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kaushikb11Borda
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update lightning version to v1.2.2
remove unneccessary import Update CHANGELOG
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CHANGELOG.md

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### Added
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- Added `checkpoint` parameter to callback's `on_save_checkpoint` hook ([#6072](https://github.com/PyTorchLightning/pytorch-lightning/pull/6072))
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### Changed
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- Changed the order of `backward`, `step`, `zero_grad` to `zero_grad`, `backward`, `step` ([#6147](https://github.com/PyTorchLightning/pytorch-lightning/pull/6147))
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- Changed default for DeepSpeed CPU Offload to False, due to prohibitively slow speeds at smaller scale ([#6262](https://github.com/PyTorchLightning/pytorch-lightning/pull/6262))
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### Deprecated
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### Removed
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### Fixed
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- Fixed epoch level schedulers not being called when `val_check_interval < 1.0` ([#6075](https://github.com/PyTorchLightning/pytorch-lightning/pull/6075))
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- Fixed multiple early stopping callbacks ([#6197](https://github.com/PyTorchLightning/pytorch-lightning/pull/6197))
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- Fixed incorrect usage of `detach()`, `cpu()`, `to()` ([#6216](https://github.com/PyTorchLightning/pytorch-lightning/pull/6216))
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- Fixed LBFGS optimizer support which didn't converge in automatic optimization ([#6147](https://github.com/PyTorchLightning/pytorch-lightning/pull/6147))
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- Prevent `WandbLogger` from dropping values ([#5931](https://github.com/PyTorchLightning/pytorch-lightning/pull/5931))
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- Fixed error thrown when using valid distributed mode in multi node ([#6297](https://github.com/PyTorchLightning/pytorch-lightning/pull/6297)
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pytorch_lightning/__init__.py

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import time
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_this_year = time.strftime("%Y")
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__version__ = '1.2.1'
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__version__ = '1.2.2'
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__author__ = 'William Falcon et al.'
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__author_email__ = '[email protected]'
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__license__ = 'Apache-2.0'

tests/accelerators/test_accelerator_connector.py

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from pytorch_lightning.plugins.environments import ClusterEnvironment, SLURMEnvironment, TorchElasticEnvironment
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from pytorch_lightning.utilities import _DEEPSPEED_AVAILABLE
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from pytorch_lightning.utilities.exceptions import MisconfigurationException
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from tests.helpers.boring_model import BoringModel
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