svn commit: r1700761 - /incubator/singa/site/trunk/content/markdown/docs/data.md

[ji...@apache.org]

Author: jinyang
Date: Wed Sep  2 10:31:23 2015
New Revision: 1700761

URL: http://svn.apache.org/r1700761
Log:
move to apache site: edit the link

Modified:
    incubator/singa/site/trunk/content/markdown/docs/data.md

Modified: incubator/singa/site/trunk/content/markdown/docs/data.md
URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/content/markdown/docs/data.md?rev=1700761&r1=1700760&r2=1700761&view=diff
==============================================================================
--- incubator/singa/site/trunk/content/markdown/docs/data.md (original)
+++ incubator/singa/site/trunk/content/markdown/docs/data.md Wed Sep  2 10:31:23 2015
@@ -73,7 +73,6 @@ fields, which are different from the abo
     }
 {% endcomment %}
 
-
 ###  DataShard creation
 
 Users write code to convert their data into `Record`s and insert them into shards
@@ -114,6 +113,7 @@ following the subsequent steps.
 
         g++ create_shard.cc user.pb.cc -std=c++11 -lsinga \
           -ISINGA_ROOT/include -LSINGA_ROOT/.libs/ -Wl,-unresolved-symbols=ignore-in-shared-libs \
+
           -Wl,-rpath=SINGA_ROOT/.libs/  -o create_shard.bin
 
 
@@ -122,6 +122,7 @@ following the subsequent steps.
         ./create_shard.bin  <args>
 
 
+
 ### Example - CIFAR dataset
 
 This example uses the [CIFAR-10 image dataset](http://www.cs.toronto.edu/~kriz/cifar.html) collected by Alex Krizhevsky.
@@ -181,7 +182,7 @@ to convert images in the binary files in
     In addition, it computes average values (not shown here) of image pixels as another `Record`
     which is directly serialized into *SINGA_ROOT/USER_DATA/image_mean.bin*.
     The mean values will be used for preprocessing image features.
-    {% comment %}
+ 
         for (int itemid = 0; itemid < kCIFARBatchSize; ++itemid) {
           const string& pixels = image->pixel();
           for(int i=0; i<kCIFARImageNBytes; i++)
@@ -190,7 +191,6 @@ to convert images in the binary files in
         }
         for(int i=0; i<kCIFARImageNBytes; i++)
           mean.set_data(i, mean.data(i)/count);
-    {% endcomment %}
 
 4. Compile and run the program. SINGA provides an example Makefile that contains instructions
     for compiling the source code and linking it with *libsinga.so*. Users just execute the following command.
@@ -219,6 +219,7 @@ Data shards will be generated into *mnis
 
     $ make create
 
+
 ## LMDB
 
 To be filled soon.