class_docstr: Accelerator for XLA devices, normally TPUs.
  
  .. warning::  Use of this accelerator beyond import and instantiation is experimental.
class_docstr_tok: ["Accelerator","for","XLA","devices",",","normally","TPUs",".","..","warning",":",":","Use","of","this","accelerator","beyond","import","and","instantiation","is","experimental","."]
docstr: Gets parallel devices for the Accelerator.
docstr_tok: ["Gets","parallel","devices","for","the","Accelerator","."]
code: def get_parallel_devices(
      devices: Union[int, List[int]]
  ) -> List[torch.device]:
      """Gets parallel devices for the Accelerator."""
      devices = _parse_tpu_devices(devices)
      if isinstance(devices, int):
          return [torch.device("xla", i) for i in range(devices)]
      # list of devices is not supported, just a specific index, fine to access [0]
      return [torch.device("xla", devices[0])]
  
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 5 for calling the XLAAccelerator obj's underlying member method code with example usage: obj.get_parallel_devices(devices) and returns: list, unknown