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- Added global step indexing to the checkpoint name for a better sub-epoch checkpointing experience ([#3807](https://github.com/PyTorchLightning/pytorch-lightning/pull/3807))
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- Added optimizer hooks in callbacks ([#4379](https://github.com/PyTorchLightning/pytorch-lightning/pull/4379))
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- Added option to log momentum ([#4384](https://github.com/PyTorchLightning/pytorch-lightning/pull/4384))
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- Added `fsspec` to tuner ([#4458](https://github.com/PyTorchLightning/pytorch-lightning/pull/4458))
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- Added metrics aggregation in Horovod and fixed early stopping ([#3775](https://github.com/PyTorchLightning/pytorch-lightning/pull/3775))
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- Added `manual_optimizer_step` which work with `AMP Native` and `accumulated_grad_batches` ([#4485](https://github.com/PyTorchLightning/pytorch-lightning/pull/4485))
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- Added `persistent(mode)` method to metrics, to enable and disable metric states being added to `state_dict` ([#4482](https://github.com/PyTorchLightning/pytorch-lightning/pull/4482))
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- Added congratulations at the end of our notebooks ([#4555](https://github.com/PyTorchLightning/pytorch-lightning/pull/4555))
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### Changed
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### Deprecated
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### Removed
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- Changed `fsspec` to tuner ([#4458](https://github.com/PyTorchLightning/pytorch-lightning/pull/4458))
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- Unify sLURM/TorchElastic under backend plugin ([#4578](https://github.com/PyTorchLightning/pytorch-lightning/pull/4578),
- Fixed feature-lack in hpc load ([#4526](https://github.com/PyTorchLightning/pytorch-lightning/pull/4526))
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- Fixed metrics states being overridden in ddp mode ([#4482](https://github.com/PyTorchLightning/pytorch-lightning/pull/4482))
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- Fixed feature-lack in `hpc_load` ([#4526](https://github.com/PyTorchLightning/pytorch-lightning/pull/4526))
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- Fixed metrics states being overridden in DDP mode ([#4482](https://github.com/PyTorchLightning/pytorch-lightning/pull/4482))
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- Fixed `lightning_getattr`, `lightning_hasattr` not finding the correct attributes in datamodule ([#4347](https://github.com/PyTorchLightning/pytorch-lightning/pull/4347))
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- Fixed automatic optimization AMP by `manual_optimization_step` ([#4485](https://github.com/PyTorchLightning/pytorch-lightning/pull/4485))
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- Replace `MisconfigurationException` with warning in `ModelCheckpoint` Callback ([#4560](https://github.com/PyTorchLightning/pytorch-lightning/pull/4560))
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- Fixed logged keys in mlflow logger ([#4412](https://github.com/PyTorchLightning/pytorch-lightning/pull/4412))
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- Fixed `is_picklable` by catching `AttributeError` ([#4508](https://github.com/PyTorchLightning/pytorch-lightning/pull/4508))
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