code: def _plugin_to_compute_dtype(plugin: "Precision") -> torch.dtype:
      # TODO: integrate this into the precision plugins
      from lightning.fabric.plugins import (
          BitsandbytesPrecision,
          DeepSpeedPrecision,
          DoublePrecision,
          FSDPPrecision,
          HalfPrecision,
          MixedPrecision,
          Precision,
          TransformerEnginePrecision,
          XLAPrecision,
      )
  
      if not isinstance(plugin, Precision):
          raise RuntimeError(
              f"Expected a precision plugin, got {plugin}"
          )
      if isinstance(plugin, BitsandbytesPrecision):
          return plugin.dtype
      if isinstance(plugin, (HalfPrecision, MixedPrecision)):
          return plugin._desired_input_dtype
      if isinstance(plugin, DoublePrecision):
          return torch.double
      if isinstance(plugin, (XLAPrecision, DeepSpeedPrecision)):
          return plugin._desired_dtype
      if isinstance(plugin, TransformerEnginePrecision):
          return torch.int8
      if isinstance(plugin, FSDPPrecision):
          return (
              plugin.mixed_precision_config.reduce_dtype
              or torch.float32
          )
      if isinstance(plugin, Precision):
          return torch.float32
      raise NotImplementedError(plugin)
  
imports: from collections import deque
  from typing import TYPE_CHECKING, Any, Callable, Deque, Dict, List, Optional, TypeVar, Union
  import torch
  from typing_extensions import override
  from lightning.fabric.utilities.imports import _TORCH_GREATER_EQUAL_2_1
  from lightning.fabric.utilities.rank_zero import rank_zero_only, rank_zero_warn
label_desc: Use image node_id 3 for calling a global function with example usage: _plugin_to_compute_dtype(plugin) and returns: plugin, plugin, torch, plugin, torch, unknown, torch