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Easy distributed TensorFlow on Hops Hadoop

Project description

yarntf simplifies the distributed TensorFlow submit model, for running machine learning applications on Hadoop YARN clusters.

User Guide

In general it is as simple as follows.

  1. In your code: replace tf.train.ClusterSpec() and tf.train.Server() with yarntf.createClusterServer()
  2. On your cluster: submit the application with Hops-TensorFlow

Your ClusterSpec is generated automaticaly and the parameter servers stopped when all workers are completed. Specify the number of worker, ps and resources on submit.

For more details see the examples.

Work In Progress

Development is still in an early stage. Contributions are very welcome!

License

yarntf and Hops-TensorFlow is released under an Apache 2.0 license.

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