code: def test_output_shape_is_correct(self):
      loss_obj = losses.PretrainedCREPEEmbeddingLoss()
  
      input_audio = tf.ones((3, 16000), dtype=tf.float32)
      target_audio = tf.ones((3, 16000), dtype=tf.float32)
  
      loss = loss_obj(input_audio, target_audio)
  
      self.assertListEqual([], loss.shape.as_list())
      self.assertTrue(np.isfinite(loss))
  
file_path: ddsp/ddsp/losses_test.py
imports: from ddsp import core
  from ddsp import losses
  import numpy
  import tensorflow
label_desc: Use image node_id 1 for calling the PretrainedCREPEEmbeddingLossTest obj's underlying member method code with example usage: obj.test_output_shape_is_correct() without return types