Skip to content

Commit d59d67a

Browse files
bhimrazybhimrazy
authored
chore: update changelog and add missing entry for lit-logger integration (#21519)
chore: update chlog and also add missing chlog for litlogger integration
1 parent 4024b80 commit d59d67a

File tree

2 files changed

+5
-85
lines changed

2 files changed

+5
-85
lines changed

‎src/lightning/fabric/CHANGELOG.md‎

Lines changed: 0 additions & 18 deletions
Original file line numberDiff line numberDiff line change
@@ -34,48 +34,30 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
3434

3535
- Exposed `weights_only` argument for loading checkpoints in `Fabric.load()` and `Fabric.load_raw()` ([#21470](https://github.com/Lightning-AI/pytorch-lightning/pull/21470))
3636

37-
### Changed
38-
39-
-
40-
4137
### Fixed
4238

4339
- Fixed `DistributedSamplerWrapper` not forwarding `set_epoch` to the underlying sampler ([#21454](https://github.com/Lightning-AI/pytorch-lightning/pull/21454))
44-
4540
- Fixed DDP notebook CUDA fork check to allow passive initialization when CUDA is not actively used ([#21402](https://github.com/Lightning-AI/pytorch-lightning/pull/21402))
4641

47-
### Removed
48-
49-
-
50-
51-
---
52-
5342

5443
## [2.6.0] - 2025-11-28
5544

5645
### Added
5746

5847
- Added kwargs-filtering for `Fabric.call` to support different callback method signatures ([#21258](https://github.com/Lightning-AI/pytorch-lightning/pull/21258))
5948

60-
6149
### Changed
6250

6351
- Expose `weights_only` argument for `Trainer.{fit,validate,test,predict}` and let `torch` handle default value ([#21072](https://github.com/Lightning-AI/pytorch-lightning/pull/21072))
6452
- Set `_DeviceDtypeModuleMixin._device` from torch's default device function ([#21164](https://github.com/Lightning-AI/pytorch-lightning/pull/21164))
6553

66-
6754
### Fixed
6855

6956
- Fixed issue in detecting MPIEnvironment with partial mpi4py installation ([#21353](https://github.com/Lightning-AI/pytorch-lightning/pull/21353))
70-
7157
- Learning rate scheduler is stepped at the end of epoch when `on_train_batch_start` returns -1 ([#21296](https://github.com/Lightning-AI/pytorch-lightning/issues/21296)).
72-
73-
7458
- Fixed FSDP mixed precision semantics and added user warning ([#21361](https://github.com/Lightning-AI/pytorch-lightning/pull/21361))
7559

7660

77-
---
78-
7961
## [2.5.5] - 2025-09-05
8062

8163
### Changed

‎src/lightning/pytorch/CHANGELOG.md‎

Lines changed: 5 additions & 67 deletions
Original file line numberDiff line numberDiff line change
@@ -35,7 +35,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
3535
### Added
3636

3737
- Added method chaining support to `LightningModule.freeze()` and `LightningModule.unfreeze()` by returning `self` ([#21469](https://github.com/Lightning-AI/pytorch-lightning/pull/21469))
38-
38+
- Added litlogger integration([#21430](https://github.com/Lightning-AI/pytorch-lightning/pull/21430))
3939

4040
### Deprecated
4141

@@ -46,114 +46,51 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
4646

4747
- Removed support for Python 3.9 due to end-of-life status ([#21398](https://github.com/Lightning-AI/pytorch-lightning/pull/21398))
4848

49-
5049
### Fixed
5150

5251
- Fixed `save_hyperparameters(ignore=...)` behavior so subclass ignore rules override base class rules (#[21490](https://github.com/Lightning-AI/pytorch-lightning/pull/21490))
53-
54-
5552
- Fixed `LightningDataModule.load_from_checkpoint` to restore the datamodule subclass and hyperparameters ([#21478](https://github.com/Lightning-AI/pytorch-lightning/pull/21478))
56-
57-
5853
- Fixed ``ModelParallelStrategy`` single-file checkpointing when ``torch.compile`` wraps the model so optimizer states no longer raise ``KeyError`` during save ([#21357](https://github.com/Lightning-AI/pytorch-lightning/issues/21357))
59-
60-
6154
- Sanitize profiler filenames when saving to avoid crashes due to invalid characters ([#21395](https://github.com/Lightning-AI/pytorch-lightning/pull/21395))
62-
63-
64-
- Fix `StochasticWeightAveraging` with infinite epochs ([#21396](https://github.com/Lightning-AI/pytorch-lightning/pull/21396))
65-
66-
67-
- Fix `_generate_seed_sequence_sampling` function not producing unique seeds ([#21399](https://github.com/Lightning-AI/pytorch-lightning/pull/21399))
68-
69-
70-
- Fix `ThroughputMonitor` callback emitting warnings too frequently ([#21453](https://github.com/Lightning-AI/pytorch-lightning/pull/21453))
71-
72-
73-
---
55+
- Fixed `StochasticWeightAveraging` with infinite epochs ([#21396](https://github.com/Lightning-AI/pytorch-lightning/pull/21396))
56+
- Fixed `_generate_seed_sequence_sampling` function not producing unique seeds ([#21399](https://github.com/Lightning-AI/pytorch-lightning/pull/21399))
57+
- Fixed `ThroughputMonitor` callback emitting warnings too frequently ([#21453](https://github.com/Lightning-AI/pytorch-lightning/pull/21453))
7458

