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ASF subversion and git services commented on SINGA-199: ------------------------------------------------------- Commit 7333517b492c49b9fcde22998063b84f98178fe3 in incubator-singa's branch refs/heads/dev from [~flytosky] [ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=7333517 ] SINGA-199 Implement Python classes for SGD optimizers Add regularizer and constraint python classes and all C++ optimizers. Add swig files for optimzier and test_optimzier.py; add intializer.py commit from @aaronwwf - change module name from 'singa' to 'singa_wrap' - fix model_optimizer.i naming mistake Fix all bugs; Changed the CnMemPool's initialized and mtx fields to be class members. Add a global counter to check the CnMemPool instance numbers (which must be less than 2). CnMemPool must be used as a singleton, because cnmemInit can only be called once. Python unittest may run test cases in parallel, in which case we need to create cuda devices outside of test cases. > Implement Python classes for SGD optimizers > ------------------------------------------- > > Key: SINGA-199 > URL: https://issues.apache.org/jira/browse/SINGA-199 > Project: Singa > Issue Type: New Feature > Reporter: wangwei > Assignee: wangwei > > This ticket is going to add the python binding classes and functions for > optimization (e.g, sgd) algorithms which are now implemented in C++. -- This message was sent by Atlassian JIRA (v6.3.4#6332)