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: Hook to run the optimizer step.
docstr_tok: ["Hook","to","run","the","optimizer","step","."]
code: def optimizer_step(
      self,
      optimizer: Optimizable,
      **kwargs: Any,
  ) -> Any:
      """Hook to run the optimizer step."""
      return optimizer.step(**kwargs)
  
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 10 for calling the Precision obj's underlying member method code with example usage: obj.optimizer_step(optimizer) and returns: optimizer