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体验新版 GitCode,发现更多精彩内容 >>
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0fdd3656
编写于
12月 11, 2020
作者:
L
Leo Chen
提交者:
GitHub
12月 11, 2020
浏览文件
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差异文件
Add fast path for dropout when p == 0 (#29553)
* add fast path for p == 0 in dropout * add ut
上级
917a1149
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
19 addition
and
2 deletion
+19
-2
python/paddle/fluid/dygraph/nn.py
python/paddle/fluid/dygraph/nn.py
+3
-0
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+3
-0
python/paddle/fluid/tests/unittests/test_dropout_op.py
python/paddle/fluid/tests/unittests/test_dropout_op.py
+9
-2
python/paddle/nn/functional/common.py
python/paddle/nn/functional/common.py
+4
-0
未找到文件。
python/paddle/fluid/dygraph/nn.py
浏览文件 @
0fdd3656
...
...
@@ -1476,6 +1476,9 @@ class Dropout(layers.Layer):
self
.
_is_test
=
is_test
def
forward
(
self
,
input
):
# fast return for p == 0
if
self
.
_dropout_prob
==
0
:
return
input
prog
=
default_main_program
()
if
(
self
.
_seed
is
None
or
self
.
_seed
==
0
)
and
prog
.
random_seed
!=
0
:
self
.
_seed
=
prog
.
random_seed
...
...
python/paddle/fluid/layers/nn.py
浏览文件 @
0fdd3656
...
...
@@ -1007,6 +1007,9 @@ def dropout(x,
x = fluid.data(name="data", shape=[None, 32, 32], dtype="float32")
dropped = fluid.layers.dropout(x, dropout_prob=0.5)
"""
# fast return for p == 0
if dropout_prob == 0:
return x
def get_attrs(prog, dropout_prob, is_test, seed):
if (seed is None or seed == 0) and prog.random_seed != 0:
...
...
python/paddle/fluid/tests/unittests/test_dropout_op.py
浏览文件 @
0fdd3656
...
...
@@ -302,13 +302,16 @@ class TestDropoutFAPI(unittest.TestCase):
training
=
False
,
mode
=
'downscale_in_infer'
)
res10
=
paddle
.
nn
.
functional
.
dropout
(
x
=
input
,
p
=
1.
,
training
=
True
)
res11
=
paddle
.
fluid
.
layers
.
dropout
(
x
=
input
,
dropout_prob
=
0.
)
in_np
=
np
.
random
.
random
([
40
,
40
]).
astype
(
"float32"
)
res_np
=
in_np
res_np2
=
np
.
zeros_like
(
in_np
)
exe
=
fluid
.
Executor
(
place
)
res_list
=
[
res1
,
res2
,
res3
,
res4
,
res5
,
res6
,
res7
,
res8
,
res9
]
res_list
=
[
res1
,
res2
,
res3
,
res4
,
res5
,
res6
,
res7
,
res8
,
res9
,
res11
]
for
res
in
res_list
:
fetches
=
exe
.
run
(
fluid
.
default_main_program
(),
feed
=
{
"input"
:
in_np
},
...
...
@@ -383,8 +386,12 @@ class TestDropoutFAPI(unittest.TestCase):
mode
=
'downscale_in_infer'
)
res10
=
paddle
.
nn
.
functional
.
dropout
(
x
=
input
,
p
=
1.
,
training
=
True
)
dropout
=
paddle
.
fluid
.
dygraph
.
Dropout
(
p
=
0
,
)
res11
=
dropout
(
input
)
res_list
=
[
res1
,
res2
,
res3
,
res4
,
res5
,
res6
,
res7
,
res8
,
res9
]
res_list
=
[
res1
,
res2
,
res3
,
res4
,
res5
,
res6
,
res7
,
res8
,
res9
,
res11
]
for
res
in
res_list
:
self
.
assertTrue
(
np
.
allclose
(
res
.
numpy
(),
res_np
))
self
.
assertTrue
(
np
.
allclose
(
res10
.
numpy
(),
res_np2
))
...
...
python/paddle/nn/functional/common.py
浏览文件 @
0fdd3656
...
...
@@ -887,6 +887,10 @@ def dropout(x,
print(y_01)
"""
# fast return for p == 0
if
p
==
0
:
return
x
if
not
isinstance
(
p
,
(
float
,
int
)):
raise
TypeError
(
"p argument should be a number"
)
if
p
<
0
or
p
>
1
:
...
...
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