code: def _is_multiple(component):
      """Checks if a component (optimizer, model, etc) is not singular."""
      return (
          isinstance(component, collections.Iterable)
          and len(component) > 1
      )
  
imports: import collections
  import torch
  import numpy
  from zoo.orca.learn.metrics import Metric
  from zoo.orca.learn.pytorch.utils import TimerCollection, AverageMeterCollection, NUM_SAMPLES
  from zoo.orca.learn.pytorch.constants import SCHEDULER_STEP_EPOCH, NUM_STEPS, SCHEDULER_STEP_BATCH, SCHEDULER_STEP
  from torch.nn.parallel import DistributedDataParallel
label_desc: Use image node_id 1 for calling a global function with example usage: _is_multiple(component) and returns: unknown