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Mesh TensorFlow - Model Parallelism Made EasierMesh 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: 0.1.18.20210305 License: Apache-2
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| Maintainers | No Maintainer |
| Categories | python |
| Homepage | https://github.com/tensorflow/mesh |
| Platforms | any |
| Variants | - |
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Error: livecheck failed for py-mesh-tensorflow: extracted version 'e6798a2610a2c2f4c4cd236d8214422cb1ecc00a' is older than livecheck.version '441ff477dcff8fc577eb59019007e55a278c87d6'
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