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Roadmap
vfdev edited this page Jul 14, 2020
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This document lists general directions that core team is interested to see developed in PyTorch-Ignite.
We are using Github Projects to define our different goals: releases, particular milestones etc.
- continue maintaining high-quality, well-tested and documented modules.
- provide XLA (e.g. TPU) support
- provide Horovod distributed framework support inside
idist
- provide new higher-level API based on
Engine
to simplify the usage while keeping flexibility as a contrib module - provide more intergrations with other tools to simplify Machine/Deep Learning end-to-end applications.
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