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- Fixed an issue that would prevent the user to set the multiprocessing start method after importing lightning ([#18177](https://github.com/Lightning-AI/lightning/pull/18177))
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- Fixed an issue that would prevent the user to set the multiprocessing start method after importing lightning ([#18177](https://github.com/Lightning-AI/lightning/pull/18177))
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## [2.0.6] - 2023-07-20
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- Fixed handling a `None` request in the file orchestration queue ([#18111](https://github.com/Lightning-AI/lightning/pull/18111))
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- Fixed an issue that would prevent the user to set the multiprocessing start method after importing lightning ([#18177](https://github.com/Lightning-AI/lightning/pull/18177))
Copy file name to clipboardExpand all lines: src/lightning/fabric/CHANGELOG.md
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@@ -5,16 +5,17 @@ All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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## [UnReleased] - 2023-08-DD
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## [2.0.7] - 2023-08-14
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- Disabled the auto-detection of the Kubeflow environment ([#18137](https://github.com/Lightning-AI/lightning/pull/18137))
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### Fixed
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- Fixed issue where DDP subprocesses that used Hydra would set hydra's working directory to current directory ([#18145](https://github.com/Lightning-AI/lightning/pull/18145))
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- Fixed an issue that would prevent the user to set the multiprocessing start method after importing lightning ([#18177](https://github.com/Lightning-AI/lightning/pull/18177))
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- Fixed an issue with `Fabric.all_reduce()` not performing an inplace operation for all backends consistently ([#18235](https://github.com/Lightning-AI/lightning/pull/18235))
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## [2.0.6] - 2023-07-20
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- Fixed `TensorBoardLogger.log_graph` not unwrapping the `_FabricModule` ([#17844](https://github.com/Lightning-AI/lightning/pull/17844))
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- Fixed an issue that would prevent the user to set the multiprocessing start method after importing lightning ([#18177](https://github.com/Lightning-AI/lightning/pull/18177))
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- Fixed an issue with `Fabric.all_reduce()` not performing an inplace operation for all backends consistently ([#18235](https://github.com/Lightning-AI/lightning/pull/18235))
Copy file name to clipboardExpand all lines: src/lightning/pytorch/CHANGELOG.md
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The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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## [UnReleased] - 2023-08-DD
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## [2.0.7] - 2023-08-14
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- Added`LightningOptimizer.refresh()` to update the `__dict__` in case the optimizer it wraps has changed its internal state ([#18280](https://github.com/Lightning-AI/lightning/pull/18280))
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- Added `LightningOptimizer.refresh()` to update the `__dict__` in case the optimizer it wraps has changed its internal state ([#18280](https://github.com/Lightning-AI/lightning/pull/18280))
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@@ -17,6 +18,10 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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### Fixed
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- Fixed a `Missing folder` exception when using a Google Storage URL as a `default_root_dir` ([#18088](https://github.com/Lightning-AI/lightning/pull/18088))
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- Fixed an issue that would prevent the user to set the multiprocessing start method after importing lightning ([#18177](https://github.com/Lightning-AI/lightning/pull/18177))
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- Fixed the gradient unscaling logic if the training step skipped backward (by returning `None`) ([#18267](https://github.com/Lightning-AI/lightning/pull/18267))
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- Ensure that the closure running inside the optimizer step has gradients enabled, even if the optimizer step has it disabled ([#18268](https://github.com/Lightning-AI/lightning/pull/18268))
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- Fixed an issue that could cause the `LightningOptimizer` wrapper returned by `LightningModule.optimizers()` have different internal state than the optimizer it wraps ([#18280](https://github.com/Lightning-AI/lightning/pull/18280))
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## [2.0.6] - 2023-07-20
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- Fixed an attribute error for `_FaultTolerantMode` when loading an old checkpoint that pickled the enum ([#18094](https://github.com/Lightning-AI/lightning/pull/18094))
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- Fixed an issue that would prevent the user to set the multiprocessing start method after importing lightning ([#18177](https://github.com/Lightning-AI/lightning/pull/18177))
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- Fixed the gradient unscaling logic if the training step skipped backward (by returning `None`) ([#18267](https://github.com/Lightning-AI/lightning/pull/18267))
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- Ensure that the closure running inside the optimizer step has gradients enabled, even if the optimizer step has it disabled ([#18268](https://github.com/Lightning-AI/lightning/pull/18268))
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- Fixed an issue that could cause the `LightningOptimizer` wrapper returned by `LightningModule.optimizers()` have different internal state than the optimizer it wraps ([#18280](https://github.com/Lightning-AI/lightning/pull/18280))
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