(handle, transa, transb, m, n, k,
                       alpha, A, lda, B, ldb, beta, C, ldc, batchCount)
Matrix-matrix product for arrays of real single precision general matrices.

    References
    ----------
    `cublas<t>gemmBatched <http://docs.nvidia.com/cuda/cublas/#cublas-lt-t-gt-gemmbatched>`_
Matrix-matrix product for arrays of real single precision general matrices.
Matrix - matrix product for arrays of real single precision general matrices .
def cublasSgemmBatched(handle, transa, transb, m, n, k,
                       alpha, A, lda, B, ldb, beta, C, ldc, batchCount):
    """
    Matrix-matrix product for arrays of real single precision general matrices.

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

    status = _libcublas.cublasSgemmBatched(handle,
                                           _CUBLAS_OP[transa],
                                           _CUBLAS_OP[transb], m, n, k,
                                           ctypes.byref(ctypes.c_float(alpha)),
                                           int(A), lda, int(B), ldb,
                                           ctypes.byref(ctypes.c_float(beta)),
                                           int(C), ldc, batchCount)
    cublasCheckStatus(status)
def cublasSgemmBatched ( handle , transa , transb , m , n , k , alpha , A , lda , B , ldb , beta , C , ldc , batchCount ) : status = _libcublas . cublasSgemmBatched ( handle , _CUBLAS_OP [ transa ] , _CUBLAS_OP [ transb ] , m , n , k , ctypes . byref ( ctypes . c_float ( alpha ) ) , int ( A ) , lda , int ( B ) , ldb , ctypes . byref ( ctypes . c_float ( beta ) ) , int ( C ) , ldc , batchCount ) cublasCheckStatus ( status )