[jira] [Commented] (SINGA-65) Add an example of writing user-defined layers

["Lee Chonho (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SINGA-65?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14730181#comment-14730181 ] 

Lee Chonho commented on SINGA-65:
---------------------------------

Document should be revised accordingly.

For such example containing user-defined layers (and proto)
make sure to check the followings

- For layer type: built-in layer type is LayerType (integer), but user-defined layer type is string; and in job.conf, it is specified by user_type.
  e.g.,
  type: kMnist                    <---- kMnist is defined in job.proto
  user_type: "kHidden"      <---- "kHidden" is registered in main.cc

- To specify user-defined proto in job.conf, you need square-brackets
  e.g.,
  [singa.hidden_conf]        <---- refer to myproto.proto  
  
how to run
bin/singa-run.sh -exec examples/mlp/mlp.bin -conf examples/mlp/job.conf  (or deep.conf)

> Add an example of writing user-defined layers
> ---------------------------------------------
>
>                 Key: SINGA-65
>                 URL: https://issues.apache.org/jira/browse/SINGA-65
>             Project: Singa
>          Issue Type: New Feature
>            Reporter: wangwei
>
> SINGA's code has been modularized to support user extension.
> This ticket creates a full example of writing training using user defined layers.
> This example has the same neural net as the deep MLP example for digits recognition over the MNIST dataset. Instead of using the built-in InnerProductLayer and STanhLayer, we create a HiddenLayer as user-defined layer which applies inner-product and scaled Tanh transformations together.
> Makefile.example is provided to compile and link user code.



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