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pytensor
Commits
c7351f2d
提交
c7351f2d
authored
5月 05, 2008
作者:
James Bergstra
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
consistent toposort
上级
73b15ce2
隐藏空白字符变更
内嵌
并排
正在显示
3 个修改的文件
包含
242 行增加
和
74 行删除
+242
-74
_test_graph.py
gof/_test_graph.py
+99
-3
graph.py
gof/graph.py
+142
-71
utils.py
gof/utils.py
+1
-0
没有找到文件。
gof/_test_graph.py
浏览文件 @
c7351f2d
from
collections
import
deque
import
unittest
from
graph
import
*
from
op
import
Op
from
result
import
Result
def
inputs
(
result_list
):
"""
@type result_list: list of L{Result}
@param result_list: output L{Result}s (from which to search backward through owners)
@returns: the list of L{Result}s with no owner, in the order found by a
left-recursive depth-first search started at the L{Result}s in result_list.
"""
def
expand
(
r
):
if
r
.
owner
:
l
=
list
(
r
.
owner
.
inputs
)
l
.
reverse
()
return
l
dfs_results
=
stack_search
(
deque
(
result_list
),
expand
,
'dfs'
)
rval
=
[
r
for
r
in
dfs_results
if
r
.
owner
is
None
]
#print rval, _orig_inputs(o)
return
rval
if
1
:
testcase
=
unittest
.
TestCase
else
:
...
...
@@ -146,9 +164,87 @@ class _test_clone(testcase):
self
.
failUnless
(
s
==
[
"MyOp(R7, R8)"
],
s
)
assert
as_string
(
inputs
(
op
.
outputs
),
op
.
outputs
)
==
[
"MyOp(MyOp(R1, R2), R5)"
]
def
prenode
(
obj
):
if
isinstance
(
obj
,
Result
):
if
obj
.
owner
:
return
[
obj
.
owner
]
if
isinstance
(
obj
,
Op
):
return
obj
.
inputs
class
_test_toposort
(
testcase
):
def
test0
(
self
):
"""Test a simple graph"""
r1
,
r2
,
r5
=
MyResult
(
1
),
MyResult
(
2
),
MyResult
(
5
)
o
=
MyOp
(
r1
,
r2
)
o2
=
MyOp
(
o
.
outputs
[
0
],
r5
)
all
=
general_toposort
(
o2
.
outputs
,
prenode
)
self
.
failUnless
(
all
==
[
r5
,
r2
,
r1
,
o
,
o
.
outputs
[
0
],
o2
,
o2
.
outputs
[
0
]],
all
)
all
=
io_toposort
([
r5
],
o2
.
outputs
)
self
.
failUnless
(
all
==
[
o
,
o2
],
all
)
def
test1
(
self
):
"""Test a graph with double dependencies"""
r1
,
r2
,
r5
=
MyResult
(
1
),
MyResult
(
2
),
MyResult
(
5
)
o
=
MyOp
(
r1
,
r1
)
o2
=
MyOp
(
o
.
outputs
[
0
],
r5
)
all
=
general_toposort
(
o2
.
outputs
,
prenode
)
self
.
failUnless
(
all
==
[
r5
,
r1
,
o
,
o
.
outputs
[
0
],
o2
,
o2
.
outputs
[
0
]],
all
)
def
test2
(
self
):
"""Test a graph where the inputs have owners"""
r1
,
r2
,
r5
=
MyResult
(
1
),
MyResult
(
2
),
MyResult
(
5
)
o
=
MyOp
(
r1
,
r1
)
r2b
=
o
.
outputs
[
0
]
o2
=
MyOp
(
r2b
,
r2b
)
all
=
io_toposort
([
r2b
],
o2
.
outputs
)
self
.
failUnless
(
all
==
[
o2
],
all
)
o2
=
MyOp
(
r2b
,
r5
)
all
=
io_toposort
([
r2b
],
o2
.
outputs
)
self
.
failUnless
(
all
==
[
o2
],
all
)
def
test3
(
self
):
"""Test a graph which is not connected"""
r1
,
r2
,
r3
,
r4
=
MyResult
(
1
),
MyResult
(
2
),
MyResult
(
3
),
MyResult
(
4
)
o0
=
MyOp
(
r1
,
r2
)
o1
=
MyOp
(
r3
,
r4
)
all
=
io_toposort
([
r1
,
r2
,
r3
,
r4
],
o0
.
outputs
+
o1
.
outputs
)
self
.
failUnless
(
all
==
[
o1
,
o0
],
all
)
def
test4
(
self
):
"""Test inputs and outputs mixed together in a chain graph"""
r1
,
r2
,
r3
,
r4
=
MyResult
(
1
),
MyResult
(
2
),
MyResult
(
3
),
MyResult
(
4
)
o0
=
MyOp
(
r1
,
r2
)
o1
=
MyOp
(
o0
.
outputs
[
0
],
r1
)
all
=
io_toposort
([
r1
,
o0
.
outputs
[
0
]],
[
o0
.
outputs
[
0
],
o1
.
