code: def test_vcdn_reset_parameters(vcdn):
      # Set parameters to a fixed value
      with torch.no_grad():
          for param in vcdn.parameters():
              param.fill_(1.0)
      # Reset the parameters
      vcdn.reset_parameters()
      # Check that the parameters are now different
      for param in vcdn.parameters():
          assert torch.any(param != 1.0)
  
file_path: pykale/tests/predict/test_decode.py
imports: import pytest
  import torch
  from kale.predict.decode import LinearClassifier, MLPDecoder, VCDN
  from kale.utils.seed import set_seed
label_desc: Use image node_id 7 for calling a global function with example usage: test_vcdn_reset_parameters(vcdn) without return types