[GitHub] [submarine] featherchen commented on a change in pull request #700: SUBMARINE-901. Tensorflow distributed training example with model management API

[GitBox <gi...@apache.org>]

featherchen commented on a change in pull request #700:
URL: https://github.com/apache/submarine/pull/700#discussion_r694223674



##########
File path: dev-support/examples/dp-tf/distribution.py
##########
@@ -0,0 +1,109 @@
+"""
+ 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.
+"""
+
+from submarine import ModelsClient
+import tensorflow_datasets as tfds
+import tensorflow as tf
+import os
+import tensorboard
+
+print(tf.__version__)
+
+datasets, info = tfds.load(name='mnist', with_info=True, as_supervised=True)
+mnist_train, mnist_test = datasets['train'], datasets['test']
+
+strategy = tf.distribute.MirroredStrategy()

Review comment:
       @pingsutw  Thanks for the review, I have done some updates, and I was wondering that if you can give me some advise of parameter server and hdfs, I still can't find the way to put them together.   
   




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