code: def testLarge(self):
      n = 1024
      rng = np.random.RandomState(0)
      a = np.tril(rng.rand(n, n) - 0.5) / (2.0 * n) + np.eye(n)
      b = rng.randn(n, n)
      self._VerifyTriangularSolve(
          a.astype(np.float32), b.astype(np.float32), True, False, 1e-4
      )
  
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 11 for calling the MatrixTriangularSolveOpTest obj's underlying member method code with example usage: obj.testLarge() without return types