Fixed an issue that would prevent the user to set the multiprocessing start method after importing lightning ((#18177))
Fabric
Changed
Disabled the auto-detection of the Kubeflow environment ((#18137))
Fixed
Fixed issue where DDP subprocesses that used Hydra would set hydra's working directory to current directory ((#18145))
Fixed an issue that would prevent the user to set the multiprocessing start method after importing lightning ((#18177))
Fixed an issue with Fabric.all_reduce() not performing an inplace operation for all backends consistently ((#18235))
PyTorch
Added
Added LightningOptimizer.refresh() to update the __dict__ in case the optimizer it wraps has changed its internal state ((#18280))
Changed
Disabled the auto-detection of the Kubeflow environment ((#18137))
Fixed
Fixed a Missing folder exception when using a Google Storage URL as a default_root_dir ((#18088))
Fixed an issue that would prevent the user to set the multiprocessing start method after importing lightning ((#18177))
Fixed the gradient unscaling logic if the training step skipped backward (by returning None) ((#18267))
Ensure that the closure running inside the optimizer step has gradients enabled, even if the optimizer step has it disabled ((#18268))
Fixed an issue that could cause the LightningOptimizer wrapper returned by LightningModule.optimizers() have different internal state than the optimizer it wraps ((#18280))
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Bumps pytorch-lightning from 1.5.6 to 2.0.7.
Release notes
Sourced from pytorch-lightning's releases.
... (truncated)
Commits
34c3fb9
update ci for legacy upload (#18316)d2d9711
releasing 2.0.76b9e0a5
Support skipping training step when using mixed precision training (#18267)6d63651
Refresh the internal LightningOptimizer state for inspection (#18280)92d689e
Support None from training_step in LRFinder (#18129)9cf52ec
Disable auto-detection of Kubeflow environment (#18137)2d5192b
fix badges in readme (#18260)0e62347
improve debug failing warning test (#18271)28e0bdd
Explicitly enable grad in closure (#18268)cfefd09
Makeall_reduce
consistent for both NCCL and GLOO (#18235)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase
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