code: def single32tensor5(img):
      return (
          torch.from_numpy(np.ascontiguousarray(img))
          .float()
          .unsqueeze(0)
          .unsqueeze(0)
      )
  
imports: import math
  import os
  import random
  from datetime import datetime
  import cv2
  import numpy
  import torch
  from torchvision.utils import make_grid
label_desc: Use image node_id 29 for calling a global function with example usage: single32tensor5(img) and returns: torch