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The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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## [1.5.3] - 2021-11-23
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## [1.5.3] - 2021-11-24
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### Fixed
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- When a tensor is logged with `self.log`, run its computation with the same `dtype` ([#10076](https://github.com/PyTorchLightning/pytorch-lightning/pull/10076))
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- Fixed `ShardedTensor` state dict hook registration to check if torch distributed is available ([#10621](https://github.com/PyTorchLightning/pytorch-lightning/pull/10621))
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- 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 an issue with `self.log` not respecting a tensor's `dtype` when applying computations ([#10076](https://github.com/PyTorchLightning/pytorch-lightning/pull/10076))
- Fixed signals being registered within threads ([#10610](https://github.com/PyTorchLightning/pytorch-lightning/pull/10610))
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- 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))
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- Fixed `Trainer(move_metrics_to_cpu=True)` not moving the evaluation logged results to CPU ([#10631](https://github.com/PyTorchLightning/pytorch-lightning/pull/10631))
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- 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))
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- Fixed signals being registered within threads ([#10610](https://github.com/PyTorchLightning/pytorch-lightning/pull/10610))
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- Fixed an issue with collecting logged test results with multiple dataloaders ([#10522](https://github.com/PyTorchLightning/pytorch-lightning/pull/10522))
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