class_docstr: Strategy for training on a single XLA device.
code: def register_strategies(
      cls, strategy_registry: _StrategyRegistry
  ) -> None:
      strategy_registry.register(
          "single_xla", cls, description=cls.__name__
      )
  
imports: import os
  from typing import Optional, Union
  import torch
  from typing_extensions import override
  import lightning.pytorch
  from lightning.fabric.accelerators.xla import _XLA_AVAILABLE
  from lightning.fabric.plugins import XLACheckpointIO
  from lightning.fabric.strategies import _StrategyRegistry
  from lightning.fabric.utilities.types import _DEVICE
  from lightning.pytorch.plugins.io.wrapper import _WrappingCheckpointIO
  from lightning.pytorch.plugins.precision.xla import XLAPrecision
  from lightning.pytorch.strategies.single_device import SingleDeviceStrategy
  from lightning.pytorch.utilities import find_shared_parameters, set_shared_parameters
label_desc: Use image node_id 7 for calling the SingleDeviceXLAStrategy obj's underlying member method code with example usage: obj.register_strategies(cls, strategy_registry) without return types