code: def _check_gpus_in_resources(
      resources: Optional[Union[Dict, PlacementGroupFactory]]
  ) -> bool:
      if not resources:
          return False
  
      if isinstance(resources, PlacementGroupFactory):
          return bool(resources.required_resources.get("GPU", None))
  
      if isinstance(resources, dict):
          return bool(resources.get("gpu", None))
  
imports: import abc
  import copy
  import datetime
  import logging
  import os
  import signal
  import sys
  import threading
  import time
  import warnings
  from typing import Any, Callable, Dict, Mapping, Optional, Sequence, Type, Union, TYPE_CHECKING
  import ray
  from ray.air._internal import usage
  from ray.air._internal.usage import AirEntrypoint
  from ray.air.util.node import _force_on_current_node
  from ray.train import CheckpointConfig, SyncConfig
  from ray.train.constants import RAY_CHDIR_TO_TRIAL_DIR, _DEPRECATED_VALUE
  from ray.tune.analysis import ExperimentAnalysis
  from ray.tune.callback import Callback
  from ray.tune.error import TuneError
  from ray.tune.execution.tune_controller import TuneController
  from ray.tune.experiment import Experiment, _convert_to_experiment_list
  from ray.tune.experimental.output import get_air_verbosity, IS_NOTEBOOK, AirVerbosity
  from ray.tune.impl.placeholder import create_resolvers_map, inject_placeholders
  from ray.tune.logger import TBXLoggerCallback
  from ray.tune.progress_reporter import ProgressReporter, _detect_reporter, _detect_progress_metrics, _prepare_progress_reporter_for_ray_client, _stream_client_output
  from ray.tune.registry import get_trainable_cls, is_function_trainable
  from ray.tune.schedulers import FIFOScheduler, PopulationBasedTraining, PopulationBasedTrainingReplay, ResourceChangingScheduler, TrialScheduler
  from ray.tune.schedulers.util import _set_search_properties_backwards_compatible
  from ray.tune.stopper import Stopper
  from ray.tune.search import BasicVariantGenerator, SearchAlgorithm, SearchGenerator, ConcurrencyLimiter, Searcher, create_searcher
  from ray.tune.search.util import _set_search_properties_backwards_compatible
  from ray.tune.search.variant_generator import _has_unresolved_values
  from ray.tune.trainable import Trainable
  from ray.tune.experiment import Trial
  from ray.tune.utils.callback import _create_default_callbacks
  from ray.tune.utils.log import Verbosity, has_verbosity, set_verbosity
  from ray.tune.execution.placement_groups import PlacementGroupFactory
  from ray.util.annotations import PublicAPI
  from ray.util.queue import Queue
label_desc: Use image node_id 4 for calling a global function with example usage: _check_gpus_in_resources(resources) and returns: False, bool, bool