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Nov 17, 2021
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Update changelog after 1.5.2 release #10590

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update changelog after 1.5.2 release
awaelchli Nov 17, 2021
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[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Nov 17, 2021
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Merge branch 'master' into docs/1.5.2-changelog
awaelchli Nov 17, 2021
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22 changes: 11 additions & 11 deletions CHANGELOG.md
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Expand Up @@ -142,32 +142,32 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).

### Fixed

- 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))

-

- Fixed `CombinedLoader` and `max_size_cycle` didn't receive a `DistributedSampler` ([#10374](https://github.com/PyTorchLightning/pytorch-lightning/issues/10374))

-

- 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))

-

- Fixed `isinstance` not working with `init_meta_context`, materialized model not being moved to the device ([#10493](https://github.com/PyTorchLightning/metrics/pull/10493))


- 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))
## [1.5.2] - 2021-11-16

### Fixed

- Fixed `CombinedLoader` and `max_size_cycle` didn't receive a `DistributedSampler` ([#10374](https://github.com/PyTorchLightning/pytorch-lightning/issues/10374))
- 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))
- Fixed `isinstance` not working with `init_meta_context`, materialized model not being moved to the device ([#10493](https://github.com/PyTorchLightning/metrics/pull/10493))
- 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))
- Squeeze the early stopping monitor to remove empty tensor dimensions ([#10461](https://github.com/PyTorchLightning/pytorch-lightning/issues/10461))


- 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))


- 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))
- Do not fail if batch size could not be inferred for logging when using DeepSpeed ([#10438](https://github.com/PyTorchLightning/pytorch-lightning/issues/10438))
- Fixed propagation of device and dtype information to submodules of LightningLite when they inherit from `DeviceDtypeModuleMixin` ([#10559](https://github.com/PyTorchLightning/pytorch-lightning/issues/10559))


-

## [1.5.1] - 2021-11-09

### Fixed
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