code: def test_matrix_triangular_solve(self):
      for lower in (True, False):
          for adjoint in (True, False):
              for stack_a in (True, False):
                  for stack_b in (True, False):
                      shape_a = (2, 4, 3, 3) if stack_a else (4, 3, 3)
                      shape_b = (2, 4, 3, 5) if stack_b else (4, 3, 5)
                      x = array_ops.matrix_band_part(
                          random_ops.random_uniform(shape_a)
                          + linalg_ops.eye(
                              3
                          ),  # Ensure well-conditioned.
                          *((-1, 0) if lower else (0, -1)),
                      )  # Ensure triangular.
                      y = random_ops.random_uniform(shape_b)
  
                      # pylint: disable=cell-var-from-loop
                      def loop_fn(i):
                          a = array_ops.gather(x, i) if stack_a else x
                          b = array_ops.gather(y, i) if stack_b else y
                          return linalg_ops.matrix_triangular_solve(
                              a, b, lower=lower, adjoint=adjoint
                          )
  
                      # pylint: enable=cell-var-from-loop
  
                      self._test_loop_fn(loop_fn, 2)
  
imports: import itertools
  from absl.testing import parameterized
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import clip_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import special_math_ops
  from tensorflow.python.ops import tensor_array_grad
  from tensorflow.python.ops.parallel_for import control_flow_ops
  from tensorflow.python.ops.parallel_for.test_util import PForTestCase
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the LinalgTest obj's underlying member method code with example usage: obj.test_matrix_triangular_solve() and returns: linalg_ops