code: def _setup_envvars_for_cluster() -> bool:
      """
      Prepares to run on cluster if relevant.
      Returns whether FAIR cluster in use.
      """
      # TODO: How much of this is needed in general?
  
      try:
          import submitit
      except ImportError:
          return False
  
      try:
          # Only needed when launching on cluster with slurm and submitit
          job_env = submitit.JobEnvironment()
      except RuntimeError:
          return False
  
      os.environ["LOCAL_RANK"] = str(job_env.local_rank)
      os.environ["RANK"] = str(job_env.global_rank)
      os.environ["WORLD_SIZE"] = str(job_env.num_tasks)
      os.environ["MASTER_ADDR"] = "localhost"
      os.environ["MASTER_PORT"] = "42918"
      logger.info(
          "Num tasks %s, global_rank %s"
          % (str(job_env.num_tasks), str(job_env.global_rank))
      )
  
      return True
  
imports: import logging
  import os
  import warnings
  from dataclasses import field
  import hydra
  import torch
  from accelerate import Accelerator
  from omegaconf import DictConfig, OmegaConf
  from packaging import version
  from pytorch3d.implicitron.dataset.data_source import DataSourceBase, ImplicitronDataSource
  from pytorch3d.implicitron.models.base_model import ImplicitronModelBase
  from pytorch3d.implicitron.models.renderer.multipass_ea import MultiPassEmissionAbsorptionRenderer
  from pytorch3d.implicitron.models.renderer.ray_sampler import AdaptiveRaySampler
  from pytorch3d.implicitron.tools.config import Configurable, expand_args_fields, remove_unused_components, run_auto_creation
  from .impl.model_factory import ModelFactoryBase
  from .impl.optimizer_factory import OptimizerFactoryBase
  from .impl.training_loop import TrainingLoopBase
  from .impl.utils import seed_all_random_engines
label_desc: Use image node_id 1 for calling a global function with example usage: _setup_envvars_for_cluster() and returns: True, False, False