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testgroup
pytensor
Commits
82abb2a9
提交
82abb2a9
authored
5月 25, 2017
作者:
Reyhane Askari
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电子邮件补丁
差异文件
minor fix
上级
dd349d20
隐藏空白字符变更
内嵌
并排
正在显示
2 个修改的文件
包含
8 行增加
和
11 行删除
+8
-11
configdefaults.py
theano/configdefaults.py
+7
-10
fg.py
theano/gof/fg.py
+1
-1
没有找到文件。
theano/configdefaults.py
浏览文件 @
82abb2a9
...
@@ -1477,18 +1477,15 @@ AddConfigVar('compile.wait',
...
@@ -1477,18 +1477,15 @@ AddConfigVar('compile.wait',
"""Time to wait before retrying to aquire the compile lock."""
,
"""Time to wait before retrying to aquire the compile lock."""
,
IntParam
(
5
,
lambda
i
:
i
>
0
,
allow_override
=
False
),
IntParam
(
5
,
lambda
i
:
i
>
0
,
allow_override
=
False
),
in_c_key
=
False
)
in_c_key
=
False
)
"""
If cycle_detection is set to regular, most inplaces are allowed,
but it is slower. If cycle_detection is set to faster,
less inplaces are allowed, but it makes the compilation faster.
The interaction of which one give the lower peak memory usage is complicated and
not predictable, so if you are close to the peak memory usage, triyng both
could give you a small gain.
"""
AddConfigVar
(
'cycle_detection'
,
AddConfigVar
(
'cycle_detection'
,
"""If true it disables the cycle detection in graph.
"If cycle_detection is set to regular, most inplaces are allowed,"
"""
,
"but it is slower. If cycle_detection is set to faster, less inplaces"
"are allowed, but it makes the compilation faster."
"The interaction of which one give the lower peak memory usage is"
"complicated and not predictable, so if you are close to the peak"
"memory usage, triyng both could give you a small gain. "
,
EnumStr
(
'regular'
,
'fast'
),
EnumStr
(
'regular'
,
'fast'
),
in_c_key
=
False
)
in_c_key
=
False
)
...
...
theano/gof/fg.py
浏览文件 @
82abb2a9
...
@@ -675,7 +675,7 @@ class FunctionGraph(utils.object2):
...
@@ -675,7 +675,7 @@ class FunctionGraph(utils.object2):
" will be non-deterministic."
)
" will be non-deterministic."
)
if
len
(
all_orderings
)
==
1
:
if
len
(
all_orderings
)
==
1
:
# If there is only 1 ordering, we reuse it directly.
# If there is only 1 ordering, we reuse it directly.
return
all_orderings
[
0
]
return
all_orderings
[
0
]
.
copy
()
else
:
else
:
# If there is more than 1 ordering, combine them.
# If there is more than 1 ordering, combine them.
ords
=
OrderedDict
()
ords
=
OrderedDict
()
...
...
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