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testgroup
pytensor
Commits
106625e3
提交
106625e3
authored
8月 04, 2010
作者:
Frederic Bastien
浏览文件
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电子邮件补丁
差异文件
make the ScanGrad op handle ProfileMode as the Scan op.
上级
40db8188
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
26 行增加
和
2 行删除
+26
-2
scan.py
theano/scan.py
+26
-2
没有找到文件。
theano/scan.py
浏览文件 @
106625e3
...
@@ -1021,12 +1021,14 @@ class Scan(Op):
...
@@ -1021,12 +1021,14 @@ class Scan(Op):
#we must make a copy otherwise in the profile their will time counted many times
#we must make a copy otherwise in the profile their will time counted many times
#1) The scan op and its time will include all time spend into the inner node.
#1) The scan op and its time will include all time spend into the inner node.
#2) The inner scan op with their real time.
#2) The inner scan op with their real time.
#This is done for the Scan and ScanGred op
if
mode
is
None
and
isinstance
(
mode_instance
,
compile
.
profilemode
.
ProfileMode
):
if
mode
is
None
and
isinstance
(
mode_instance
,
compile
.
profilemode
.
ProfileMode
):
mode_instance
=
compile
.
profilemode
.
ProfileMode
(
mode_instance
=
compile
.
profilemode
.
ProfileMode
(
optimizer
=
mode_instance
.
provided_optimizer
,
optimizer
=
mode_instance
.
provided_optimizer
,
linker
=
mode_instance
.
provided_linker
)
linker
=
mode_instance
.
provided_linker
)
compile
.
profilemode
.
prof_mode_instance_to_print
.
append
(
mode_instance
)
compile
.
profilemode
.
prof_mode_instance_to_print
.
append
(
mode_instance
)
self
.
mode_instance
=
mode_instance
self
.
mode_instance
=
mode_instance
self
.
mode_instance
.
message
=
"Scan sub profile"
if
name
is
None
:
name
=
'scan_fn'
if
name
is
None
:
name
=
'scan_fn'
self
.
fn
=
function
(
inputs
,
outputs
,
mode
=
mode_instance
,
givens
=
givens
,
self
.
fn
=
function
(
inputs
,
outputs
,
mode
=
mode_instance
,
givens
=
givens
,
...
@@ -1453,10 +1455,13 @@ class ScanGrad(Op):
...
@@ -1453,10 +1455,13 @@ class ScanGrad(Op):
def
__init__
(
self
,(
g_ins
,
g_outs
)
,
n_seqs
,
n_outs
,
def
__init__
(
self
,(
g_ins
,
g_outs
)
,
n_seqs
,
n_outs
,
n_outs_not_shared
,
n_outs_not_shared
,
go_backwards
=
False
,
seqs_taps
=
{},
outs_taps
=
{},
go_backwards
=
False
,
seqs_taps
=
{},
outs_taps
=
{},
truncate_gradient
=
-
1
):
truncate_gradient
=
-
1
,
mode
=
None
,
name
=
None
):
"""
:param mode: see scan fct
:param name: see scan fct
"""
self
.
grad_fn
=
function
(
g_ins
,
g_outs
)
self
.
inputs
=
g_ins
self
.
inputs
=
g_ins
self
.
outputs
=
g_outs
self
.
outputs
=
g_outs
self
.
n_outs_not_shared
=
n_outs_not_shared
self
.
n_outs_not_shared
=
n_outs_not_shared
...
@@ -1467,7 +1472,24 @@ class ScanGrad(Op):
...
@@ -1467,7 +1472,24 @@ class ScanGrad(Op):
self
.
seqs_taps
=
seqs_taps
self
.
seqs_taps
=
seqs_taps
self
.
outs_taps
=
outs_taps
self
.
outs_taps
=
outs_taps
self
.
destroy_map
=
{}
self
.
destroy_map
=
{}
self
.
mode
=
mode
mode_instance
=
compile
.
mode
.
get_mode
(
mode
)
#if we use the default mode and it is a ProfileMode
#we must make a copy otherwise in the profile their will time counted many times
#1) The scan op and its time will include all time spend into the inner node.
#2) The inner scan op with their real time.
#This is done for the Scan and ScanGred op
if
mode
is
None
and
isinstance
(
mode_instance
,
compile
.
profilemode
.
ProfileMode
):
mode_instance
=
compile
.
profilemode
.
ProfileMode
(
optimizer
=
mode_instance
.
provided_optimizer
,
linker
=
mode_instance
.
provided_linker
)
compile
.
profilemode
.
prof_mode_instance_to_print
.
append
(
mode_instance
)
self
.
mode_instance
=
mode_instance
self
.
mode_instance
.
message
=
"ScanGrad sub profile"
if
name
is
None
:
name
=
'scan_grad_fn'
self
.
grad_fn
=
function
(
g_ins
,
g_outs
,
mode
=
mode_instance
,
name
=
name
)
def
__eq__
(
self
,
other
):
def
__eq__
(
self
,
other
):
rval
=
type
(
self
)
==
type
(
other
)
rval
=
type
(
self
)
==
type
(
other
)
...
@@ -1479,6 +1501,7 @@ class ScanGrad(Op):
...
@@ -1479,6 +1501,7 @@ class ScanGrad(Op):
(
self
.
go_backwards
==
other
.
go_backwards
)
and
\
(
self
.
go_backwards
==
other
.
go_backwards
)
and
\
(
self
.
n_outs_not_shared
==
other
.
n_outs_not_shared
)
and
\
(
self
.
n_outs_not_shared
==
other
.
n_outs_not_shared
)
and
\
(
self
.
truncate_gradient
==
other
.
truncate_gradient
)
and
\
(
self
.
truncate_gradient
==
other
.
truncate_gradient
)
and
\
(
self
.
mode
==
other
.
mode
)
and
\
(
self
.
seqs_taps
==
other
.
seqs_taps
)
and
\
(
self
.
seqs_taps
==
other
.
seqs_taps
)
and
\
(
self
.
outs_taps
==
other
.
outs_taps
)
(
self
.
outs_taps
==
other
.
outs_taps
)
return
rval
return
rval
...
@@ -1489,6 +1512,7 @@ class ScanGrad(Op):
...
@@ -1489,6 +1512,7 @@ class ScanGrad(Op):
hash
(
self
.
n_outs
)
^
\
hash
(
self
.
n_outs
)
^
\
hash
(
self
.
go_backwards
)
^
\
hash
(
self
.
go_backwards
)
^
\
hash
(
self
.
truncate_gradient
)
^
\
hash
(
self
.
truncate_gradient
)
^
\
hash
(
self
.
mode
)
^
\
hash_listsDictsTuples
(
self
.
inputs
)
^
\
hash_listsDictsTuples
(
self
.
inputs
)
^
\
hash_listsDictsTuples
(
self
.
outputs
)
^
\
hash_listsDictsTuples
(
self
.
outputs
)
^
\
hash_listsDictsTuples
(
self
.
seqs_taps
)
^
\
hash_listsDictsTuples
(
self
.
seqs_taps
)
^
\
...
...
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