在使用gunicorn部署应用时，如果使用APScheduler调度任务，可能会出现调度器在gunicorn工作进程的数量上多次运行的问题。这是因为每个工作进程都会独立启动一个APScheduler对象，导致任务被重复执行。

解决这个问题的方法是将APScheduler对象的运行放在主进程中，然后将任务通过消息传递机制发送给子进程执行。这样可以避免重复运行APScheduler对象。

下面是一个示例代码，展示如何使用gunicorn和APScheduler同时部署应用，并避免重复运行APScheduler对象。

from apscheduler.schedulers.background import BackgroundScheduler
import multiprocessing as mp 
import os 

def my_job():
    print('hello world')

# use multiprocessing to spawn multiple workers
workers = int(os.environ.get('GUNICORN_WORKERS', 1))

if workers > 1:
    # create a queue for task messages
    task_queue = mp.Queue()

    # create a scheduler in the main process
    sched = BackgroundScheduler()
    sched.start()

    # add a job to the scheduler
    sched.add_job(my_job, 'interval', minutes=5)

    # send task message to child processes
    for i in range(workers):
        task_queue.put('start')

    # create child processes
    def worker(task_queue):
        sched = BackgroundScheduler()
        sched.start()
        while True:
            # wait for task message
            task = task_queue.get()
            if task == 'start':
                # add job to child scheduler
                sched.add_job(my_job, 'interval', minutes=5)

    processes = []
    for i in range(workers):
        p = mp.Process(target=worker, args=(task_queue,))
        processes.append(p)
        p.start()

    # wait for child processes to finish
    for p in processes:
        p.join()
else:
    # create a scheduler in the main process
    sched = BackgroundScheduler()
    sched.start()

    # add a job to the scheduler
    sched.add_job