message: Update docstring for tf.keras.layer.multiply with more code examples.
diff: @@ -804,6 +804,23 @@ def subtract(inputs, **kwargs):
  def multiply(inputs, **kwargs):
  """Functional interface to the `Multiply` layer.
  + Example:
  +
  + >>> x1 = np.arange(3.0)
  + >>> x2 = np.arange(3.0)
  + >>> tf.keras.layers.multiply([x1, x2])
  + <tf.Tensor: shape=(3,), dtype=float32, numpy=array([0., 1., 4.], ...)>
  +
  + Usage in a functional model:
  +
  + >>> input1 = tf.keras.layers.Input(shape=(16,))
  + >>> x1 = tf.keras.layers.Dense(8, activation='relu')(input1) #shape=(None, 8)
  + >>> input2 = tf.keras.layers.Input(shape=(32,))
  + >>> x2 = tf.keras.layers.Dense(8, activation='relu')(input2) #shape=(None, 8)
  + >>> out = tf.keras.layers.multiply([x1,x2]) #shape=(None, 8)
  + >>> out = tf.keras.layers.Dense(4)(out)
  + >>> model = tf.keras.models.Model(inputs=[input1, input2], outputs=out)
  +
  Args:
  inputs: A list of input tensors (at least 2).
  **kwargs: Standard layer keyword arguments.
  