class_docstr: Accelerator for Metal Apple Silicon GPU devices.
  
  .. warning::  Use of this accelerator beyond import and instantiation is experimental.
class_docstr_tok: ["Accelerator","for","Metal","Apple","Silicon","GPU","devices",".","..","warning",":",":","Use","of","this","accelerator","beyond","import","and","instantiation","is","experimental","."]
docstr: Get the devices when set to auto.
docstr_tok: ["Get","the","devices","when","set","to","auto","."]
code: def auto_device_count() -> int:
      """Get the devices when set to auto."""
      return 1
  
imports: from typing import Any, Dict, List, Optional, Union
  import torch
  from typing_extensions import override
  from lightning.fabric.accelerators import _AcceleratorRegistry
  from lightning.fabric.accelerators.mps import MPSAccelerator
  from lightning.fabric.utilities.device_parser import _parse_gpu_ids
  from lightning.fabric.utilities.types import _DEVICE
  from lightning.pytorch.accelerators.accelerator import Accelerator
  from lightning.pytorch.accelerators.cpu import _PSUTIL_AVAILABLE
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
label_desc: Use image node_id 6 for calling the MPSAccelerator obj's underlying member method code with example usage: obj.auto_device_count() and returns: int