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PaddleDetection
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9fbd9426
编写于
12月 19, 2017
作者:
Q
qijun
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差异文件
init
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7901f06a
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4
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Showing
4 changed file
with
95 addition
and
1 deletion
+95
-1
paddle/operators/get_places_op.cc
paddle/operators/get_places_op.cc
+69
-0
python/paddle/v2/fluid/framework.py
python/paddle/v2/fluid/framework.py
+1
-1
python/paddle/v2/fluid/layers/__init__.py
python/paddle/v2/fluid/layers/__init__.py
+3
-0
python/paddle/v2/fluid/layers/utils.py
python/paddle/v2/fluid/layers/utils.py
+22
-0
未找到文件。
paddle/operators/get_places_op.cc
0 → 100644
浏览文件 @
9fbd9426
/* 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/framework/op_registry.h"
#include "paddle/platform/place.h"
namespace
paddle
{
namespace
operators
{
class
GetPlacesOp
:
public
framework
::
OperatorBase
{
public:
GetPlacesOp
(
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
use_gpu
=
Attr
<
bool
>
(
"use_gpu"
);
auto
trainer_count
=
Attr
<
int
>
(
"trainer_count"
);
auto
out_var_name
=
Output
(
"Out"
);
auto
*
out_var
=
scope
.
FindVar
(
out_var_name
);
PADDLE_ENFORCE
(
out_var
!=
nullptr
,
"Output variable %s cannot be found"
,
out_var_name
);
auto
&
places
=
*
(
out_var
->
GetMutable
<
std
::
vector
<
platform
::
Place
>>
());
places
.
reserve
(
trainer_count
);
if
(
use_gpu
)
{
for
(
int
i
=
0
;
i
<
trainer_count
;
i
++
)
{
places
.
emplace_back
(
platform
::
GPUPlace
(
i
));
}
}
else
{
for
(
int
i
=
0
;
i
<
trainer_count
;
i
++
)
{
places
.
emplace_back
(
platform
::
CPUPlace
());
}
}
}
};
class
GetPlacesOpProtoMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
public:
GetPlacesOpProtoMaker
(
framework
::
OpProto
*
proto
,
framework
::
OpAttrChecker
*
op_checker
)
:
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddOutput
(
"Out"
,
"vector of Place"
);
AddAttr
<
int
>
(
"trainer_count"
,
"(int)trainer count"
).
SetDefault
(
1
);
AddAttr
<
bool
>
(
"use_gpu"
,
"(bool)use gpu"
).
SetDefault
(
false
);
AddComment
(
R"DOC(
GetPlaces Operator.
)DOC"
);
}
};
}
// namespace operators
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OPERATOR
(
get_places
,
ops
::
GetPlacesOp
,
ops
::
GetPlacesOpProtoMaker
);
python/paddle/v2/fluid/framework.py
浏览文件 @
9fbd9426
...
...
@@ -424,7 +424,7 @@ class Operator(object):
self
.
desc
.
check_attrs
()
no_kernel_op_set
=
{
'feed'
,
'fetch'
,
'save'
,
'load'
,
'recurrent'
,
'rnn_memory_helper_grad'
,
'conditional_block'
,
'while'
'rnn_memory_helper_grad'
,
'conditional_block'
,
'while'
,
'get_places'
}
if
type
not
in
no_kernel_op_set
:
self
.
desc
.
infer_var_type
(
self
.
block
.
desc
)
...
...
python/paddle/v2/fluid/layers/__init__.py
浏览文件 @
9fbd9426
...
...
@@ -8,6 +8,8 @@ import tensor
from
tensor
import
*
import
control_flow
from
control_flow
import
*
import
utils
from
utils
import
*
__all__
=
[]
__all__
+=
nn
.
__all__
...
...
@@ -15,3 +17,4 @@ __all__ += io.__all__
__all__
+=
tensor
.
__all__
__all__
+=
control_flow
.
__all__
__all__
+=
ops
.
__all__
__all__
+=
utils
.
__all__
python/paddle/v2/fluid/layers/utils.py
0 → 100644
浏览文件 @
9fbd9426
"""
All util layers.
"""
from
..layer_helper
import
LayerHelper
from
..framework
import
Variable
__all__
=
[
'get_places'
]
def
get_places
(
use_gpu
,
trainer_count
):
helper
=
LayerHelper
(
'get_places'
,
**
locals
())
out_places
=
helper
.
create_tmp_variable
(
dtype
=
helper
.
input_dtype
())
helper
.
append_op
(
type
=
'get_places'
,
outputs
=
{
"Out"
:
[
out_places
]},
attrs
=
{
"use_gpu"
:
use_gpu
,
'trainer_count'
:
trainer_count
,
})
return
out_places
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