code: def fill_memory_slot(memory, value, index):
      """Fills the memory slot at a particular index with the given value.
  
      Args:
        memory: a 4-d tensor [memory_size, batch, length, channel] containing
          the state of all steps
        value: a 3-d tensor [batch, length, channel] as the sate
        index: integer in [0, memory_size)
  
      Returns:
        filled memory
  
      """
      mask = tf.to_float(
          tf.one_hot(index, tf.shape(memory)[0])[:, None, None, None]
      )
      fill_memory = (1 - mask) * memory + mask * value[None, ...]
      return fill_memory
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  import functools
  from six.moves import range
  from tensor2tensor.layers import common_attention
  from tensor2tensor.layers import common_layers
  from tensor2tensor.models import transformer
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import expert_utils
  import tensorflow.compat.v1
label_desc: Use image node_id 17 for calling a global function with example usage: fill_memory_slot(memory, value, index) and returns: fill_memory