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testgroup
pytensor
Commits
05378c82
提交
05378c82
authored
3月 11, 2015
作者:
Pascal Lamblin
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电子邮件补丁
差异文件
Print warning only once
上级
9120fd0d
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
4 行增加
和
2 行删除
+4
-2
opt.py
theano/tensor/opt.py
+2
-1
test_opt.py
theano/tensor/tests/test_opt.py
+2
-1
没有找到文件。
theano/tensor/opt.py
浏览文件 @
05378c82
...
@@ -13,6 +13,7 @@ import operator
...
@@ -13,6 +13,7 @@ import operator
import
sys
import
sys
import
time
import
time
import
traceback
import
traceback
import
warnings
import
numpy
import
numpy
import
numpy
as
N
# guys... please don't do this in the library :(
import
numpy
as
N
# guys... please don't do this in the library :(
...
@@ -3908,7 +3909,7 @@ def local_reduce_join(node):
...
@@ -3908,7 +3909,7 @@ def local_reduce_join(node):
# I put this warning late to don't add extra warning.
# I put this warning late to don't add extra warning.
if
len
(
reduce_axis
)
!=
1
or
0
not
in
reduce_axis
:
if
len
(
reduce_axis
)
!=
1
or
0
not
in
reduce_axis
:
if
theano
.
config
.
warn
.
reduce_join
:
if
theano
.
config
.
warn
.
reduce_join
:
_logger
.
warn
((
warnings
.
warn
((
'Your current code is fine, but Theano versions '
'Your current code is fine, but Theano versions '
'prior to 0.7 (or this development version Sept 2014) '
'prior to 0.7 (or this development version Sept 2014) '
'might have given an incorrect result for this code. '
'might have given an incorrect result for this code. '
...
...
theano/tensor/tests/test_opt.py
浏览文件 @
05378c82
...
@@ -4447,7 +4447,8 @@ class T_local_reduce(unittest.TestCase):
...
@@ -4447,7 +4447,8 @@ class T_local_reduce(unittest.TestCase):
assert
isinstance
(
topo
[
-
1
]
.
op
,
T
.
Elemwise
),
out
assert
isinstance
(
topo
[
-
1
]
.
op
,
T
.
Elemwise
),
out
# Test different axis for the join and the reduction
# Test different axis for the join and the reduction
# We must force the dtype, of otherwise, this tests will fail in 32 bit system
# We must force the dtype, of otherwise, this tests will fail
# on 32 bit systems
A
=
theano
.
shared
(
numpy
.
array
([
1
,
2
,
3
,
4
,
5
],
dtype
=
'int64'
))
A
=
theano
.
shared
(
numpy
.
array
([
1
,
2
,
3
,
4
,
5
],
dtype
=
'int64'
))
f
=
theano
.
function
([],
T
.
sum
(
T
.
stack
(
A
,
A
),
axis
=
0
),
mode
=
self
.
mode
)
f
=
theano
.
function
([],
T
.
sum
(
T
.
stack
(
A
,
A
),
axis
=
0
),
mode
=
self
.
mode
)
...
...
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