Author: jinyang
Date: Mon Aug 17 14:32:57 2015
New Revision: 1696294
URL: http://svn.apache.org/r1696294
Log:
CMS commit to singa by jinyang
Modified:
incubator/singa/site/trunk/content/markdown/docs/cnn.md
Modified: incubator/singa/site/trunk/content/markdown/docs/cnn.md
URL:
http://svn.apache.org/viewvc/incubator/singa/site/trunk/content/markdown/docs/cnn.md?rev=1696294&r1=1696293&r2=1696294&view=diff
==============================================================================
--- incubator/singa/site/trunk/content/markdown/docs/cnn.md (original)
+++ incubator/singa/site/trunk/content/markdown/docs/cnn.md Mon Aug 17 14:32:57
2015
@@ -37,23 +37,25 @@ First you need to start the zookeeper se
Then you can run the command `./bin/singa-run.sh -conf
examples/cifar10/job.conf` to start a SINGA job using examples/cifar10/job.conf
as the job configuration.
After it is started, you should get a screenshots like the following:
- xxx@yyy:zzz/incubator-singa$ ./bin/singa-run.sh -conf
examples/cifar10/job.conf
- Unique JOB_ID is 2
- Record job information to /tmp/singa-log/job-info/job-2-20150817-055601
- Executing : ./singa -conf /xxx/incubator-singa/examples/cifar10/job.conf
-singa_conf /xxx/incubator-singa/conf/singa.conf -singa_job 2
- E0817 06:56:18.868259 33849 cluster.cc:51] proc #0 -> 192.168.5.128:49152
(pid = 33849)
- E0817 06:56:18.928452 33871 server.cc:36] Server (group = 0, id = 0) start
- E0817 06:56:18.928469 33872 worker.cc:134] Worker (group = 0, id = 0) start
- E0817 06:57:13.657302 33849 trainer.cc:373] Test step-0, loss : 2.302588,
accuracy : 0.077900
- E0817 06:57:17.626708 33849 trainer.cc:373] Train step-0, loss : 2.302578,
accuracy : 0.062500
- E0817 06:57:24.142645 33849 trainer.cc:373] Train step-30, loss :
2.302404, accuracy : 0.131250
- E0817 06:57:30.813354 33849 trainer.cc:373] Train step-60, loss :
2.302248, accuracy : 0.156250
- E0817 06:57:37.556655 33849 trainer.cc:373] Train step-90, loss :
2.301849, accuracy : 0.175000
- E0817 06:57:44.971276 33849 trainer.cc:373] Train step-120, loss :
2.301077, accuracy : 0.137500
- E0817 06:57:51.801949 33849 trainer.cc:373] Train step-150, loss :
2.300410, accuracy : 0.135417
- E0817 06:57:58.682281 33849 trainer.cc:373] Train step-180, loss :
2.300067, accuracy : 0.127083
- E0817 06:58:05.578366 33849 trainer.cc:373] Train step-210, loss :
2.300143, accuracy : 0.154167
- E0817 06:58:12.518497 33849 trainer.cc:373] Train step-240, loss :
2.295912, accuracy : 0.185417
+
+ xxx@yyy:zzz/incubator-singa$ ./bin/singa-run.sh -conf
examples/cifar10/job.conf
+ Unique JOB_ID is 2
+ Record job information to /tmp/singa-log/job-info/job-2-20150817-055601
+ Executing : ./singa -conf
/xxx/incubator-singa/examples/cifar10/job.conf -singa_conf
/xxx/incubator-singa/conf/singa.conf -singa_job 2
+ E0817 06:56:18.868259 33849 cluster.cc:51] proc #0 ->
192.168.5.128:49152 (pid = 33849)
+ E0817 06:56:18.928452 33871 server.cc:36] Server (group = 0, id = 0)
start
+ E0817 06:56:18.928469 33872 worker.cc:134] Worker (group = 0, id = 0)
start
+ E0817 06:57:13.657302 33849 trainer.cc:373] Test step-0, loss :
2.302588, accuracy : 0.077900
+ E0817 06:57:17.626708 33849 trainer.cc:373] Train step-0, loss :
2.302578, accuracy : 0.062500
+ E0817 06:57:24.142645 33849 trainer.cc:373] Train step-30, loss :
2.302404, accuracy : 0.131250
+ E0817 06:57:30.813354 33849 trainer.cc:373] Train step-60, loss :
2.302248, accuracy : 0.156250
+ E0817 06:57:37.556655 33849 trainer.cc:373] Train step-90, loss :
2.301849, accuracy : 0.175000
+ E0817 06:57:44.971276 33849 trainer.cc:373] Train step-120, loss :
2.301077, accuracy : 0.137500
+ E0817 06:57:51.801949 33849 trainer.cc:373] Train step-150, loss :
2.300410, accuracy : 0.135417
+ E0817 06:57:58.682281 33849 trainer.cc:373] Train step-180, loss :
2.300067, accuracy : 0.127083
+ E0817 06:58:05.578366 33849 trainer.cc:373] Train step-210, loss :
2.300143, accuracy : 0.154167
+ E0817 06:58:12.518497 33849 trainer.cc:373] Train step-240, loss :
2.295912, accuracy : 0.185417
+
After the training of some steps (depends on the setting) or the job is
finished, SINGA will checkpoint the current parameter. In the next time, you
can train (or use for your application) by loading the checkpoint. Please refer
to [Checkpoint](http://singa.incubator.apache.org/docs/checkpoint.html) for the
use of checkpoint.
