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3559e5a3
编写于
6月 11, 2019
作者:
S
SunGaofeng
提交者:
GitHub
6月 11, 2019
浏览文件
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电子邮件补丁
差异文件
fix bug when iterate in locals_var.items() in python3 (#17948)
test=develop
上级
9f519baf
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
4 addition
and
4 deletion
+4
-4
python/paddle/fluid/layers/ops.py
python/paddle/fluid/layers/ops.py
+4
-4
未找到文件。
python/paddle/fluid/layers/ops.py
浏览文件 @
3559e5a3
...
@@ -89,7 +89,7 @@ def uniform_random(shape, dtype='float32', min=-1.0, max=1.0, seed=0):
...
@@ -89,7 +89,7 @@ def uniform_random(shape, dtype='float32', min=-1.0, max=1.0, seed=0):
if
not
isinstance
(
dtype
,
core
.
VarDesc
.
VarType
):
if
not
isinstance
(
dtype
,
core
.
VarDesc
.
VarType
):
dtype
=
convert_np_dtype_to_dtype_
(
dtype
)
dtype
=
convert_np_dtype_to_dtype_
(
dtype
)
locals_var
=
locals
()
locals_var
=
locals
()
.
copy
()
kwargs
=
dict
()
kwargs
=
dict
()
for
name
,
val
in
locals_var
.
items
():
for
name
,
val
in
locals_var
.
items
():
if
val
is
not
None
:
if
val
is
not
None
:
...
@@ -103,7 +103,7 @@ _hard_shrink_ = generate_layer_fn('hard_shrink')
...
@@ -103,7 +103,7 @@ _hard_shrink_ = generate_layer_fn('hard_shrink')
def
hard_shrink
(
x
,
threshold
=
None
):
def
hard_shrink
(
x
,
threshold
=
None
):
locals_var
=
locals
()
locals_var
=
locals
()
.
copy
()
kwargs
=
dict
()
kwargs
=
dict
()
for
name
,
val
in
locals_var
.
items
():
for
name
,
val
in
locals_var
.
items
():
if
val
is
not
None
:
if
val
is
not
None
:
...
@@ -124,7 +124,7 @@ _cum_sum_ = generate_layer_fn('cumsum')
...
@@ -124,7 +124,7 @@ _cum_sum_ = generate_layer_fn('cumsum')
def
cumsum
(
x
,
axis
=
None
,
exclusive
=
None
,
reverse
=
None
):
def
cumsum
(
x
,
axis
=
None
,
exclusive
=
None
,
reverse
=
None
):
locals_var
=
locals
()
locals_var
=
locals
()
.
copy
()
kwargs
=
dict
()
kwargs
=
dict
()
for
name
,
val
in
locals_var
.
items
():
for
name
,
val
in
locals_var
.
items
():
if
val
is
not
None
:
if
val
is
not
None
:
...
@@ -145,7 +145,7 @@ _thresholded_relu_ = generate_layer_fn('thresholded_relu')
...
@@ -145,7 +145,7 @@ _thresholded_relu_ = generate_layer_fn('thresholded_relu')
def
thresholded_relu
(
x
,
threshold
=
None
):
def
thresholded_relu
(
x
,
threshold
=
None
):
locals_var
=
locals
()
locals_var
=
locals
()
.
copy
()
kwargs
=
dict
()
kwargs
=
dict
()
for
name
,
val
in
locals_var
.
items
():
for
name
,
val
in
locals_var
.
items
():
if
val
is
not
None
:
if
val
is
not
None
:
...
...
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