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tordks / image_classification

Framework for training and tracking deep learning models built on pytorch-lightning and hydra. Soon to encompass both image classification, semantic segmentation and object detection.
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Bump pytorch-lightning from 1.6.4 to 1.9.0 #143

Closed dependabot[bot] closed 1 year ago

dependabot[bot] commented 1 year ago

Bumps pytorch-lightning from 1.6.4 to 1.9.0.

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

Superseded by #148.