code: def test_standardize_and_clip_detach_input_from_graph():
      input_ = torch.randint(
          low=-1000, high=1000, size=(224, 224)
      ).float()
      input_.requires_grad = True
      normalized = standardize_and_clip(input_)
  
      assert not normalized.requires_grad
  
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 15 for calling a global function with example usage: test_standardize_and_clip_detach_input_from_graph() without return types