Prepare Lightning 2.4.0 release (#20154)

Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com>

Author: awaelchli

.github/ISSUE_TEMPLATE/1_bug_report.yaml

@@ -32,11 +32,11 @@ body:
       description: select all version where you have experienced this issue
       multiple: true
       options:
-        - "v1.8"
-        - "v1.9"
-        - "v2.0"
+        - "v1.x"
         - "v2.1"
         - "v2.2"
+        - "v2.3"
+        - "v2.4"
         - "master"
     validations:
       required: true
@@ -91,9 +91,9 @@ body:
           <summary>Current environment</summary>
 
         ```
-        #- PyTorch Lightning Version (e.g., 1.5.0):
-        #- PyTorch Version (e.g., 2.0):
-        #- Python version (e.g., 3.9):
+        #- PyTorch Lightning Version (e.g., 2.4.0):
+        #- PyTorch Version (e.g., 2.4):
+        #- Python version (e.g., 3.12):
         #- OS (e.g., Linux):
         #- CUDA/cuDNN version:
         #- GPU models and configuration:

.github/advanced-issue-labeler.yml

@@ -4,17 +4,17 @@ policy:
   - section:
       - id: ["versions"]
         label:
-          - name: "ver: 1.6.x"
-            keys: ["v1_6", "v1.6", "1.6.x"]
-          - name: "ver: 1.7.x"
-            keys: ["v1_7", "v1.7", "1.7.x"]
-          - name: "ver: 1.8.x"
-            keys: ["v1_8", "v1.8", "1.8.x"]
-          - name: "ver: 1.9.x"
-            keys: ["v1_9", "v1.9", "1.9.x"]
+          - name: "ver: 1.x"
+            keys: ["v1_x", "v1.X", "1.x"]
           - name: "ver: 2.0.x"
             keys: ["v2_0", "v2.0", "2.0.x"]
           - name: "ver: 2.1.x"
             keys: ["v2_1", "v2.1", "2.1.x"]
           - name: "ver: 2.2.x"
+            keys: ["v2_2", "v2.2", "2.2.x"]
+          - name: "ver: 2.3.x"
+            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"
             keys: ["master"]

docs/source-pytorch/conf.py

@@ -630,8 +630,10 @@ def package_list_from_file(file):
 # A timeout value, in seconds, for the linkcheck builder.
 linkcheck_timeout = 60
 
-# ignore all links in any CHANGELOG file
-linkcheck_exclude_documents = [r"^(.*\/)*CHANGELOG.*$"]
+linkcheck_exclude_documents = [
+    r"^(.*\/)*CHANGELOG.*$",  # ignore all links in any CHANGELOG file
+    r"notebooks/.*",  # ignore notebooks, it's a submodule
+]
 
 # ignore the following relative links (false positive errors during linkcheck)
 linkcheck_ignore = [

src/lightning/fabric/CHANGELOG.md

@@ -5,43 +5,31 @@ 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
+## [2.4.0] - 2024-08-06
 
 ### Added
 
 - Made saving non-distributed checkpoints fully atomic ([#20011](https://github.com/Lightning-AI/pytorch-lightning/pull/20011))
-
 - Added a flag `verbose` to the `seed_everything()` function ([#20108](https://github.com/Lightning-AI/pytorch-lightning/pull/20108))
-
+- Added support for PyTorch 2.4 ([#20028](https://github.com/Lightning-AI/pytorch-lightning/pull/20028))
+- Added support for Python 3.12 ([20078](https://github.com/Lightning-AI/pytorch-lightning/pull/20078))
 
 ### Changed
 
 - Changed the implementation of how seeds are chosen for dataloader workers when using `seed_everything(..., workers=True)` ([#20055](https://github.com/Lightning-AI/pytorch-lightning/pull/20055))
-
 - NumPy is no longer a required dependency ([#20090](https://github.com/Lightning-AI/pytorch-lightning/issues/20090))
 
