Prepare Lightning 2.5.0 release (#20505)

* Update CHANGELOGS

* Bump versions

Author: lantiga

.github/ISSUE_TEMPLATE/1_bug_report.yaml

@@ -37,6 +37,7 @@ body:
         - "v2.2"
         - "v2.3"
         - "v2.4"
+        - "v2.5"
         - "master"
     validations:
       required: true
@@ -91,8 +92,8 @@ body:
           <summary>Current environment</summary>
 
         ```
-        #- PyTorch Lightning Version (e.g., 2.4.0):
-        #- PyTorch Version (e.g., 2.4):
+        #- PyTorch Lightning Version (e.g., 2.5.0):
+        #- PyTorch Version (e.g., 2.5):
         #- Python version (e.g., 3.12):
         #- OS (e.g., Linux):
         #- CUDA/cuDNN version:

.github/advanced-issue-labeler.yml

@@ -16,5 +16,7 @@ policy:
             keys: ["v2_3", "v2.3", "2.3.x"]
           - name: "ver: 2.4.x"
             keys: ["v2_4", "v2.4", "2.4.x"]
-          - name: "ver: 2.4.x"
+          - name: "ver: 2.5.x"
+            keys: ["v2_5", "v2.5", "2.5.x"]
+          - name: "ver: 2.5.x"
             keys: ["master"]

src/lightning/fabric/CHANGELOG.md

@@ -4,6 +4,26 @@ 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/).
 
+## [2.5.0] - 2024-12-19
+
+### Added
+
+- Added `step` parameter to `TensorBoardLogger.log_hyperparams` to visualize changes during training ([#20176](https://github.com/Lightning-AI/pytorch-lightning/pull/20176))
+- Added timeout to DeepSpeedStrategy ([#20474](https://github.com/Lightning-AI/pytorch-lightning/pull/20474))
+- Added FP8 + FSDP2 + torch.compile examples for Fabric ([#20440](https://github.com/Lightning-AI/pytorch-lightning/pull/20440))
+- Added RTX 4080 super to chips dictionary ([#20285](https://github.com/Lightning-AI/pytorch-lightning/pull/20285))
+- Added device property to lazy load functionality ([#20183](https://github.com/Lightning-AI/pytorch-lightning/pull/20183))
+- Added `ddp_find_unused_parameters_true` alias in Fabric's DDPStrategy ([#20125](https://github.com/Lightning-AI/pytorch-lightning/pull/20125))
+
+### Changed
+
+- Changed seeding NumPy using `np.random.SeedSequence()` in `pl_worker_init_function()` to robustly seed NumPy-dependent dataloader workers ([#20369](https://github.com/Lightning-AI/pytorch-lightning/pull/20369))
+- Bumped PyTorch to version `2.5` ([#20351](https://github.com/Lightning-AI/pytorch-lightning/pull/20351))
+- Update BitsAndBytes version ([#20313](https://github.com/Lightning-AI/pytorch-lightning/pull/20313))
+
+### Fixed
+
+- Fixed use of `convert_module` in FSDP to avoid using more memory than necessary during initialization ([#20323](https://github.com/Lightning-AI/pytorch-lightning/pull/20323))
 
 ## [2.4.0] - 2024-08-06
 

src/lightning/pytorch/CHANGELOG.md

@@ -4,21 +4,45 @@ 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
+## [2.5.0] - 2024-12-19
 
 ### Added
 
+- Added `step` parameter to `TensorBoardLogger.log_hyperparams` to visualize changes during training ([#20176](https://github.com/Lightning-AI/pytorch-lightning/pull/20176))
+- Added `str` method to datamodule ([#20301](https://github.com/Lightning-AI/pytorch-lightning/pull/20301))
+- Added timeout to DeepSpeedStrategy ([#20474](https://github.com/Lightning-AI/pytorch-lightning/pull/20474))
+- Added doc for Truncated Back-Propagation Through Time ([#20422](https://github.com/Lightning-AI/pytorch-lightning/pull/20422))
+- Added FP8 + FSDP2 + torch.compile examples for PyTorch Lightning ([#20440](https://github.com/Lightning-AI/pytorch-lightning/pull/20440))
+- Added profiling to `Trainer.save_checkpoint` ([#20405](https://github.com/Lightning-AI/pytorch-lightning/pull/20405))
+- Added after_instantiate_classes hook to CLI ([#20401](https://github.com/Lightning-AI/pytorch-lightning/pull/20401))
+
 ### Changed
 
