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testgroup
pytensor
Commits
09992057
提交
09992057
authored
6月 03, 2015
作者:
ChienliMa
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2 个修改的文件
包含
10 行增加
和
10 行删除
+10
-10
debugmode.py
theano/compile/debugmode.py
+1
-1
function_module.py
theano/compile/function_module.py
+9
-9
没有找到文件。
theano/compile/debugmode.py
浏览文件 @
09992057
...
...
@@ -2633,7 +2633,7 @@ class _Maker(FunctionMaker): # inheritance buys a few helper functions
defaults
=
_defaults
# Get a function instance
_fn
,
_i
,
_o
=
self
.
linker
.
make_thunk
(
input_storage
=
input_storage
,
_fn
,
_i
,
_o
=
self
.
linker
.
make_thunk
(
input_storage
=
input_storage
,
storage_map
=
storage_map
)
fn
=
self
.
function_builder
(
_fn
,
_i
,
_o
,
self
.
indices
,
self
.
outputs
,
defaults
,
self
.
unpack_single
,
...
...
theano/compile/function_module.py
浏览文件 @
09992057
...
...
@@ -552,13 +552,13 @@ class Function(object):
def
copy
(
self
,
share_memory
=
False
):
"""
Copy this function. Copied function will have separated maker and
fgraph with original function. User can choose whether to separate
Copy this function. Copied function will have separated maker and
fgraph with original function. User can choose whether to separate
storage by changing the share_memory arguments
---------------------
Params:
share_memory -- { boolean } Default is False. When True, two
function share intermediate storages(storages except input and
share_memory -- { boolean } Default is False. When True, two
function share intermediate storages(storages except input and
output storages)
---------------------
Returns:
...
...
@@ -579,12 +579,12 @@ class Function(object):
# so that the ensuing function shares storage with the original one
new_storage_map
=
{}
storage_map
=
self
.
fn
.
storage_map
# TODO: We could share the output storage, but we must make sure
# 2 different function call won't override each other values. This
# is already done elsewhere, so to reuse it the user would need to
# use Out(var, borrow=True) and maybe the mutable=True flag too.
# But to be safe for now as it isn't documented and we aren't sure
# But to be safe for now as it isn't documented and we aren't sure
# it is well tested, we don't share the part of the storage_map.
for
key
in
storage_map
.
keys
():
if
key
not
in
maker
.
fgraph
.
outputs
:
...
...
@@ -594,15 +594,15 @@ class Function(object):
input_storage
=
[]
for
i
in
maker
.
inputs
:
storage
=
getattr
(
i
,
'value'
,
None
)
if
isinstance
(
i
.
variable
,
theano
.
tensor
.
Constant
)
or
\
not
i
.
mutable
:
if
isinstance
(
i
.
variable
,
theano
.
tensor
.
Constant
)
or
\
not
i
.
mutable
:
input_storage
.
append
(
storage
)
else
:
input_storage
.
append
(
copy
.
deepcopy
[
storage
])
# reinitialize new maker and create new function
return
maker
.
__class__
(
inputs
=
ins
,
outputs
=
outs
,
fgraph
=
fg_cpy
,
mode
=
maker
.
mode
,
profile
=
maker
.
profile
,
mode
=
maker
.
mode
,
profile
=
maker
.
profile
,
on_unused_input
=
maker
.
on_unused_input
,
function_builder
=
maker
.
function_builder
,
accept_inplace
=
maker
.
accept_inplace
)
.
create
(
...
...
编写
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