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Update Changelog with weekly releases (#9056)

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Kaushik B 2021-08-24 00:56:22 +05:30 committed by GitHub
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@ -180,57 +180,50 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
### Fixed
- Ensure the existence of `DDPPlugin._sync_dir` in `reconciliate_processes` ([#8939](https://github.com/PyTorchLightning/pytorch-lightning/pull/8939))
- Restore original loaders if replaced by entrypoint ([#8885](https://github.com/PyTorchLightning/pytorch-lightning/pull/8885))
- Fixed `trainer.fit_loop.split_idx` always returning `None` ([#8601](https://github.com/PyTorchLightning/pytorch-lightning/pull/8601))
- Fixed references for `ResultCollection.extra` ([#8622](https://github.com/PyTorchLightning/pytorch-lightning/pull/8622))
- Fixed reference issues during epoch end result collection ([#8621](https://github.com/PyTorchLightning/pytorch-lightning/pull/8621))
- Fixed horovod auto-detection when horovod is not installed and the launcher is `mpirun` ([#8610](https://github.com/PyTorchLightning/pytorch-lightning/pull/8610))
- Fixed an issue with `training_step` outputs not getting collected correctly for `training_epoch_end` ([#8613](https://github.com/PyTorchLightning/pytorch-lightning/pull/8613))
- Fixed save/load/resume from checkpoint for DeepSpeed Plugin (
[#8397](https://github.com/PyTorchLightning/pytorch-lightning/pull/8397),
[#8644](https://github.com/PyTorchLightning/pytorch-lightning/pull/8644),
[#8627](https://github.com/PyTorchLightning/pytorch-lightning/pull/8627))
- Fixed recursive call for `apply_to_collection(include_none=False)` ([#8719](https://github.com/PyTorchLightning/pytorch-lightning/pull/8719))
- Fixed an issue with logger outputs not being finalized correctly after prediction runs ([#8333](https://github.com/PyTorchLightning/pytorch-lightning/issues/8333))
- Fixed `StochasticWeightAveraging` with a list of learning rates not applying them to each param group ([#8747](https://github.com/PyTorchLightning/pytorch-lightning/issues/8747))
- Fixed truncated backprop through time enablement when set as a property on the LightningModule and not the Trainer ([#8804](https://github.com/PyTorchLightning/pytorch-lightning/pull/8804/))
- Fixed plateau scheduler stepping on incomplete epoch ([#8861](https://github.com/PyTorchLightning/pytorch-lightning/pull/8861))
- Fixed infinite loop with CycleIterator and multiple loaders ([#8889](https://github.com/PyTorchLightning/pytorch-lightning/pull/8889))
- Fixed lost reference to `_Metadata` object in `ResultMetricCollection` ([#8932](https://github.com/PyTorchLightning/pytorch-lightning/pull/8932))
- Fixed bug where data-loading functions where not getting the correct running stage passed ([#8858](https://github.com/PyTorchLightning/pytorch-lightning/pull/8858))
- Fixed a bug in the binary search mode of auto batch size scaling where exception was thrown if the first trainer run resulted in OOM ([#8954](https://github.com/PyTorchLightning/pytorch-lightning/pull/8954))
## [1.4.3] - 2021-08-17
- Fixed plateau scheduler stepping on incomplete epoch ([#8861](https://github.com/PyTorchLightning/pytorch-lightning/pull/8861))
- Fixed infinite loop with `CycleIterator` and multiple loaders ([#8889](https://github.com/PyTorchLightning/pytorch-lightning/pull/8889))
- Fixed `StochasticWeightAveraging` with a list of learning rates not applying them to each param group ([#8747](https://github.com/PyTorchLightning/pytorch-lightning/issues/8747))
- Restore original loaders if replaced by entrypoint ([#8885](https://github.com/PyTorchLightning/pytorch-lightning/pull/8885))
- Fixed lost reference to `_Metadata` object in `ResultMetricCollection` ([#8932](https://github.com/PyTorchLightning/pytorch-lightning/pull/8932))
- Ensure the existence of `DDPPlugin._sync_dir` in `reconciliate_processes` ([#8939](https://github.com/PyTorchLightning/pytorch-lightning/pull/8939))
## [1.4.2] - 2021-08-10
- Fixed recursive call for `apply_to_collection(include_none=False)` ([#8719](https://github.com/PyTorchLightning/pytorch-lightning/pull/8719))
- Fixed truncated backprop through time enablement when set as a property on the LightningModule and not the Trainer ([#8804](https://github.com/PyTorchLightning/pytorch-lightning/pull/8804/))
- Fixed comments and exception message for metrics_to_scalars ([#8782](https://github.com/PyTorchLightning/pytorch-lightning/pull/8782/))
- Fixed typo error in LightningLoggerBase.after_save_checkpoint docstring ([#8737](https://github.com/PyTorchLightning/pytorch-lightning/pull/8737/))
## [1.4.1] - 2021-08-03
- Fixed `trainer.fit_loop.split_idx` always returning `None` ([#8601](https://github.com/PyTorchLightning/pytorch-lightning/pull/8601))
- Fixed references for `ResultCollection.extra` ([#8622](https://github.com/PyTorchLightning/pytorch-lightning/pull/8622))
- Fixed reference issues during epoch end result collection ([#8621](https://github.com/PyTorchLightning/pytorch-lightning/pull/8621))
- Fixed horovod auto-detection when horovod is not installed and the launcher is `mpirun` ([#8610](https://github.com/PyTorchLightning/pytorch-lightning/pull/8610))
- Fixed an issue with `training_step` outputs not getting collected correctly for `training_epoch_end` ([#8613](https://github.com/PyTorchLightning/pytorch-lightning/pull/8613))
- Fixed distributed types support for CPUs ([#8667](https://github.com/PyTorchLightning/pytorch-lightning/pull/8667))
- Fixed a deadlock issue with DDP and torchelastic ([#8655](https://github.com/PyTorchLightning/pytorch-lightning/pull/8655))
- Fixed `accelerator=ddp` choice for CPU ([#8645](https://github.com/PyTorchLightning/pytorch-lightning/pull/8645))
## [1.4.0] - 2021-07-27
### Added