code: def padded_accuracy_top5(
      predictions, labels, weights_fn=common_layers.weights_nonzero
  ):
      return padded_accuracy_topk(predictions, labels, 5, weights_fn)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import six
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import bleu_hook
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import rouge
  from tensor2tensor.utils import sari_hook
  import tensorflow.compat.v1
  from tensorflow.python.util import tf_inspect
label_desc: Use image node_id 8 for calling a global function with example usage: padded_accuracy_top5(predictions, labels, weights_fn) and returns: padded_accuracy_topk