pytorch-lightning 1.9.1

Weekly patch release

on Python PyPI

App

Added

• Added lightning open command (#16482)
• Added experimental support for interruptable GPU in the cloud (#16399)
• Added FileSystem abstraction to simply manipulate files (#16581)
• Added Storage Commands (#16606)
  • ls: List files from your Cloud Platform Filesystem
  • cd: Change the current directory within your Cloud Platform filesystem (terminal session based)
  • pwd: Return the current folder in your Cloud Platform Filesystem
  • cp: Copy files between your Cloud Platform Filesystem and local filesystem
• Prevent to cd into non-existent folders (#16645)
• Enabled cp (upload) at project level (#16631)
• Enabled ls and cp (download) at project level (#16622)
• Added lightning connect data to register data connection to s3 buckets (#16670)
• Added support for running with multiprocessing in the cloud (#16624)
• Initial plugin server (#16523)
• Connect and Disconnect node (#16700)

Changed

• Changed the default LightningClient(retry=False) to retry=True (#16382)
• Add support for async predict method in PythonServer and remove torch context (#16453)
• Renamed lightning.app.components.LiteMultiNode to lightning.app.components.FabricMultiNode (#16505)
• Changed the command lightning connect to lightning connect app for consistency (#16670)
• Refactor cloud dispatch and update to new API (#16456)
• Updated app URLs to the latest format (#16568)

Fixed

• Fixed a deadlock causing apps not to exit properly when running locally (#16623)
• Fixed the Drive root_folder not parsed properly (#16454)
• Fixed malformed path when downloading files using lightning cp (#16626)
• Fixed app name in URL (#16575)

Fabric

Fixed

• Fixed error handling for accelerator="mps" and ddp strategy pairing (#16455)
• Fixed strict availability check for torch_xla requirement (#16476)
• Fixed an issue where PL would wrap DataLoaders with XLA's MpDeviceLoader more than once (#16571)
• Fixed the batch_sampler reference for DataLoaders wrapped with XLA's MpDeviceLoader (#16571)
• Fixed an import error when torch.distributed is not available (#16658)

Pytorch

Fixed

• Fixed an unintended limitation for calling save_hyperparameters on mixin classes that don't subclass LightningModule/LightningDataModule (#16369)
• Fixed an issue with MLFlowLogger logging the wrong keys with .log_hyperparams() (#16418)
• Fixed logging more than 100 parameters with MLFlowLogger and long values are truncated (#16451)
• Fixed strict availability check for torch_xla requirement (#16476)
• Fixed an issue where PL would wrap DataLoaders with XLA's MpDeviceLoader more than once (#16571)
• Fixed the batch_sampler reference for DataLoaders wrapped with XLA's MpDeviceLoader (#16571)
• Fixed an import error when torch.distributed is not available (#16658)

Contributors

@akihironitta, @awaelchli, @Borda, @BrianPulfer, @ethanwharris, @hhsecond, @justusschock, @Liyang90, @RuRo, @senarvi, @shenoynikhil, @tchaton

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