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Update Changelog for v1.5.1 (#10439) 

* Missing Changelogs

* Add 1.5.1 entry to changelog

Co-authored-by: Kaushik B <kaushikbokka@gmail.com>
Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com>
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Justus Schock 2021-11-09 22:25:54 +01:00 committed by GitHub
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@ -107,37 +107,30 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
### Fixed
- Fixed `apply_to_collection(defaultdict)` ([#10316](https://github.com/PyTorchLightning/pytorch-lightning/issues/10316))
- Fixed interception of `__init__` arguments for sub-classed DataLoader re-instantiation in Lite ([#10334](https://github.com/PyTorchLightning/pytorch-lightning/issues/10334))
- Fixed failure when `DataLoader(batch_size=None)` is passed ([#10345](https://github.com/PyTorchLightning/pytorch-lightning/issues/10345))
- Fixed `CombinedLoader` and `max_size_cycle` didn't receive a `DistributedSampler` ([#10374](https://github.com/PyTorchLightning/pytorch-lightning/issues/10374))
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## [1.5.1] - 2021-11-09
### Fixed
- Fixed `apply_to_collection(defaultdict)` ([#10316](https://github.com/PyTorchLightning/pytorch-lightning/issues/10316))
- Fixed failure when `DataLoader(batch_size=None)` is passed ([#10345](https://github.com/PyTorchLightning/pytorch-lightning/issues/10345))
- Fixed interception of `__init__` arguments for sub-classed DataLoader re-instantiation in Lite ([#10334](https://github.com/PyTorchLightning/pytorch-lightning/issues/10334))
- Fixed issue with pickling `CSVLogger` after a call to `CSVLogger.save` ([#10388](https://github.com/PyTorchLightning/pytorch-lightning/pull/10388))
- Fixed deadlocks for distributed training with `RichProgressBar` ([#10428](https://github.com/PyTorchLightning/pytorch-lightning/pull/10428))
- Fixed an import error being caused by `PostLocalSGD` when `torch.distributed` not available ([#10359](https://github.com/PyTorchLightning/pytorch-lightning/pull/10359))
- Fixed the logging with `on_step=True` in epoch-level hooks causing unintended side-effects. Logging with `on_step=True` in epoch-level hooks will now correctly raise an error ([#10409](https://github.com/PyTorchLightning/pytorch-lightning/pull/10409))
- Fixed dataloader workers with `persistent_workers` being deleted on every iteration ([#10434](https://github.com/PyTorchLightning/pytorch-lightning/pull/10434))
- Fixed deadlocks for distributed training with `RichProgressBar` ([#10428](https://github.com/PyTorchLightning/pytorch-lightning/pull/10428))
- Fixed an issue where the model wrapper in Lite converted non-floating point tensors to float ([#10429](https://github.com/PyTorchLightning/pytorch-lightning/pull/10429))
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- Fixed an issue with inferring the dataset type in fault-tolerant training ([#10432](https://github.com/PyTorchLightning/pytorch-lightning/pull/10432))
- Fixed dataloader workers with `persistent_workers` being deleted on every iteration ([#10434](https://github.com/PyTorchLightning/pytorch-lightning/pull/10434))
## [1.5.0] - 2021-11-02