* Add required states for resumed ModelCheckpoint GC
* Add backwards compatibility with legacy cktps
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* Add test to check if attrs are written to ckpt
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* Test if attributes are restored properly from ckpt
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* Fix broken `test_callbacks_state_fit_ckpt_path`
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Note there may be a better way of doing this, where `ModelCheckpoint`
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* Update test_restore.py
* Update test_restore.py
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* Check that all attributes are restored properly
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* Convert to proper unit test
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* Refactor `test_mode_checkpoint_saveload_ckpt`
* First save, then load ckpt.
* Instantiate ModelCheckpoint twice.
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* remove training_step() from accelerator
* remove test, val, predict step
* move
* wip
* accelerator references
* cpu training
* rename occurrences in tests
* update tests
* pull from adrian's commit
* fix changelog merge pro
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* fix doc build and some mypy
* fix lite
* fix gpu setup environment
* support customized ttp and accelerator
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* fix tpu error check
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* fix precision_plugin initialization to recognisze cusomized plugin
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* Update bug_report_model.py
* Update accelerator_connector.py
* update changelog
* allow shorthand typing references to pl.Accelerator
* rename helper method and add docstring
* fix typing
* Update pytorch_lightning/trainer/connectors/accelerator_connector.py
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* Update tests/accelerators/test_accelerator_connector.py
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* Update tests/accelerators/test_cpu.py
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* fix pre commit complaint
* update typing to long ugly path
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* remove todo comments
* docformatter
* Update pytorch_lightning/plugins/training_type/training_type_plugin.py
* revert test changes
* improve custom plugin examples
* remove redundant call to ttp attribute
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