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Bump pytorch-lightning from 2.0.7 to 2.0.8 #155

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merged 1 commit into from
Aug 31, 2023

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@dependabot dependabot bot commented on behalf of github Aug 31, 2023

Bumps pytorch-lightning from 2.0.7 to 2.0.8.

Release notes

Sourced from pytorch-lightning's releases.

Weekly patch release

App

Changed

  • Change top folder (#18212)
  • Remove _handle_is_headless calls in app run loop (#18362)

Fixed

  • refactor path to root preventing circular import (#18357)

Fabric

Changed

  • On XLA, avoid setting the global rank before processes have been launched as this will initialize the PJRT computation client in the main process (#16966)

Fixed

  • Fixed model parameters getting shared between processes when running with strategy="ddp_spawn" and accelerator="cpu"; this has a necessary memory impact, as parameters are replicated for each process now (#18238)
  • Removed false positive warning when using fabric.no_backward_sync with XLA strategies (#17761)
  • Fixed issue where Fabric would not initialize the global rank, world size, and rank-zero-only rank after initialization and before launch (#16966)
  • Fixed FSDP full-precision param_dtype training (16-mixed, bf16-mixed and 32-true configurations) to avoid FSDP assertion errors with PyTorch < 2.0 (#18278)

PyTorch

Changed

  • On XLA, avoid setting the global rank before processes have been launched as this will initialize the PJRT computation client in the main process (#16966)
  • Fix inefficiency in rich progress bar (#18369)

Fixed

  • Fixed FSDP full-precision param_dtype training (16-mixed and bf16-mixed configurations) to avoid FSDP assertion errors with PyTorch < 2.0 (#18278)
  • Fixed an issue that prevented the use of custom logger classes without an experiment property defined (#18093)
  • Fixed setting the tracking uri in MLFlowLogger for logging artifacts to the MLFlow server (#18395)
  • Fixed redundant iter() call to dataloader when checking dataloading configuration (#18415)
  • Fixed model parameters getting shared between processes when running with strategy="ddp_spawn" and accelerator="cpu"; this has a necessary memory impact, as parameters are replicated for each process now (#18238)
  • Properly manage fetcher.done with dataloader_iter (#18376)

Contributors

@​awaelchli, @​Borda, @​carmocca, @​quintenroets, @​rlizzo, @​speediedan, @​tchaton

... (truncated)

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Bumps [pytorch-lightning](https://github.com/Lightning-AI/lightning) from 2.0.7 to 2.0.8.
- [Release notes](https://github.com/Lightning-AI/lightning/releases)
- [Commits](Lightning-AI/pytorch-lightning@2.0.7...2.0.8)

---
updated-dependencies:
- dependency-name: pytorch-lightning
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Aug 31, 2023
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codecov bot commented Aug 31, 2023

Codecov Report

Patch and project coverage have no change.

Comparison is base (19e728e) 98.06% compared to head (13f4b3e) 98.06%.

Additional details and impacted files
@@           Coverage Diff           @@
##             main     #155   +/-   ##
=======================================
  Coverage   98.06%   98.06%           
=======================================
  Files          28       28           
  Lines        1807     1807           
=======================================
  Hits         1772     1772           
  Misses         35       35           

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@shyuep shyuep merged commit f1e2efe into main Aug 31, 2023
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@shyuep shyuep deleted the dependabot/pip/pytorch-lightning-2.0.8 branch August 31, 2023 14:26
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