class_docstr: A modified version of the PyTorch DataLoader that returns a dictionary where the key is
  the name of the tensor and the value is the tensor itself.
code: def __len__(self):
      if type(self.dataset).__name__ == "_StreamingDataSet":
          num_samples = len(self.dataset)
          num_batches = ceil(num_samples / self.dataset.batch_size)
          return num_batches
      else:
          return super().__len__()
  
imports: from math import ceil
  from torch.utils.data import DataLoader, Dataset, Sampler
  import torch
label_desc: Use image node_id 2 for calling the NamedDataLoader obj's underlying member method code with example usage: obj.__len__() and returns: num_batches, super