g = [1, 2, 3, 4]

@ray.remote
def f(*g):    # *g is
    return np.mean(g, axis=0)
f_ids = [f.remote(*g) for _ in range(10)]
print(ray.get(f.remote(*f_ids)))

@ray.remote
def f(g):    # g is object ID list
    return np.mean(g, axis=0)
f_ids = [f.remote(g) for _ in range(10)]
print(ray.get(f.remote(f_ids)))

@remote
def f(g1, g2):    # g1 and g2 are object ID lists
    ...           # do something here