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Posted to dev@singa.apache.org by "Lee Chonho (JIRA)" <ji...@apache.org> on 2015/12/11 03:38:10 UTC
[jira] [Updated] (SINGA-81) Add Python Helper, which enables users
to construct a model (JobProto) and run Singa in Python
[ https://issues.apache.org/jira/browse/SINGA-81?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Lee Chonho updated SINGA-81:
----------------------------
Summary: Add Python Helper, which enables users to construct a model (JobProto) and run Singa in Python (was: Helper API, which enables users to construct JobProto in C++ and by Python binding)
> Add Python Helper, which enables users to construct a model (JobProto) and run Singa in Python
> ----------------------------------------------------------------------------------------------
>
> Key: SINGA-81
> URL: https://issues.apache.org/jira/browse/SINGA-81
> Project: Singa
> Issue Type: New Feature
> Reporter: Lee Chonho
>
> Proposed design v1
> - (1) have a class named Builder
> - (2) use Boost::parameter library (+ associated necessary header files)
> (1)
> Builder class implements api-like functions to configure JobProto including NetProto (LayerProto), ClusterProto, UpdaterProto, etc.
> Two options
> a. users call Builder's functions in main.cc like
> {code}
> JobProto jobproto;
> Builder builder( &jobproto, "job name" );
> builder.xxx(xxx) // add data layer
> builder.xxx(xxx) // add parser layer
> ... etc. ...
> {code}
> b. we set main.cc like below and users call Builders functions in Construct()
> {code}
> JobProto jobproto;
> Builder builder( &jobproto, "model name" );
> builder.Construct()
> {code}
> (2)
> Planning to use header-only files from Boost library
> - if the necessary files are small enough
> - because we can use "named arguments" feature with no restriction of # of arguments, order, types.
> - because function will be intuitive, and adding users' own proto in a straightforward way.
> Example is here. http://theboostcpplibraries.com/boost.parameter
> By following the example, we can do like
> {code}
> BOOST_PARAMETER_MEMBER_FUNCTION(
> (char*), AddLayerData, tag,
> (required
> (type, (int)) (name, (char*)) (src, (char*))
> )
> (optional
> (path, (char*), *) (bsize (int) *)
> ) )
> {
> ... // set values
> return name;
> }
> {code}
> Then, users can add a datalayer by
> {code}
> L1 = builder.AddLayerData(kShardData, "data", null, _path="train_shard", _bsize=1000);
> {code}
> (TODO)
> - make use of google protobuf reflection for efficient parameter setting
> - need to avoid multiple calls for adding same/similar layers
> Any suggestion, design idea, comments please.
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