code: def softsign(x):
      """Softsign activation function, `softsign(x) = x / (abs(x) + 1)`.
  
      Example Usage:
  
      >>> a = tf.constant([-1.0, 0.0, 1.0], dtype = tf.float32)
      >>> b = tf.keras.activations.softsign(a)
      >>> b.numpy()
      array([-0.5,  0. ,  0.5], dtype=float32)
  
      Args:
          x: Input tensor.
  
      Returns:
          The softsign activation: `x / (abs(x) + 1)`.
      """
      return nn.softsign(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 5 for calling a global function with example usage: softsign(x) and returns: nn