class_docstr: Base class for all plugins handling the precision-specific parts of the training.
  
  The class attribute precision must be overwritten in child classes. The default value reflects fp32 training.
docstr: This method is called to teardown the training process.
  
  It is the right place to release memory and free other resources.
docstr_tok: ["This","method","is","called","to","teardown","the","training","process",".","It","is","the","right","place","to","release","memory","and","free","other","resources","."]
code: def teardown(self) -> None:
      """This method is called to teardown the training process.
  
      It is the right place to release memory and free other resources.
  
      """
  
imports: from contextlib import nullcontext
  from typing import Any, ContextManager, Dict, Literal, Optional, Union
  from torch import Tensor
  from torch.nn import Module
  from torch.optim import Optimizer
  from lightning.fabric.utilities.types import _PARAMETERS, Optimizable
label_desc: Use image node_id 15 for calling the Precision obj's underlying member method code with example usage: obj.teardown() without return types