[
https://issues.apache.org/jira/browse/SINGA-70?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
wangwei updated SINGA-70:
-------------------------
Summary: Refactor API of Layer, Worker, Server and Driver (was: Refactor
layer API to move srclayer into the arg list of ComputeFeature/Gradient func)
> Refactor API of Layer, Worker, Server and Driver
> ------------------------------------------------
>
> Key: SINGA-70
> URL: https://issues.apache.org/jira/browse/SINGA-70
> Project: Singa
> Issue Type: Improvement
> Reporter: wangwei
>
> Currently, each layer manages its own source and destination layers.
> *ComputeFeature* and *ComputeGradient* functions get data from *srclayer_*.
> There are two problems for this design,
> * Layer is in charge of feature transformation, who should not be involved in
> the network topology management like managing the srclayer_ filed.
> * The API of layer functions are not elegant. Every layer computes features
> (or gradient) based on its connected layer. Hence the connection layers
> (i.e., srclayers) should be provided as one argument.
> If we move the srclayer to the function argument list, then the layer class
> would be more modular. The neural net topology can be managed by the
> NeuralNet class.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