-- Merging of hparams when logging now ignores parameter names that begin with underscore `_` ([#20221](https://github.com/Lightning-AI/pytorch-lightning/pull/20221))
+- Updated checkpointing documentation to mark `resume_from_checkpoint` as deprecated ([#20477](https://github.com/Lightning-AI/pytorch-lightning/pull/20477))
+- Made plugin type checks more flexible ([#20186](https://github.com/Lightning-AI/pytorch-lightning/pull/20186))
+- Changed seeding NumPy using `np.random.SeedSequence()` in `pl_worker_init_function()` to robustly seed NumPy-dependent dataloader workers ([#20369](https://github.com/Lightning-AI/pytorch-lightning/pull/20369))
+- Allowed callbacks to be restored not just during training ([#20403](https://github.com/Lightning-AI/pytorch-lightning/pull/20403))
+- Changed LightningCLI tests to account for future fix in jsonargparse ([#20372](https://github.com/Lightning-AI/pytorch-lightning/pull/20372))
+- Bumped PyTorch to version `2.5` ([#20351](https://github.com/Lightning-AI/pytorch-lightning/pull/20351))
+- Decoupled checkpoint artifact path from model artifact path ([#20325](https://github.com/Lightning-AI/pytorch-lightning/pull/20325))
+- Updated BitsAndBytes version ([#20313](https://github.com/Lightning-AI/pytorch-lightning/pull/20313))
+- Changed merging of hparams when logging to ignore parameter names that start with an underscore `_` ([#20221](https://github.com/Lightning-AI/pytorch-lightning/pull/20221))
+- Re-enabled passing `BytesIO` as path in `.to_onnx()` ([#20172](https://github.com/Lightning-AI/pytorch-lightning/pull/20172))
 
 ### Removed
 
-### Fixed
+- Removed `List[int]` as input type for Trainer when `accelerator="cpu"` ([#20399](https://github.com/Lightning-AI/pytorch-lightning/pull/20399))
 
-- Fix LightningCLI failing when both module and data module save hyperparameters due to conflicting internal `_class_path` parameter ([#20221](https://github.com/Lightning-AI/pytorch-lightning/pull/20221))
+### Fixed
 
+- Fixed UnboundLocalError when using the predict method with return_predictions=False. ([#20484](https://github.com/Lightning-AI/pytorch-lightning/pull/20484))
+- Fixed use of `convert_module` in FSDP to avoid using more memory than necessary during initialization ([#20323](https://github.com/Lightning-AI/pytorch-lightning/pull/20323))
+- Fixed TypeError in `configure_optimizers` when running with `ReduceLROnPlateau` ([#20471](https://github.com/Lightning-AI/pytorch-lightning/pull/20471))
+- Fixed return type in `configure_optimizers` example ([#20420](https://github.com/Lightning-AI/pytorch-lightning/pull/20420))
+- Fixed in ncorrect URI prefix stripping in MLFlowLogger ([#20365](https://github.com/Lightning-AI/pytorch-lightning/pull/20365))
+- Fixed shuffling behavior when using a custom sampler in data module ([#20327](https://github.com/Lightning-AI/pytorch-lightning/pull/20327))
+- Ensured restarting from checkpoints leads to consistent internal counters compared to uninterrupted training ([#20379](https://github.com/Lightning-AI/pytorch-lightning/pull/20379))
+- Fixed LightningCLI failing when both module and data module save hyperparameters due to conflicting internal `_class_path` parameter ([#20221](https://github.com/Lightning-AI/pytorch-lightning/pull/20221))
 
 ## [2.4.0] - 2024-08-06
 

src/version.info

@@ -1 +1 @@
-2.5.0rc0
+2.5.0