code: def vcdn():
      num_modalities = 3
      num_classes = 4
      hidden_dim = pow(num_classes, num_modalities)
      return VCDN(
          num_modalities=num_modalities,
          num_classes=num_classes,
          hidden_dim=hidden_dim,
      )
  
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 5 for calling a global function with example usage: vcdn() and returns: VCDN