code: def _zero_after_index_copy(feed_input, zero_after_index):
      """Creates a copy of `feed_input` with zeros after `zero_after_index`."""
      transformed_feed_input = copy.deepcopy(feed_input)
      for i in range(_BATCH_SIZE):
          for j in range(zero_after_index + 1, _TOTAL_SEQUENCE_LENGTH):
              transformed_feed_input[i][j] = [0.0] * len(
                  transformed_feed_input[i][j]
              )
      return transformed_feed_input
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  import itertools
  from absl.testing import parameterized
  import numpy
  from tensor2tensor.layers import common_attention
  from tensor2tensor.models import transformer
  from tensor2tensor.models.neural_architecture_search import nas_layers
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling a global function with example usage: _zero_after_index_copy(feed_input, zero_after_index) and returns: transformed_feed_input