code: def add(inputs, **kwargs):
      """Functional interface to the `tf.keras.layers.Add` layer.
  
      Args:
          inputs: A list of input tensors (at least 2) with the same shape.
          **kwargs: Standard layer keyword arguments.
  
      Returns:
          A tensor as the sum of the inputs. It has the same shape as the inputs.
  
      Examples:
  
      >>> input_shape = (2, 3, 4)
      >>> x1 = tf.random.normal(input_shape)
      >>> x2 = tf.random.normal(input_shape)
      >>> y = tf.keras.layers.add([x1, x2])
      >>> print(y.shape)
      (2, 3, 4)
  
      Used in a functional model:
  
      >>> input1 = tf.keras.layers.Input(shape=(16,))
      >>> x1 = tf.keras.layers.Dense(8, activation='relu')(input1)
      >>> input2 = tf.keras.layers.Input(shape=(32,))
      >>> x2 = tf.keras.layers.Dense(8, activation='relu')(input2)
      >>> added = tf.keras.layers.add([x1, x2])
      >>> out = tf.keras.layers.Dense(4)(added)
      >>> model = tf.keras.models.Model(inputs=[input1, input2], outputs=out)
  
      """
      return Add(**kwargs)(inputs)
  
imports: from tensorflow.python.keras import backend
  from tensorflow.python.keras.engine import base_layer_utils
  from tensorflow.python.keras.engine.base_layer import Layer
  from tensorflow.python.keras.utils import tf_utils
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn
label_desc: Use image node_id 1 for calling a global function with example usage: add(inputs) and returns: Add