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testgroup
pytensor
Commits
88cc4d7e
提交
88cc4d7e
authored
7月 16, 2012
作者:
Eric Larsen
提交者:
Frederic
7月 24, 2012
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差异文件
addition of time-profiling mode to unittest processing apparatus
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2 个修改的文件
包含
80 行增加
和
11 行删除
+80
-11
theano-nose
bin/theano-nose
+80
-11
run_tests_in_batch.py
theano/tests/run_tests_in_batch.py
+0
-0
没有找到文件。
bin/theano-nose
浏览文件 @
88cc4d7e
#!/usr/bin/env python
__authors__
=
"Olivier Delalleau, Pascal Lamblin"
__authors__
=
"Olivier Delalleau, Pascal Lamblin
, Eric Larsen
"
__contact__
=
"delallea@iro"
"""
...
...
@@ -13,10 +13,40 @@ It is also used to load the KnownFailure plugin, in order to hide
KnownFailureTests error messages. Use --without-knownfailure to
disable that plugin.
If the --batch option is used, it will call `run_tests_in_batch.py`,
in order to run the tests by batches, not all at the same time.
`run_tests_in_batch.py` will in turn call back this script in another
process.
There are two additonal local options: '--batch[n=x]' and '--time-profile'.
If '--batch[n=x]' is used without '--time-profile', this script will call
run_tests_in_batch.py` in order to run the tests by batches, not all at the
same time. `run_tests_in_batch.py` will in turn call back this script in
another process. The batches will comprise 100 elements each by default and
x elements if the option 'n=x' is specified.
If the '--time-profile' option is used, it will call `run_tests_in_batch.py`
with the option time_profile=True to conduct time-profiling of the tests: Each
test will be run and timed separately and the results will be deposited in the
files 'timeprof_sort' and 'timeprof_nosort' whose location is specified in
`run_tests_in_batch.py`. If the '--batch n=x' option is also specified,
notification of the progresses will be made to standard output after every
group of x tests. Otherwise, notification will occur after every group of 100
tests.
The files 'timeprof_sort' and 'timeprof_nosort' both contain one record for
each test and comprise the following fields:
- test running-time
- nosetests sequential test number
- test name
- name of class to which test belongs (if any), otherwise full
information is contained in test name
- test outcome ('OK' or 'FAILED')
In 'timeprof_sort', test records are sorted according to running-time whereas in
'timeprof_nosort' records are sorted according to sequential number. The former
classification is the main information source for time-profiling. Since tests
belonging to same or close classes and files have close sequential numbers, the
latter may be used to identify duration patterns among the tests. A full log is
also saved as 'timeprof_rawlog''.
"""
import
logging
...
...
@@ -33,7 +63,6 @@ def main():
batch_args
=
[
arg
for
arg
in
sys
.
argv
if
arg
.
startswith
(
'--batch'
)]
for
arg
in
batch_args
:
sys
.
argv
.
remove
(
arg
)
if
len
(
batch_args
):
if
len
(
batch_args
)
>
1
:
_logger
.
warn
(
...
...
@@ -48,8 +77,19 @@ def main():
# Use run_tests_in_batch's default
batch_size
=
None
# Handle --time_prof arguments
time_prof_args
=
[
arg
for
arg
in
sys
.
argv
if
arg
==
'--time-profile'
]
for
arg
in
time_prof_args
:
sys
.
argv
.
remove
(
arg
)
# Time-profiling and batch modes
from
theano.tests
import
run_tests_in_batch
return
run_tests_in_batch
.
main
(
batch_size
=
batch_size
)
if
len
(
time_prof_args
)
and
len
(
batch_args
):
return
run_tests_in_batch
.
main
(
batch_size
=
batch_size
,
time_profile
=
True
)
elif
len
(
time_prof_args
):
return
run_tests_in_batch
.
main
(
batch_size
=
None
,
time_profile
=
True
)
elif
len
(
batch_args
):
return
run_tests_in_batch
.
main
(
batch_size
=
batch_size
,
time_profile
=
False
)
# Non-batch mode.
addplugins
=
[]
...
...
@@ -77,11 +117,40 @@ def help():
KnownFailure plugin, in order to hide KnownFailureTests error
messages. It also supports executing tests by batches.
Options:
Local options:
--batch[=n]:
If specified without option '--time-profile'', do not run all
the tests in one run, but split the execution in batches of
`n` tests each. Default n is 100.
--time-profile:
Each test will be run and timed separately and the results will
be deposited in the files 'timeprof_sort' and 'timeprof_nosort'
whose location is specified in 'run_tests_in_batch.py`. If the
'--batch n=x' option is also specified, notification of the
progresses will be made to standard output after every group of
x tests. Otherwise, notification will occur after every group
of 100 tests.
The files 'timeprof_sort' and 'timeprof_nosort' both contain one
record for each test and comprise the following fields:
- test running-time
- nosetests sequential test number
- test name
- name of class to which test belongs (if any), otherwise full
information is contained in test name
- name of class to which test belongs
- test outcome ('OK' or 'FAILED')
In 'timeprof_sort', test records are sorted according to
running-time whereas in 'timeprof_nosort' records are reported
according to sequential number. The former classification is the
main information source for time-profiling. Since tests belonging
to same or close classes and files have close sequential, the
latter may be used to identify duration patterns among the tests
numbers. A full log is also saved as 'timeprof_rawlog'.
--batch[=n]: Do not run all the tests in one run, but split
the execution in batches of `n` tests each.
Default n is 100.
--help, -h: Displays this help.
...
...
theano/tests/run_tests_in_batch.py
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88cc4d7e
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