2.4.0

版本发布时间: 2024-08-07 17:44:30

Lightning-AI/pytorch-lightning最新发布版本:2.4.0(2024-08-07 17:44:30)

Lightning AI :zap: is excited to announce the release of Lightning 2.4. This is mainly a compatibility upgrade for PyTorch 2.4 and Python 3.12, with a sprinkle of a few features and bug fixes.

Did you know? The Lightning philosophy extends beyond a boilerplate-free deep learning framework: We've been hard at work bringing you Lightning Studio. Code together, prototype, train, deploy, host AI web apps. All from your browser, with zero setup.

Changes

PyTorch Lightning

Added

Made saving non-distributed checkpoints fully atomic (#20011)
Added dump_stats flag to AdvancedProfiler (#19703)
Added a flag verbose to the seed_everything() function (#20108)
Added support for PyTorch 2.4 (#20010)
Added support for Python 3.12 (20078)
The TQDMProgressBar now provides an option to retain prior training epoch bars (#19578)
Added the count of modules in train and eval mode to the printed ModelSummary table (#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)
Changed the implementation of how seeds are chosen for dataloader workers when using seed_everything(..., workers=True) (#20055)
NumPy is no longer a required dependency (#20090)

Removed

Removed support for PyTorch 2.1 (#20009)
Removed support for Python 3.8 (#20071)

Fixed

Avoid LightningCLI saving hyperparameters with class_path and init_args since this would be a breaking change (#20068)
Fixed an issue that would cause too many printouts of the seed info when using seed_everything() (#20108)
Fixed _LoggerConnector's _ResultMetric to move all registered keys to the device of the logged value if needed (#19814)
Fixed _optimizer_to_device logic for special 'step' key in optimizer state causing performance regression (#20019)
Fixed parameter counts in ModelSummary when model has distributed parameters (DTensor) (#20163)

Lightning Fabric

Added

Made saving non-distributed checkpoints fully atomic (#20011)
Added a flag verbose to the seed_everything() function (#20108)
Added support for PyTorch 2.4 (#20028)
Added support for Python 3.12 (20078)

Changed

Changed the implementation of how seeds are chosen for dataloader workers when using seed_everything(..., workers=True) (#20055)
NumPy is no longer a required dependency (#20090)

Removed

Removed support for PyTorch 2.1 (#20009)
Removed support for Python 3.8 (#20071)

Fixed

Fixed an attribute error when loading a checkpoint into a quantized model using the _lazy_load() function (#20121)
Fixed _optimizer_to_device logic for special 'step' key in optimizer state causing performance regression (#20019)

Full commit list: 2.3.0 -> 2.4.0

Contributors

We thank all our contributors who submitted pull requests for features, bug fixes and documentation updates.

New Contributors

@SamuelLarkin made their first contribution in https://github.com/Lightning-AI/pytorch-lightning/pull/19969
@liambsmith made their first contribution in https://github.com/Lightning-AI/pytorch-lightning/pull/19986
@EtayLivne made their first contribution in https://github.com/Lightning-AI/pytorch-lightning/pull/19915
@elmuz made their first contribution in https://github.com/Lightning-AI/pytorch-lightning/pull/19998
@swyo made their first contribution in https://github.com/Lightning-AI/pytorch-lightning/pull/19982
@corwinjoy made their first contribution in https://github.com/Lightning-AI/pytorch-lightning/pull/20011
@omahs made their first contribution in https://github.com/Lightning-AI/pytorch-lightning/pull/19979
@linbo0518 made their first contribution in https://github.com/Lightning-AI/pytorch-lightning/pull/20040
@01AbhiSingh made their first contribution in https://github.com/Lightning-AI/pytorch-lightning/pull/20055
@K-H-Ismail made their first contribution in https://github.com/Lightning-AI/pytorch-lightning/pull/20099
@adosar made their first contribution in https://github.com/Lightning-AI/pytorch-lightning/pull/20146
@jojje made their first contribution in https://github.com/Lightning-AI/pytorch-lightning/pull/19578

Did you know?

Chuck Norris can solve NP-hard problems in polynomial time. In fact, any problem is easy when Chuck Norris solves it.

相关地址：原始地址下载(tar) 下载(zip)

1、 lightning-2.4.0-py3-none-any.whl 791.96KB

2、 lightning-2.4.0.tar.gz 606.09KB

3、 lightning-fabric-2.4.0.tar.gz 189.64KB

4、 lightning_fabric-2.4.0-py3-none-any.whl 244.16KB

5、 pytorch-lightning-2.4.0.tar.gz 610.66KB

6、 pytorch_lightning-2.4.0-py3-none-any.whl 796.05KB

查看：2024-08-07发行的版本