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体验新版 GitCode,发现更多精彩内容 >>
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9fc59360
编写于
10月 16, 2017
作者:
Q
QI JUN
提交者:
GitHub
10月 16, 2017
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差异文件
Merge pull request #4837 from QiJune/pybind_feed_fetch_method
export feed/fetch variable method to Python
上级
75d0c790
5fe3f8f6
变更
3
隐藏空白更改
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并排
Showing
3 changed file
with
85 addition
and
0 deletion
+85
-0
paddle/framework/feed_fetch_method.h
paddle/framework/feed_fetch_method.h
+50
-0
paddle/pybind/pybind.cc
paddle/pybind/pybind.cc
+5
-0
python/paddle/v2/framework/tests/test_feed_fetch_method.py
python/paddle/v2/framework/tests/test_feed_fetch_method.py
+30
-0
未找到文件。
paddle/framework/feed_fetch_method.h
0 → 100644
浏览文件 @
9fc59360
/* 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/scope.h"
#include "paddle/framework/variable.h"
namespace
paddle
{
namespace
framework
{
template
<
typename
T
>
void
SetFeedVariable
(
const
LoDTensor
&
input
,
const
std
::
string
&
var_name
,
size_t
index
)
{
// If var_name Variable is not found in GlobalScope, a new variable will
// be created.
Variable
*
g_feed_value
=
GetGlobalScope
().
Var
(
var_name
);
auto
&
feed_inputs
=
*
(
g_feed_value
->
GetMutable
<
std
::
vector
<
paddle
::
framework
::
LoDTensor
>>
());
if
(
index
>=
feed_inputs
.
size
())
{
feed_inputs
.
resize
(
index
+
1
);
}
// shared data with input tensor
feed_inputs
[
index
].
ShareDataWith
<
T
>
(
input
);
// set lod
feed_inputs
[
index
].
set_lod
(
input
.
lod
());
}
LoDTensor
&
GetFetchVariable
(
const
std
::
string
&
var_name
,
size_t
index
)
{
// Since we want to fetch LodTensor from a variable, the variable must
// be created alreadly.
Variable
*
g_fetch_value
=
GetGlobalScope
().
FindVar
(
var_name
);
auto
&
fetch_outputs
=
*
(
g_fetch_value
->
GetMutable
<
std
::
vector
<
paddle
::
framework
::
LoDTensor
>>
());
PADDLE_ENFORCE_LT
(
index
,
fetch_outputs
.
size
());
return
fetch_outputs
[
index
];
}
}
// namespace framework
}
// namespace paddle
paddle/pybind/pybind.cc
浏览文件 @
9fc59360
...
...
@@ -16,6 +16,7 @@ limitations under the License. */
#include "paddle/framework/backward.h"
#include "paddle/framework/executor.h"
#include "paddle/framework/feed_fetch_method.h"
#include "paddle/framework/lod_tensor.h"
#include "paddle/framework/tensor_array.h"
#include "paddle/operators/cond_op.h"
...
...
@@ -403,6 +404,10 @@ All parameter, weight, gradient are variables in Paddle.
m
.
def
(
"unique_integer"
,
UniqueIntegerGenerator
);
m
.
def
(
"is_compile_gpu"
,
IsCompileGPU
);
m
.
def
(
"set_feed_variable_float"
,
framework
::
SetFeedVariable
<
float
>
);
m
.
def
(
"set_feed_variable_double"
,
framework
::
SetFeedVariable
<
double
>
);
m
.
def
(
"set_feed_variable_int"
,
framework
::
SetFeedVariable
<
int
>
);
m
.
def
(
"get_fetch_variable"
,
framework
::
GetFetchVariable
);
BindProgramDesc
(
m
);
BindBlockDesc
(
m
);
...
...
python/paddle/v2/framework/tests/test_feed_fetch_method.py
0 → 100644
浏览文件 @
9fc59360
import
paddle.v2.framework.core
as
core
import
unittest
import
numpy
as
np
class
TestFeedFetch
(
unittest
.
TestCase
):
def
test_feed_fetch
(
self
):
place
=
core
.
CPUPlace
()
input_array
=
np
.
ones
((
4
,
4
,
6
)).
astype
(
"float32"
)
input_array
[
0
,
0
,
0
]
=
3
input_array
[
3
,
3
,
5
]
=
10
input_tensor
=
core
.
LoDTensor
([[
0
,
2
,
4
]])
input_tensor
.
set
(
input_array
,
place
)
core
.
set_feed_variable_float
(
input_tensor
,
"feed"
,
0
)
output_tensor
=
core
.
get_fetch_variable
(
"feed"
,
0
)
output_lod
=
output_tensor
.
lod
()
self
.
assertEqual
(
0
,
output_lod
[
0
][
0
])
self
.
assertEqual
(
2
,
output_lod
[
0
][
1
])
self
.
assertEqual
(
4
,
output_lod
[
0
][
2
])
output_array
=
np
.
array
(
output_tensor
)
self
.
assertEqual
(
3
,
output_array
[
0
,
0
,
0
])
self
.
assertEqual
(
10
,
output_array
[
3
,
3
,
5
])
if
__name__
==
"__main__"
:
unittest
.
main
()
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