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d918ccde
编写于
12月 12, 2017
作者:
Y
Yu Yang
提交者:
GitHub
12月 12, 2017
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差异文件
Add fill_op (#6477)
* Add fill_op * Fix bug
上级
252f1e4a
变更
2
隐藏空白更改
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并排
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2 changed file
with
135 addition
and
0 deletion
+135
-0
paddle/operators/fill_op.cc
paddle/operators/fill_op.cc
+111
-0
python/paddle/v2/fluid/tests/test_fill_op.py
python/paddle/v2/fluid/tests/test_fill_op.py
+24
-0
未找到文件。
paddle/operators/fill_op.cc
0 → 100644
浏览文件 @
d918ccde
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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/framework/data_type.h"
#include "paddle/framework/op_registry.h"
#include "paddle/operators/detail/safe_ref.h"
namespace
paddle
{
namespace
operators
{
struct
FillOpVisitor
{
FillOpVisitor
(
framework
::
LoDTensor
*
tensor
,
const
std
::
vector
<
float
>
&
value
)
:
tensor_
(
tensor
),
value_
(
value
)
{}
template
<
typename
T
>
void
operator
()()
const
{
platform
::
CPUPlace
cpu
;
auto
*
data
=
tensor_
->
mutable_data
<
T
>
(
cpu
);
std
::
transform
(
value_
.
data
(),
value_
.
data
()
+
tensor_
->
numel
(),
data
,
[](
float
dat
)
{
return
static_cast
<
T
>
(
dat
);
});
}
framework
::
LoDTensor
*
tensor_
;
const
std
::
vector
<
float
>
&
value_
;
};
class
FillOp
:
public
framework
::
OperatorBase
{
public:
FillOp
(
const
std
::
string
&
type
,
const
framework
::
VariableNameMap
&
inputs
,
const
framework
::
VariableNameMap
&
outputs
,
const
framework
::
AttributeMap
&
attrs
)
:
OperatorBase
(
type
,
inputs
,
outputs
,
attrs
)
{}
void
Run
(
const
framework
::
Scope
&
scope
,
const
platform
::
DeviceContext
&
dev_ctx
)
const
override
{
auto
&
out
=
detail
::
Ref
(
detail
::
Ref
(
scope
.
FindVar
(
Output
(
"Out"
)),
"Cannot find variable %s"
,
Output
(
"Out"
))
.
GetMutable
<
framework
::
LoDTensor
>
());
out
.
Resize
(
framework
::
make_ddim
(
Attr
<
std
::
vector
<
int
>>
(
"shape"
)));
auto
dtype
=
static_cast
<
framework
::
DataType
>
(
Attr
<
int
>
(
"dtype"
));
platform
::
CPUPlace
cpu
;
auto
force_cpu
=
Attr
<
bool
>
(
"force_cpu"
);
out
.
mutable_data
(
force_cpu
?
cpu
:
dev_ctx
.
GetPlace
(),
framework
::
ToTypeIndex
(
dtype
));
framework
::
LoDTensor
tensor
;
if
(
force_cpu
||
platform
::
is_cpu_place
(
dev_ctx
.
GetPlace
()))
{
tensor
.
ShareDataWith
(
out
);
}
else
{
// Always make tensor in CPU memory.
tensor
.
Resize
(
out
.
dims
());
tensor
.
mutable_data
(
cpu
,
framework
::
ToTypeIndex
(
dtype
));
}
framework
::
VisitDataType
(
dtype
,
FillOpVisitor
(
&
tensor
,
Attr
<
std
::
vector
<
float
>>
(
"value"
)));
if
(
!
force_cpu
&&
platform
::
is_gpu_place
(
dev_ctx
.
GetPlace
()))
{
// Copy tensor to out
framework
::
CopyFrom
(
tensor
,
dev_ctx
.
GetPlace
(),
dev_ctx
,
&
out
);
}
}
};
class
FillOpMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
public:
FillOpMaker
(
framework
::
OpProto
*
proto
,
framework
::
OpAttrChecker
*
op_checker
)
:
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddComment
(
R"DOC(Fill operator
Fill an tensor with `value` and `shape`. The type of the tensor is specify by
`dtype`.
)DOC"
);
AddOutput
(
"Out"
,
"(LoDTensor) The output tensor."
);
AddAttr
<
std
::
vector
<
float
>>
(
"value"
,
"The float values of tensor, which are flatten in row major"
);
AddAttr
<
std
::
vector
<
int
>>
(
"shape"
,
"The shape of output tensor"
);
AddAttr
<
int
>
(
"dtype"
,
"The data type of output tensor, Default is float"
)
.
SetDefault
(
framework
::
DataType
::
FP32
);
AddAttr
<
bool
>
(
"force_cpu"
,
"Whether the output tensor must be at CPU memory or not. "
"Default is false."
)
.
SetDefault
(
false
);
}
};
class
FillOpInferShape
:
public
framework
::
InferShapeBase
{
public:
void
operator
()(
framework
::
InferShapeContext
*
context
)
const
override
{
context
->
SetOutputDim
(
"Out"
,
framework
::
make_ddim
(
context
->
Attrs
().
Get
<
std
::
vector
<
int
>>
(
"shape"
)));
}
};
}
// namespace operators
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OPERATOR
(
fill
,
ops
::
FillOp
,
ops
::
FillOpInferShape
,
ops
::
FillOpMaker
);
python/paddle/v2/fluid/tests/test_fill_op.py
0 → 100644
浏览文件 @
d918ccde
import
unittest
import
numpy
as
np
from
op_test
import
OpTest
import
paddle.v2.fluid.core
as
core
class
TestFillOp
(
OpTest
):
def
setUp
(
self
):
self
.
op_type
=
"fill"
val
=
np
.
random
.
random
(
size
=
[
100
,
200
])
self
.
inputs
=
{}
self
.
attrs
=
{
'value'
:
val
.
flatten
().
tolist
(),
'shape'
:
[
100
,
200
],
'dtype'
:
int
(
core
.
DataType
.
FP64
)
}
self
.
outputs
=
{
'Out'
:
val
.
astype
(
'float64'
)}
def
test_check_output
(
self
):
self
.
check_output
()
if
__name__
==
'__main__'
:
unittest
.
main
()
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