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1.5.2 release
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CHANGELOG.md

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@@ -11,37 +11,13 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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- Fixed `CombinedLoader` and `max_size_cycle` didn't receive a `DistributedSampler` ([#10374](https://github.com/PyTorchLightning/pytorch-lightning/issues/10374))
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- Fixed an issue where class or init-only variables of dataclasses were passed to the dataclass constructor in `utilities.apply_to_collection` ([#9702](https://github.com/PyTorchLightning/pytorch-lightning/issues/9702))
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- Fixed `to_torchscript()` causing false positive deprecation warnings ([#10470](https://github.com/PyTorchLightning/pytorch-lightning/issues/10470))
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- Fixed `isinstance` not working with `init_meta_context`, materialized model not being moved to the device ([#10493](https://github.com/PyTorchLightning/metrics/pull/10493))
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- Fixed an issue that prevented the Trainer to shutdown workers when execution is interrupted due to failure([#10463](https://github.com/PyTorchLightning/pytorch-lightning/issues/10463))
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- Squeeze the early stopping monitor to remove empty tensor dimensions ([#10461](https://github.com/PyTorchLightning/pytorch-lightning/issues/10461))
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- Fixed sampler replacement logic with `overfit_batches` to only replace the sample when `SequentialSampler` is not used ([#10486](https://github.com/PyTorchLightning/pytorch-lightning/issues/10486))
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- Fixed scripting causing false positive deprecation warnings ([#10470](https://github.com/PyTorchLightning/pytorch-lightning/pull/10470), [#10555](https://github.com/PyTorchLightning/pytorch-lightning/pull/10555))
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- Fixed `isinstance` not working with `init_meta_context`, materialized model not being moved to the device ([#10493](https://github.com/PyTorchLightning/metrics/pull/10493))
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- Fixed an issue that prevented the Trainer to shutdown workers when execution is interrupted due to failure([#10463](https://github.com/PyTorchLightning/pytorch-lightning/issues/10463))
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- Squeeze the early stopping monitor to remove empty tensor dimensions ([#10461](https://github.com/PyTorchLightning/pytorch-lightning/issues/10461))
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## [1.5.1] - 2021-11-09
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### Fixed

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