docstr: Create some dummy input data for the chain.
docstr_tok: ["Create","some","dummy","input","data","for","the","chain","."]
code: def setUp(self):
      """Create some dummy input data for the chain."""
      super().setUp()
  
      # Create a network output dictionary.
      self.nn_outputs = {
          "audio": tf.ones((3, 8000), dtype=tf.float32),
          "audio_synth": tf.ones((3, 8000), dtype=tf.float32),
          "magnitudes": tf.ones((3, 200, 2), dtype=tf.float32),
          "f0_hz": 200 + tf.ones((3, 200, 1), dtype=tf.float32),
      }
  
      # Create Processors.
      spectral_loss = losses.SpectralLoss()
      crepe_loss = losses.PretrainedCREPEEmbeddingLoss(
          name="crepe_loss"
      )
  
      # Create DAG for testing.
      self.dag = [
          (spectral_loss, ["audio", "audio_synth"]),
          (crepe_loss, ["audio", "audio_synth"]),
      ]
      self.expected_outputs = ["spectral_loss", "crepe_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 LossGroupTest obj's underlying member method code with example usage: obj.setUp() without return types