code: def _create_dataloader(self):
      if self.curriculum_learning_enabled:
          if self.collate_fn is None:
              self.dataloader = DataLoader(
                  self.dataset,
                  pin_memory=self.pin_memory,
                  batch_sampler=self.data_sampler,
                  num_workers=self.num_local_io_workers,
              )
          else:
              self.dataloader = DataLoader(
                  self.dataset,
                  pin_memory=self.pin_memory,
                  batch_sampler=self.data_sampler,
                  collate_fn=self.collate_fn,
                  num_workers=self.num_local_io_workers,
              )
          self.data_iterator = iter(self.dataloader)
          return self.dataloader
      else:
          if self.collate_fn is None:
              self.dataloader = DataLoader(
                  self.dataset,
                  batch_size=self.batch_size,
                  pin_memory=self.pin_memory,
                  sampler=self.data_sampler,
                  num_workers=self.num_local_io_workers,
                  drop_last=self.dataloader_drop_last,
              )
          else:
              self.dataloader = DataLoader(
                  self.dataset,
                  batch_size=self.batch_size,
                  pin_memory=self.pin_memory,
                  sampler=self.data_sampler,
                  collate_fn=self.collate_fn,
                  num_workers=self.num_local_io_workers,
                  drop_last=self.dataloader_drop_last,
              )
          self.data = (x for x in self.dataloader)
  
          return self.dataloader
  
file_path: DeepSpeed/deepspeed/runtime/dataloader.py
imports: from torch.utils.data import DataLoader, RandomSampler
  from torch.utils.data.distributed import DistributedSampler
  from deepspeed.accelerator import get_accelerator
  from deepspeed.runtime.data_pipeline.data_sampling.data_sampler import DeepSpeedDataSampler
  from deepspeed.runtime.data_pipeline.constants import CURRICULUM_LEARNING, DATA_EFFICIENCY, DATA_SAMPLING_NUM_WORKERS
  from deepspeed.runtime.constants import GRADIENT_ACCUMULATION_STEPS, DATA_PARALLEL_GROUP, GLOBAL_RANK
label_desc: Use image node_id 5 for calling the DeepSpeedDataLoader obj's underlying member method code with example usage: obj._create_dataloader() and returns: self, self