code: def exponential(x):
      """Exponential activation function.
  
      For example:
  
      >>> a = tf.constant([-3.0,-1.0, 0.0,1.0,3.0], dtype = tf.float32)
      >>> b = tf.keras.activations.exponential(a)
      >>> b.numpy()
      array([0.04978707,  0.36787945,  1.,  2.7182817 , 20.085537], dtype=float32)
  
      Args:
          x: Input tensor.
  
      Returns:
          Tensor with exponential activation: `exp(x)`.
      """
      return math_ops.exp(x)
  
imports: from tensorflow.python.keras import backend
  from tensorflow.python.keras.layers import advanced_activations
  from tensorflow.python.keras.utils.generic_utils import deserialize_keras_object
  from tensorflow.python.keras.utils.generic_utils import serialize_keras_object
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn
  from tensorflow.python.util import dispatch
label_desc: Use image node_id 11 for calling a global function with example usage: exponential(x) and returns: math_ops