.. warning::

    :func:`torch.solve` is deprecated in favor of :func:`torch.linalg.solve`
    and will be removed in a future PyTorch release.
    :func:`torch.linalg.solve` has its arguments reversed and does not return the
    LU factorization of the input. To get the LU factorization see :func:`torch.lu`,
    which may be used with :func:`torch.lu_solve` and :func:`torch.lu_unpack`.

    ``X = torch.solve(B, A).solution`` should be replaced with

    .. code:: python

        X = torch.linalg.solve(A, B)

.. note:: :func:`torch.linalg.cholesky` should be used over ``torch.cholesky`` when possible.
          Note however that :func:`torch.linalg.cholesky` does not yet support the :attr:`upper`
          parameter and instead always returns the lower triangular matrix.

.. warning::

    :func:`torch.cholesky` is deprecated in favor of :func:`torch.linalg.cholesky`
    and will be removed in a future PyTorch release.

    ``L = torch.cholesky(A)`` should be replaced with

    .. code:: python

        L = torch.linalg.cholesky(A)

    ``U = torch.cholesky(A, upper=True)`` should be replaced with

    .. code:: python

        U = torch.linalg.cholesky(A).mH

    This transform will produce equivalent results for all valid (symmetric positive definite) inputs.