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Add Ray backend to Ray hyperopt #1269

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merged 111 commits into from
Oct 13, 2021
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@Yard1 Yard1 commented Aug 24, 2021

Code Pull Requests

#1262

This PR adds an option to use the Ray Horovod backend with Ray Tune Hyperopt executor. Support for dynamic resource allocation is also included. Furthermore, this PR adds support for Durable Trainables which are automatically used by Ray Tune if the output directory is a remote filesystem.

This PR is (unfortunately) quite extensive. Feedback is very welcome!

Requires ray-project/ray#18318 and horovod/horovod#3134

@tgaddair tgaddair added this to In review in Ray Oct 10, 2021
@tgaddair tgaddair merged commit 8545f51 into ludwig-ai:master Oct 13, 2021
Ray automation moved this from In review to Done Oct 13, 2021
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