Merge branch 'master' into feat/ModelCheckpointException

Author: vsey

.github/workflows/_legacy-checkpoints.yml

@@ -149,13 +149,11 @@ jobs:
           title: Adding test for legacy checkpoint created with ${{ env.PL_VERSION }}
           committer: GitHub <[email protected]>
           author: ${{ github.actor }} <${{ github.actor }}@users.noreply.github.com>
-          commit-message: "adding `${{ env.PL_VERSION }}` checkpoint"
-          body: "**This is automated addition of created checkpoints with the latest `lightning` release!**"
+          body: "**This is automated addition of created checkpoint with the latest `${{ env.PL_VERSION }}` `lightning` release!**"
           delete-branch: true
           token: ${{ secrets.PAT_GHOST }}
           labels: |
             checkpointing
             tests
             pl
           assignees: borda
-          reviewers: borda

.github/workflows/docs-tutorials.yml

@@ -55,7 +55,6 @@ jobs:
           author: ${{ github.actor }} <${{ github.actor }}@users.noreply.github.com>
           token: ${{ secrets.PAT_GHOST }}
           add-paths: _notebooks
-          commit-message: "update tutorials to `${{ env.SHA_LATEST }}`"
           branch: "docs/update-tutorials"
           # Delete the branch when closing pull requests, and when undeleted after merging.
           delete-branch: true
@@ -72,4 +71,3 @@ jobs:
             docs
             examples
           assignees: borda
-          reviewers: borda

.github/workflows/tpu-tests.yml

@@ -165,7 +165,7 @@ jobs:
           gcloud compute tpus tpu-vm list
 
       - name: Upload coverage to Codecov
-        uses: codecov/codecov-action@v4
+        uses: codecov/codecov-action@v5
         continue-on-error: true
         with:
           token: ${{ secrets.CODECOV_TOKEN }}

requirements/doctests.txt

@@ -1,2 +1,2 @@
-pytest ==8.4.0
+pytest ==8.4.1
 pytest-doctestplus ==1.4.0

requirements/fabric/test.txt

@@ -1,9 +1,9 @@
 coverage ==7.9.1
 numpy >=1.17.2, <1.27.0
-pytest ==8.4.0
+pytest ==8.4.1
 pytest-cov ==6.2.1
 pytest-timeout ==2.4.0
 pytest-rerunfailures ==15.1
-pytest-random-order ==1.1.1
+pytest-random-order ==1.2.0
 click ==8.1.8
 tensorboardX >=2.2, <2.7.0  # min version is set by torch.onnx missing attribute

requirements/pytorch/test.txt

@@ -1,9 +1,9 @@
 coverage ==7.9.1
-pytest ==8.4.0
+pytest ==8.4.1
 pytest-cov ==6.2.1
 pytest-timeout ==2.4.0
 pytest-rerunfailures ==15.1
-pytest-random-order ==1.1.1
+pytest-random-order ==1.2.0
 
 # needed in tests
 cloudpickle >=1.3, <3.2.0

requirements/typing.txt

@@ -1,4 +1,4 @@
-mypy==1.16.0
+mypy==1.16.1
 torch==2.7.1
 
 types-Markdown

src/lightning/fabric/CHANGELOG.md

@@ -19,15 +19,26 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ---
 
+## [2.5.2] - 2025-3-20
+
+### Changed
+
+- Ensure correct device is used for autocast when mps is selected as Fabric accelerator ([#20876](https://github.com/Lightning-AI/pytorch-lightning/pull/20876))
+
+### Fixed
+
+- Fix: `TransformerEnginePrecision` conversion for layers with `bias=False` ([#20805](https://github.com/Lightning-AI/pytorch-lightning/pull/20805))
+
+
 ## [2.5.1] - 2025-03-18
 
 ### Changed
 
-- Added logging support for list of dicts without collapsing to a single key ([#19957](https://github.com/Lightning-AI/pytorch-lightning/issues/19957))
+- Added logging support for list of dicts without collapsing to a single key ([#19957](https://github.com/Lightning-AI/pytorch-lightning/pull/19957))
 
 ### Removed
 
-- Removed legacy support for `lightning run model`. Use `fabric run` instead. ([#20588](https://github.com/Lightning-AI/pytorch-lightning/pull/20588))
+- Removed legacy support for `lightning run model`; use `fabric run` instead ([#20588](https://github.com/Lightning-AI/pytorch-lightning/pull/20588))
 
 
 ## [2.5.0] - 2024-12-19

src/lightning/pytorch/CHANGELOG.md

@@ -4,41 +4,52 @@ All notable changes to this project will be documented in this file.
 
