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‎docs/source-pytorch/versioning.rst‎

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@@ -67,6 +67,13 @@ PyTorch Lightning follows `NEP 29 <https://numpy.org/neps/nep-0029-deprecation_p
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The table below indicates the coverage of tested versions in our CI. Versions outside the ranges may unofficially work in some cases.
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Since the release of PyTorch `2.0`, Lightning strives to officially support the latest 5 PyTorch minor releases with no breaking changes within major versions [1]_.
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.. note::
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Legend used in the table below:
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- "≥ X.Y" minimum supported version.
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- "▼ X.Y" last CI-tested version (informational, not a hard upper bound).
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.. list-table::
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:header-rows: 1
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* - 2.5
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- 2.5
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- 2.5
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- ≥2.1, (last tested 2.8)
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- ≥2.1 (▼ 2.8)
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- ≥0.7.0
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- ≥3.9, (last tested 3.12)
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- ≥3.9 (▼ 3.12)
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* - 2.4
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- 2.4
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- 2.4
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- ≥2.1, (last tested 2.6)
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- ≥2.1 (▼ 2.6)
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- ≥0.7.0
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- ≥3.9, (last tested 3.12)
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- ≥3.9 (▼ 3.12)
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* - 2.3
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- 2.3
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- 2.3
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- ≥2.0, (last tested 2.3)
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- ≥2.0 (▼ 2.3)
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- ≥0.7.0
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- ≥3.8, (last tested 3.11)
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- ≥3.8 (▼ 3.11)
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* - 2.2
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- 2.2
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- 2.2
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- ≥1.13, (last tested 2.2)
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- ≥1.13 (▼ 2.2)
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- ≥0.7.0
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- ≥3.8, (last tested 3.11)
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- ≥3.8 (▼ 3.11)
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* - 2.1
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- 2.1
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- 2.1
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- ≥1.12, (last tested 2.1)
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- ≥1.12 (▼ 2.1)
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- ≥0.7.0
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- ≥3.8, (last tested 3.11)
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- ≥3.8 (▼ 3.11)
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* - 2.0
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- 2.0
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- 2.0 (GA)
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- ≥1.11, (last tested 2.0)
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- ≥1.11 (▼ 2.0)
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- ≥0.7.0
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- ≥3.8, (last tested 3.10)
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- ≥3.8 (▼ 3.10)
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* - 1.9
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- 1.9
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- 1.9 (experimental)
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- ≥1.10, (last tested 1.13)
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- ≥1.10 (▼ 1.13)
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- ≥0.7.0
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- ≥3.7, (last tested 3.10)
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- ≥3.7 (▼ 3.10)
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* - 1.8**
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- 1.8
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- n/a***
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- ≥1.10, (last tested 1.13)
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- ≥1.10 (▼ 1.13)
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- ≥0.7.0
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- ≥3.7, (last tested 3.10)
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- ≥3.7 (▼ 3.10)
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* - n/a
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- 1.7
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- n/a***
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- ≥1.9, (last tested 1.12)
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- ≥1.9 (▼ 1.12)
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- ≥0.7.0
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- ≥3.7, (last tested 3.10)
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- ≥3.7 (▼ 3.10)
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* - n/a
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- 1.6
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- n/a***
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- ≥1.8, (last tested 1.11)
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- ≥1.8 (▼ 1.11)
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- ≥0.4.1
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- ≥3.7, (last tested 3.9)
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- ≥3.7 (▼ 3.9)
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* - n/a
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- 1.5
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- n/a***
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- ≥1.7, (last tested 1.10)
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- ≥1.7 (▼ 1.10)
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- ≥0.4.1
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- ≥3.6, (last tested 3.9)
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- ≥3.6 (▼ 3.9)
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* - n/a
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- 1.4
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- n/a
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- ≥1.6, (last tested 1.9)
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- ≥1.6 (▼ 1.9)
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- ≥0.4.0
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- ≥3.6, (last tested 3.9)
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- ≥3.6 (▼ 3.9)
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- 1.3
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- n/a
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- ≥1.4, (last tested 1.8)
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- ≥1.4 (▼ 1.8)
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- ≥0.2.0
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- ≥3.6, (last tested 3.9)
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- ≥3.6 (▼ 3.9)
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- 1.2
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- n/a
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- ≥1.4, (last tested 1.8)
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- ≥1.4 (▼ 1.8)
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- n/a*
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- ≥3.6, (last tested 3.8)
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- ≥3.6 (▼ 3.8)
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- 1.1
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- n/a
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- ≥1.3, (last tested 1.8)
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- ≥1.3 (▼ 1.8)
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- n/a*
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- ≥3.6, (last tested 3.8)
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- ≥3.6 (▼ 3.8)
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- 1.0
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- n/a
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- ≥1.3, (last tested 1.7)
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- ≥1.3 (▼ 1.7)
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- n/a*
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- ≥3.6, (last tested 3.8)
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- ≥3.6 (▼ 3.8)
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\* ``torchmetrics`` was part of ``pytorch_lightning`` at the time and was decoupled to a separate package in v1.3.
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‎requirements/pytorch/test.txt‎

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tensorboard >=2.11, <2.21.0 # for `TensorBoardLogger`
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--find-links https://download.pytorch.org/whl/torch-tensorrt
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torch-tensorrt; platform_system == "Linux" and python_version >= "3.12"

‎src/lightning/fabric/CHANGELOG.md‎

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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 support for NVIDIA H200 GPUs in `get_available_flops` ([#20913](https://github.com/Lightning-AI/pytorch-lightning/pull/21119))
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## [2.5.4] - 2025-08-29
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- Added support for NVIDIA H200 GPUs in `get_available_flops` ([#20913](https://github.com/Lightning-AI/pytorch-lightning/pull/21119))
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## [2.5.3] - 2025-08-13
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‎src/lightning/pytorch/CHANGELOG.md‎

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- Default to RichProgressBar and RichModelSummary if the rich package is available. Fallback to TQDMProgressBar and ModelSummary otherwise. ([#9580](https://github.com/Lightning-AI/pytorch-lightning/pull/9580))
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- Default to `RichProgressBar` and `RichModelSummary` if the rich package is available. Fallback to TQDMProgressBar and ModelSummary otherwise. ([#9580](https://github.com/Lightning-AI/pytorch-lightning/pull/9580))
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- Fixed `AsyncCheckpointIO` snapshots tensors to avoid race with parameter mutation ([#21079](https://github.com/Lightning-AI/pytorch-lightning/pull/21079))
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- Fixed learning rate not being correctly set after using `LearningRateFinder` callback ([#21068](https://github.com/Lightning-AI/pytorch-lightning/pull/21068))
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- Fixed `AsyncCheckpointIO` snapshots tensors to avoid race with parameter mutation ([#21079](https://github.com/Lightning-AI/pytorch-lightning/pull/21079))
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- Fixed `AsyncCheckpointIO` threadpool exception if calling fit or validate more than one ([#20952](https://github.com/Lightning-AI/pytorch-lightning/pull/20952))
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- Fixed learning rate not being correctly set after using `LearningRateFinder` callback ([#21068](https://github.com/Lightning-AI/pytorch-lightning/pull/21068))
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- Fixed misalignment column while using rich model summary in `DeepSpeedstrategy` ([#21100](https://github.com/Lightning-AI/pytorch-lightning/pull/21100))
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‎tests/legacy/back-compatible-versions.txt‎

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