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Copy file name to clipboardExpand all lines: src/lightning/fabric/CHANGELOG.md
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@@ -22,14 +22,15 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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## [2.6.4] - 2026-05-20
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## [2.6.2] - 2026-03-19
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> Versions 2.6.2 and 2.6.3 were skipped due to a supply chain security compromise. See [#21691](https://github.com/Lightning-AI/pytorch-lightning/issues/21691) for details.
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### Fixed
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- Fixed FSDP mixed precision (`bf16-mixed`, `16-mixed`) initializing model parameters in half precision instead of fp32 ([#21586](https://github.com/Lightning-AI/pytorch-lightning/pull/21586))
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- Fixed `device_mesh` type hint in `FSDPStrategy` to accept a 2-element tuple via the CLI ([#21581](https://github.com/Lightning-AI/pytorch-lightning/pull/21581))
Copy file name to clipboardExpand all lines: src/lightning/pytorch/CHANGELOG.md
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## [2.6.2] - 2026-03-19
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## [2.6.4] - 2026-05-20
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> Versions 2.6.2 and 2.6.3 were skipped due to a supply chain security compromise. See [#21691](https://github.com/Lightning-AI/pytorch-lightning/issues/21691) for details.
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### Removed
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- Removed support for Neptune logger ([#21572](https://github.com/Lightning-AI/pytorch-lightning/pull/21572))
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### Changed
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- Raise minimum `LitLogger` version to `2026-03-17` ([#21591](https://github.com/Lightning-AI/pytorch-lightning/pull/21591))
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### Fixed
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- Fixed `val_check_interval` raising `ValueError` when `limit_val_batches=0` and interval exceeds training batches ([#21560](https://github.com/Lightning-AI/pytorch-lightning/pull/21560))
- Fixed FSDP mixed precision (`bf16-mixed`, `16-mixed`) initializing model parameters in half precision instead of fp32 ([#21586](https://github.com/Lightning-AI/pytorch-lightning/pull/21586))
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- Fixed `device_mesh` type hint in `FSDPStrategy` to accept a 2-element tuple via the CLI ([#21581](https://github.com/Lightning-AI/pytorch-lightning/pull/21581))
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- Fixed ``RichModelSummary`` model size display formatting ([#21467](https://github.com/Lightning-AI/pytorch-lightning/pull/21467))
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- Fixed `RichModelSummary` model size display formatting ([#21467](https://github.com/Lightning-AI/pytorch-lightning/pull/21467))
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- Fixed floating-point precision in `SimpleProfiler` duration aggregation by using `math.fsum`([#21525](https://github.com/Lightning-AI/pytorch-lightning/pull/21525))
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