HaoLiuHust opened a new issue #13670: How to train a model with huge classes URL: https://github.com/apache/incubator-mxnet/issues/13670 for example, I am training a face recognition model with millions ids, beside use tripletloss, I would like to use softmax-based losses such as arcloss, amsoftmax and so on. However, with such huge classes, gpu meomery will be insufficient, is there a way that I can train a model like this? Maybe split the softmax layer on multi gpus would be work, I wonder whether mxnet support this. Or can I put this part on cpu, and other layers on gpus
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