code: def sigmoid(x):
      """Sigmoid.
  
      Computes sigmoid of `x` element-wise.
      Specifically, `y = 1 / (1 + exp(-x))`.
  
      Arguments:
          x: A Tensor with type `float`, `double`, `int32`, `complex64`, `int64`,
              or `qint32`.
  
      Returns:
          A Tensor with the same type as `x` if `x.dtype != qint32` otherwise
          the return type is `quint8`.
      """
      return tf.nn.sigmoid(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 4 for calling a global function with example usage: sigmoid(x) and returns: tf