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体验新版 GitCode,发现更多精彩内容 >>
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6cc2ce01
编写于
10月 25, 2017
作者:
Y
Yang Yang(Tony)
提交者:
GitHub
10月 25, 2017
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差异文件
add fill constant batch size like op (#5057)
上级
b0a267c0
变更
4
隐藏空白更改
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并排
Showing
4 changed file
with
163 addition
and
0 deletion
+163
-0
paddle/operators/fill_constant_batch_size_like_op.cc
paddle/operators/fill_constant_batch_size_like_op.cc
+82
-0
paddle/operators/fill_constant_batch_size_like_op.cu
paddle/operators/fill_constant_batch_size_like_op.cu
+23
-0
paddle/operators/fill_constant_batch_size_like_op.h
paddle/operators/fill_constant_batch_size_like_op.h
+37
-0
python/paddle/v2/framework/tests/test_fill_constant_batch_size_like_op.py
.../framework/tests/test_fill_constant_batch_size_like_op.py
+21
-0
未找到文件。
paddle/operators/fill_constant_batch_size_like_op.cc
0 → 100644
浏览文件 @
6cc2ce01
/* 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_constant_batch_size_like_op.h"
namespace
paddle
{
namespace
operators
{
class
FillConstantBatchSizeLikeOp
:
public
framework
::
OperatorWithKernel
{
public:
using
framework
::
OperatorWithKernel
::
OperatorWithKernel
;
void
InferShape
(
framework
::
InferShapeContext
*
ctx
)
const
override
{
PADDLE_ENFORCE
(
ctx
->
HasInput
(
"Input"
),
"Input(Input) of FillConstantBatchSizeLikeOp should not be null."
);
PADDLE_ENFORCE
(
ctx
->
HasOutput
(
"Out"
),
"Output(Out) of FillConstantBatchSizeLikeOp should not be null."
);
auto
&
shape
=
ctx
->
Attrs
().
Get
<
std
::
vector
<
int
>>
(
"shape"
);
PADDLE_ENFORCE_GT
(
shape
.
size
(),
0
);
std
::
vector
<
int64_t
>
shape_int64
(
shape
.
size
(),
0
);
std
::
transform
(
shape
.
begin
(),
shape
.
end
(),
shape_int64
.
begin
(),
[](
int
a
)
{
return
static_cast
<
int64_t
>
(
a
);
});
auto
dims
=
framework
::
make_ddim
(
shape_int64
);
dims
[
0
]
=
ctx
->
GetInputDim
(
"Input"
)[
0
];
ctx
->
SetOutputDim
(
"Out"
,
dims
);
}
protected:
framework
::
DataType
IndicateDataType
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
return
static_cast
<
framework
::
DataType
>
(
ctx
.
Attr
<
int
>
(
"data_type"
));
}
};
class
FillConstantBatchSizeLikeOpMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
public:
FillConstantBatchSizeLikeOpMaker
(
framework
::
OpProto
*
proto
,
framework
::
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddAttr
<
int
>
(
"data_type"
,
"(int, default 5 (FP32)) "
"Output data type"
)
.
SetDefault
(
framework
::
DataType
::
FP32
);
AddAttr
<
std
::
vector
<
int
>>
(
"shape"
,
"(vector<int>) The shape of the output"
);
AddAttr
<
float
>
(
"value"
,
"(float, default 0) The value to be filled"
)
.
SetDefault
(
0.0
f
);
AddInput
(
"Input"
,
"(Tensor) Tensor "
"whose first dimension is used to specify the batch_size"
);
AddOutput
(
"Out"
,
"(Tensor) Tensor of specified shape will be filled "
"with the specified value"
);
AddComment
(
R"DOC(Fill up a variable with specified constant value.)DOC"
);
}
};
}
// namespace operators
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_WITHOUT_GRADIENT
(
fill_constant_batch_size_like
,
ops
::
FillConstantBatchSizeLikeOp
,
ops
::
FillConstantBatchSizeLikeOpMaker
);
REGISTER_OP_CPU_KERNEL
(
fill_constant_batch_size_like
,
ops
::
FillConstantBatchSizeLikeOpKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
FillConstantBatchSizeLikeOpKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
);
paddle/operators/fill_constant_batch_size_like_op.cu
0 → 100644
浏览文件 @
6cc2ce01
/* 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. */
#define EIGEN_USE_GPU
#include "paddle/framework/op_registry.h"
#include "paddle/operators/fill_constant_batch_size_like_op.h"
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_GPU_KERNEL
(
fill_constant_batch_size_like
,
ops
::
FillConstantBatchSizeLikeOpKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
,
ops
::
FillConstantBatchSizeLikeOpKernel
<
paddle
::
platform
::
GPUPlace
,
double
>
);
paddle/operators/fill_constant_batch_size_like_op.h
0 → 100644
浏览文件 @
6cc2ce01
/* 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/eigen.h"
#include "paddle/framework/op_registry.h"
namespace
paddle
{
namespace
operators
{
template
<
typename
Place
,
typename
T
>
class
FillConstantBatchSizeLikeOpKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
auto
*
out
=
ctx
.
Output
<
framework
::
Tensor
>
(
"Out"
);
out
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
auto
value
=
ctx
.
Attr
<
float
>
(
"value"
);
auto
out_eigen
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
out
);
auto
place
=
ctx
.
GetEigenDevice
<
Place
>
();
out_eigen
.
device
(
place
)
=
out_eigen
.
constant
(
static_cast
<
T
>
(
value
));
}
};
}
// namespace operators
}
// namespace paddle
python/paddle/v2/framework/tests/test_fill_constant_batch_size_like_op.py
0 → 100644
浏览文件 @
6cc2ce01
import
unittest
import
numpy
as
np
from
op_test
import
OpTest
class
TestFillConstantBatchSizeLikeOp
(
OpTest
):
def
setUp
(
self
):
self
.
op_type
=
"fill_constant_batch_size_like"
self
.
inputs
=
{
'Input'
:
np
.
random
.
random
((
219
,
232
)).
astype
(
"float32"
)}
self
.
attrs
=
{
'value'
:
3.5
,
'shape'
:
[
-
1
,
132
,
777
]}
out
=
np
.
random
.
random
((
219
,
132
,
777
)).
astype
(
"float32"
)
out
.
fill
(
3.5
)
self
.
outputs
=
{
'Out'
:
out
}
def
test_check_output
(
self
):
self
.
check_output
()
if
__name__
==
"__main__"
:
unittest
.
main
()
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