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.
In your code: replace tf.train.ClusterSpec() and tf.train.Server() with yarntf.createClusterServer()
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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