code: def testGradientComplexSmall(self):
      self._gradientTest(
          np.array(
              [[[1 + 1j, 2j, 0], [1 + 2j, 2j, 3 + 0j], [0, 1j, 2 + 0j]]]
          ),
          np.array([[[1j, 2 + 0j], [3 + 1j, 4j], [5j, 6 + 3j]]]),
          dtype=dtypes.complex128,
      )
  
imports: import itertools
  import numpy
  from tensorflow.python.client import session
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.linalg import linalg_impl
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import test
label_desc: Use image node_id 10 for calling the TridiagonalMulOpTest obj's underlying member method code with example usage: obj.testGradientComplexSmall() without return types