code: def _iterator(self):
      assert not self._shuffle
  
      while True:
          iterable = range(self._sample_count)
          yield from itertools.islice(
              iterable, self._start, None, self._step
          )
  
imports: import itertools
  from typing import Any, Optional
  import warnings
  import numpy
  import torch
  from torch.utils.data.sampler import Sampler
  import dinov2.distributed
label_desc: Use image node_id 3 for calling the InfiniteSampler obj's underlying member method code with example usage: obj._iterator() without return types