outputs
[
0
]])
self
.
failUnless
(
all
==
[
o1
],
all
)
def
test5
(
self
):
"""Test when outputs have clients"""
r1
,
r2
,
r3
,
r4
=
MyResult
(
1
),
MyResult
(
2
),
MyResult
(
3
),
MyResult
(
4
)
o0
=
MyOp
(
r1
,
r2
)
o1
=
MyOp
(
o0
.
outputs
[
0
],
r4
)
all
=
io_toposort
([],
o0
.
outputs
)
self
.
failUnless
(
all
==
[
o0
],
all
)
if
__name__
==
'__main__'
:
unittest
.
main
()
#_test_inputs('test_unreached_inputs').debug()
if
1
:
#run all tests
unittest
.
main
()
elif
1
:
#load some TestCase classes
suite
=
unittest
.
TestLoader
()
suite
=
suite
.
loadTestsFromTestCase
(
_test_toposort
)
#run just some of them
unittest
.
TextTestRunner
(
verbosity
=
2
)
.
run
(
suite
)
else
:
#run just a single test
_test_toposort
(
'test0'
)
.
debug
()
gof/graph.py
浏览文件 @
c7351f2d
...
...
@@ -7,10 +7,10 @@ import result, op
__all__
=
[
'inputs'
,
'results_and_orphans'
,
'results'
,
'orphans'
,
'results_and_orphans'
,
'results'
,
'orphans'
,
'stack_search'
,
'ops'
,
'clone'
,
'clone_get_equiv'
,
'io_toposort'
,
'io_toposort'
,
'general_toposort'
,
'default_leaf_formatter'
,
'default_node_formatter'
,
'op_as_string'
,
'as_string'
,
...
...
@@ -61,6 +61,8 @@ def stack_search(start, expand, mode='bfs', build_inv = False):
return
rval_list
,
expand_inv
return
rval_list
@utils.deprecated
(
'gof.graph'
,
'is this function ever used?'
)
def
inputs
(
result_list
):
"""
@type result_list: list of L{Result}
...
...
@@ -80,54 +82,6 @@ def inputs(result_list):
return
rval
@utils.deprecated
(
'gof.graph'
,
'preserving only for review'
)
def
_results_and_orphans
(
i
,
o
,
except_unreachable_input
=
False
):
"""
@type i: list
@param i: input L{Result}s
@type o: list
@param o: output L{Result}s
Returns the pair (results, orphans). The former is the set of
L{Result}s that are involved in the subgraph that lies between i and
o. This includes i, o, orphans(i, o) and all results of all
intermediary steps from i to o. The second element of the returned
pair is orphans(i, o).
"""
results
=
set
()
i
=
set
(
i
)
results
.
update
(
i
)
incomplete_paths
=
[]
reached
=
set
()
def
helper
(
r
,
path
):
if
r
in
i
:
reached
.
add
(
r
)
results
.
update
(
path
)
elif
r
.
owner
is
None
:
incomplete_paths
.
append
(
path
)
else
:
op
=
r
.
owner
for
r2
in
op
.
inputs
:
helper
(
r2
,
path
+
[
r2
])
for
output
in
o
:
helper
(
output
,
[
output
])
orphans
=
set
()
for
path
in
incomplete_paths
:
for
r
in
path
:
if
r
not
in
results
:
orphans
.
add
(
r
)
break
if
except_unreachable_input
and
len
(
i
)
!=
len
(
reached
):
raise
Exception
(
results_and_orphans
.
E_unreached
)
results
.
update
(
orphans
)
return
results
,
orphans
def
results_and_orphans
(
r_in
,
r_out
,
except_unreachable_input
=
False
):
r_in_set
=
set
(
r_in
)
class
Dummy
(
object
):
pass
...
...
@@ -282,31 +236,70 @@ def clone_get_equiv(i, o, copy_inputs_and_orphans = False):
return
d
def
general_toposort
(
r_out
,
deps
):
"""
@note: deps(i) should behave like a pure function (no funny business with
internal state)
def
io_toposort
(
i
,
o
,
orderings
=
{}):
@note: deps(i) can/should be cached by the deps function to be fast
"""
@type i: list
@param i: input L{Result}s
@type o: list
@param o: output L{Result}s
@param orderings: {op: [requirements for op]} (defaults to {})
deps_cache
=
{}
def
_deps
(
io
):
if
io
not
in
deps_cache
:
d
=
deps
(
io
)
if
d
:
deps_cache
[
io
]
=
list
(
d
)
else
:
deps_cache
[
io
]
=
d
return
d
else
:
return
deps_cache
[
io
]
assert
isinstance
(
r_out
,
(
tuple
,
list
,
deque
))
reachable
,
clients
=
stack_search
(
deque
(
r_out
),
_deps
,
'dfs'
,
True
)
sources
=
deque
([
r
for
r
in
reachable
if
not
deps_cache
.
get
(
r
,
None
)])
rset
=
set
()
rlist
=
[]
while
sources
:
node
=
sources
.
popleft
()
if
node
not
in
rset
:
rlist
.
append
(
node
)
rset
.
add
(
node
)
for
client
in
clients
.
get
(
node
,
[]):
deps_cache
[
client
]
=
[
a
for
a
in
deps_cache
[
client
]
if
a
is
not
node
]
if
not
deps_cache
[
client
]:
sources
.
append
(
client
)
if
len
(
rlist
)
!=
len
(
reachable
):
print
''
print
reachable
print
rlist
raise
'failed to complete topological sort of given nodes'
return
rlist
def
io_toposort
(
i
,
o
,
orderings
=
{}):
iset
=
set
(
i
)
def
deps
(
obj
):
rval
=
[]
if
obj
not
in
iset
:
if
isinstance
(
obj
,
result
.
