at these points.
See also:
 "torch.linalg.lu_solve()" solves a system of linear equations
 given the output of this function provided the input matrix was
 square and invertible.

 "torch.lu_unpack()" unpacks the tensors returned by "lu_factor()"
 into the three matrices *P, L, U* that form the decomposition.

 "torch.linalg.lu()" computes the LU decomposition with partial
 pivoting of a possibly non-square matrix. It is a composition of
 "lu_factor()" and "torch.lu_unpack()".

 "torch.linalg.solve()" solves a system of linear equations. It is
 a composition of "lu_factor()" and "lu_solve()".

Parameters:
      A (Tensor) -- tensor of shape (, m, n)* where *** is
      zero or more batch dimensions.
Keyword Arguments:
      * pivot (bool, optional) -- Whether to compute the LU
        decomposition with partial pivoting, or the regular LU
        decomposition. "pivot"= False not supported on CPU. Default:
        True.