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chore: prepare changelog for 2.6.4 release (#21729)
- Add [2.6.4] release section with all changes from the skipped 2.6.2/2.6.3 - Note supply chain security compromise (see #21691) as reason for skipped versions - Includes: Neptune logger removal, LitLogger bump, val_check_interval fix, pkg-resources fix, FSDP mixed precision fix, device_mesh type hint fix, RichModelSummary fix, SimpleProfiler math.fsum precision fix
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src/lightning/fabric/CHANGELOG.md

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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 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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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 support for Neptune logger ([#21572](https://github.com/Lightning-AI/pytorch-lightning/pull/21572))
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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 `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))
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- Fixed pkg-resources deprecation issue ([#21538](https://github.com/Lightning-AI/pytorch-lightning/pull/21538))
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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))
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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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