* 1/n Integrate Device Specific Accelerator Logic with strategy - move batch_to_device to strategy
* add changelog
* add model is not none check
* Apply suggestions from code review
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* Update CHANGELOG.md
* Update test_datamodules.py
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* Update dp.py
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* Update parsing.py
* add todo (for single arg)
* unblock non container single arg
* init test
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* Update CHANGELOG.md
* pep8 line length
* Update pytorch_lightning/utilities/parsing.py
* remove dict namespace conversion
* add omegaconf support
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* add dict test
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* add omegaconf test
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* Update pytorch_lightning/utilities/parsing.py
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* Update pytorch_lightning/utilities/parsing.py
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* added support and checks required for use of datamodule as python dataclass
* made changes required for dataclass support for LightningDataModule and required tests
* made the code compliant with future releases
* edited tests - removed training call. left dataclass decorator to defaults.
* added tests to check for multilevel inheritence and make sure init isn't called on the parent of defined class
* modified __new__ to ensure calling of init on LightningDataModule impliciltly
* added relevant tests for multilevel inheritence cases
* removed default values from tests
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* Add `ShardedTensor` support in `LightningModule`
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