eric-haibin-lin commented on a change in pull request #10536: [MXNET-317] Add 
Data Parallel
URL: https://github.com/apache/incubator-mxnet/pull/10536#discussion_r181257221
 
 

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 File path: python/mxnet/gluon/contrib/parallel.py
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+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+# pylint : disable=broad-except
+"""Synchronized DataParallel"""
+import threading
+from ... import autograd
+from ...ndarray import NDArray
+from ..utils import split_and_load
+
+__all__ = ['DataParallel', 'Barrier', 'parallel_apply', 'split_kwargs']
 
 Review comment:
   Maybe we don't want to include "Barrier" in `__all__` and display it on the 
API doc.  For sparse I'm considering adding & exposing a wrapper around Barrier 
so that users only need to pass in indices and get weights. Normally I don't 
think ppl need to see Barrier. SyncBN can still access it by parallel.Barrier

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