code: def _parse_tpu_devices(
      devices: Union[int, str, List[int]]
  ) -> Union[int, List[int]]:
      """Parses the TPU devices given in the format as accepted by the
      :class:`~lightning.pytorch.trainer.trainer.Trainer` and :class:`~lightning.fabric.Fabric`.
  
      Args:
          devices: An int of 1 or string '1' indicates that 1 core with multi-processing should be used
              An int 8 or string '8' indicates that all 8 cores with multi-processing should be used
              A single element list of int or string can be used to indicate the specific TPU core to use.
  
      Returns:
          A list of tpu cores to be used.
  
      """
      _check_data_type(devices)
      if isinstance(devices, str):
          devices = _parse_tpu_devices_str(devices)
      _check_tpu_devices_valid(devices)
      return devices
  
imports: import functools
  from typing import Any, List, Union
  import torch
  from lightning_utilities.core.imports import RequirementCache
  from typing_extensions import override
  from lightning.fabric.accelerators.accelerator import Accelerator
  from lightning.fabric.accelerators.registry import _AcceleratorRegistry
  from lightning.fabric.utilities.device_parser import _check_data_type
label_desc: Use image node_id 2 for calling a global function with example usage: _parse_tpu_devices(devices) and returns: devices