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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/05/02 00:10:51 UTC

[GitHub] leezu commented on issue #10768: Use numpy in RandomSampler

leezu commented on issue #10768: Use numpy in RandomSampler
URL: https://github.com/apache/incubator-mxnet/pull/10768#issuecomment-385826952
 
 
   It doesn't perform well. At least not with the naive approach of:
   
   ```
   ...: def sample(length):
       ...:     indices = mx.nd.arange(length)
       ...:     mx.nd.random.shuffle(indices)
       ...:     return (indices[i].asscalar() for i in range(indices.shape[0]))
   
   ```
   
   What did you have in mind?

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