nudles commented on a change in pull request #9: Documentation about 
computational graph
URL: https://github.com/apache/singa-doc/pull/9#discussion_r402349319
 
 

 ##########
 File path: docs-site/docs/graph.md
 ##########
 @@ -5,4 +5,412 @@ title: Computational Graph
 
 <!-- Licensed to the Apache Software Foundation (ASF) under one or more 
contributor license agreements.  See the NOTICE file distributed with this work 
for additional information regarding copyright ownership.  The ASF licenses 
this file to you under the Apache License, Version 2.0 (the "License"); you may 
not use this file except in compliance with the License.  You may obtain a copy 
of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by 
applicable law or agreed to in writing, software distributed under the License 
is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY 
KIND, either express or implied.  See the License for the specific language 
governing permissions and limitations under the License. -->
 
-SINGA supports buffering operation and computational graph.
+SINGA supports buffering operations and computational graph. Using 
computational graph, SINGA can schedule the execution of operations as well as 
the memory allocation and release. It makes training more efficient while using 
less memory.
+
+## Features
 
 Review comment:
   * it seem the prettier tool didn't format this markdown file..
   * I suggest to rearrange the content of this file
     1. explain what the computational graph is.  include an simple example 
figure?
     2. describe the features
     3. show the usage (example)
     4. present the experiment
     5. introduce the implementation (how the python code is executed at the 
CPP side, how the operations are buffered, and when and how they are executed) 
by referring to the example
     6. how to add a new operation.
   

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
[email protected]


With regards,
Apache Git Services

Reply via email to