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TF-Replicator: Distributed Machine Learning for Researchers
[article]
2019
arXiv
pre-print
We describe TF-Replicator, a framework for distributed machine learning designed for DeepMind researchers and implemented as an abstraction over TensorFlow. TF-Replicator simplifies writing data-parallel and model-parallel research code. The same models can be effortlessly deployed to different cluster architectures (i.e. one or many machines containing CPUs, GPUs or TPU accelerators) using synchronous or asynchronous training regimes. To demonstrate the generality and scalability of
arXiv:1902.00465v1
fatcat:2ihyygokh5c2foqyxyxcxqjhia