class_docstr: Plugin for Automatic Mixed Precision (AMP) training with ``torch.autocast``.
  
  Args:
      precision: Whether to use ``torch.float16`` (``'16-mixed'``) or ``torch.bfloat16`` (``'bf16-mixed'``).
      device: The device for ``torch.autocast``.
      scaler: An optional :class:`torch.cuda.amp.GradScaler` to use.
code: def forward_context(self) -> ContextManager:
      return torch.autocast(
          self.device, dtype=self._desired_input_dtype
      )
  
imports: from typing import Any, ContextManager, Dict, Literal, Optional
  import torch
  from lightning_utilities.core.apply_func import apply_to_collection
  from torch import Tensor
  from torch.nn import Module
  from torch.optim import LBFGS, Optimizer
  from typing_extensions import override
  from lightning.fabric.accelerators.cuda import _patch_cuda_is_available
  from lightning.fabric.plugins.precision.precision import Precision
  from lightning.fabric.plugins.precision.utils import _convert_fp_tensor
  from lightning.fabric.utilities.types import Optimizable
label_desc: Use image node_id 2 for calling the MixedPrecision obj's underlying member method code with example usage: obj.forward_context() and returns: torch