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microsoft / mttl

Building modular LMs with parameter-efficient fine-tuning.
MIT License
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Bump pytorch-lightning from 2.0.4 to 2.0.5 #41

Closed dependabot[bot] closed 11 months ago

dependabot[bot] commented 1 year ago

Bumps pytorch-lightning from 2.0.4 to 2.0.5.

Release notes

Sourced from pytorch-lightning's releases.

Minor patch release

App

Added

  • plugin: store source app (#17892)
  • added colocation identifier (#16796)
  • Added exponential backoff to HTTPQueue put (#18013)
  • Content for plugins (#17243)

Changed

  • Save a reference to created tasks, to avoid tasks disappearing (#17946)

Fabric

Added

  • Added validation against misconfigured device selection when using the DeepSpeed strategy (#17952)

Changed

  • Avoid info message when loading 0 entry point callbacks (#17990)

Fixed

  • Fixed the emission of a false-positive warning when calling a method on the Fabric-wrapped module that accepts no arguments (#17875)
  • Fixed check for FSDP's flat parameters in all parameter groups (#17914)
  • Fixed automatic step tracking in Fabric's CSVLogger (#17942)
  • Fixed an issue causing the torch.set_float32_matmul_precision info message to show multiple times (#17960)
  • Fixed loading model state when Fabric.load() is called after Fabric.setup() (#17997)

PyTorch

Fixed

  • Fixed delayed creation of experiment metadata and checkpoint/log dir name when using WandbLogger (#17818)
  • Fixed incorrect parsing of arguments when augmenting exception messages in DDP (#17948)
  • Fixed an issue causing the torch.set_float32_matmul_precision info message to show multiple times (#17960)
  • Added missing map_location argument for the LightningDataModule.load_from_checkpoint function (#17950)
  • Fix support for neptune-client (#17939)

Contributors

... (truncated)

Commits


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dependabot[bot] commented 11 months ago

Superseded by #45.