def potri(A=None, out=None, name=None, **kwargs):
    """Performs matrix inversion from a Cholesky factorization.
    Input is a tensor *A* of dimension *n >= 2*.

    If *n=2*, *A* is a triangular matrix (entries of upper or lower triangle are all zero)
    with positive diagonal. We compute:

      *out* = *A*\\ :sup:`-T` \\* *A*\\ :sup:`-1` if *lower* = *true*
      *out* = *A*\\ :sup:`-1` \\* *A*\\ :sup:`-T` if *lower* = *false*

    In other words, if *A* is the Cholesky factor of a symmetric positive definite matrix
    *B* (obtained by *potrf*), then

      *out* = *B*\\ :sup:`-1`

    If *n>2*, *potri* is performed separately on the trailing two dimensions for all inputs
    (batch mode).

    .. note:: The operator supports float32 and float64 data types only.

    .. note:: Use this operator only if you are certain you need the inverse of *B*, and
              cannot use the Cholesky factor *A* (*potrf*), together with backsubstitution
              (*trsm*). The latter is numerically much safer, and also cheaper.

    Examples::

       Single matrix inverse
       A = [[2.0, 0], [0.5, 2.0]]
       potri(A) = [[0.26563, -0.0625], [-0.0625, 0.25]]

       Batch matrix inverse
       A = [[[2.0, 0], [0.5, 2.0]], [[4.0, 0], [1.0, 4.0]]]
       potri(A) = [[[0.26563, -0.0625], [-0.0625, 0.25]],
                   [[0.06641, -0.01562], [-0.01562, 0,0625]]]


    Defined in src/operator/tensor/la_op.cc:L275

    Parameters
    ----------
    A : NDArray
        Tensor of lower triangular matrices

    out : NDArray, optional
        The output NDArray to hold the result.

    Returns
    -------
    out : NDArray or list of NDArrays
        The output of this function.
    """
    return 0,
