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c8c94799
编写于
10月 08, 2018
作者:
X
Xin Pan
提交者:
GitHub
10月 08, 2018
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差异文件
Merge pull request #13763 from sneaxiy/release/1.0.0
Add comments in `shuffle` and fix 'unstack'
上级
9f0a9392
cff74433
变更
2
显示空白变更内容
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并排
Showing
2 changed file
with
10 addition
and
3 deletion
+10
-3
python/paddle/fluid/layers/io.py
python/paddle/fluid/layers/io.py
+7
-0
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+3
-3
未找到文件。
python/paddle/fluid/layers/io.py
浏览文件 @
c8c94799
...
@@ -842,6 +842,13 @@ def __create_unshared_decorated_reader__(op_type, reader, attrs, name=None):
...
@@ -842,6 +842,13 @@ def __create_unshared_decorated_reader__(op_type, reader, attrs, name=None):
def
shuffle
(
reader
,
buffer_size
):
def
shuffle
(
reader
,
buffer_size
):
"""
"""
Shuffle the reader.
Shuffle the reader.
Args:
reader(Variable): The reader to be decorated with 'shuffling'.
buffer_size(int): The pre-read number of data in :code:`reader`.
Returns:
Variable: The reader which has been decorated with 'shuffling'.
"""
"""
return
__create_unshared_decorated_reader__
(
return
__create_unshared_decorated_reader__
(
'create_shuffle_reader'
,
reader
,
{
'buffer_size'
:
int
(
buffer_size
)})
'create_shuffle_reader'
,
reader
,
{
'buffer_size'
:
int
(
buffer_size
)})
...
...
python/paddle/fluid/layers/nn.py
浏览文件 @
c8c94799
...
@@ -6367,7 +6367,7 @@ def stack(x, axis=0):
...
@@ -6367,7 +6367,7 @@ def stack(x, axis=0):
if
not
isinstance
(
x
,
list
)
and
not
isinstance
(
x
,
tuple
):
if
not
isinstance
(
x
,
list
)
and
not
isinstance
(
x
,
tuple
):
x
=
[
x
]
x
=
[
x
]
out
=
helper
.
create_tmp_variable
(
x
[
0
].
dtype
)
out
=
helper
.
create_tmp_variable
(
dtype
=
x
[
0
].
dtype
)
helper
.
append_op
(
helper
.
append_op
(
type
=
'stack'
,
inputs
=
{
'X'
:
x
},
outputs
=
{
'Y'
:
out
},
type
=
'stack'
,
inputs
=
{
'X'
:
x
},
outputs
=
{
'Y'
:
out
},
attrs
=
{
'axis'
:
axis
})
attrs
=
{
'axis'
:
axis
})
...
@@ -6404,8 +6404,8 @@ def unstack(x, axis=0, num=None):
...
@@ -6404,8 +6404,8 @@ def unstack(x, axis=0, num=None):
num
=
x
.
shape
[
axis
]
num
=
x
.
shape
[
axis
]
outs
=
[]
outs
=
[]
for
_
in
num
:
for
_
in
xrange
(
num
)
:
outs
.
append
(
helper
.
create_tmp_variable
(
x
.
dtype
))
outs
.
append
(
helper
.
create_tmp_variable
(
dtype
=
x
.
dtype
))
helper
.
append_op
(
helper
.
append_op
(
type
=
'unstack'
,
type
=
'unstack'
,
...
...
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