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testgroup
pytensor
Commits
f7bb0730
提交
f7bb0730
authored
3月 09, 2012
作者:
Olivier Delalleau
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Typo fix: their is -> there is
Also fixed an indent issue
上级
1d26096a
隐藏空白字符变更
内嵌
并排
正在显示
1 个修改的文件
包含
4 行增加
和
4 行删除
+4
-4
basic.py
theano/tensor/basic.py
+4
-4
没有找到文件。
theano/tensor/basic.py
浏览文件 @
f7bb0730
...
@@ -797,10 +797,10 @@ class TensorType(Type):
...
@@ -797,10 +797,10 @@ class TensorType(Type):
@staticmethod
@staticmethod
def
values_eq_approx
(
a
,
b
,
allow_remove_inf
=
False
,
allow_remove_nan
=
False
):
def
values_eq_approx
(
a
,
b
,
allow_remove_inf
=
False
,
allow_remove_nan
=
False
):
"""
"""
:param allow_remove_inf: If True, when the
ir
is an inf in a,
:param allow_remove_inf: If True, when the
re
is an inf in a,
we allow any value in b in that position.
we allow any value in b in that position.
Event -inf
Event -inf
:param allow_remove_nan: If True, when the
ir
is a nan in a,
:param allow_remove_nan: If True, when the
re
is a nan in a,
we allow any value in b in that position.
we allow any value in b in that position.
Event +-inf
Event +-inf
"""
"""
...
@@ -4557,13 +4557,13 @@ def stack(*tensors):
...
@@ -4557,13 +4557,13 @@ def stack(*tensors):
# And DebugMode can't detect error in this code as it is not in an optimization.
# And DebugMode can't detect error in this code as it is not in an optimization.
# See ticket #660
# See ticket #660
if
numpy
.
all
([
if
numpy
.
all
([
# in case the
ir
is direct int in tensors.
# in case the
re
is direct int in tensors.
isinstance
(
t
,
(
numpy
.
number
,
float
,
int
,
python_complex
))
or
isinstance
(
t
,
(
numpy
.
number
,
float
,
int
,
python_complex
))
or
(
isinstance
(
t
,
Variable
)
and
(
isinstance
(
t
,
Variable
)
and
isinstance
(
t
.
type
,
TensorType
)
and
isinstance
(
t
.
type
,
TensorType
)
and
t
.
ndim
==
0
)
t
.
ndim
==
0
)
for
t
in
tensors
]):
for
t
in
tensors
]):
#in case their
is direct int
# in case there
is direct int
tensors
=
map
(
as_tensor_variable
,
tensors
)
tensors
=
map
(
as_tensor_variable
,
tensors
)
dtype
=
scal
.
upcast
(
*
[
i
.
dtype
for
i
in
tensors
])
dtype
=
scal
.
upcast
(
*
[
i
.
dtype
for
i
in
tensors
])
return
theano
.
tensor
.
opt
.
MakeVector
(
dtype
)(
*
tensors
)
return
theano
.
tensor
.
opt
.
MakeVector
(
dtype
)(
*
tensors
)
...
...
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