[
https://issues.apache.org/jira/browse/SINGA-106?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15041487#comment-15041487
]
ASF subversion and git services commented on SINGA-106:
-------------------------------------------------------
Commit 4664b6bb351c6a48a19c52b5c559dde76bf3002b in incubator-singa's branch
refs/heads/master from WANG Sheng
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=4664b6b ]
SINGA-106 Add dummy layer for test purpose
Dummy layer can be used as input, neuron, output layer to construct a simple
neuralnet when only focusing on testing a specific layer
* Use as neuron layer (default):
In compute feautre, it copy srclayer's data to its own data blob
In compute feature, it copy its own grad blob to srclayer's grad
* Use as input layer:
It will create data and config blobs as configed.
In compute feature, it randomly set values in data_ to [0,1]
To use:
- set dummy_conf.input as true
- add dummy_conf.shape
* Use as output layer:
In compute feature, it randomly set values in grad_ to [0,1]
To use:
- set dummy_conf.output as true
> Add dummy layer for test purpose
> --------------------------------
>
> Key: SINGA-106
> URL: https://issues.apache.org/jira/browse/SINGA-106
> Project: Singa
> Issue Type: New Feature
> Reporter: Sheng Wang
> Priority: Minor
>
> Add a dummy layer can make gtest much easier to support layer unit test.
> The dummy layer can be used as input layer, neuron layer or output layer to
> construct a complete neuralnet, when we only focusing on testing a specific
> layer.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
