be 1 and not referenced from A. Default: "False".
Keyword Arguments:
      out ((Tensor, Tensor), optional) -- tuple of
      two tensors to write the output to. Ignored if None. Default:
      None.
Returns:
      A namedtuple (solution, cloned_coefficient) where
      cloned_coefficient is a clone of A and solution is the
      solution X to AX = b (or whatever variant of the system of
      equations, depending on the keyword arguments.)
Examples:
  >>> A = torch.randn(2, 2).triu()
  >>> A
  tensor([[ 1.1527, -1.0753],
          [ 0.0000,  0.7986]])
  >>> b = torch.randn(2, 3)
  >>> b
  tensor([[-0.0210,  2.3513, -1.5492],
          [ 1.5429,  0.7403, -1.0243]])
  >>> torch.triangular_solve(b, A)
  torch.return_types.triangular_solve(
  solution=tensor([[ 1.7841,  2.9046, -2.5405],
          [ 1.9320,  0.9270, -1.2826]]),
  cloned_coefficient=tensor([[ 1.1527, -1.0753],
          [ 0.0000,  0.7986]]))
