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736842e4
编写于
1月 15, 2018
作者:
F
fengjiayi
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3 changed file
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-0
paddle/operators/elementwise_max_op.cc
paddle/operators/elementwise_max_op.cc
+45
-0
paddle/operators/elementwise_max_op.h
paddle/operators/elementwise_max_op.h
+107
-0
paddle/operators/elementwise_min_op.cc
paddle/operators/elementwise_min_op.cc
+45
-0
未找到文件。
paddle/operators/elementwise_max_op.cc
0 → 100644
浏览文件 @
736842e4
/* 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 "paddle/operators/elementwise_max_op.h"
#include "paddle/operators/elementwise_op.h"
namespace
paddle
{
namespace
operators
{
class
ElementwiseMaxOpMaker
:
public
ElementwiseOpMaker
{
public:
ElementwiseMaxOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
ElementwiseOpMaker
(
proto
,
op_checker
)
{
SetComment
(
"Max"
,
"Out = max(X, Y)"
);
AddComment
(
comment_
);
}
};
}
// namespace operators
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OP
(
elementwise_max
,
ops
::
ElementwiseOp
,
ops
::
ElementwiseMaxOpMaker
,
elementwise_max_grad
,
ops
::
ElementwiseOpGrad
);
REGISTER_OP_CPU_KERNEL
(
elementwise_max
,
ops
::
ElementwiseMaxKernel
<
paddle
::
platform
::
CPUDeviceContext
,
float
>
,
ops
::
ElementwiseMaxKernel
<
paddle
::
platform
::
CPUDeviceContext
,
double
>
,
ops
::
ElementwiseMaxKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int
>
,
ops
::
ElementwiseMaxKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int64_t
>
);
REGISTER_OP_CPU_KERNEL
(
elementwise_max_grad
,
ops
::
ElementwiseMaxGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
float
>
,
ops
::
ElementwiseMaxGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
double
>
,
ops
::
ElementwiseMaxGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int
>
,
ops
::
ElementwiseMaxGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int64_t
>
);
\ No newline at end of file
paddle/operators/elementwise_max_op.h
0 → 100644
浏览文件 @
736842e4
/* 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/operators/elementwise_op_function.h"
namespace
paddle
{
namespace
operators
{
template
<
typename
T
>
struct
MaxFunctor
{
inline
HOSTDEVICE
T
operator
()(
T
a
,
T
b
)
const
{
return
a
>
b
?
a
:
b
;
}
};
template
<
typename
DeviceContext
,
typename
T
>
class
ElementwiseMaxKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
using
Tensor
=
framework
::
Tensor
;
auto
*
x
=
ctx
.
Input
<
Tensor
>
(
"X"
);
auto
*
y
=
ctx
.
Input
<
Tensor
>
(
"Y"
);
auto
*
z
=
ctx
.
Output
<
Tensor
>
(
"Out"
);
z
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
TransformFunctor
<
MaxFunctor
<
T
>
,
T
,
DeviceContext
>
functor
(
x
,
y
,
z
,
ctx
.
template
device_context
<
DeviceContext
>(),
MaxFunctor
<
T
>
());
auto
x_dims
=
x
->
dims
();
auto
y_dims
=
y
->
dims
();
PADDLE_ENFORCE_GE
(
x_dims
.
size
(),
y_dims
.
size
(),
"Rank of first input must >= rank of second input."
);
if
(
x_dims
==
y_dims
)
{
functor
.
Run
();
return
;
}
int
axis
=
ctx
.
Attr
<
int
>
(
"axis"
);
axis
=
(
axis
==
-
1
?
x_dims
.
size
()
-
y_dims
.
size
()
:
axis
);
PADDLE_ENFORCE
(
axis
>=
0
&&
axis
<
x_dims
.
size
(),
"Axis should be in range [0, x_dims)"
);
int
pre
,
n
,
post
;
get_mid_dims
(
x_dims
,
y_dims
,
axis
,
pre
,
n
,
post
);
if
(
post
==
1
)
{
functor
.
RunRowWise
(
n
,
pre
);
return
;
}
else
{
functor
.
RunMidWise
(
n
,
pre
,
post
);
return
;
}
}
};
template
<
typename
T
>
struct
ElementwiseSubGradFunctor
{
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
Z
,
typename
dX
,
typename
dY
,
typename
dZ
>
void
operator
()(
Device
d
,
X
x
,
Y
y
,
Z
z
,
dX
dx
,
dY
dy
,
dZ
dz
)
{
auto
dz_e
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
dz
);
auto
x_e
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
x
);
auto
y_e
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
y
);
if
(
dx
)
{
auto
dx_e
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
dx
);
dx_e
.
device
(
d
)
=
(
x_e
>
y_e
)
*
dz_e
;
}
if
(
dy
)
{
auto
dy_e
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
dy
);
dy_e
.
device
(
d
)
=
(
y_e
>=
x_e
)
*
dz_e
;
}
}
};
template
<
typename
T
>
struct
ElementwiseSubOneGradFunctor
{
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
Z
,
typename
dX
,
typename
dY
,
typename
dZ
>
void
operator
()(
Device
d
,
X
x
,
Y
y
,
Z
z
,
dX
dx
,
dY
dy
,
dZ
dz
)
{
auto
dz_e
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
dz
);
auto
x_e
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
x
);
auto
y_e
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
y
);
if
(
dx
)
{
auto
dx_e
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
dx
);
dx_e
.
device
(
d
)
=
dz_e
;
}
if
(
dy
)
{
auto
dy_e
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
dy
);
dy_e
.
device
(
d
)
=
(
-
1.0
)
*
dz_e
.
sum
();
}
}
};
}
// namespace operators
}
// namespace paddle
paddle/operators/elementwise_min_op.cc
0 → 100644
浏览文件 @
736842e4
/* 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 "paddle/operators/elementwise_min_op.h"
#include "paddle/operators/elementwise_op.h"
namespace
paddle
{
namespace
operators
{
class
ElementwiseMinOpMaker
:
public
ElementwiseOpMaker
{
public:
ElementwiseMinOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
ElementwiseOpMaker
(
proto
,
op_checker
)
{
SetComment
(
"Max"
,
"Out = min(X, Y)"
);
AddComment
(
comment_
);
}
};
}
// namespace operators
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OP
(
elementwise_min
,
ops
::
ElementwiseOp
,
ops
::
ElementwiseMinOpMaker
,
elementwise_min_grad
,
ops
::
ElementwiseOpGrad
);
REGISTER_OP_CPU_KERNEL
(
elementwise_min
,
ops
::
ElementwiseMinKernel
<
paddle
::
platform
::
CPUDeviceContext
,
float
>
,
ops
::
ElementwiseMinKernel
<
paddle
::
platform
::
CPUDeviceContext
,
double
>
,
ops
::
ElementwiseMinKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int
>
,
ops
::
ElementwiseMinKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int64_t
>
);
REGISTER_OP_CPU_KERNEL
(
elementwise_min_grad
,
ops
::
ElementwiseMinGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
float
>
,
ops
::
ElementwiseMinGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
double
>
,
ops
::
ElementwiseMinGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int
>
,
ops
::
ElementwiseMinGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int64_t
>
);
\ No newline at end of file
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