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Update changelog after 1.5.3 release (#10744)

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Adrian Wälchli 2021-11-27 06:28:23 +01:00 committed by GitHub
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CHANGELOG.md
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@ -184,34 +184,33 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
### Fixed
- When a tensor is logged with `self.log`, run its computation with the same `dtype` ([#10076](https://github.com/PyTorchLightning/pytorch-lightning/pull/10076))
- Fixed `_compare_version` for python packages ([#10762](https://github.com/PyTorchLightning/pytorch-lightning/pull/10762))
- Fixed `ShardedTensor` state dict hook registration to check if torch distributed is available ([#10621](https://github.com/PyTorchLightning/pytorch-lightning/pull/10621))
- Fixed LigtningLite `_wrap_init` popping unexisting keys from DataLoader signature parameters ([#10613](https://github.com/PyTorchLightning/pytorch-lightning/pull/10613))
- Fixed signals being registered within threads ([#10610](https://github.com/PyTorchLightning/pytorch-lightning/pull/10610))
- Fixed an issue that caused Lightning to extract the batch size even though it was set by the user in `LightningModule.log` ([#10408](https://github.com/PyTorchLightning/pytorch-lightning/pull/10408))
- Fixed `Trainer(move_metrics_to_cpu=True)` not moving the evaluation logged results to CPU ([#10631](https://github.com/PyTorchLightning/pytorch-lightning/pull/10631))
- Fixed the `{validation,test}_step` outputs getting moved to CPU with `Trainer(move_metrics_to_cpu=True)` ([#10631](https://github.com/PyTorchLightning/pytorch-lightning/pull/10631))
- Fixed TensorBoardLogger `SummaryWriter` not close before spawning the processes ([#10777](https://github.com/PyTorchLightning/pytorch-lightning/pull/10777))
- Fixed a consolidation error in Lite when attempting to save the state dict of a sharded optimizer ([#10746](https://github.com/PyTorchLightning/pytorch-lightning/pull/10746))
- Fixed `_compare_version` for python packages ([#10762](https://github.com/PyTorchLightning/pytorch-lightning/pull/10762))
-
- Fixed TensorBoardLogger `SummaryWriter` not close before spawning the processes ([#10777](https://github.com/PyTorchLightning/pytorch-lightning/pull/10777))
-
## [1.5.3] - 2021-11-24
### Fixed
- Fixed `ShardedTensor` state dict hook registration to check if torch distributed is available ([#10621](https://github.com/PyTorchLightning/pytorch-lightning/pull/10621))
- Fixed an issue with `self.log` not respecting a tensor's `dtype` when applying computations ([#10076](https://github.com/PyTorchLightning/pytorch-lightning/pull/10076))
- Fixed LigtningLite `_wrap_init` popping unexisting keys from DataLoader signature parameters ([#10613](https://github.com/PyTorchLightning/pytorch-lightning/pull/10613))
- Fixed signals being registered within threads ([#10610](https://github.com/PyTorchLightning/pytorch-lightning/pull/10610))
- Fixed an issue that caused Lightning to extract the batch size even though it was set by the user in `LightningModule.log` ([#10408](https://github.com/PyTorchLightning/pytorch-lightning/pull/10408))
- Fixed `Trainer(move_metrics_to_cpu=True)` not moving the evaluation logged results to CPU ([#10631](https://github.com/PyTorchLightning/pytorch-lightning/pull/10631))
- Fixed the `{validation,test}_step` outputs getting moved to CPU with `Trainer(move_metrics_to_cpu=True)` ([#10631](https://github.com/PyTorchLightning/pytorch-lightning/pull/10631))
- Fixed an issue with collecting logged test results with multiple dataloaders ([#10522](https://github.com/PyTorchLightning/pytorch-lightning/pull/10522))
## [1.5.2] - 2021-11-16