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v1.3.0

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@divrawal divrawal released this 02 Aug 20:07
· 64 commits to main since this release
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What's Changed

  • Add boilerplate code for Dataflux-Pytorch Lightning demo by @abhibyreddi in #57
  • Refactor Dataflux simple demo loops and add retry flags by @MattIrv in #59
  • Catch exception when loading arrays from raw bytes fails by @abhibyreddi in #38
  • Implement data module for the pytorch lightning workload by @abhibyreddi in #60
  • Update default retry config to match successful 1k-node benchmarks. by @MattIrv in #63
  • Lightning text by @jdnurme in #64
  • add limit_train_batches param by @jdnurme in #65
  • Make it possible to deploy Pytorch Lightning image segmentation workload on a Ray cluster. by @abhibyreddi in #66
  • Update demo loops to configure multiprocessing start method by @MattIrv in #68
  • For mac and windows skip passing client storage to avoid pickling error in multiprocessing by @akansha1812 in #67
  • Disable compose download when create and delete permissions are missing by @akansha1812 in #70
  • Continuous test which installs gcs-torch-dataflux from PyPi and runs integration test. by @akansha1812 in #71
  • Added lightning package to setup file and updated version for re… by @divrawal in #69

New Contributors

Full Changelog: v1.2.0...v1.3.0