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Update changelog after 1.5.8 release (#11336)

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Adrian Wälchli 2022-01-06 08:26:13 +01:00 committed by GitHub
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CHANGELOG.md
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@ -395,30 +395,26 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
- Fixed double evaluation bug with fault-tolerance enabled where the second call was completely skipped ([#11119](https://github.com/PyTorchLightning/pytorch-lightning/pull/11119)) - Fixed double evaluation bug with fault-tolerance enabled where the second call was completely skipped ([#11119](https://github.com/PyTorchLightning/pytorch-lightning/pull/11119))
- Fixed `LightningCLI` race condition while saving the config ([#11199](https://github.com/PyTorchLightning/pytorch-lightning/pull/11199))
- Fixed the default value used with `log(reduce_fx=min|max)` ([#11310](https://github.com/PyTorchLightning/pytorch-lightning/pull/11310))
- Fixed an issue with the `TPUSpawnPlugin` handling the `XLA_USE_BF16` environment variable incorrectly ([#10990](https://github.com/PyTorchLightning/pytorch-lightning/pull/10990)) - Fixed an issue with the `TPUSpawnPlugin` handling the `XLA_USE_BF16` environment variable incorrectly ([#10990](https://github.com/PyTorchLightning/pytorch-lightning/pull/10990))
- Fixed wrong typehint for `Trainer.lightning_optimizers` ([#11155](https://github.com/PyTorchLightning/pytorch-lightning/pull/11155)) - Fixed wrong typehint for `Trainer.lightning_optimizers` ([#11155](https://github.com/PyTorchLightning/pytorch-lightning/pull/11155))
- Fixed dataloaders not getting reloaded the correct amount of times when setting `reload_dataloaders_every_n_epochs` and `check_val_every_n_epoch` ([#10948](https://github.com/PyTorchLightning/pytorch-lightning/pull/10948))
- Fixed data fetcher selection ([#11294](https://github.com/PyTorchLightning/pytorch-lightning/pull/11294))
- Fixed a race condition that could result in incorrect (zero) values being observed in prediction writer callbacks ([#11288](https://github.com/PyTorchLightning/pytorch-lightning/pull/11288))
- Fixed the lr-scheduler state not being dumped to checkpoint when using the deepspeed strategy ([#11307](https://github.com/PyTorchLightning/pytorch-lightning/pull/11307)) - Fixed the lr-scheduler state not being dumped to checkpoint when using the deepspeed strategy ([#11307](https://github.com/PyTorchLightning/pytorch-lightning/pull/11307))
## [1.5.8] - 2022-01-05
### Fixed
- Fixed `LightningCLI` race condition while saving the config ([#11199](https://github.com/PyTorchLightning/pytorch-lightning/pull/11199))
- Fixed the default value used with `log(reduce_fx=min|max)` ([#11310](https://github.com/PyTorchLightning/pytorch-lightning/pull/11310))
- Fixed data fetcher selection ([#11294](https://github.com/PyTorchLightning/pytorch-lightning/pull/11294))
- Fixed a race condition that could result in incorrect (zero) values being observed in prediction writer callbacks ([#11288](https://github.com/PyTorchLightning/pytorch-lightning/pull/11288))
- Fixed dataloaders not getting reloaded the correct amount of times when setting `reload_dataloaders_every_n_epochs` and `check_val_every_n_epoch` ([#10948](https://github.com/PyTorchLightning/pytorch-lightning/pull/10948))
## [1.5.7] - 2021-12-21 ## [1.5.7] - 2021-12-21
### Fixed ### Fixed