code: def softplus(x):
      """Softplus.
  
      Computes softplus: `log(exp(features) + 1)`.
  
      Arguments:
          x: A `Tensor`. Must be one of the following types: `float32`,
              `float64`, `int32`, `int64`, `uint8`, `int16`, `int8`, `uint16`.
  
      Returns:
          A `Tensor`. Has the same type as `x`.
      """
      return tf.nn.softplus(x)
  
imports: from __future__ import division, print_function, absolute_import
  import tensorflow.compat.v1
  import numpy
  import tflearn
  from .None import initializations
  from .None import variables
  from .utils import get_from_module
label_desc: Use image node_id 6 for calling a global function with example usage: softplus(x) and returns: tf