(handle, n, A, lda, P, C, ldc, info, batchSize)
This function performs the inversion of an array of n x n matrices.

    Notes
    -----
    The matrices must be factorized first using cublasCgetrfBatched.

    References
    ----------
    `cublas<t>getriBatched <http://docs.nvidia.com/cuda/cublas/#cublas-lt-t-gt-getribatched>`_
This function performs the inversion of an array of n x n matrices.
This function performs the inversion of an array of n x n matrices .
def cublasCgetriBatched(handle, n, A, lda, P, C, ldc, info, batchSize):
    """
    This function performs the inversion of an array of n x n matrices.

    Notes
    -----
    The matrices must be factorized first using cublasCgetrfBatched.

    References
    ----------
    `cublas<t>getriBatched <http://docs.nvidia.com/cuda/cublas/#cublas-lt-t-gt-getribatched>`_
    """

    status = _libcublas.cublasCgetriBatched(handle, n,
                                            int(A), lda, int(P),
                                            int(C), ldc, int(info),
                                            batchSize)
    cublasCheckStatus(status)
def cublasCgetriBatched ( handle , n , A , lda , P , C , ldc , info , batchSize ) : status = _libcublas . cublasCgetriBatched ( handle , n , int ( A ) , lda , int ( P ) , int ( C ) , ldc , int ( info ) , batchSize ) cublasCheckStatus ( status )