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Lightning-AI / lightning-Graphcore

Apache License 2.0
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Bump pytorch-lightning from 2.0.6 to 2.0.8 #35

Closed dependabot[bot] closed 1 year ago

dependabot[bot] commented 1 year ago

Bumps pytorch-lightning from 2.0.6 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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dependabot[bot] commented 1 year ago

Dependabot tried to add @Lightning-AI/core-lightning as a reviewer to this PR, but received the following error from GitHub:

POST https://api.github.com/repos/Lightning-AI/lightning-Graphcore/pulls/35/requested_reviewers: 422 - Reviews may only be requested from collaborators. One or more of the teams you specified is not a collaborator of the Lightning-AI/lightning-Graphcore repository. // See: https://docs.github.com/rest/pulls/review-requests#request-reviewers-for-a-pull-request
dependabot[bot] commented 1 year ago

Superseded by #38.