code: def test_melgan_generator():
      hop_length = 256
      model = MelganGenerator()
      # pylint: disable=no-value-for-parameter
      dummy_input = tf.random.uniform((4, 80, 64))
      output = model(dummy_input, training=False)
      assert np.all(
          output.shape == (4, 1, 64 * hop_length)
      ), output.shape
  
imports: import numpy
  import tensorflow
  from TTS.vocoder.tf.models.melgan_generator import MelganGenerator
label_desc: Use image node_id 1 for calling a global function with example usage: test_melgan_generator() without return types