Rooba
/
lightning
mirror of https://github.com/Lightning-AI/lightning.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Update CHANGELOG after the 1.6.5 release (#13641)

This commit is contained in:
Carlos Mocholí 2022-07-13 23:13:38 +02:00 committed by GitHub
parent daf7cec01e
commit 58dfa5010f
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 7 additions and 9 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

16
src/pytorch_lightning/CHANGELOG.md
View File

@ -311,24 +311,22 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
- Fixed ``LightningCLI`` signature parameter resolving for some lightning classes ([#13283](https://github.com/PyTorchLightning/pytorch-lightning/pull/13283))
- Fixed `estimated_stepping_batches` requiring distributed comms in `configure_optimizers` for the `DeepSpeedStrategy` ([#13350](https://github.com/PyTorchLightning/pytorch-lightning/pull/13350))
- Fixed bug with Python version check that prevented use with development versions of Python ([#13420](https://github.com/PyTorchLightning/pytorch-lightning/pull/13420))
- Fixed Model Summary when using DeepSpeed Stage 3 ([#13427](https://github.com/PyTorchLightning/pytorch-lightning/pull/13427))
- Fixed `pytorch_lightning.utilities.distributed.gather_all_tensors` to handle tensors of different dimensions ([#12630](https://github.com/PyTorchLightning/pytorch-lightning/pull/12630))
- The loops now call `.set_epoch()` also on batch samplers if the dataloader has one wrapped in a distributed sampler ([#13396](https://github.com/PyTorchLightning/pytorch-lightning/pull/13396))
- Fixed the input validation for the accelerator Trainer argument when passed as a string ([#13417](https://github.com/PyTorchLightning/pytorch-lightning/pull/13417))
## [1.6.5] - 2022-07-13
### Fixed
- Fixed `estimated_stepping_batches` requiring distributed comms in `configure_optimizers` for the `DeepSpeedStrategy` ([#13350](https://github.com/PyTorchLightning/pytorch-lightning/pull/13350))
- Fixed bug with Python version check that prevented use with development versions of Python ([#13420](https://github.com/PyTorchLightning/pytorch-lightning/pull/13420))
- The loops now call `.set_epoch()` also on batch samplers if the dataloader has one wrapped in a distributed sampler ([#13396](https://github.com/PyTorchLightning/pytorch-lightning/pull/13396))
- Fixed the restoration of log step during restart ([#13467](https://github.com/PyTorchLightning/pytorch-lightning/pull/13467))