7559

7660
## [2.6.0] - 2025-11-28
7761

7862
### Added
7963

8064
- Added `WeightAveraging` callback that wraps the PyTorch `AveragedModel` class ([#20545](https://github.com/Lightning-AI/pytorch-lightning/pull/20545))
81-
82-
8365
- Added Torch-Tensorrt integration with `LightningModule` ([#20808](https://github.com/Lightning-AI/pytorch-lightning/pull/20808))
84-
85-
8666
- Added time-based validation support though `val_check_interval` ([#21071](https://github.com/Lightning-AI/pytorch-lightning/pull/21071))
87-
88-
8967
- Added attributes to access stopping reason in `EarlyStopping` callback ([#21188](https://github.com/Lightning-AI/pytorch-lightning/pull/21188))
90-
91-
9268
- Added support for variable batch size in `ThroughputMonitor` ([#20236](https://github.com/Lightning-AI/pytorch-lightning/pull/20236))
93-
94-
9569
- Added `EMAWeightAveraging` callback that wraps Lightning's `WeightAveraging` class ([#21260](https://github.com/Lightning-AI/pytorch-lightning/pull/21260))
9670

97-
9871
### Changed
9972

10073
- Expose `weights_only` argument for `Trainer.{fit,validate,test,predict}` and let `torch` handle default value ([#21072](https://github.com/Lightning-AI/pytorch-lightning/pull/21072))
101-
102-
10374
- Default to `RichProgressBar` and `RichModelSummary` if the rich package is available. Fallback to TQDMProgressBar and ModelSummary otherwise ([#20896](https://github.com/Lightning-AI/pytorch-lightning/pull/20896))
104-
105-
10675
- Add MPS accelerator support for mixed precision ([#21209](https://github.com/Lightning-AI/pytorch-lightning/pull/21209))
10776

108-
-
109-
110-
### Removed
111-
112-
-
113-
11477
### Fixed
11578

11679
- Fixed edgecase when `max_trials` is reached in `Tuner.scale_batch_size` ([#21187](https://github.com/Lightning-AI/pytorch-lightning/pull/21187))
117-
118-
11980
- Fixed case where `LightningCLI` could not be initialized with `trainer_default` containing callbacks ([#21192](https://github.com/Lightning-AI/pytorch-lightning/pull/21192))
120-
121-
12281
- Fixed missing reset when `ModelPruning` is applied with lottery ticket hypothesis ([#21191](https://github.com/Lightning-AI/pytorch-lightning/pull/21191))
123-
124-
12582
- Fixed preventing recursive symlink creation iwhen `save_last='link'` and `save_top_k=-1` ([#21186](https://github.com/Lightning-AI/pytorch-lightning/pull/21186))
126-
127-
12883
- Fixed `last.ckpt` being created and not linked to another checkpoint ([#21244](https://github.com/Lightning-AI/pytorch-lightning/pull/21244))
129-
130-
13184
- Fixed bug that prevented `BackboneFinetuning` from being used together with `LearningRateFinder` ([#21224](https://github.com/Lightning-AI/pytorch-lightning/pull/21224))
132-
133-
13485
- Fixed `ModelPruning` sparsity logging bug that caused incorrect sparsity percentages ([#21223](https://github.com/Lightning-AI/pytorch-lightning/pull/21223))
135-
136-
13786
- Fixed `LightningCLI` loading of hyperparameters from `ckpt_path` failing for subclass model mode ([#21246](https://github.com/Lightning-AI/pytorch-lightning/pull/21246))
138-
139-
14087
- Fixed check the init args only when the given frames are in `__init__` method ([#21227](https://github.com/Lightning-AI/pytorch-lightning/pull/21227))
141-
142-
14388
- Fixed how `ThroughputMonitor` calculated training time ([#21291](https://github.com/Lightning-AI/pytorch-lightning/pull/21291))
144-
145-
14689
- Fixed synchronization of gradients in manual optimization with `DDPStrategy(static_graph=True)` ([#21251](https://github.com/Lightning-AI/pytorch-lightning/pull/21251))
147-
148-
14990
- Fixed FSDP mixed precision semantics and added user warning ([#21361](https://github.com/Lightning-AI/pytorch-lightning/pull/21361))
150-
151-
15291
- Fixed `ModelCheckpoint.file_exists` using broadcast in DDP, reducing memory usage when checking for existing checkpoints ([#19674](https://github.com/Lightning-AI/pytorch-lightning/issues/19674))
15392

15493

155-
---
156-
15794
## [2.5.6] - 2025-11-05
15895

15996
### Changed
@@ -164,6 +101,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
164101

165102
- Remove support for deprecated and archived lightning-habana package ([#21327](https://github.com/Lightning-AI/pytorch-lightning/pull/21327))
166103

104+
167105
## [2.5.5] - 2025-09-05
168106

169107
### Changed

0 commit comments

Comments
 (0)