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fcb2ac60
编写于
9月 04, 2020
作者:
H
huangjun12
提交者:
GitHub
9月 04, 2020
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差异文件
fix alpha dropout bug when p=1, test=develop (#26977)
上级
9e4fe923
变更
2
显示空白变更内容
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并排
Showing
2 changed file
with
12 addition
and
1 deletion
+12
-1
python/paddle/fluid/tests/unittests/test_dropout_op.py
python/paddle/fluid/tests/unittests/test_dropout_op.py
+10
-1
python/paddle/nn/functional/common.py
python/paddle/nn/functional/common.py
+2
-0
未找到文件。
python/paddle/fluid/tests/unittests/test_dropout_op.py
浏览文件 @
fcb2ac60
...
...
@@ -43,7 +43,7 @@ class TestDropoutOp(OpTest):
class
TestDropoutOpInput1d
(
OpTest
):
def
setUp
(
self
):
self
.
op_type
=
"dropout"
self
.
inputs
=
{
'X'
:
np
.
random
.
random
((
2000
)).
astype
(
"float32"
)}
self
.
inputs
=
{
'X'
:
np
.
random
.
random
((
2000
,
)).
astype
(
"float32"
)}
self
.
attrs
=
{
'dropout_prob'
:
0.0
,
'fix_seed'
:
True
,
'is_test'
:
False
}
self
.
outputs
=
{
'Out'
:
self
.
inputs
[
'X'
],
...
...
@@ -672,9 +672,11 @@ class TestAlphaDropoutFAPI(unittest.TestCase):
res1
=
paddle
.
nn
.
functional
.
alpha_dropout
(
x
=
input
,
p
=
0.
)
res2
=
paddle
.
nn
.
functional
.
alpha_dropout
(
x
=
input
,
p
=
0.
,
training
=
False
)
res3
=
paddle
.
nn
.
functional
.
alpha_dropout
(
x
=
input
,
p
=
1.
)
in_np
=
np
.
random
.
random
([
40
,
40
]).
astype
(
"float32"
)
res_np
=
in_np
res_np3
=
np
.
zeros_like
(
in_np
)
exe
=
fluid
.
Executor
(
place
)
res_list
=
[
res1
,
res2
]
...
...
@@ -683,6 +685,10 @@ class TestAlphaDropoutFAPI(unittest.TestCase):
feed
=
{
"input"
:
in_np
},
fetch_list
=
[
res
])
self
.
assertTrue
(
np
.
allclose
(
fetches
[
0
],
res_np
))
fetches
=
exe
.
run
(
fluid
.
default_main_program
(),
feed
=
{
"input"
:
in_np
},
fetch_list
=
[
res3
])
self
.
assertTrue
(
np
.
allclose
(
fetches
[
0
],
res_np3
))
def
test_static
(
self
):
for
place
in
self
.
places
:
...
...
@@ -693,15 +699,18 @@ class TestAlphaDropoutFAPI(unittest.TestCase):
with
fluid
.
dygraph
.
guard
(
place
):
in_np
=
np
.
random
.
random
([
40
,
40
]).
astype
(
"float32"
)
res_np
=
in_np
res_np3
=
np
.
zeros_like
(
in_np
)
input
=
fluid
.
dygraph
.
to_variable
(
in_np
)
res1
=
paddle
.
nn
.
functional
.
alpha_dropout
(
x
=
input
,
p
=
0.
)
res2
=
paddle
.
nn
.
functional
.
alpha_dropout
(
x
=
input
,
p
=
0.
,
training
=
False
)
res3
=
paddle
.
nn
.
functional
.
alpha_dropout
(
x
=
input
,
p
=
1.
)
res_list
=
[
res1
,
res2
]
for
res
in
res_list
:
self
.
assertTrue
(
np
.
allclose
(
res
.
numpy
(),
res_np
))
self
.
assertTrue
(
np
.
allclose
(
res3
.
numpy
(),
res_np3
))
class
TestAlphaDropoutFAPIError
(
unittest
.
TestCase
):
...
...
python/paddle/nn/functional/common.py
浏览文件 @
fcb2ac60
...
...
@@ -1091,6 +1091,8 @@ def alpha_dropout(x, p=0.5, training=True, name=None):
'alpha_dropout'
)
if
training
:
if
p
==
1
:
return
layers
.
scale
(
x
,
scale
=
0.
)
#get transformation params
alpha
=
1.6732632423543772848170429916717
scale
=
1.0507009873554804934193349852946
...
...
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