[Maintenance] Fix docker images by pinning ray==2.3.1, daft==0.1.20, unpinning proto, and using torch 2.1.1.

ludwig-ai / ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

http://ludwig.ai

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[Maintenance] Fix docker images by pinning ray==2.3.1, daft==0.1.20, unpinning proto, and using torch 2.1.1. #3872

Closed justinxzhao closed 8 months ago

github-actions[bot] commented 8 months ago

Unit Test Results

  6 files ±0   6 suites ±0 14m 5s :stopwatch: -12s 12 tests ±0   9 :heavy_check_mark: ±0   3 :zzz: ±0 0 :x: ±0 60 runs ±0 42 :heavy_check_mark: ±0 18 :zzz: ±0 0 :x: ±0

Results for commit dec8fe24. ± Comparison against base commit b0d11a0e.

:recycle: This comment has been updated with latest results.

arnavgarg1 commented 8 months ago

Nice @justinxzhao! Looks like most of this is passing - we may need to just be less strict with the minimum Ray version. I'm currently trying to build an image with it - if it works, I can push that change up!