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 __init__(
      self,
      tensor: torch.Tensor,
      mask: torch.Tensor,
      image_sizes: List[Tuple[int, int]],
  ):
      self.tensor = tensor
      self.mask = mask
      self.image_sizes = image_sizes
  
file_path: vissl/vissl/data/collators/collator_helper.py
imports: from typing import List, Tuple
  import torch
label_desc: Use image node_id 1 to create a new MultiDimensionalTensor object  with example: obj = MultiDimensionalTensor(tensor, mask, image_sizes)