class_docstr: A data class to hold images of different sizes in a batch.
  
  It contains `tensors` to hold padded images to the maximum size and `mask` to
  indicate the actual image region of each padded image
code: def __init__(self, tensors: Tensor, mask: Tensor):
      self.tensors = tensors
      self.mask = mask
  
imports: from typing import List
  import torch
  from torch import Tensor
label_desc: Use image node_id 1 to create a new NestedTensor object  with example: obj = NestedTensor(tensors, mask)