You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@singa.apache.org by wa...@apache.org on 2016/01/15 12:37:00 UTC
svn commit: r1724777 - in /incubator/singa/site/trunk/content/markdown:
docs/installation_source.md docs/programmer-guide.md downloads.md
releases/RELEASE_NOTES_0.2.0.md
Author: wangwei
Date: Fri Jan 15 11:37:00 2016
New Revision: 1724777
URL: http://svn.apache.org/viewvc?rev=1724777&view=rev
Log:
Use diff and patch to be consistent with dbsystem/singa-docs
Removed:
incubator/singa/site/trunk/content/markdown/docs/programmer-guide.md
Modified:
incubator/singa/site/trunk/content/markdown/docs/installation_source.md
incubator/singa/site/trunk/content/markdown/downloads.md
incubator/singa/site/trunk/content/markdown/releases/RELEASE_NOTES_0.2.0.md
Modified: incubator/singa/site/trunk/content/markdown/docs/installation_source.md
URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/content/markdown/docs/installation_source.md?rev=1724777&r1=1724776&r2=1724777&view=diff
==============================================================================
--- incubator/singa/site/trunk/content/markdown/docs/installation_source.md (original)
+++ incubator/singa/site/trunk/content/markdown/docs/installation_source.md Fri Jan 15 11:37:00 2016
@@ -247,15 +247,14 @@ google.protobuf.internal when I try to i
then you just set your environment variable as
$ export LD_LIBRARY_PATH=/usr/local/lib64:$LD_LIBRARY_PATH
-
* Q10: When I build glog, it reports that "src/logging_unittest.cc:83:20: error: âgflagsâ is not a namespace-name"
A10: It maybe that you have installed gflags with a different namespace such as "google". so glog can't find 'gflags' namespace.
-
+
Because it doesn't require gflags to build glog. So you can change the configure.ac file to ignore gflags.
1. cd to glog src directory
2. change line 125 of configure.ac to "AC_CHECK_LIB(gflags, main, ac_cv_have_libgflags=0, ac_cv_have_libgflags=0)"
- 3. autoreconf
-
+ 3. autoreconf
+
After this, you can build glog again.
Modified: incubator/singa/site/trunk/content/markdown/downloads.md
URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/content/markdown/downloads.md?rev=1724777&r1=1724776&r2=1724777&view=diff
==============================================================================
--- incubator/singa/site/trunk/content/markdown/downloads.md (original)
+++ incubator/singa/site/trunk/content/markdown/downloads.md Fri Jan 15 11:37:00 2016
@@ -27,7 +27,16 @@
* [\[PGP\]](https://dist.apache.org/repos/dist/release/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.asc)
[\[MD5\]](https://dist.apache.org/repos/dist/release/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.md5)
[\[KEYS\]](https://dist.apache.org/repos/dist/release/incubator/singa/KEYS)
- * [Release Notes 0.1.0](releases/RELEASE_NOTES_0.1.0.html)
* [Amazon EC2 image](https://console.aws.amazon.com/ec2/v2/home?region=ap-southeast-1#LaunchInstanceWizard:ami=ami-b41001e6)
+ * [Release Notes 0.1.0](releases/RELEASE_NOTES_0.1.0.html)
+ * Major features include,
+ * Installation using GNU build utility
+ * Scripts for job management with zookeeper
+ * Programming model based on NeuralNet and Layer abstractions.
+ * System architecture based on Worker, Server and Stub.
+ * Training models from three different model categories, namely, feed-forward models, energy models and RNN models.
+ * Synchronous and asynchronous distributed training frameworks using CPU
+ * Checkpoint and restore
+ * Unit test using glog
<a name="old_releases"></a>
Modified: incubator/singa/site/trunk/content/markdown/releases/RELEASE_NOTES_0.2.0.md
URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/content/markdown/releases/RELEASE_NOTES_0.2.0.md?rev=1724777&r1=1724776&r2=1724777&view=diff
==============================================================================
--- incubator/singa/site/trunk/content/markdown/releases/RELEASE_NOTES_0.2.0.md (original)
+++ incubator/singa/site/trunk/content/markdown/releases/RELEASE_NOTES_0.2.0.md Fri Jan 15 11:37:00 2016
@@ -12,7 +12,7 @@ This release includes the following **ma
* [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/rnn.html) are implemented to support applications based on RNN models, e.g., GRU.
+* [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.md) includes Mesos, Docker and HDFS.