code: def get_start_end_idx(self):
      start_idx = self.data_parallel_rank * self.micro_batch_size
      end_idx = start_idx + self.micro_batch_size
      return start_idx, end_idx
  
imports: import torch
  import os
  import numpy
  import deepspeed.comm
  from deepspeed.utils import logger
  from deepspeed.accelerator import get_accelerator
  from ..constants import *
  from ..curriculum_scheduler import CurriculumScheduler
  from .indexed_dataset import MMapIndexedDataset
  from .utils import create_mmap_dataset_builder, close_mmap_dataset_builder, find_fit_int_dtype
label_desc: Use image node_id 4 for calling the DeepSpeedDataSampler obj's underlying member method code with example usage: obj.get_start_end_idx() and returns: start_idx,  end_idx