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Posted to issues@mxnet.apache.org by GitBox <gi...@apache.org> on 2021/02/25 03:59:55 UTC

[GitHub] [incubator-mxnet] MrChengmo edited a comment on issue #19949: DistributeTraining throw "dmlc::Error" when using nn.Embedding(sparse_grad=True)

MrChengmo edited a comment on issue #19949:
URL: https://github.com/apache/incubator-mxnet/issues/19949#issuecomment-785559171


   > Do you observe the Storage fallback also on single machine? Or does it only occur in the distributed setting?
   
   - Set `kv_store="local"` & `nn.Embedding(sparse_gard)`,  works well on single machine (distributed_traing=False), use command `python -u train.py `.
   - Set `kv_store="dist_async"` & `nn.Embedding(sparse_gard)`,  set `distributed_traing=True`, use command `bash local_cluster.sh` to simulate distributed training， throw error


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