain
&&
this
->
CanMKLDNNBeUsed
(
ctx
,
input_data_type
))
{
library
=
framework
::
LibraryType
::
kMKLDNN
;
layout
=
framework
::
DataLayout
::
kMKLDNN
;
if
(
this
->
CanMKLDNNBeUsed
(
ctx
,
input_data_type
))
{
return
framework
::
OpKernelType
(
input_data_type
,
ctx
.
GetPlace
(),
framework
::
DataLayout
::
kMKLDNN
,
framework
::
LibraryType
::
kMKLDNN
);
}
#endif
return
framework
::
OpKernelType
(
input_data_type
,
ctx
.
GetPlace
(),
layout
,
library
);
return
framework
::
OpKernelType
(
input_data_type
,
ctx
.
GetPlace
());
}
framework
::
OpKernelType
BatchNormOp
::
GetKernelTypeForVar
(
...
...
@@ -396,19 +394,18 @@ framework::OpKernelType BatchNormGradOp::GetExpectedKernelType(
}
// TODO(pzelazko-intel): enable MKLDNN layout when it's ready
framework
::
LibraryType
library
=
framework
::
LibraryType
::
kPlain
;
framework
::
DataLayout
layout
=
framework
::
DataLayout
::
kAnyLayout
;
auto
data_type
=
OperatorWithKernel
::
IndicateVarDataType
(
ctx
,
"X"
);
#ifdef PADDLE_WITH_MKLDNN
if
(
library
==
framework
::
LibraryType
::
kPlain
&&
this
->
CanMKLDNNBeUsed
(
ctx
,
data_type
))
{
library
=
framework
::
LibraryType
::
kMKLDNN
;
layout
=
framework
::
DataLayout
::
kMKLDNN
;
if
(
this
->
CanMKLDNNBeUsed
(
ctx
,
data_type
))
{
return
framework
::
OpKernelType
(
data_type
,
ctx
.
GetPlace
(),
framework
::
DataLayout
::
kMKLDNN
,
framework
::
LibraryType
::
kMKLDNN
);
}
#endif
return
framework
::
OpKernelType
(
data_type
,
ctx
.
GetPlace
()
,
layout
,
library
);
return
framework
::
OpKernelType
(
data_type
,
ctx
.
GetPlace
());
}
framework
::
OpKernelType
BatchNormGradOp
::
GetKernelTypeForVar
(
...
...
paddle/fluid/operators/conv_transpose_op.cc
浏览文件 @
ea96172e
...
...
@@ -80,9 +80,7 @@ framework::OpKernelType ConvTransposeOp::GetKernelTypeForVar(
// op. Treat this as NCHW (default data_format value)
if
(
dl
!=
framework
::
DataLayout
::
kAnyLayout
)
{
return
framework
::
OpKernelType
(
expected_kernel_type
.
data_type_
,
tensor
.
place
(),
framework
::
StringToDataLayout
(
data_format
));
expected_kernel_type
.
data_type_
,
tensor
.
place
(),
dl
);
}
}
#endif
...
...
paddle/fluid/operators/data_norm_op.cc
浏览文件 @
ea96172e
...
...
@@ -200,18 +200,16 @@ class DataNormOp : public framework::OperatorWithKernel {
"bias input should be of float type"
));
}
// TODO(pzelazko-intel): enable MKLDNN layout when it's ready
framework
::
LibraryType
library
=
framework
::
LibraryType
::
kPlain
;
framework
::
DataLayout
layout
=
framework
::
DataLayout
::
kAnyLayout
;
#ifdef PADDLE_WITH_MKLDNN
if
(
library
==
framework
::
LibraryType
::
kPlain
&&
this
->
CanMKLDNNBeUsed
(
ctx
,
input_data_type
))
{
library
=
framework
::
LibraryType
::
kMKLDNN
;
layout
=
framework
::
DataLayout
::
kMKLDNN
;
if
(
this
->
CanMKLDNNBeUsed
(
ctx
,
input_data_type
))
{
return
framework
::
OpKernelType
(
input_data_type
,
ctx
.
GetPlace
(),
framework
::
DataLayout
::
kMKLDNN
,
framework
::
LibraryType
::
kMKLDNN
);
}
#endif
return
framework
::
OpKernelType
(
input_data_type
,
ctx
.
GetPlace
(),
layout
,
library
);
return
framework
::
OpKernelType
(
input_data_type
,
ctx
.
GetPlace
());
}
};
...
...
@@ -511,19 +509,18 @@ class DataNormGradOp : public framework::OperatorWithKernel {
}
// TODO(pzelazko-intel): enable MKLDNN layout when it's ready
framework
::
LibraryType
library
=
framework
::
LibraryType
::
kPlain
;
framework
::
DataLayout
layout
=
framework
::
DataLayout
::
kAnyLayout
;
auto
data_type
=
OperatorWithKernel
::
IndicateVarDataType
(
ctx
,
"X"
);
#ifdef PADDLE_WITH_MKLDNN
if
(
library
==
framework
::
LibraryType
::
kPlain
&&
this
->
CanMKLDNNBeUsed
(
ctx
,
data_type
))
{
library
=
framework
::
LibraryType
::
kMKLDNN
;
layout
=
framework
::
DataLayout
::
kMKLDNN
;
if
(
this
->
CanMKLDNNBeUsed
(
ctx
,
data_type
))
{
return
framework
::
OpKernelType
(
data_type
,
ctx
.
GetPlace
(),
framework
::
DataLayout
::
kMKLDNN
,
framework
::
LibraryType
::
kMKLDNN
);
}
#endif
return
framework
::
OpKernelType
(
data_type
,
ctx
.
GetPlace
()
,
layout
,
library
);
return
framework
::
OpKernelType
(
data_type
,
ctx
.
GetPlace
());
}
};
...
...
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