LoicGrobol / zeldarose

Train transformer-based models.
https://zeldarose.readthedocs.io
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Update pytorch-lightning requirement from <1.8.0,>=1.7.1 to >=1.7.1,<1.10.0 #42

Closed dependabot[bot] closed 1 year ago

dependabot[bot] commented 1 year ago

Updates the requirements on pytorch-lightning to permit the latest version.

Release notes

Sourced from pytorch-lightning's releases.

Stability and additional improvements

App

Added

  • Added a possibility to set up basic authentication for Lightning apps (#16105)

Changed

  • The LoadBalancer now uses internal ip + port instead of URL exposed (#16119)
  • Added support for logging in different trainer stages with DeviceStatsMonitor (#16002)
  • Changed lightning_app.components.serve.gradio to lightning_app.components.serve.gradio_server (#16201)
  • Made cluster creation/deletion async by default (#16185)

Fixed

  • Fixed not being able to run multiple lightning apps locally due to port collision (#15819)
  • Avoid relpath bug on Windows (#16164)
  • Avoid using the deprecated LooseVersion (#16162)
  • Porting fixes to autoscaler component (#16249)
  • Fixed a bug where lightning login with env variables would not correctly save the credentials (#16339)

Fabric

Added

  • Added Fabric.launch() to programmatically launch processes (e.g. in Jupyter notebook) (#14992)
  • Added the option to launch Fabric scripts from the CLI, without the need to wrap the code into the run method (#14992)
  • Added Fabric.setup_module() and Fabric.setup_optimizers() to support strategies that need to set up the model before an optimizer can be created (#15185)
  • Added support for Fully Sharded Data Parallel (FSDP) training in Lightning Lite (#14967)
  • Added lightning_fabric.accelerators.find_usable_cuda_devices utility function (#16147)
  • Added basic support for LightningModules (#16048)
  • Added support for managing callbacks via Fabric(callbacks=...) and emitting events through Fabric.call() (#16074)
  • Added Logger support (#16121)
    • Added Fabric(loggers=...) to support different Logger frameworks in Fabric
    • Added Fabric.log for logging scalars using multiple loggers
    • Added Fabric.log_dict for logging a dictionary of multiple metrics at once
    • Added Fabric.loggers and Fabric.logger attributes to access the individual logger instances
    • Added support for calling self.log and self.log_dict in a LightningModule when using Fabric
    • Added access to self.logger and self.loggers in a LightningModule when using Fabric
  • Added lightning_fabric.loggers.TensorBoardLogger (#16121)
  • Added lightning_fabric.loggers.CSVLogger (#16346)
  • Added support for a consistent .zero_grad(set_to_none=...) on the wrapped optimizer regardless of which strategy is used (#16275)

Changed

  • Renamed the class LightningLite to Fabric (#15932, #15938)

... (truncated)

Commits


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dependabot[bot] commented 1 year ago

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version. You can also ignore all major, minor, or patch releases for a dependency by adding an ignore condition with the desired update_types to your config file.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.