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testgroup
pytensor
Commits
62cc36f7
提交
62cc36f7
authored
2月 28, 2022
作者:
Brandon T. Willard
提交者:
Brandon T. Willard
5月 09, 2022
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电子邮件补丁
差异文件
Clean up and fix FunctionGraph cloning
This adds the missing `update_mapping`s step during cloning, as well as a new `Feature` cloning step that prevents issues when features are copied to their clones.
上级
712c53a6
隐藏空白字符变更
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1 个修改的文件
包含
21 行增加
和
22 行删除
+21
-22
fg.py
aesara/graph/fg.py
+21
-22
没有找到文件。
aesara/graph/fg.py
浏览文件 @
62cc36f7
...
...
@@ -2,6 +2,7 @@
import
time
from
collections
import
OrderedDict
from
typing
import
(
TYPE_CHECKING
,
Any
,
Dict
,
Iterable
,
...
...
@@ -26,6 +27,9 @@ from aesara.graph.utils import MetaObject, MissingInputError, TestValueError
from
aesara.misc.ordered_set
import
OrderedSet
if
TYPE_CHECKING
:
from
aesara.graph.op
import
Op
ApplyOrOutput
=
Union
[
Apply
,
Literal
[
"output"
]]
ClientType
=
Tuple
[
ApplyOrOutput
,
int
]
...
...
@@ -69,9 +73,7 @@ class FunctionGraph(MetaObject):
features
:
Optional
[
Sequence
[
Feature
]]
=
None
,
clone
:
bool
=
True
,
update_mapping
:
Optional
[
Dict
[
Variable
,
Variable
]]
=
None
,
memo
:
Optional
[
Dict
]
=
None
,
copy_inputs
:
bool
=
True
,
copy_orphans
:
bool
=
True
,
**
clone_kwds
,
):
"""
Create a `FunctionGraph` which operates on the subgraph between the
...
...
@@ -83,19 +85,15 @@ class FunctionGraph(MetaObject):
Input variables of the graph.
outputs
Output variables of the graph.
clone
If ``True``, the graph will be cloned.
features
A list of features to be added to the `FunctionGraph`.
clone
If ``True``, the graph will be cloned.
update_mapping
Mapping between the `inputs` with updates and the `outputs`
corresponding to their updates.
memo
See :func:`aesara.graph.basic.clone_get_equiv`.
copy_inputs
See :func:`aesara.graph.basic.clone_get_equiv`.
copy_orphans
See :func:`aesara.graph.basic.clone_get_equiv`.
clone_kwds
Keywords passed to `clone_get_equiv` when `clone` is ``True``.
"""
if
outputs
is
None
:
raise
ValueError
(
"No outputs specified"
)
...
...
@@ -109,9 +107,7 @@ class FunctionGraph(MetaObject):
_memo
=
clone_get_equiv
(
inputs
,
outputs
,
copy_inputs
=
copy_inputs
,
copy_orphans
=
copy_orphans
,
memo
=
memo
,
**
clone_kwds
,
)
outputs
=
[
cast
(
Variable
,
_memo
[
o
])
for
o
in
outputs
]
inputs
=
[
cast
(
Variable
,
_memo
[
i
])
for
i
in
inputs
]
...
...
@@ -868,33 +864,36 @@ class FunctionGraph(MetaObject):
return
self
.
clone_get_equiv
(
check_integrity
)[
0
]
def
clone_get_equiv
(
self
,
check_integrity
:
bool
=
True
,
attach_feature
:
bool
=
True
)
->
Tuple
[
"FunctionGraph"
,
Dict
]:
self
,
check_integrity
:
bool
=
True
,
attach_feature
:
bool
=
True
,
**
kwargs
)
->
Tuple
[
"FunctionGraph"
,
Dict
[
Union
[
Apply
,
Variable
,
"Op"
],
Union
[
Apply
,
Variable
,
"Op"
]],
]:
"""Clone the graph and return a ``dict`` that maps old nodes to new nodes.
Parameters
----------
check_integrity
Whether
to check
integrity.
Whether
or not to check the resulting graph's
integrity.
attach_feature
Whether
to attach feature of origin graph to
cloned graph.
Whether
or not to attach `self`'s features to the
cloned graph.
Returns
-------
e
Cloned fgraph. Every node in
cloned graph is cloned.
The cloned `FunctionGraph`. Every node in the
cloned graph is cloned.
equiv
A ``dict`` that maps old nodes to the new nodes.
"""
equiv
=
clone_get_equiv
(
self
.
inputs
,
self
.
outputs
)
equiv
=
clone_get_equiv
(
self
.
inputs
,
self
.
outputs
,
**
kwargs
)
if
check_integrity
:
self
.
check_integrity
()
e
=
FunctionGraph
(
[
cast
(
Variable
,
equiv
[
i
])
for
i
in
self
.
inputs
],
[
cast
(
Variable
,
equiv
[
o
])
for
o
in
self
.
outputs
],
clone
=
False
,
update_mapping
=
self
.
update_mapping
,
)
if
check_integrity
:
e
.
check_integrity
()
...
...
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