cleaning chlog & fix imports

Author: Borda

examples/fabric/build_your_own_trainer/trainer.py

@@ -4,7 +4,7 @@
 from typing import Any, cast, Iterable, List, Literal, Optional, Tuple, Union
 
 import torch
-from lightning_utilities import apply_to_collection
+from lightning_utilities.core.apply_func import apply_to_collection
 from tqdm import tqdm
 
 import lightning as L

src/lightning/app/CHANGELOG.md

@@ -4,6 +4,20 @@ 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] - 2023-08-DD
+
+## Canaged
+
+- Change top folder ([#18212](https://github.com/Lightning-AI/lightning/pull/18212))
+
+
+- Remove `_handle_is_headless` calls in app run loop ([#18362](https://github.com/Lightning-AI/lightning/pull/18362))
+
+
+### Fixed
+
+- refactor path to root preventing circular import ([#18357](https://github.com/Lightning-AI/lightning/pull/18357))
+
 
 ## [2.0.7] - 2023-08-14
 

src/lightning/fabric/CHANGELOG.md

@@ -22,6 +22,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Fixed issue where Fabric would not initialize the global rank, world size, and rank-zero-only rank after initialization and before launch ([#16966](https://github.com/Lightning-AI/lightning/pull/16966))
 
 
+- Fixed FSDP full-precision `param_dtype` training (`16-mixed`, `bf16-mixed` and `32-true` configurations) to avoid FSDP assertion errors with PyTorch < 2.0 ([#18278](https://github.com/Lightning-AI/lightning/pull/18278))
+
+
 ## [2.0.7] - 2023-08-14
 
 ### Changed
@@ -30,9 +33,6 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ### Fixed
 
-- Fixed FSDP full-precision `param_dtype` training (`16-mixed`, `bf16-mixed` and `32-true` configurations) to avoid FSDP assertion errors with PyTorch < 2.0 ([#18278](https://github.com/Lightning-AI/lightning/pull/18278))
-
-
 - Fixed issue where DDP subprocesses that used Hydra would set hydra's working directory to current directory ([#18145](https://github.com/Lightning-AI/lightning/pull/18145))
 - Fixed an issue that would prevent the user to set the multiprocessing start method after importing lightning ([#18177](https://github.com/Lightning-AI/lightning/pull/18177))
 - Fixed an issue with `Fabric.all_reduce()` not performing an inplace operation for all backends consistently ([#18235](https://github.com/Lightning-AI/lightning/pull/18235))

src/lightning/fabric/strategies/launchers/multiprocessing.py

@@ -20,7 +20,7 @@
 import torch
 import torch.backends.cudnn
 import torch.multiprocessing as mp
-from lightning_utilities import apply_to_collection
+from lightning_utilities.core.apply_func import apply_to_collection
 from torch.nn import Module
 
 from lightning.fabric.accelerators.cpu import CPUAccelerator

src/lightning/pytorch/CHANGELOG.md

@@ -12,12 +12,29 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - On XLA, avoid setting the global rank before processes have been launched as this will initialize the PJRT computation client in the main process ([#16966](https://github.com/Lightning-AI/lightning/pull/16966))
 
 
-- Fixed FSDP full-precision `param_dtype` training (`16-mixed`, `bf16-mixed` and `32-true` configurations) to avoid FSDP assertion errors with PyTorch < 2.0 ([#18278](https://github.com/Lightning-AI/lightning/pull/18278))
+- Fix inefficiency in rich progress bar ([#18369](https://github.com/Lightning-AI/lightning/pull/18369))
+
+
+### Fixed
+
+- Fixed FSDP full-precision `param_dtype` training (`16-mixed` and `bf16-mixed` configurations) to avoid FSDP assertion errors with PyTorch < 2.0 ([#18278](https://github.com/Lightning-AI/lightning/pull/18278))
 
 
 - Fixed an issue that prevented the use of custom logger classes without an `experiment` property defined ([#18093](https://github.com/Lightning-AI/lightning/pull/18093))
 
 
+- Fixed setting the tracking uri in `MLFlowLogger` for logging artifacts to the MLFlow server ([#18395](https://github.com/Lightning-AI/lightning/pull/18395))
+
+
+- Fixed redundant `iter()` call to dataloader when checking dataloading configuration ([#18415](https://github.com/Lightning-AI/lightning/pull/18415))
+
+
+- Fixed model parameters getting shared between processes when running with `strategy="ddp_spawn"` and `accelerator="cpu"`; this has a necessary memory impact, as parameters are replicated for each process now ([#18238](https://github.com/Lightning-AI/lightning/pull/18238))
+
+
+- Properly manage `fetcher.done` with `dataloader_iter` ([#18376](https://github.com/Lightning-AI/lightning/pull/18376))
+
+
 ## [2.0.7] - 2023-08-14
 
 ### Added
@@ -46,14 +63,6 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Fixed an attribute error for `_FaultTolerantMode` when loading an old checkpoint that pickled the enum ([#18094](https://github.com/Lightning-AI/lightning/pull/18094))
 
 
-- Fixed setting the tracking uri in `MLFlowLogger` for logging artifacts to the MLFlow server ([#18395](https://github.com/Lightning-AI/lightning/pull/18395))
-
-
-- Fixed redundant `iter()` call to dataloader when checking dataloading configuration ([#18415](https://github.com/Lightning-AI/lightning/pull/18415))
-
-- Fixed model parameters getting shared between processes when running with `strategy="ddp_spawn"` and `accelerator="cpu"`; this has a necessary memory impact, as parameters are replicated for each process now ([#18238](https://github.com/Lightning-AI/lightning/pull/18238))
-
-
 ## [2.0.5] - 2023-07-07
 
 ### Fixed