code: def testIdentityN(self):
      self._testNAryLists(
          array_ops.identity_n,
          [np.array([[1, 2, 3]], dtype=np.float32)],
          expected=[np.array([[1, 2, 3]], dtype=np.float32)],
      )
      self._testNAryLists(
          array_ops.identity_n,
          [
              np.array([[1, 2], [3, 4]], dtype=np.float32),
              np.array([[3, 2, 1], [6, 5, 1]], dtype=np.float32),
          ],
          expected=[
              np.array([[1, 2], [3, 4]], dtype=np.float32),
              np.array([[3, 2, 1], [6, 5, 1]], dtype=np.float32),
          ],
      )
      self._testNAryLists(
          array_ops.identity_n,
          [
              np.array([[1], [2], [3], [4]], dtype=np.int32),
              np.array([[3, 2, 1], [6, 5, 1]], dtype=np.float32),
          ],
          expected=[
              np.array([[1], [2], [3], [4]], dtype=np.int32),
              np.array([[3, 2, 1], [6, 5, 1]], dtype=np.float32),
          ],
      )
  
imports: import unittest
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 6 for calling the NAryOpsTest obj's underlying member method code with example usage: obj.testIdentityN() without return types