piyushghai commented on a change in pull request #11626: [MXNET-651] MXNet 
Model Backwards Compatibility Checker
URL: https://github.com/apache/incubator-mxnet/pull/11626#discussion_r201795191
 
 

 ##########
 File path: 
tests/nightly/model_backwards_compatibility_check/train_mxnet_legacy_models.sh
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 @@ -0,0 +1,57 @@
+#!/usr/bin/env bash
+
+# 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.
+
+#Author: Piyush Ghai
+
+run_models() {
+       echo '=========================='
+       echo "Running training files and preparing models"
+       echo '=========================='
+       python mnist_mlp_module_api_train.py
 
 Review comment:
   Also, the training script would not be a part of nightly runs. It will only 
be run when a new version of MXNet is released in order to refresh the trained 
models inventory on S3. 
   This run can either be manual or automated by editing the 
train_mxnet_legacy_models.sh script. 
   So any random dataset unavailability issues should not block the nightly 
inference files. 

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