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体验新版 GitCode,发现更多精彩内容 >>
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3ce727a8
编写于
8月 31, 2020
作者:
H
huangjun12
提交者:
GitHub
8月 31, 2020
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差异文件
rename Dropout2D/3D to Dropout2d/3d, test=develop (#26796)
rename Dropout2D/3D to Dropout2d/3d
上级
11fb8a1c
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
16 addition
and
16 deletion
+16
-16
python/paddle/fluid/tests/unittests/test_dropout_op.py
python/paddle/fluid/tests/unittests/test_dropout_op.py
+4
-4
python/paddle/nn/__init__.py
python/paddle/nn/__init__.py
+2
-2
python/paddle/nn/layer/__init__.py
python/paddle/nn/layer/__init__.py
+2
-2
python/paddle/nn/layer/common.py
python/paddle/nn/layer/common.py
+8
-8
未找到文件。
python/paddle/fluid/tests/unittests/test_dropout_op.py
浏览文件 @
3ce727a8
...
...
@@ -530,7 +530,7 @@ class TestDropout2dFAPIError(unittest.TestCase):
self
.
assertRaises
(
ValueError
,
test_dataformat
)
class
TestDropout2
D
CAPI
(
unittest
.
TestCase
):
class
TestDropout2
d
CAPI
(
unittest
.
TestCase
):
def
setUp
(
self
):
np
.
random
.
seed
(
123
)
self
.
places
=
[
fluid
.
CPUPlace
()]
...
...
@@ -543,7 +543,7 @@ class TestDropout2DCAPI(unittest.TestCase):
input_np
=
np
.
random
.
random
([
2
,
3
,
4
,
5
]).
astype
(
"float32"
)
result_np
=
input_np
input
=
fluid
.
dygraph
.
to_variable
(
input_np
)
m
=
paddle
.
nn
.
Dropout2
D
(
p
=
0.
)
m
=
paddle
.
nn
.
Dropout2
d
(
p
=
0.
)
m
.
eval
()
result
=
m
(
input
)
self
.
assertTrue
(
np
.
allclose
(
result
.
numpy
(),
result_np
))
...
...
@@ -616,7 +616,7 @@ class TestDropout3dFAPIError(unittest.TestCase):
self
.
assertRaises
(
ValueError
,
test_dataformat
)
class
TestDropout3
D
CAPI
(
unittest
.
TestCase
):
class
TestDropout3
d
CAPI
(
unittest
.
TestCase
):
def
setUp
(
self
):
np
.
random
.
seed
(
123
)
self
.
places
=
[
fluid
.
CPUPlace
()]
...
...
@@ -629,7 +629,7 @@ class TestDropout3DCAPI(unittest.TestCase):
input_np
=
np
.
random
.
random
([
2
,
3
,
4
,
5
,
6
]).
astype
(
"float32"
)
result_np
=
input_np
input
=
fluid
.
dygraph
.
to_variable
(
input_np
)
m
=
paddle
.
nn
.
Dropout3
D
(
p
=
0.
)
m
=
paddle
.
nn
.
Dropout3
d
(
p
=
0.
)
m
.
eval
()
result
=
m
(
input
)
self
.
assertTrue
(
np
.
allclose
(
result
.
numpy
(),
result_np
))
...
...
python/paddle/nn/__init__.py
浏览文件 @
3ce727a8
...
...
@@ -94,8 +94,8 @@ from .layer.common import UpsamplingNearest2d #DEFINE_ALIAS
from
.layer.common
import
UpsamplingBilinear2d
#DEFINE_ALIAS
from
.layer.common
import
Bilinear
#DEFINE_ALIAS
from
.layer.common
import
Dropout
#DEFINE_ALIAS
from
.layer.common
import
Dropout2
D
#DEFINE_ALIAS
from
.layer.common
import
Dropout3
D
#DEFINE_ALIAS
from
.layer.common
import
Dropout2
d
#DEFINE_ALIAS
from
.layer.common
import
Dropout3
d
#DEFINE_ALIAS
from
.layer.common
import
AlphaDropout
#DEFINE_ALIAS
from
.layer.pooling
import
AvgPool1d
#DEFINE_ALIAS
...
