aaronmarkham commented on a change in pull request #13647: Update lip reading 
example
URL: https://github.com/apache/incubator-mxnet/pull/13647#discussion_r244111483
 
 

 ##########
 File path: example/gluon/lipnet/utils/multi.py
 ##########
 @@ -0,0 +1,104 @@
+# 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.
+
+"""
+Module: preprocess with multi-process
+"""
+
+
+def multi_p_run(tot_num, _func, worker, params, n_process):
+    """
+    Run _func with multi-process using params.
+    """
+    from multiprocessing import Process, Queue
+    out_q = Queue()
+    procs = []
+
+    split_num = split_seq(list(range(0, tot_num)), n_process)
+
+    print(tot_num, ">>", split_num)
+
+    split_len = len(split_num)
+    if n_process > split_len:
+        n_process = split_len
+
+    for i in range(n_process):
+        _p = Process(target=_func,
+                     args=(worker, split_num[i][0], split_num[i][1],
+                           params, out_q))
+        _p.daemon = True
+        procs.append(_p)
+        _p.start()
+
+    try:
+        result = []
+        for i in range(n_process):
+            result.append(out_q.get())
+        for i in procs:
+            i.join()
+    except KeyboardInterrupt:
+        print('Killing all the childer in the pool.')
 
 Review comment:
   ```suggestion
           print('Killing all the children in the pool.')
   ```
   Sounds ominous...

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