code: def restore_pad(x, ref_x, pad_remover, mode):
      x = tf.squeeze(x, axis=0)
      if mode != ModeKeys.PREDICT:
          x = pad_remover.restore(x)
      x = common_layers.reshape_like(x, ref_x)
      return x
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import functools
  from six.moves import range
  from tensor2tensor.layers import common_attention
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.layers import common_layers
  from tensor2tensor.utils import expert_utils
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 5 for calling a global function with example usage: restore_pad(x, ref_x, pad_remover, mode) and returns: x