wangwei created SINGA-70:
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Summary: Refactor layer API to move srclayer into the arg list of
ComputeFeature/Gradient func
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.
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