[GitHub] ykim362 commented on issue #7931: MKL-DNN integration: request for reviews

2017-11-07 Thread GitBox
ykim362 commented on issue #7931: MKL-DNN integration: request for reviews
URL: https://github.com/apache/incubator-mxnet/pull/7931#issuecomment-342644868
 
 
   @sbodenstein From my understanding, this PR is not going to be directly 
merged. It's going to be merged with another revision with sparse tensor (mkl 
storage). @piiswrong Is this correct?


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[GitHub] ykim362 commented on issue #7931: MKL-DNN integration: request for reviews

2017-10-30 Thread GitBox
ykim362 commented on issue #7931: MKL-DNN integration: request for reviews
URL: https://github.com/apache/incubator-mxnet/pull/7931#issuecomment-340521591
 
 
   @piiswrong @szha @sbodenstein MKL-DNN now officially supports OSX. So, we 
don't need to worry about this issue.
   https://github.com/01org/mkl-dnn/releases/tag/v0.11


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[GitHub] ykim362 commented on issue #7931: MKL-DNN integration: request for reviews

2017-10-19 Thread GitBox
ykim362 commented on issue #7931: MKL-DNN integration: request for reviews
URL: https://github.com/apache/incubator-mxnet/pull/7931#issuecomment-338058204
 
 
   @szha Sure, I am looking into it.


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[GitHub] ykim362 commented on issue #7931: MKL-DNN integration: request for reviews

2017-10-18 Thread GitBox
ykim362 commented on issue #7931: MKL-DNN integration: request for reviews
URL: https://github.com/apache/incubator-mxnet/pull/7931#issuecomment-337757546
 
 
   @szha @piiswrong MKL-DNN doesn't support fp64(double) data type. Do you 
think this is an issue? The library team is more focusing on adding lower 
precisions.


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[GitHub] ykim362 commented on issue #7931: MKL-DNN integration: request for reviews

2017-10-18 Thread GitBox
ykim362 commented on issue #7931: MKL-DNN integration: request for reviews
URL: https://github.com/apache/incubator-mxnet/pull/7931#issuecomment-337756563
 
 
   @piiswrong We have fixed convergence issue in Resnet. There were some 
problems in Conv and Batch norm layers. Also, we have added some more 
optimizations to get more speed-ups. Now, MKL-DNN version is 15% faster than 
MKLML (MKL2017) for inference and training on average.


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[GitHub] ykim362 commented on issue #7931: MKL-DNN integration: request for reviews

2017-10-05 Thread git
ykim362 commented on issue #7931: MKL-DNN integration: request for reviews
URL: https://github.com/apache/incubator-mxnet/pull/7931#issuecomment-334575075
 
 
   @eric-haibin-lin We are adding CI test same as MKLML.
 

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[GitHub] ykim362 commented on issue #7931: MKL-DNN integration: request for reviews

2017-09-18 Thread git
ykim362 commented on issue #7931: MKL-DNN integration: request for reviews
URL: https://github.com/apache/incubator-mxnet/pull/7931#issuecomment-330340158
 
 
   @piiswrong Yes, MKL-DNN build passes 'test_operator.py' unit test same as 
MKLML build. So, we are doing several experiments.
   
   @szha I will looks into it to replicate the MKLML case.
 

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[GitHub] ykim362 commented on issue #7931: MKL-DNN integration: request for reviews

2017-09-18 Thread git
ykim362 commented on issue #7931: MKL-DNN integration: request for reviews
URL: https://github.com/apache/incubator-mxnet/pull/7931#issuecomment-330319229
 
 
   @piiswrong MKL-DNN doesn't converge with Resnet. It converges with mnist. I 
am looking into it to find a root cause. MKLML works fine for both resnet and 
mnist.
 

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