* introduce , udpate tests
* update CHANGELOG.md
* change staticmethod and hook attribute naming
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* Revert back TPUSpawn changes
* Update test
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* Add test for non-existing mode, the test should fail if something different from `power` or `binsearch` is passed.
* Add newline.
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* Update tests/tuner/test_scale_batch_size.py
* Update pytorch_lightning/tuner/batch_size_scaling.py
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* fixed bug where tuner would not tune lr if also tuning batch_size
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* Update code
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* More property updates
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It is recommended to use for Enums since they are singletons, however, since the LightningEnum subclasses str, it's not a good idea in case a user sets the state/stage with a str
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* disable training when zero num_train_batches with limit_train_batches
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Danielle Pintz