Result
):
if
obj
.
owner
:
rval
=
[
obj
.
owner
]
if
isinstance
(
obj
,
op
.
Op
):
rval
=
list
(
obj
.
inputs
)
rval
.
extend
(
orderings
.
get
(
obj
,
[]))
else
:
assert
not
orderings
.
get
(
obj
,
[])
return
rval
topo
=
general_toposort
(
o
,
deps
)
return
[
o
for
o
in
topo
if
isinstance
(
o
,
op
.
Op
)]
@rtype: ordered list
@return: L{Op}s that belong in the subgraph between i and o which
respects the following constraints:
- all inputs in i are assumed to be already computed
- the L{Op}s that compute an L{Op}'s inputs must be computed before it
- the orderings specified in the optional orderings parameter must be satisfied
Note that this function does not take into account ordering information
related to destructive operations or other special behavior.
"""
prereqs_d
=
copy
(
orderings
)
all
=
ops
(
i
,
o
)
for
op
in
all
:
asdf
=
set
([
input
.
owner
for
input
in
op
.
inputs
if
input
.
owner
and
input
.
owner
in
all
])
prereqs_d
.
setdefault
(
op
,
set
())
.
update
(
asdf
)
return
utils
.
toposort
(
prereqs_d
)
default_leaf_formatter
=
str
...
...
@@ -430,4 +423,82 @@ class Graph:
if
0
:
#these were the old implementations
# they were replaced out of a desire that graph search routines would not
# depend on the hash or id of any node, so that it would be deterministic
# and consistent between program executions.
@utils.deprecated
(
'gof.graph'
,
'preserving only for review'
)
def
_results_and_orphans
(
i
,
o
,
except_unreachable_input
=
False
):
"""
@type i: list
@param i: input L{Result}s
@type o: list
@param o: output L{Result}s
Returns the pair (results, orphans). The former is the set of
L{Result}s that are involved in the subgraph that lies between i and
o. This includes i, o, orphans(i, o) and all results of all
intermediary steps from i to o. The second element of the returned
pair is orphans(i, o).
"""
results
=
set
()
i
=
set
(
i
)
results
.
update
(
i
)
incomplete_paths
=
[]
reached
=
set
()
def
helper
(
r
,
path
):
if
r
in
i
:
reached
.
add
(
r
)
results
.
update
(
path
)
elif
r
.
owner
is
None
:
incomplete_paths
.
append
(
path
)
else
:
op
=
r
.
owner
for
r2
in
op
.
inputs
:
helper
(
r2
,
path
+
[
r2
])
for
output
in
o
:
helper
(
output
,
[
output
])
orphans
=
set
()
for
path
in
incomplete_paths
:
for
r
in
path
:
if
r
not
in
results
:
orphans
.
add
(
r
)
break
if
except_unreachable_input
and
len
(
i
)
!=
len
(
reached
):
raise
Exception
(
results_and_orphans
.
E_unreached
)
results
.
update
(
orphans
)
return
results
,
orphans
def
_io_toposort
(
i
,
o
,
orderings
=
{}):
"""
@type i: list
@param i: input L{Result}s
@type o: list
@param o: output L{Result}s
@param orderings: {op: [requirements for op]} (defaults to {})
@rtype: ordered list
@return: L{Op}s that belong in the subgraph between i and o which
respects the following constraints:
- all inputs in i are assumed to be already computed
- the L{Op}s that compute an L{Op}'s inputs must be computed before it
- the orderings specified in the optional orderings parameter must be satisfied
Note that this function does not take into account ordering information
related to destructive operations or other special behavior.
"""
prereqs_d
=
copy
(
orderings
)
all
=
ops
(
i
,
o
)
for
op
in
all
:
asdf
=
set
([
input
.
owner
for
input
in
op
.
inputs
if
input
.
owner
and
input
.
owner
in
all
])
prereqs_d
.
setdefault
(
op
,
set
())
.
update
(
asdf
)
return
utils
.
toposort
(
prereqs_d
)
gof/utils.py
浏览文件 @
c7351f2d
...
...
@@ -61,6 +61,7 @@ def difference(seq1, seq2):
# -> use O(len(seq1) * len(seq2)) algo
return
[
x
for
x
in
seq1
if
x
not
in
seq2
]
def
partition
(
f
,
seq
):
seqt
=
[]
seqf
=
[]
...
...
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