code: def is_interactive_compatible(self) -> bool:
      return False
  
imports: import os
  import warnings
  from typing import Callable, Dict, List, Union, Any, Optional
  from collections import defaultdict
  import ray
  from ray.util.ml_utils.util import find_free_port
  import torch
  from torch.optim.lr_scheduler import _LRScheduler
  from torch.nn.parallel.distributed import DistributedDataParallel
  import pytorch_lightning
  from pytorch_lightning.core.datamodule import LightningDataModule
  from pytorch_lightning.trainer.states import TrainerFn
  from pytorch_lightning.utilities import rank_zero_only
  from pytorch_lightning.utilities.apply_func import move_data_to_device
  from pytorch_lightning.strategies.launchers import _SpawnLauncher
  from pytorch_lightning.strategies import DDPSpawnStrategy
  from pytorch_lightning.core.optimizer import _configure_schedulers_automatic_opt
  from pytorch_lightning.core.optimizer import _configure_schedulers_manual_opt
  from pytorch_lightning.core.optimizer import _set_scheduler_opt_idx, _validate_scheduler_api
  from pytorch_lightning.core.optimizer import LightningOptimizer
  from .ray_envbase import RayEnvironment
  from bigdl.nano.utils.common import invalidInputError
  from bigdl.nano.utils.pytorch import TORCH_VERSION_LESS_1_12
  from bigdl.nano.deps.ipex.ipex_api import ipex_optimize
  from bigdl.nano.pytorch.dispatcher import _get_patch_status
label_desc: Use image node_id 2 for calling the _RayLauncher obj's underlying member method code with example usage: obj.is_interactive_compatible() and returns: False