...
python/paddle/nn/layer/__init__.py
浏览文件 @
3ce727a8
...
...
@@ -63,8 +63,8 @@ from .common import UpSample #DEFINE_ALIAS
from
.common
import
UpsamplingNearest2d
#DEFINE_ALIAS
from
.common
import
UpsamplingBilinear2d
#DEFINE_ALIAS
from
.common
import
Dropout
#DEFINE_ALIAS
from
.common
import
Dropout2
D
#DEFINE_ALIAS
from
.common
import
Dropout3
D
#DEFINE_ALIAS
from
.common
import
Dropout2
d
#DEFINE_ALIAS
from
.common
import
Dropout3
d
#DEFINE_ALIAS
from
.common
import
AlphaDropout
#DEFINE_ALIAS
from
.pooling
import
AvgPool1d
#DEFINE_ALIAS
from
.pooling
import
AvgPool2d
#DEFINE_ALIAS
...
...
python/paddle/nn/layer/common.py
浏览文件 @
3ce727a8
...
...
@@ -41,8 +41,8 @@ __all__ = [
'ReplicationPad3d'
,
'CosineSimilarity'
,
'Dropout'
,
'Dropout2
D
'
,
'Dropout3
D
'
,
'Dropout2
d
'
,
'Dropout3
d
'
,
'Bilinear'
,
'AlphaDropout'
,
]
...
...
@@ -766,7 +766,7 @@ class Dropout(layers.Layer):
return
out
class
Dropout2
D
(
layers
.
Layer
):
class
Dropout2
d
(
layers
.
Layer
):
"""
Randomly zero out entire channels (in the batched input 4d tensor with the shape `NCHW` ,
a channel is a 2D feature map with the shape `HW`). Each channel will be zeroed out independently
...
...
@@ -798,7 +798,7 @@ class Dropout2D(layers.Layer):
paddle.disable_static()
x = np.random.random(size=(2, 3, 4, 5)).astype('float32')
x = paddle.to_tensor(x)
m = paddle.nn.Dropout2
D
(p=0.5)
m = paddle.nn.Dropout2
d
(p=0.5)
y_train = m(x)
m.eval() # switch the model to test phase
y_test = m(x)
...
...
@@ -808,7 +808,7 @@ class Dropout2D(layers.Layer):
"""
def
__init__
(
self
,
p
=
0.5
,
data_format
=
'NCHW'
,
name
=
None
):
super
(
Dropout2
D
,
self
).
__init__
()
super
(
Dropout2
d
,
self
).
__init__
()
self
.
p
=
p
self
.
data_format
=
data_format
...
...
@@ -824,7 +824,7 @@ class Dropout2D(layers.Layer):
return
out
class
Dropout3
D
(
layers
.
Layer
):
class
Dropout3
d
(
layers
.
Layer
):
"""
Randomly zero out entire channels (in the batched input 5d tensor with the shape `NCDHW` ,
a channel is a 3D feature map with the shape `DHW` ). Each channel will be zeroed out independently
...
...
@@ -856,7 +856,7 @@ class Dropout3D(layers.Layer):
paddle.disable_static()
x = np.random.random(size=(2, 3, 4, 5, 6)).astype('float32')
x = paddle.to_tensor(x)
m = paddle.nn.Dropout3
D
(p=0.5)
m = paddle.nn.Dropout3
d
(p=0.5)
y_train = m(x)
m.eval() # switch the model to test phase
y_test = m(x)
...
...
@@ -866,7 +866,7 @@ class Dropout3D(layers.Layer):
"""
def
__init__
(
self
,
p
=
0.5
,
data_format
=
'NCDHW'
,
name
=
None
):
super
(
Dropout3
D
,
self
).
__init__
()
super
(
Dropout3
d
,
self
).
__init__
()
self
.
p
=
p
self
.
data_format
=
data_format
...
...
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