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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/04/21 17:00:05 UTC
[GitHub] [incubator-mxnet] pengwangucla edited a comment on issue #8458:
Synchronized Batch normalization in multi GPUs training
pengwangucla edited a comment on issue #8458: Synchronized Batch normalization in multi GPUs training
URL: https://github.com/apache/incubator-mxnet/issues/8458#issuecomment-485266722
> The SyncBN does reduce the speed due to synchronization for every BN layer during both forward and backward. Use it only when it is necessary, especially on computation intensive task such as semantic segmentation or object detection where the synchronization is not a huge bottleneck comparing to the computation.
Thanks for the reply, I understand it reduces the speed as I observed, but it also reduces the accuracy from a pretrained se-net. I wonder whether you have tried it using symbol API ? Thanks
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