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If the given result is different to cublasStatus.CUBLAS_STATUS_SUCCESS and
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Obtain the current CUBLAS status by calling cublasGetErrorNative, and store the
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cublasCher2Native

cublasCher2kNative

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/**
     * <pre>
     * void
     * cublasCher2k (char uplo, char trans, int n, int k, cuComplex alpha,
     *               const cuComplex *A, int lda, const cuComplex *B, int ldb,
     *               float beta, cuComplex *C, int ldc)
     *
     * performs one of the hermitian rank 2k operations
     *
     *    C =   alpha * A * conjugate(transpose(B))
     *        + conjugate(alpha) * B * conjugate(transpose(A))
     *        + beta * C ,
     *    or
     *    C =  alpha * conjugate(transpose(A)) * B
     *       + conjugate(alpha) * conjugate(transpose(B)) * A
     *       + beta * C.
     *
     * Alpha is single precision complex scalar whereas Beta is a single preocision real scalar.
     * C is an n x n hermitian matrix consisting of single precision complex elements
     * and stored in either lower or upper storage mode. A and B are matrices consisting
     * of single precision complex elements with dimension of n x k in the first case,
     * and k x n in the second case.
     *
     * Input
     * -----
     * uplo   specifies whether the hermitian matrix C is stored in upper or lower
     *        storage mode, as follows. If uplo == 'U' or 'u', only the upper
     *        triangular part of the hermitian matrix is to be referenced, and the
     *        elements of the strictly lower triangular part are to be infered from
     *        those in the upper triangular part. If uplo == 'L' or 'l', only the
     *        lower triangular part of the hermitian matrix is to be references,
     *        and the elements of the strictly upper triangular part are to be
     *        infered from those in the lower triangular part.
     * trans  specifies the operation to be performed. If trans == 'N' or 'n',
     *        C =   alpha * A * conjugate(transpose(B))
     *            + conjugate(alpha) * B * conjugate(transpose(A))
     *            + beta * C .
     *        If trans == 'T', 't', 'C', or 'c',
     *        C =  alpha * conjugate(transpose(A)) * B
     *          + conjugate(alpha) * conjugate(transpose(B)) * A
     *          + beta * C.
     * n      specifies the number of rows and the number columns of matrix C. If
     *        trans == 'N' or 'n', n specifies the number of rows of matrix A. If
     *        trans == 'T', 't', 'C', or 'c', n specifies the columns of matrix A.
     *        n must be at least zero.
     * k      If trans == 'N' or 'n', k specifies the number of rows of matrix A.
     *        If trans == 'T', 't', 'C', or 'c', k specifies the number of rows of
     *        matrix A. k must be at least zero.
     * alpha  single precision complex scalar multiplier.
     * A      single precision complex array of dimensions (lda, ka), where ka is k when
     *        trans == 'N' or 'n', and is n otherwise. When trans == 'N' or 'n',
     *        the leading n x k part of array A must contain the matrix A,
     *        otherwise the leading k x n part of the array must contain the matrix
     *        A.
     * lda    leading dimension of A. When trans == 'N' or 'n' then lda must be at
     *        least max(1, n). Otherwise lda must be at least max(1,k).
     * B      single precision complex array of dimensions (lda, kb), where kb is k when
     *        trans == 'N' or 'n', and is n otherwise. When trans == 'N' or 'n',
     *        the leading n x k part of array B must contain the matrix B,
     *        otherwise the leading k x n part of the array must contain the matrix
     *        B.
     * ldb    leading dimension of N. When trans == 'N' or 'n' then ldb must be at
     *        least max(1, n). Otherwise ldb must be at least max(1, k).
     * beta   single precision scalar multiplier applied to C. If beta is zero, C
     *        does not have to be a valid input.
     * C      single precision complex array of dimensions (ldc, n). If uplo == 'U' or 'u',
     *        the leading n x n triangular part of the array C must contain the
     *        upper triangular part of the hermitian matrix C and the strictly
     *        lower triangular part of C is not referenced. On exit, the upper
     *        triangular part of C is overwritten by the upper triangular part of
     *        the updated matrix. If uplo == 'L' or 'l', the leading n x n
     *        triangular part of the array C must contain the lower triangular part
     *        of the hermitian matrix C and the strictly upper triangular part of C
     *        is not referenced. On exit, the lower triangular part of C is
     *        overwritten by the lower triangular part of the updated matrix.
     *        The imaginary parts of the diagonal elements need
     *        not be set,  they are assumed to be zero,  and on exit they
     *        are set to zero.
     * ldc    leading dimension of C. Must be at least max(1, n).
     *
     * Output
     * ------
     * C      updated according to alpha*A*conjugate(transpose(B)) +
     *        + conjugate(alpha)*B*conjugate(transpose(A)) + beta*C or
     *        alpha*conjugate(transpose(A))*B + conjugate(alpha)*conjugate(transpose(B))*A
     *        + beta*C.
     *
     * Reference:   http://www.netlib.org/blas/cher2k.f
     *
     * Error status for this function can be retrieved via cublasGetError().
     *
     * Error Status
     * ------------
     * CUBLAS_STATUS_NOT_INITIALIZED  if CUBLAS library has not been initialized
     * CUBLAS_STATUS_INVALID_VALUE    if n < 0 or k < 0
     * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
     * </pre>
     */

