class_docstr: An auxiliary class for iterating through an image dataset.
code: def __iter__(self):
      mapped_itr = map(self.get_tensor_from_filename, self.file_itr)
  
      return mapped_itr
  
file_path: captum/tests/concept/test_concept.py
imports: from typing import cast, Iterable
  import torch
  from captum.concept._core.concept import Concept
  from captum.concept._utils.data_iterator import dataset_to_dataloader
  from tests.helpers.basic import BaseTest
  from torch.utils.data import IterableDataset
label_desc: Use image node_id 3 for calling the CustomIterableDataset obj's underlying member method code with example usage: obj.__iter__() and returns: mapped_itr