 The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
+---
 
 ## [unreleased] - YYYY-MM-DD
 
 ### Added
 
-- Add enable_autolog_hparams argument to Trainer ([#20593](https://github.com/Lightning-AI/pytorch-lightning/pull/20593))
-
-
-- Add `toggled_optimizer(optimizer)` method to the LightningModule, which is a context manager version of `toggle_optimize` and `untoggle_optimizer` ([#20771](https://github.com/Lightning-AI/pytorch-lightning/pull/20771))
-
-
-- For cross-device local checkpoints, instruct users to install `fsspec>=2025.5.0` if unavailable ([#20780](https://github.com/Lightning-AI/pytorch-lightning/pull/20780))
+-
 
 
 ### Changed
 
 -
 
+
 ### Removed
 
 -
 
 
 ### Fixed
 
-- Fixed `save_hyperparameters` not working correctly with `LightningCLI` when there are parsing links applied on instantiation ([#20777](https://github.com/Lightning-AI/pytorch-lightning/pull/20777))
+-
+
 
+---
 
-- Fixed logger_connector has edge case where step can be a float ([#20692](https://github.com/Lightning-AI/pytorch-lightning/pull/20692))
+## [2.5.2] - 2025-06-20
+
+### Changed
 
+- Add `enable_autolog_hparams` argument to Trainer ([#20593](https://github.com/Lightning-AI/pytorch-lightning/pull/20593))
+- Add `toggled_optimizer(optimizer)` method to the LightningModule, which is a context manager version of `toggle_optimize` and `untoggle_optimizer` ([#20771](https://github.com/Lightning-AI/pytorch-lightning/pull/20771))
+- For cross-device local checkpoints, instruct users to install `fsspec>=2025.5.0` if unavailable ([#20780](https://github.com/Lightning-AI/pytorch-lightning/pull/20780))
+- Check param is of `nn.Parameter` type for pruning sanitization ([#20783](https://github.com/Lightning-AI/pytorch-lightning/pull/20783))
 
-- Fix: Synchronize SIGTERM Handling in DDP to Prevent Deadlocks ([#20825](https://github.com/Lightning-AI/pytorch-lightning/pull/20825))
+### Fixed
 
+- Fixed `save_hyperparameters` not working correctly with `LightningCLI` when there are parsing links applied on instantiation ([#20777](https://github.com/Lightning-AI/pytorch-lightning/pull/20777))
+- Fixed `logger_connector` has an edge case where step can be a float ([#20692](https://github.com/Lightning-AI/pytorch-lightning/pull/20692))
+- Fixed Synchronize SIGTERM Handling in DDP to Prevent Deadlocks ([#20825](https://github.com/Lightning-AI/pytorch-lightning/pull/20825))
+- Fixed case-sensitive model name ([#20661](https://github.com/Lightning-AI/pytorch-lightning/pull/20661))
+- CLI: resolve jsonargparse deprecation warning ([#20802](https://github.com/Lightning-AI/pytorch-lightning/pull/20802))
+- Fix: move `check_inputs` to the target device if available during `to_torchscript` ([#20873](https://github.com/Lightning-AI/pytorch-lightning/pull/20873))
+- Fixed progress bar display to correctly handle iterable dataset and `max_steps` during training ([#20869](https://github.com/Lightning-AI/pytorch-lightning/pull/20869))
+- Fixed problem for silently supporting `jsonnet` ([#20899](https://github.com/Lightning-AI/pytorch-lightning/pull/20899))
 
----
 
 ## [2.5.1] - 2025-03-18