code: def assign(w, initial_value):
      w = w.assign(initial_value)
      with tf.control_dependencies([w]):
          return w
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  import math
  from tensor2tensor.layers import common_attention
  from tensor2tensor.layers import common_layers
  from tensor2tensor.models.transformer import transformer_decoder_layer
  import tensorflow.compat.v1
  import tensorflow_probability
label_desc: Use image node_id 16 for calling a global function with example usage: assign(w, initial_value) and returns: w