code: def make_disparity_image(disparity: Tensor):
      # normalize image to [0, 1]
      disparity = disparity.detach().cpu()
      disparity = (disparity - disparity.min()) / (
          disparity.max() - disparity.min()
      )
      return disparity
  
file_path: vision/references/depth/stereo/visualization.py
imports: import os
  from typing import List
  import numpy
  import torch
  from torch import Tensor
  from torchvision.utils import make_grid
label_desc: Use image node_id 1 for calling a global function with example usage: make_disparity_image(disparity) and returns: disparity