code: def _get_zeros_with_variable_batch_size(feature_tensor, padding_size):
      return tf.zeros(
          [padding_size] + feature_tensor.shape.as_list()[1:],
          feature_tensor.dtype,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import functools
  from absl import logging
  from graph_nets import graphs
  from graph_nets import utils_np
  import six
  from six.moves import range
  import tensorflow
  import tree
label_desc: Use image node_id 38 for calling a global function with example usage: _get_zeros_with_variable_batch_size(feature_tensor, padding_size) and returns: tf