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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/12/02 07:16:38 UTC

[GitHub] ptrendx commented on issue #13471: Optimization of metric evaluation

ptrendx commented on issue #13471: Optimization of metric evaluation
URL: https://github.com/apache/incubator-mxnet/pull/13471#issuecomment-443487099
 
 
   It does not avoid GIL, I just do less work in Python -
    - topk evaluation using numpy argpartition vs argsort is faster (and you don't need to do full sort to get top k elements)
    - currently metrics are calculated twice during training to get both local and per-epoch results - this PR makes it so they are evaluated once, and the result is used for both per-batch and per epochs statistics.

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