chrishkchris commented on pull request #765:
URL: https://github.com/apache/singa/pull/765#issuecomment-657953375


   > Hi @chrishkchris , after latest commit, testing softmax is ok. But a side 
note is that, some test are not correctly label when compiling with DNNL OFF, 
thus some test failed. is it the case?
   
   This PR fix two things:
   1. c++ test: add back the kernal without DNNL: (i) if USE_DNNL=ON, use DNNL 
softmax kernal, if USE_DNNL=OFF, use the old kernal. Both can pass the test 
cases. The test was failed just because it did not have the kernal for the test
   
   2. fix python test cases but those are not related to DNNL, for example, in 
opt_test.py:  
   `sgd1.apply(w, w, g)` should be `sgd1.apply(w.name, w, g)` , the first 
argument is name
   
   
   


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