triangular half of "A" will be accessed. The elements below the
   main diagonal will be considered to be zero and will not be
   accessed.
If "unitriangular"= True, the diagonal of "A" is assumed to be
   ones and will not be accessed.
The result may contain NaN s if the diagonal of "A" contains
   zeros or elements that are very close to zero and "unitriangular"=
   False (default) or if the input matrix has very small eigenvalues.
Supports inputs of float, double, cfloat and cdouble dtypes. Also
   supports batches of matrices, and if the inputs are batches of
   matrices then the output has the same batch dimensions.
See also:
 "torch.linalg.solve()" computes the solution of a general square
 system of linear equations with a unique solution.

Parameters:
      * A (Tensor) -- tensor of shape (, n, n) (or (, k,
        k) if "left"= True) where *** is zero or more batch
        dimensions.