def culaDeviceZgemm(transa, transb, m, n, k, alpha, A, lda, B, ldb, beta, C, ldc):
    transa = transa.encode('ascii')
    transb = transb.encode('ascii')
    status = _libcula.culaDeviceZgemm(transa, transb, m, n, k,
                                      cuda.cuDoubleComplex(alpha.real,
                                                        alpha.imag),
                                      int(A), lda, int(B), ldb,
                                      cuda.cuDoubleComplex(beta.real,
                                                        beta.imag),
                                      int(C), ldc)
    culaCheckStatus(status)

# SGEMV, DGEMV, CGEMV, ZGEMV
Matrix-matrix product for complex general matrix.
dataset/ETHPy150Open lebedov/scikit-cuda/skcuda/cula.py/culaDeviceZgemm