code: def setup(self, axis=1):
      self.np_y_true = np.asarray(
          [[1, 9, 2], [-5, -2, 6]], dtype=np.float32
      )
      self.np_y_pred = np.asarray(
          [[4, 8, 12], [8, 1, 3]], dtype=np.float32
      )
  
      y_true = self.l2_norm(self.np_y_true, axis)
      y_pred = self.l2_norm(self.np_y_pred, axis)
      self.expected_loss = np.sum(
          np.multiply(y_true, y_pred), axis=(axis,)
      )
  
      self.y_true = self.np_y_true
      self.y_pred = self.np_y_pred
  
imports: import numpy
  from absl.testing import parameterized
  from keras import testing
  from keras.metrics import regression_metrics
label_desc: Use image node_id 2 for calling the CosineSimilarityTest obj's underlying member method code with example usage: obj.setup(axis) without return types