Skip to content
项目
群组
代码片段
帮助
当前项目
正在载入...
登录 / 注册
切换导航面板
P
pytensor
项目
项目
详情
活动
周期分析
仓库
仓库
文件
提交
分支
标签
贡献者
图表
比较
统计图
议题
0
议题
0
列表
看板
标记
里程碑
合并请求
0
合并请求
0
CI / CD
CI / CD
流水线
作业
日程
统计图
Wiki
Wiki
代码片段
代码片段
成员
成员
折叠边栏
关闭边栏
活动
图像
聊天
创建新问题
作业
提交
问题看板
Open sidebar
testgroup
pytensor
Commits
af1e743d
提交
af1e743d
authored
6月 03, 2015
作者:
ChienliMa
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
format change
上级
85beeaca
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
26 行增加
和
29 行删除
+26
-29
debugmode.py
theano/compile/debugmode.py
+1
-1
function_module.py
theano/compile/function_module.py
+25
-28
没有找到文件。
theano/compile/debugmode.py
浏览文件 @
af1e743d
...
...
@@ -2634,7 +2634,7 @@ class _Maker(FunctionMaker): # inheritance buys a few helper functions
# Get a function instance
_fn
,
_i
,
_o
=
self
.
linker
.
make_thunk
(
input_storage
=
input_storage
,
storage_map
=
storage_map
)
storage_map
=
storage_map
)
fn
=
self
.
function_builder
(
_fn
,
_i
,
_o
,
self
.
indices
,
self
.
outputs
,
defaults
,
self
.
unpack_single
,
self
.
return_none
,
self
.
output_keys
,
self
)
...
...
theano/compile/function_module.py
浏览文件 @
af1e743d
...
...
@@ -22,9 +22,8 @@ import theano.compile.mode
from
theano.compile.io
import
(
In
,
SymbolicInput
,
SymbolicInputKit
,
SymbolicOutput
)
from
theano.compile.ops
import
deep_copy_op
,
view_op
from
theano.gof.graph
import
is_same_graph
,
clone_get_equiv
from
theano.gof.graph
import
is_same_graph
from
theano.gof.op
import
ops_with_inner_function
from
theano.gof.fg
import
FunctionGraph
import
logging
_logger
=
logging
.
getLogger
(
'theano.compile.function_module'
)
...
...
@@ -553,13 +552,14 @@ 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 storage by
changing the share_memory arguments
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 output storages)
share_memory -- { boolean } Default is False. When True, two
function share intermediate storages(storages except input and
output storages)
---------------------
Returns:
func -- Copied theano.Function
...
...
@@ -575,41 +575,38 @@ class Function(object):
maker
=
self
.
maker
fg_cpy
,
memo
=
maker
.
fgraph
.
clone_get_equiv
(
attach_feature
=
False
)
# use copied ins, outs and fgraph to init a maker
new_maker
=
maker
.
__class__
(
inputs
=
ins
,
outputs
=
outs
,
mode
=
maker
.
mode
,
fgraph
=
fg_cpy
,
profile
=
maker
.
profile
,
accept_inplace
=
maker
.
accept_inplace
,
function_builder
=
maker
.
function_builder
,
on_unused_input
=
maker
.
on_unused_input
)
# construct new storage_map that map new variable to old storage
# 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.
# 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
# it is well tested, we don't share the part of the storage_map.
for
key
in
storage_map
.
keys
():
if
key
not
in
self
.
maker
.
fgraph
.
outputs
:
if
key
not
in
maker
.
fgraph
.
outputs
:
new_storage_map
[
memo
[
key
]]
=
storage_map
[
key
]
# copy input storages if it's mutable
input_storage
=
[]
for
i
in
self
.
maker
.
inputs
:
storage
=
getattr
(
i
,
'value'
,
None
)
input_storage
=
[]
for
i
in
maker
.
inputs
:
storage
=
getattr
(
i
,
'value'
,
None
)
if
isinstance
(
i
.
variable
,
theano
.
tensor
.
Constant
)
or
\
not
i
.
mutable
:
input_storage
.
append
(
storage
)
input_storage
.
append
(
storage
)
else
:
input_storage
.
append
(
copy
.
deepcopy
[
storage
])
new_func
=
new_maker
.
create
(
input_storage
,
storage_map
=
new_storage_map
)
input_storage
.
append
(
copy
.
deepcopy
[
storage
])
return
new_func
# reinitialize new maker and create new function
return
maker
.
__class__
(
inputs
=
ins
,
outputs
=
outs
,
fgraph
=
fg_cpy
,
mode
=
maker
.
mode
,
profile
=
maker
.
profile
,
on_unused_input
=
maker
.
on_unused_input
,
function_builder
=
maker
.
function_builder
,
accept_inplace
=
maker
.
accept_inplace
)
.
create
(
input_storage
,
storage_map
=
new_storage_map
)
def
__call__
(
self
,
*
args
,
**
kwargs
):
profile
=
self
.
profile
...
...
@@ -1500,7 +1497,7 @@ class FunctionMaker(object):
limit_orig
=
theano
.
config
.
traceback
.
limit
try
:
theano
.
config
.
traceback
.
limit
=
0
_fn
,
_i
,
_o
=
self
.
linker
.
make_thunk
(
_fn
,
_i
,
_o
=
self
.
linker
.
make_thunk
(
input_storage
=
input_storage_lists
,
storage_map
=
storage_map
)
finally
:
theano
.
config
.
traceback
.
limit
=
limit_orig
...
...
编写
预览
Markdown
格式
0%
重试
或
添加新文件
添加附件
取消
您添加了
0
人
到此讨论。请谨慎行事。
请先完成此评论的编辑!
取消
请
注册
或者
登录
后发表评论