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testgroup
pytensor
Commits
6f4c3dc5
提交
6f4c3dc5
authored
5月 09, 2014
作者:
Li
提交者:
Frederic
10月 21, 2014
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差异文件
opt caching pkl optmized graph problem
上级
2dc51295
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
19 行增加
和
3 行删除
+19
-3
function_module.py
theano/compile/function_module.py
+19
-3
没有找到文件。
theano/compile/function_module.py
浏览文件 @
6f4c3dc5
...
@@ -1108,7 +1108,7 @@ class FunctionMaker(object):
...
@@ -1108,7 +1108,7 @@ class FunctionMaker(object):
print
'loaded
%
s, size=
%
d'
%
(
graph_db_file
,
len
(
graph_db
))
print
'loaded
%
s, size=
%
d'
%
(
graph_db_file
,
len
(
graph_db
))
need_optimize
=
True
need_optimize
=
True
# the sole purpose of this loop is to
fill 'same_graph_found
'
# the sole purpose of this loop is to
set 'need_optimize
'
for
graph_old
in
graph_db
.
keys
():
for
graph_old
in
graph_db
.
keys
():
inputs_old
=
graph_old
.
inputs
inputs_old
=
graph_old
.
inputs
outputs_old
=
graph_old
.
outputs
outputs_old
=
graph_old
.
outputs
...
@@ -1121,24 +1121,40 @@ class FunctionMaker(object):
...
@@ -1121,24 +1121,40 @@ class FunctionMaker(object):
# two graphs are for sure different
# two graphs are for sure different
continue
continue
else
:
else
:
#
if
the both inputs are of the same size
#
when
the both inputs are of the same size
givens
=
dict
(
zip
(
inputs_new
,
inputs_old
))
givens
=
dict
(
zip
(
inputs_new
,
inputs_old
))
is_same
=
is_same_graph
(
outputs_new
,
outputs_old
,
is_same
=
is_same_graph
(
outputs_new
,
outputs_old
,
givens
=
givens
)
givens
=
givens
)
if
is_same
:
if
is_same
:
# found the match
print
'found the match'
need_optimize
=
False
need_optimize
=
False
break
break
# now optimize or not
# now optimize or not
if
need_optimize
:
if
need_optimize
:
# this is a brand new graph, optimize it, save it to graph_db
# this is a brand new graph, optimize it, save it to graph_db
import
ipdb
;
ipdb
.
set_trace
()
test_file
=
open
(
theano
.
config
.
compiledir
+
'/test.pkl'
,
'w+'
)
cPickle
.
dump
(
fgraph
,
test_file
)
test_file
.
close
()
test_file
=
open
(
theano
.
config
.
compiledir
+
'/test.pkl'
,
'r'
)
cPickle
.
load
(
test_file
)
print
'Need to optimize the graph'
print
'Need to optimize the graph'
before_opt
=
copy
.
deepcopy
(
fgraph
)
before_opt
=
copy
.
deepcopy
(
fgraph
)
start_optimizer
=
time
.
time
()
start_optimizer
=
time
.
time
()
optimizer_profile
=
optimizer
(
fgraph
)
optimizer_profile
=
optimizer
(
fgraph
)
end_optimizer
=
time
.
time
()
end_optimizer
=
time
.
time
()
opt_time
=
end_optimizer
-
start_optimizer
opt_time
=
end_optimizer
-
start_optimizer
import
ipdb
;
ipdb
.
set_trace
()
import
ipdb
;
ipdb
.
set_trace
()
test_file
=
open
(
theano
.
config
.
compiledir
+
'/test.pkl'
,
'w+'
)
cPickle
.
dump
(
fgraph
,
test_file
)
test_file
.
close
()
test_file
=
open
(
theano
.
config
.
compiledir
+
'/test.pkl'
,
'r'
)
cPickle
.
load
(
test_file
)
graph_db
.
update
({
before_opt
:
fgraph
})
graph_db
.
update
({
before_opt
:
fgraph
})
cPickle
.
dump
(
graph_db
,
f
)
cPickle
.
dump
(
graph_db
,
f
)
else
:
else
:
...
@@ -1150,7 +1166,7 @@ class FunctionMaker(object):
...
@@ -1150,7 +1166,7 @@ class FunctionMaker(object):
# release stuff
# release stuff
f
.
close
()
f
.
close
()
release_lock
()
release_lock
()
opt_time
return
opt_time
opt_time
=
optimize_graph
(
fgraph
)
opt_time
=
optimize_graph
(
fgraph
)
...
...
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