[GitHub] zihaolucky commented on issue #7341: Usage of Tensorboard in Distributed MXNet

[gi...@git.apache.org]

zihaolucky commented on issue #7341: Usage of Tensorboard in Distributed MXNet
URL: https://github.com/apache/incubator-mxnet/issues/7341#issuecomment-320414116
 
 
   @LakeCarrot Here is an example https://github.com/apache/incubator-mxnet/blob/master/python/mxnet/contrib/tensorboard.py in which we use the callback to log training/eval metrics.
   
   In functionality, I suppose the usage of TensorBoard would have no difference than in TensorFlow, as we just write something to the event file. So if you want to log/monitor the overall learning process, I think you should dive into the logging mechanism of MXNet. 
   
   But I haven't try distributed MXNet before, I'm not sure whether the example above could help. It depends on how these metrics are aggregated and computed, and where the event file is.
 
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