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PaddleDetection
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PaddleDetection
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a2dc9614
编写于
7月 26, 2017
作者:
F
fengjiayi
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差异文件
Add fill_zeros_like op
上级
00615ebc
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
98 addition
and
0 deletion
+98
-0
paddle/operators/fill_zeros_like_op.cc
paddle/operators/fill_zeros_like_op.cc
+58
-0
paddle/operators/fill_zeros_like_op.cu
paddle/operators/fill_zeros_like_op.cu
+6
-0
paddle/operators/fill_zeros_like_op.h
paddle/operators/fill_zeros_like_op.h
+34
-0
未找到文件。
paddle/operators/fill_zeros_like_op.cc
0 → 100644
浏览文件 @
a2dc9614
/* 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/fill_zeros_like_op.h"
#include "paddle/framework/op_registry.h"
#include "paddle/framework/tensor.h"
namespace
paddle
{
namespace
operators
{
class
FillZerosLike
:
public
framework
::
OperatorWithKernel
{
protected:
void
InferShape
(
const
std
::
vector
<
const
framework
::
Tensor
*>
&
inputs
,
const
std
::
vector
<
framework
::
Tensor
*>
&
outputs
)
const
override
{
PADDLE_ENFORCE
(
inputs
.
size
()
==
1
,
"Input size of FillZerosLike must be one."
);
PADDLE_ENFORCE
(
outputs
.
size
()
==
1
,
"Output size of AddOp must be one."
);
PADDLE_ENFORCE
(
inputs
[
0
]
!=
nullptr
&&
outputs
[
0
]
!=
nullptr
,
"Outputs of FillZerosLike must all be set."
);
outputs
[
0
]
->
Resize
(
inputs
[
0
]
->
dims
());
}
};
class
FillZerosLikeOpMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
public:
FillZerosLikeOpMaker
(
framework
::
OpProto
*
proto
,
framework
::
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"Src"
,
"The input of fill-zeros-like op."
);
AddOutput
(
"Dst"
,
"The varibale will be filled up with zeros."
);
AddComment
(
R"DOC(
Fill up a vriable with zeros.
The output will have the same size with input.
)DOC"
)
}
};
}
// namespace operators
}
// namespace paddle
REGISTER_OP
(
fill_zeros_like
,
paddle
::
operators
::
FillZerosLikeOp
,
paddle
::
operators
::
FillZerosLikeOpMaker
);
EGISTER_OP_CPU_KERNEL
(
fill_zeros_like
,
paddle
::
operators
::
FillZerosLikeKernal
<
paddle
::
platform
::
CPUPlace
,
float
>
);
\ No newline at end of file
paddle/operators/fill_zeros_like_op.cu
0 → 100644
浏览文件 @
a2dc9614
#include "paddle/framework/op_registry.h"
#include "paddle/operators/fill_zeros_like_op.h"
REGISTER_OP_GPU_KERNEL
(
fill_zeros_like
,
paddle
::
operators
::
FillZerosLikeKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
);
\ No newline at end of file
paddle/operators/fill_zeros_like_op.h
0 → 100644
浏览文件 @
a2dc9614
/* 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 "glog/logging.h"
#include "paddle/framework/eigen.h"
#include "paddle/framework/operator.h"
namespace
paddle
{
namespace
operators
{
template
<
typename
Place
,
typename
T
>
class
FillZerosLikeKernel
:
public
framework
::
OpKernel
{
public:
void
Compute
(
const
framework
::
KernelContext
&
context
)
const
override
{
auto
*
output
=
context
.
Output
(
0
)
->
GetMutable
<
framework
::
Tensor
>
();
output
->
mutable_data
<
T
>
(
context
.
GetPlace
());
framework
::
EigenVector
<
T
>::
Flatten
(
*
output
).
setZero
();
}
};
}
// namespace operators
}
// namespace paddle
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