Provides differentiable communication primitives such as Send/Recv/Gather etc for pytorch. Autograd can backpropagate through those, making distributed model parallel models easy to implement.

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License: GNU General Public License v3 or later (GPLv3+) (GNU GPLv3)

Author: Andreas Georgiou

Tags torch, distributed, autograd, model, parallel, differentiable, backpropagate

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License: GNU General Public License v3 or later (GPLv3+) (GNU GPLv3)

Author: Andreas Georgiou

Tags torch, distributed, autograd, model, parallel, differentiable, backpropagate

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