/**
   * <pre>
   * void 
   * cublasCher2k (char uplo, char trans, int n, int k, cuComplex alpha, 
   *               const cuComplex *A, int lda, const cuComplex *B, int ldb, 
   *               float beta, cuComplex *C, int ldc)
   *
   * performs one of the hermitian rank 2k operations
   * 
   *    C =   alpha * A * conjugate(transpose(B)) 
   *        + conjugate(alpha) * B * conjugate(transpose(A))  
   *        + beta * C , 
   *    or 
   *    C =  alpha * conjugate(transpose(A)) * B 
   *       + conjugate(alpha) * conjugate(transpose(B)) * A 
   *       + beta * C.
   *
   * Alpha is single precision complex scalar whereas Beta is a single preocision real scalar. 
   * C is an n x n hermitian matrix consisting of single precision complex elements 
   * and stored in either lower or upper storage mode. A and B are matrices consisting
   * of single precision complex elements with dimension of n x k in the first case,
   * and k x n in the second case.
   *
   * Input
   * -----
   * uplo   specifies whether the hermitian matrix C is stored in upper or lower
   *        storage mode, as follows. If uplo == 'U' or 'u', only the upper 
   *        triangular part of the hermitian matrix is to be referenced, and the
   *        elements of the strictly lower triangular part are to be infered from
   *        those in the upper triangular part. If uplo == 'L' or 'l', only the 
   *        lower triangular part of the hermitian matrix is to be references, 
   *        and the elements of the strictly upper triangular part are to be 
   *        infered from those in the lower triangular part.
   * trans  specifies the operation to be performed. If trans == 'N' or 'n', 
   *        C =   alpha * A * conjugate(transpose(B)) 
   *            + conjugate(alpha) * B * conjugate(transpose(A))  
   *            + beta * C .
   *        If trans == 'T', 't', 'C', or 'c',
   *        C =  alpha * conjugate(transpose(A)) * B 
   *          + conjugate(alpha) * conjugate(transpose(B)) * A 
   *          + beta * C.
   * n      specifies the number of rows and the number columns of matrix C. If 
   *        trans == 'N' or 'n', n specifies the number of rows of matrix A. If 
   *        trans == 'T', 't', 'C', or 'c', n specifies the columns of matrix A. 
   *        n must be at least zero.
   * k      If trans == 'N' or 'n', k specifies the number of rows of matrix A. 
   *        If trans == 'T', 't', 'C', or 'c', k specifies the number of rows of 
   *        matrix A. k must be at least zero.
   * alpha  single precision complex scalar multiplier.
   * A      single precision complex array of dimensions (lda, ka), where ka is k when 
   *        trans == 'N' or 'n', and is n otherwise. When trans == 'N' or 'n', 
   *        the leading n x k part of array A must contain the matrix A, 
   *        otherwise the leading k x n part of the array must contain the matrix
   *        A.
   * lda    leading dimension of A. When trans == 'N' or 'n' then lda must be at 
   *        least max(1, n). Otherwise lda must be at least max(1,k).
   * B      single precision complex array of dimensions (lda, kb), where kb is k when 
   *        trans == 'N' or 'n', and is n otherwise. When trans == 'N' or 'n', 
   *        the leading n x k part of array B must contain the matrix B, 
   *        otherwise the leading k x n part of the array must contain the matrix
   *        B.
   * ldb    leading dimension of N. When trans == 'N' or 'n' then ldb must be at
   *        least max(1, n). Otherwise ldb must be at least max(1, k).
   * beta   single precision scalar multiplier applied to C. If beta is zero, C 
   *        does not have to be a valid input.
   * C      single precision complex array of dimensions (ldc, n). If uplo == 'U' or 'u',
   *        the leading n x n triangular part of the array C must contain the 
   *        upper triangular part of the hermitian matrix C and the strictly 
   *        lower triangular part of C is not referenced. On exit, the upper 
   *        triangular part of C is overwritten by the upper triangular part of 
   *        the updated matrix. If uplo == 'L' or 'l', the leading n x n 
  *        triangular part of the array C must contain the lower triangular part
    *        of the hermitian matrix C and the strictly upper triangular part of C
    *        is not referenced. On exit, the lower triangular part of C is 
    *        overwritten by the lower triangular part of the updated matrix.
    *        The imaginary parts of the diagonal elements need
    *        not be set,  they are assumed to be zero,  and on exit they
    *        are set to zero.
    * ldc    leading dimension of C. Must be at least max(1, n).
    *
    * Output
    * ------
    * C      updated according to alpha*A*conjugate(transpose(B)) + 
    *        + conjugate(alpha)*B*conjugate(transpose(A)) + beta*C or
    *        alpha*conjugate(transpose(A))*B + conjugate(alpha)*conjugate(transpose(B))*A
    *        + beta*C.
    *
    * Reference:   http://www.netlib.org/blas/cher2k.f
    *
    * Error status for this function can be retrieved via cublasGetError().
    *
    * Error Status
    * ------------
    * CUBLAS_STATUS_NOT_INITIALIZED  if CUBLAS library has not been initialized
    * CUBLAS_STATUS_INVALID_VALUE    if n < 0 or k < 0
    * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
    * </pre>
    */

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