docstr: Lazily set missing attributes on the previously instantiated strategy.
code: def _lazy_init_strategy(self) -> None:
      """Lazily set missing attributes on the previously instantiated strategy."""
      self.strategy.accelerator = self.accelerator
      if self.precision_plugin:
          self.strategy.precision_plugin = self.precision_plugin
      if self.checkpoint_io:
          self.strategy.checkpoint_io = self.checkpoint_io
      if hasattr(self.strategy, "cluster_environment"):
          if self.strategy.cluster_environment is None:
              self.strategy.cluster_environment = (
                  self.cluster_environment
              )
          self.cluster_environment = self.strategy.cluster_environment
      if hasattr(self.strategy, "parallel_devices"):
          if self.strategy.parallel_devices:
              self._parallel_devices = self.strategy.parallel_devices
          else:
              self.strategy.parallel_devices = self._parallel_devices
      if hasattr(self.strategy, "num_nodes"):
          self.strategy.num_nodes = self._num_nodes_flag
      if hasattr(self.strategy, "_layer_sync"):
          self.strategy._layer_sync = self._layer_sync
      if hasattr(self.strategy, "set_world_ranks"):
          self.strategy.set_world_ranks()
      self.strategy._configure_launcher()
  
      if (
          _IS_INTERACTIVE
          and self.strategy.launcher
          and not self.strategy.launcher.is_interactive_compatible
      ):
          raise MisconfigurationException(
              f"`Trainer(strategy={self._strategy_flag!r})` is not compatible with an interactive"
              " environment. Run your code as a script, or choose a notebook-compatible strategy:"
              f" `Trainer(strategy='ddp_notebook')`."
              " In case you are spawning processes yourself, make sure to include the Trainer"
              " creation inside the worker function."
          )
  
      # TODO: should be moved to _check_strategy_and_fallback().
      # Current test check precision first, so keep this check here to meet error order
      if isinstance(
          self.accelerator, XLAAccelerator
      ) and not isinstance(
          self.strategy, (SingleDeviceXLAStrategy, XLAStrategy)
      ):
          raise ValueError(
              "The `XLAAccelerator` can only be used with a `SingleDeviceXLAStrategy` or `XLAStrategy`,"
              f" found {self.strategy.__class__.__name__}."
          )
  
      if _habana_available_and_importable():
          from lightning_habana import (
              HPUAccelerator,
              HPUParallelStrategy,
              SingleHPUStrategy,
          )
  
          if isinstance(
              self.accelerator, HPUAccelerator
          ) and not isinstance(
              self.strategy, (SingleHPUStrategy, HPUParallelStrategy)
          ):
              raise ValueError(
                  "The `HPUAccelerator` can only be used with a `SingleHPUStrategy` or `HPUParallelStrategy`,"
                  f" found {self.strategy.__class__.__name__}."
              )
  
imports: import logging
  import os
  from collections import Counter
  from typing import Dict, List, Literal, Optional, Union
  import torch
  from lightning.fabric.connector import _PRECISION_INPUT, _PRECISION_INPUT_STR, _convert_precision_to_unified_args
  from lightning.fabric.plugins.environments import ClusterEnvironment, LightningEnvironment, LSFEnvironment, MPIEnvironment, SLURMEnvironment, TorchElasticEnvironment
  from lightning.fabric.utilities.device_parser import _determine_root_gpu_device
  from lightning.fabric.utilities.imports import _IS_INTERACTIVE
  from lightning.pytorch.accelerators import AcceleratorRegistry
  from lightning.pytorch.accelerators.accelerator import Accelerator
  from lightning.pytorch.accelerators.cuda import CUDAAccelerator
  from lightning.pytorch.accelerators.mps import MPSAccelerator
  from lightning.pytorch.accelerators.xla import XLAAccelerator
  from lightning.pytorch.plugins import _PLUGIN_INPUT, CheckpointIO, DeepSpeedPrecision, DoublePrecision, FSDPPrecision, HalfPrecision, MixedPrecision, Precision, TransformerEnginePrecision, XLAPrecision
  from lightning.pytorch.plugins.layer_sync import LayerSync, TorchSyncBatchNorm
  from lightning.pytorch.strategies import DDPStrategy, DeepSpeedStrategy, FSDPStrategy, ParallelStrategy, SingleDeviceStrategy, SingleDeviceXLAStrategy, Strategy, StrategyRegistry, XLAStrategy
  from lightning.pytorch.strategies.ddp import _DDP_FORK_ALIASES
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from lightning.pytorch.utilities.imports import _LIGHTNING_BAGUA_AVAILABLE, _LIGHTNING_COLOSSALAI_AVAILABLE, _graphcore_available_and_importable, _habana_available_and_importable
  from lightning.pytorch.utilities.rank_zero import rank_zero_info, rank_zero_warn
label_desc: Use image node_id 14 for calling the _AcceleratorConnector obj's underlying member method code with example usage: obj._lazy_init_strategy() without return types