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c108d610
编写于
8月 21, 2017
作者:
Y
Yu Yang
浏览文件
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电子邮件补丁
差异文件
Identity operator and its gradient
上级
0d9846f3
变更
8
隐藏空白更改
内联
并排
Showing
8 changed file
with
149 addition
and
1 deletion
+149
-1
paddle/framework/CMakeLists.txt
paddle/framework/CMakeLists.txt
+2
-1
paddle/framework/pybind.cc
paddle/framework/pybind.cc
+1
-0
paddle/operators/CMakeLists.txt
paddle/operators/CMakeLists.txt
+1
-0
paddle/operators/identity_op.cc
paddle/operators/identity_op.cc
+71
-0
paddle/operators/identity_op.cu
paddle/operators/identity_op.cu
+17
-0
paddle/operators/identity_op.h
paddle/operators/identity_op.h
+32
-0
python/paddle/v2/framework/tests/CMakeLists.txt
python/paddle/v2/framework/tests/CMakeLists.txt
+1
-0
python/paddle/v2/framework/tests/test_identity_op.py
python/paddle/v2/framework/tests/test_identity_op.py
+24
-0
未找到文件。
paddle/framework/CMakeLists.txt
浏览文件 @
c108d610
...
...
@@ -55,5 +55,6 @@ cc_library(paddle_pybind SHARED
recurrent_op
uniform_random_op
gaussian_random_op
fill_zeros_like_op
)
fill_zeros_like_op
identity_op
)
endif
(
WITH_PYTHON
)
paddle/framework/pybind.cc
浏览文件 @
c108d610
...
...
@@ -42,6 +42,7 @@ USE_OP(fill_zeros_like);
USE_OP_ITSELF
(
recurrent_op
);
USE_OP
(
gaussian_random
);
USE_OP
(
uniform_random
);
USE_OP
(
identity
);
namespace
paddle
{
namespace
framework
{
...
...
paddle/operators/CMakeLists.txt
浏览文件 @
c108d610
...
...
@@ -68,3 +68,4 @@ op_library(recurrent_op SRCS recurrent_op.cc rnn/recurrent_op_utils.cc
DEPS framework_proto tensor op_registry operator net_op
)
op_library
(
uniform_random_op
SRCS uniform_random_op.cc uniform_random_op.cu
)
op_library
(
identity_op SRCS identity_op.cc identity_op.cu DEPS net_op
)
paddle/operators/identity_op.cc
0 → 100644
浏览文件 @
c108d610
/* 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/identity_op.h"
#include "paddle/operators/net_op.h"
namespace
paddle
{
namespace
operators
{
class
IdentityOp
:
public
framework
::
OperatorWithKernel
{
public:
IdentityOp
(
const
std
::
string
&
type
,
const
VarNameMap
&
inputs
,
const
VarNameMap
&
outputs
,
const
framework
::
AttributeMap
&
attrs
)
:
OperatorWithKernel
(
type
,
inputs
,
outputs
,
attrs
)
{}
protected:
void
InferShape
(
const
framework
::
InferShapeContext
&
ctx
)
const
override
{
auto
*
in
=
ctx
.
Input
<
framework
::
Tensor
>
(
"X"
);
auto
*
out
=
ctx
.
Output
<
framework
::
Tensor
>
(
"Out"
);
out
->
Resize
(
in
->
dims
());
}
};
class
IdentityOpMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
public:
IdentityOpMaker
(
framework
::
OpProto
*
proto
,
framework
::
OpAttrChecker
*
op_checker
)
:
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"The input tensor of identity operator."
).
NotInGradient
();
AddOutput
(
"Out"
,
"The output tensor of identity operator."
).
NotInGradient
();
AddComment
(
R"DOC(Identity operator
The equation is: Out = X
)DOC"
);
}
};
// Identity Op's gradient is identity op, too.
// Grad(Out=identity_op(X)) => Grad(X) = identity_op(Grad(Out))
class
IdentityGradOp
:
public
NetOp
{
public:
IdentityGradOp
(
const
std
::
string
&
type
,
const
VarNameMap
&
inputs
,
const
VarNameMap
&
outputs
,
const
framework
::
AttributeMap
&
attrs
)
:
NetOp
(
type
,
inputs
,
outputs
,
attrs
)
{
AddOp
(
framework
::
OpRegistry
::
CreateOp
(
"identity"
,
{{
"X"
,
{
Input
(
framework
::
GradVarName
(
"Out"
))}}},
{{
"Out"
,
{
Output
(
framework
::
GradVarName
(
"X"
))}}},
{}));
CompleteAddOp
(
false
);
}
};
}
// namespace operators
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OP
(
identity
,
ops
::
IdentityOp
,
ops
::
IdentityOpMaker
,
identity_grad
,
ops
::
IdentityGradOp
);
REGISTER_OP_CPU_KERNEL
(
identity
,
ops
::
IdentityKernel
<
float
>
);
paddle/operators/identity_op.cu
0 → 100644
浏览文件 @
c108d610
/* 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/identity_op.h"
REGISTER_OP_GPU_KERNEL
(
identity
,
paddle
::
operators
::
IdentityKernel
<
float
>
);
paddle/operators/identity_op.h
0 → 100644
浏览文件 @
c108d610
/* 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/framework/op_registry.h"
#include "paddle/memory/memcpy.h"
namespace
paddle
{
namespace
operators
{
template
<
typename
T
>
class
IdentityKernel
:
public
framework
::
OpKernel
{
public:
virtual
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
{
auto
*
tensor
=
context
.
Output
<
framework
::
Tensor
>
(
"Out"
);
auto
*
in
=
context
.
Input
<
framework
::
Tensor
>
(
"X"
);
tensor
->
CopyFrom
<
T
>
(
*
in
,
in
->
place
());
}
};
}
// namespace operators
}
// namespace paddle
python/paddle/v2/framework/tests/CMakeLists.txt
浏览文件 @
c108d610
...
...
@@ -27,3 +27,4 @@ py_test(test_uniform_random_op SRCS test_uniform_random_op.py)
py_test
(
test_recurrent_op SRCS test_recurrent_op.py
)
py_test
(
test_sgd_op SRCS test_sgd_op.py
)
py_test
(
test_gradient_checker SRCS test_gradient_checker.py
)
py_test
(
test_identity_op SRCS test_identity_op.py
)
python/paddle/v2/framework/tests/test_identity_op.py
0 → 100644
浏览文件 @
c108d610
import
unittest
from
op_test_util
import
OpTestMeta
from
gradient_checker
import
GradientChecker
,
create_op
import
numpy
as
np
class
IdentityTest
(
unittest
.
TestCase
):
__metaclass__
=
OpTestMeta
def
setUp
(
self
):
self
.
type
=
"identity"
self
.
inputs
=
{
'X'
:
np
.
random
.
random
((
32
,
784
)).
astype
(
"float32"
)}
self
.
outputs
=
{
'Out'
:
self
.
inputs
[
'X'
]}
class
IdentityGradOpTest
(
GradientChecker
):
def
test_normal
(
self
):
op
=
create_op
(
"identity"
)
inputs
=
{
"X"
:
np
.
random
.
random
((
10
,
10
)).
astype
(
"float32"
)}
self
.
check_grad
(
op
,
inputs
,
set
(
"X"
),
"Out"
)
if
__name__
==
'__main__'
:
unittest
.
main
()
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