class_docstr: Structure that holds a list of images (of possibly
  varying sizes) as a single tensor.
  This works by padding the images to the same size,
  and storing in a field the original sizes of each image
code: def device(self):
      return self.tensor.device
  
file_path: vissl/vissl/data/collators/collator_helper.py
imports: from typing import List, Tuple
  import torch
label_desc: Use image node_id 4 for calling the MultiDimensionalTensor obj's underlying member method code with example usage: obj.device() and returns: self