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Mesh TensorFlow - Model Parallelism Made Easier

Mesh TensorFlow (mtf) is a language for distributed deep learning, capable of specifying a broad class of distributed tensor computations. The purpose of Mesh TensorFlow is to formalize and implement distribution strategies for your computation graph over your hardware/processors. For example: Split the batch over rows of processors and split the units in the hidden layer across columns of processors. Mesh TensorFlow is implemented as a layer over TensorFlow.

Version: License: Apache-2 GitHub
Maintainers No Maintainer
Categories python
Platforms darwin
  • universal (Build for multiple architectures)

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