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releasing 2.5.5
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docs/source-pytorch/common/hooks.rst

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@@ -44,22 +44,15 @@ important to understand. The following order is always used:
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model = MyModel()
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callback = MyCallback()
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trainer = Trainer(callbacks=[callback], logger=False, max_epochs=1)
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trainer = Trainer(callbacks=[callback], logger=False, max_epochs=1, enable_progress_bar=False)
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trainer.fit(model)
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.. testoutput::
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:hide:
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:options: +ELLIPSIS, +NORMALIZE_WHITESPACE
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┏━━━┳━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━┓
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┃ ┃ Name ┃ Type ┃ Params ┃ Mode ┃ FLOPs ┃
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┡━━━╇━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━┩
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│ 0 │ layer │ Linear │ 66 │ train │ 0 │
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└───┴───────┴────────┴────────┴───────┴───────┘
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...
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Callback: Training is starting!
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Model: Training is starting!
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Epoch 0/0 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 64/64 ...
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.. note::

src/lightning/fabric/CHANGELOG.md

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## [unReleased] - 2025-09-DD
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## [2.5.5] - 2025-09-03
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- Include `exclude_frozen_parameters` to `DeepSpeedStrategy` ([#21060](https://github.com/Lightning-AI/pytorch-lightning/pull/21060))
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### Fixed
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- Fixed with adding a missing device id for pytorch 2.8 ([#21105](https://github.com/Lightning-AI/pytorch-lightning/pull/21105))

src/lightning/pytorch/CHANGELOG.md

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## [unReleased] - 2025-09-DD
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- Added `exclude_frozen_parameters` to `DeepSpeedStrategy` ([#21060](https://github.com/Lightning-AI/pytorch-lightning/pull/21060))
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- Added `PossibleUserWarning` that is raised if modules are in eval mode when training starts ([#21146](https://github.com/Lightning-AI/pytorch-lightning/pull/21146))
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## [2.5.5] - 2025-09-03
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- Include `exclude_frozen_parameters` to `DeepSpeedStrategy` ([#21060](https://github.com/Lightning-AI/pytorch-lightning/pull/21060))
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- Include `PossibleUserWarning` that is raised if modules are in eval mode when training starts ([#21146](https://github.com/Lightning-AI/pytorch-lightning/pull/21146))
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### Fixed
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- Fixed `LightningCLI` not using `ckpt_path` hyperparameters to instantiate classes ([#21116](https://github.com/Lightning-AI/pytorch-lightning/pull/21116))
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- Fixed callbacks by defer step/time-triggered `ModelCheckpoint` saves until validation metrics are available ([#21106](https://github.com/Lightning-AI/pytorch-lightning/pull/21106))
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- Fixed with adding a missing device id for pytorch 2.8 ([#21105](https://github.com/Lightning-AI/pytorch-lightning/pull/21105))
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- Fixed `TQDMProgressBar` not resetting correctly when using both a finite and iterable dataloader ([#21147](https://github.com/Lightning-AI/pytorch-lightning/pull/21147))
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src/version.info

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2.5.4
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2.5.5

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