torch.lu_solve
torch.lu_solve(b, LU_data, LU_pivots, *, out=None) -> Tensor
Returns the LU solve of the linear system Ax = b using the
   partially pivoted LU factorization of A from "lu_factor()".
This function supports "float", "double", "cfloat" and "cdouble"
   dtypes for "input".
Warning:
 "torch.lu_solve()" is deprecated in favor of
 "torch.linalg.lu_solve()". "torch.lu_solve()" will be removed in
 a future PyTorch release. "X = torch.lu_solve(B, LU, pivots)"
 should be replaced with

    X = linalg.lu_solve(LU, pivots, B)

Parameters:
      * b (Tensor) -- the RHS tensor of size (*, m, k), where *
        is zero or more batch dimensions.
  * **LU_data** (*Tensor*) -- the pivoted LU factorization of A
    from "lu_factor()" of size (*, m, m), where * is zero or more
    batch dimensions.

  * **LU_pivots** (*IntTensor*) -- the pivots of the LU
    factorization from "lu_factor()" of size (*, m), where * is
