4126         X = torch.linalg.solve_triangular(A, B, upper=upper, left=left, unitriangular=uni)
4135         torch.linalg.solve_triangular(A, B, upper=upper, left=left, unitriangular=uni, out=out)
4198                 X = torch.linalg.solve_triangular(A, B, upper=upper, left=left, unitriangular=uni)
4206     def triangular_solve_test_helper(self, A_dims, b_dims, upper, unitriangular,  argument
4214         if unitriangular:
4227         for k, n, (upper, unitriangular, transpose) in itertools.product(ks, ns,
4230                                                      unitriangular, device, dtype)
4231 … x = torch.triangular_solve(b, A, upper=upper, unitriangular=unitriangular, transpose=transpose)[0]
4243         def triangular_solve_batch_helper(A_dims, b_dims, upper, unitriangular, transpose):  argument
4245                                                      unitriangular, device, dtype)
4249                                                          unitriangular=unitriangular,
4253                                            unitriangular=unitriangular,
4262         def triangular_solve_zero_batch_helper(A_dims, b_dims, upper, unitriangular, transpose):  argument
4264                                                      unitriangular, device, dtype)
4266                                        unitriangular=unitriangular,
4270         for upper, unitriangular, transpose in itertools.product([True, False], repeat=3):
4273                                           upper, unitriangular, transpose)
4277                                           upper, unitriangular, transpose)
4279                                           upper, unitriangular, transpose)
4284                                                upper, unitriangular, transpose)
4294         for upper, transpose, unitriangular in itertools.product([True, False], repeat=3):
4297                                                      upper, unitriangular, device, dtype)
4299 …                                     upper=upper, transpose=transpose, unitriangular=unitriangular)
4310                                                      upper, unitriangular, device, dtype)
4312                                           unitriangular=unitriangular)
4339         def run_test(A_dims, b_dims, device, upper, transpose, unitriangular):  argument
4341                                                      unitriangular, device, dtype)
4343                                                             upper, transpose, unitriangular))
4344 … x = torch.triangular_solve(b, A, upper=upper, transpose=transpose, unitriangular=unitriangular)[0]
4348         for upper, transpose, unitriangular in itertools.product([True, False], repeat=3):
4350 …run_test((2, 1, 3, 4, 4), (2, 1, 3, 4, 6), device, upper, transpose, unitriangular)  # no broadcas…
4351 …       run_test((2, 1, 3, 4, 4), (4, 6), device, upper, transpose, unitriangular)  # broadcasting b
4352 …       run_test((4, 4), (2, 1, 3, 4, 2), device, upper, transpose, unitriangular)  # broadcasting A
4353 …run_test((1, 3, 1, 4, 4), (2, 1, 3, 4, 5), device, upper, transpose, unitriangular)  # broadcastin…