code: def inv_sigmoid(y):
      """Inverse sigmoid function.
  
      Args:
        y: float in range 0 to 1
  
      Returns:
        the inverse sigmoid.
      """
      return np.log(y / (1 - y))
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  from tensor2tensor.layers.common_layers import gelu
  from tensor2tensor.models.research.shuffle_network import reverse_shuffle_layer
  from tensor2tensor.models.research.shuffle_network import shuffle_layer
  from tensor2tensor.models.research.shuffle_network import ShuffleNetwork
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 1 for calling a global function with example usage: inv_sigmoid(y) and returns: np