code: def testBatch(self):
      rng = np.random.RandomState(0)
      shapes = [
          ((4, 3, 3), (4, 3, 5)),
          ((1, 2, 2), (1, 2, 1)),
          ((1, 1, 1), (1, 1, 2)),
          ((2, 3, 4, 4), (2, 3, 4, 1)),
      ]
      tuples = itertools.product(self.float_types, shapes)
      for dtype, (a_shape, b_shape) in tuples:
          n = a_shape[-1]
          a = np.tril(rng.rand(*a_shape) - 0.5) / (2.0 * n) + np.eye(n)
          b = rng.randn(*b_shape)
          self._VerifyTriangularSolveCombo(
              a.astype(dtype), b.astype(dtype), atol=1e-3
          )
  
imports: import itertools
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 9 for calling the MatrixTriangularSolveOpTest obj's underlying member method code with example usage: obj.testBatch() without return types