code: def testGradientComplexWithBatches(self):
      b = 5
      m = 10
      n = 15
      diags = self._randomComplexArray((b, 3, m))
      rhs = self._randomComplexArray((b, m, n))
      self._gradientTest(diags, rhs, 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 11 for calling the TridiagonalMulOpTest obj's underlying member method code with example usage: obj.testGradientComplexWithBatches() without return types