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

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

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

    status = _libcublas.cublasSgemm_v2(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)
    cublasCheckStatus(status)
def cublasSgemm ( handle , transa , transb , m , n , k , alpha , A , lda , B , ldb , beta , C , ldc ) : status = _libcublas . cublasSgemm_v2 ( 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 ) cublasCheckStatus ( status )