Author: buildbot
Date: Mon Aug 17 14:33:15 2015
New Revision: 962132
Log:
Staging update by buildbot for singa
Modified:
websites/staging/singa/trunk/content/ (props changed)
websites/staging/singa/trunk/content/docs/cnn.html
Propchange: websites/staging/singa/trunk/content/
------------------------------------------------------------------------------
--- cms:source-revision (original)
+++ cms:source-revision Mon Aug 17 14:33:15 2015
@@ -1 +1 @@
-1696293
+1696294
Modified: websites/staging/singa/trunk/content/docs/cnn.html
==============================================================================
--- websites/staging/singa/trunk/content/docs/cnn.html (original)
+++ websites/staging/singa/trunk/content/docs/cnn.html Mon Aug 17 14:33:15 2015
@@ -451,10 +451,28 @@
<ul>
-<li>
-<p>All script of SINGA should be run in the root folder of SINGA. First you
need to start the zookeeper service if zookeeper is not started. The command is
<tt>./bin/zk-service start</tt>. Then you can run the command
<tt>./bin/singa-run.sh -conf examples/cifar10/job.conf</tt> 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:</p>
-<p><a class="externalLink"
href="mailto:xxx@yyy:zzz/incubator-singa$";>xxx@yyy:zzz/incubator-singa$</a>
./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 : 0.1
56250 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</p></li>
+<li>All script of SINGA should be run in the root folder of SINGA. First you
need to start the zookeeper service if zookeeper is not started. The command is
<tt>./bin/zk-service start</tt>. Then you can run the command
<tt>./bin/singa-run.sh -conf examples/cifar10/job.conf</tt> 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:</li>
</ul>
+
+<div class="source">
+<div class="source"><pre class="prettyprint"> 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
+</pre></div></div>
<p>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 <a class="externalLink"
href="http://singa.incubator.apache.org/docs/checkpoint.html";>Checkpoint</a>
for the use of checkpoint.</p></div>
<div class="section">
<h3><a name="Build_your_own_model"></a>Build your own model</h3>
