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体验新版 GitCode,发现更多精彩内容 >>
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408a9bb2
编写于
1月 29, 2019
作者:
X
Xin Pan
浏览文件
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差异文件
polish
test=develop
上级
98913837
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
101 addition
and
4 deletion
+101
-4
python/paddle/fluid/imperative/layers.py
python/paddle/fluid/imperative/layers.py
+9
-4
python/paddle/fluid/tests/unittests/test_base_layer.py
python/paddle/fluid/tests/unittests/test_base_layer.py
+92
-0
未找到文件。
python/paddle/fluid/imperative/layers.py
浏览文件 @
408a9bb2
...
...
@@ -34,16 +34,21 @@ class Layer(core.Layer):
self
.
_parameters
=
collections
.
OrderedDict
()
self
.
_sub_layers
=
collections
.
OrderedDict
()
def
parameters
(
self
):
"""Returns a
n OrderedDict with p
arameters from current and sub-layers.
def
parameters
(
self
,
include_sublayers
=
True
):
"""Returns a
list of P
arameters from current and sub-layers.
"""
return
self
.
_parameters
ret
=
[
p
for
p
in
self
.
_parameters
.
values
()]
if
include_sublayers
:
for
l
in
self
.
_sub_layers
.
values
():
for
p
in
l
.
parameters
(
include_sublayers
):
ret
.
append
(
p
)
return
ret
def
clear_gradients
(
self
):
for
p
in
self
.
parameters
():
p
.
_clear_gradient
()
def
_build_once
(
self
,
input
s
):
def
_build_once
(
self
,
*
arg
s
):
pass
def
__call__
(
self
,
*
inputs
):
...
...
python/paddle/fluid/tests/unittests/test_base_layer.py
0 → 100644
浏览文件 @
408a9bb2
# Copyright (c) 2018 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.
import
contextlib
import
unittest
import
numpy
as
np
import
six
import
sys
import
paddle
import
paddle.fluid
as
fluid
from
paddle.fluid.layer_helper
import
LayerHelper
class
L1
(
fluid
.
imperative
.
Layer
):
def
__init__
(
self
):
super
(
L1
,
self
).
__init__
()
self
.
_helper
=
LayerHelper
(
'MyLayer'
,
param_attr
=
fluid
.
ParamAttr
(
initializer
=
fluid
.
initializer
.
Constant
(
value
=
0.1
)))
self
.
w1
=
self
.
_helper
.
create_parameter
(
attr
=
self
.
_helper
.
param_attr
,
shape
=
[
2
,
2
],
dtype
=
'float32'
,
is_bias
=
False
)
self
.
w2
=
self
.
_helper
.
create_parameter
(
attr
=
self
.
_helper
.
param_attr
,
shape
=
[
2
,
2
],
dtype
=
'float32'
,
is_bias
=
False
)
def
forward
(
self
):
return
self
.
w1
+
self
.
w2
class
L2
(
fluid
.
imperative
.
Layer
):
def
__init__
(
self
):
super
(
L2
,
self
).
__init__
()
self
.
layer1
=
L1
()
self
.
layer2
=
L1
()
def
forward
(
self
):
return
self
.
layer1
()
+
self
.
layer2
()
class
L3
(
fluid
.
imperative
.
Layer
):
def
__init__
(
self
):
super
(
L3
,
self
).
__init__
()
self
.
layer1
=
L2
()
self
.
layer2
=
L2
()
def
forward
(
self
):
return
self
.
layer1
()
+
self
.
layer2
()
class
TestBaseLayer
(
unittest
.
TestCase
):
def
test_one_level
(
self
):
with
fluid
.
imperative
.
guard
():
l
=
L1
()
ret
=
l
()
self
.
assertEqual
(
l
.
w1
.
name
,
"MyLayer_0.w_0"
)
self
.
assertEqual
(
l
.
w2
.
name
,
"MyLayer_0.w_1"
)
self
.
assertTrue
(
np
.
allclose
(
ret
.
_numpy
(),
0.2
*
np
.
ones
([
2
,
2
])))
sys
.
stderr
.
write
(
'%s %s %s %s
\n
'
%
(
ret
.
_numpy
(),
l
.
w1
.
name
,
l
.
w2
.
name
,
l
.
_sub_layers
))
def
test_three_level
(
self
):
with
fluid
.
imperative
.
guard
():
l
=
L3
()
ret
=
l
()
sys
.
stderr
.
write
(
'%s
\n
'
%
ret
.
_numpy
())
for
p
in
l
.
parameters
():
sys
.
stderr
.
write
(
'%s
\n
'
%
p
.
name
)
if
__name__
==
'__main__'
:
unittest
.
main
()
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