code: def testConcatCompletePadding(self, graph_fn):
      for dtype in self.numeric_types:
          with self.session() as sess, self.device_scope():
              concat = graph_fn(
                  sess,
                  input_values=[
                      [[0, 1], [2, 3]],
                      [[4, 5], [6, 7]],
                      [[8, 9], [10, 11]],
                      [[12, 13], [14, 15]],
                  ],
                  input_dtype=dtype,
                  num_concats=[2, 2],
                  output_shape=[2, 2],
                  paddings=[2, 2],
              )
              result = sess.run(concat)
          self.assertAllClose(result, [[0, 1], [2, 3]])
  
imports: from typing import Any, List, Optional
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.client.session import Session
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework.ops import control_dependencies
  from tensorflow.python.framework.ops import Tensor
  from tensorflow.python.ops import gen_tpu_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 13 for calling the XlaConcatNDOpTest obj's underlying member method code with example usage: obj.testConcatCompletePadding(graph_fn) without return types