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体验新版 GitCode,发现更多精彩内容 >>
提交
2715e9de
编写于
2月 23, 2017
作者:
L
Luo Tao
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
add ParamAttr in V2
上级
3020d027
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
32 addition
and
3 deletion
+32
-3
python/paddle/v2/__init__.py
python/paddle/v2/__init__.py
+2
-1
python/paddle/v2/attr.py
python/paddle/v2/attr.py
+23
-0
python/paddle/v2/layer.py
python/paddle/v2/layer.py
+7
-2
未找到文件。
python/paddle/v2/__init__.py
浏览文件 @
2715e9de
...
...
@@ -18,11 +18,12 @@ import parameters
import
trainer
import
event
import
data_type
import
attr
import
py_paddle.swig_paddle
as
api
__all__
=
[
'optimizer'
,
'layer'
,
'activation'
,
'parameters'
,
'init'
,
'trainer'
,
'event'
,
'data_type'
'event'
,
'data_type'
,
'attr'
]
...
...
python/paddle/v2/attr.py
0 → 100644
浏览文件 @
2715e9de
# 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.
from
paddle.trainer_config_helpers.attrs
import
*
__all__
=
[
"Param"
,
"Extra"
,
]
Param
=
ParameterAttribute
Extra
=
ExtraLayerAttribute
python/paddle/v2/layer.py
浏览文件 @
2715e9de
...
...
@@ -74,6 +74,8 @@ from paddle.trainer_config_helpers.config_parser_utils import \
from
paddle.trainer_config_helpers.default_decorators
import
wrap_name_default
import
data_type
import
activation
import
attr
__all__
=
[
'parse_network'
,
'data'
,
'fc'
,
'max_id'
,
'classification_cost'
,
...
...
@@ -230,8 +232,11 @@ if __name__ == '__main__':
weight
=
data
(
name
=
'weight'
,
type
=
data_type
.
dense_vector
(
10
))
score
=
data
(
name
=
'score'
,
type
=
data_type
.
dense_vector
(
1
))
hidden
=
fc
(
input
=
pixel
,
size
=
100
,
act
=
conf_helps
.
SigmoidActivation
())
inference
=
fc
(
input
=
hidden
,
size
=
10
,
act
=
conf_helps
.
SoftmaxActivation
())
hidden
=
fc
(
input
=
pixel
,
size
=
100
,
act
=
activation
.
Sigmoid
(),
param_attr
=
attr
.
Param
(
name
=
'hidden'
))
inference
=
fc
(
input
=
hidden
,
size
=
10
,
act
=
activation
.
Softmax
())
maxid
=
max_id
(
input
=
inference
)
cost1
=
classification_cost
(
input
=
inference
,
label
=
label
)
cost2
=
classification_cost
(
input
=
inference
,
label
=
label
,
weight
=
weight
)
...
...
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