-### Deprecated
-
--
-
--
-
 ### Removed
 
 - Removed support for PyTorch 2.1 ([#20009](https://github.com/Lightning-AI/lightning/pull/20009))
-
-
 - Removed support for Python 3.8 ([#20071](https://github.com/Lightning-AI/lightning/pull/20071))
 
 ### Fixed
 
 - Fixed an attribute error when loading a checkpoint into a quantized model using the `_lazy_load()` function ([#20121](https://github.com/Lightning-AI/lightning/pull/20121))
-
-
 - Fixed `_optimizer_to_device` logic for special 'step' key in optimizer state causing performance regression ([#20019](https://github.com/Lightning-AI/lightning/pull/20019))
 
 
-
 ## [2.3.0] - 2024-06-13
 
 ### Added

src/lightning/pytorch/CHANGELOG.md

@@ -5,52 +5,35 @@ 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
+## [2.4.0] - 2024-08-06
 
 ### Added
 
 - Made saving non-distributed checkpoints fully atomic ([#20011](https://github.com/Lightning-AI/pytorch-lightning/pull/20011))
-
 - Added `dump_stats` flag to `AdvancedProfiler` ([#19703](https://github.com/Lightning-AI/pytorch-lightning/issues/19703))
-
 - Added a flag `verbose` to the `seed_everything()` function ([#20108](https://github.com/Lightning-AI/pytorch-lightning/pull/20108))
-
+- Added support for PyTorch 2.4 ([#20010](https://github.com/Lightning-AI/pytorch-lightning/pull/20010))
+- Added support for Python 3.12 ([20078](https://github.com/Lightning-AI/pytorch-lightning/pull/20078))
 - The `TQDMProgressBar` now provides an option to retain prior training epoch bars ([#19578](https://github.com/Lightning-AI/pytorch-lightning/pull/19578))
-
 - Added the count of modules in train and eval mode to the printed `ModelSummary` table ([#20159](https://github.com/Lightning-AI/pytorch-lightning/pull/20159))
 
 ### Changed
 
 - Triggering KeyboardInterrupt (Ctrl+C) during `.fit()`, `.evaluate()`, `.test()` or `.predict()` now terminates all processes launched by the Trainer and exits the program ([#19976](https://github.com/Lightning-AI/pytorch-lightning/pull/19976))
-
 - Changed the implementation of how seeds are chosen for dataloader workers when using `seed_everything(..., workers=True)` ([#20055](https://github.com/Lightning-AI/pytorch-lightning/pull/20055))
-
 - NumPy is no longer a required dependency ([#20090](https://github.com/Lightning-AI/pytorch-lightning/issues/20090))
 
-### Deprecated
-
--
-
--
-
 ### Removed
 
 - Removed support for PyTorch 2.1 ([#20009](https://github.com/Lightning-AI/lightning/pull/20009))
-
-
 - Removed support for Python 3.8 ([#20071](https://github.com/Lightning-AI/lightning/pull/20071))
 
-
 ### Fixed
 
 - Avoid LightningCLI saving hyperparameters with `class_path` and `init_args` since this would be a breaking change ([#20068](https://github.com/Lightning-AI/pytorch-lightning/pull/20068))
-
 - Fixed an issue that would cause too many printouts of the seed info when using `seed_everything()` ([#20108](https://github.com/Lightning-AI/pytorch-lightning/pull/20108))
-
 - Fixed `_LoggerConnector`'s `_ResultMetric` to move all registered keys to the device of the logged value if needed ([#19814](https://github.com/Lightning-AI/pytorch-lightning/issues/19814))
-
 - Fixed `_optimizer_to_device` logic for special 'step' key in optimizer state causing performance regression ([#20019](https://github.com/Lightning-AI/lightning/pull/20019))
-
 - Fixed parameter counts in `ModelSummary` when model has distributed parameters (DTensor) ([#20163](https://github.com/Lightning-AI/pytorch-lightning/pull/20163))
 
 

src/version.info

@@ -1 +1 @@
-2.4.0dev
+2.4.0