code: def test_differentiability(self):
      prediction = torch.ones((1, 1, 1, 3))
      target = torch.ones((1, 1, 1, 3))
      prediction.requires_grad = True
      target.requires_grad = True
  
      generalized_dice_loss = GeneralizedDiceLoss()
      loss = generalized_dice_loss(prediction, target)
      self.assertNotEqual(loss.grad_fn, None)
  
file_path: MONAI/tests/test_generalized_dice_loss.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.losses import GeneralizedDiceLoss
  from tests.utils import test_script_save
label_desc: Use image node_id 5 for calling the TestGeneralizedDiceLoss obj's underlying member method code with example usage: obj.test_differentiability() without return types