You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@singa.apache.org by bu...@apache.org on 2016/01/11 12:56:29 UTC
svn commit: r977472 - in /websites/staging/singa/trunk/content: ./
downloads.html
Author: buildbot
Date: Mon Jan 11 11:56:28 2016
New Revision: 977472
Log:
Staging update by buildbot for singa
Modified:
websites/staging/singa/trunk/content/ (props changed)
websites/staging/singa/trunk/content/downloads.html
Propchange: websites/staging/singa/trunk/content/
------------------------------------------------------------------------------
--- cms:source-revision (original)
+++ cms:source-revision Mon Jan 11 11:56:28 2016
@@ -1 +1 @@
-1724001
+1724011
Modified: websites/staging/singa/trunk/content/downloads.html
==============================================================================
--- websites/staging/singa/trunk/content/downloads.html (original)
+++ websites/staging/singa/trunk/content/downloads.html Mon Jan 11 11:56:28 2016
@@ -322,31 +322,19 @@
<ul>
<li>Latest code: please clone the latest code from <a class="externalLink" href="https://github.com/apache/incubator-singa">Github</a></li>
-
-<li>v0.2.0-RC1 (7 January 2016):
-
-<ul>
-
-<li><a class="externalLink" href="https://dist.apache.org/repos/dist/dev/incubator/singa/0.2.0/apache-singa-incubating-0.2.0-RC1.tar.gz">Apache SINGA 0.2.0</a> <a class="externalLink" href="https://dist.apache.org/repos/dist/dev/incubator/singa/0.2.0/apache-singa-incubating-0.2.0-RC1.tar.gz.md5">[MD5]</a> <a class="externalLink" href="https://dist.apache.org/repos/dist/dev/incubator/singa/0.2.0/apache-singa-incubating-0.2.0-RC1.tar.gz.sha256">[SHA256]</a> <a class="externalLink" href="https://dist.apache.org/repos/dist/dev/incubator/singa/0.2.0/KEYS">[KEYS]</a></li>
-
-<li><a href="releases/RELEASE_NOTES_0.2.0.html">Release Notes 0.2.0</a></li>
-
-<li>New features and major updates,
-
-<ul>
-
-<li><a href="docs/gpu.html">Training on GPU</a> enables training of complex models on a single node with multiple GPU cards.</li>
-
-<li><a href="docs/hybrid.html">Hybrid neural net partitioning</a> supports data and model parallelism at the same time.</li>
-
-<li><a href="docs/python.html">Python wrapper</a> makes it easy to configure the job, including neural net and SGD algorithm.</li>
-
-<li><a href="docs/rnn.html">RNN model and BPTT algorithm</a> are implemented to support applications based on RNN models, e.g., GRU.</li>
-
-<li><a href="docs/distributed-training.html">Cloud software integration</a> includes Mesos, Docker and HDFS.</li>
- </ul></li>
- </ul></li>
</ul>
+<!-- * v0.2.0-RC1 (7 January 2016):
+ * [Apache SINGA 0.2.0](https://dist.apache.org/repos/dist/dev/incubator/singa/0.2.0/apache-singa-incubating-0.2.0-RC1.tar.gz)
+ [\[MD5\]](https://dist.apache.org/repos/dist/dev/incubator/singa/0.2.0/apache-singa-incubating-0.2.0-RC1.tar.gz.md5)
+ [\[SHA256\]](https://dist.apache.org/repos/dist/dev/incubator/singa/0.2.0/apache-singa-incubating-0.2.0-RC1.tar.gz.sha256)
+ [\[KEYS\]](https://dist.apache.org/repos/dist/dev/incubator/singa/0.2.0/KEYS)
+ * [Release Notes 0.2.0](releases/RELEASE_NOTES_0.2.0.html)
+ * New features and major updates,
+ * [Training on GPU](docs/gpu.html) enables training of complex models on a single node with multiple GPU cards.
+ * [Hybrid neural net partitioning](docs/hybrid.html) supports data and model parallelism at the same time.
+ * [Python wrapper](docs/python.html) makes it easy to configure the job, including neural net and SGD algorithm.
+ * [RNN model and BPTT algorithm](docs/general-rnn.html) are implemented to support applications based on RNN models, e.g., GRU.
+ * [Cloud software integration](docs/distributed-training.html) includes Mesos, Docker and HDFS. -->
<ul>