code: def test_denormalize_tensor(image):
      transformed = apply_transforms(image)
      denormalized = denormalize(transformed)
  
      assert denormalized.shape == transformed.shape
      assert denormalized.min() >= 0.0 and denormalized.max() <= 1.0
  
imports: import pytest
  from os import path
  from PIL import Image
  import numpy
  import torch
  from flashtorch.utils import load_image, apply_transforms, denormalize, standardize_and_clip, format_for_plotting
label_desc: Use image node_id 8 for calling a global function with example usage: test_denormalize_tensor(image) without return types