请问下这里已经有gpu锁了,同时又没有将多个request_data拼成一个,完成并行的原理到时是啥呀

[seetimee]

    async def process_requests_by_type(self, requests, request_types, request_ids):
    tasks = []
    for request_data, request_type, request_id in zip(requests, request_types, request_ids):
        if request_type == 'embed':
            task = asyncio.create_task(self.run_with_semaphore(self.model.embed, request_data.sentences, request_id))
        else:  # 'rerank'
            task = asyncio.create_task(self.run_with_semaphore(self.model.rerank, request_data.sentence_pairs, request_id))
        tasks.append(task)
    await asyncio.gather(*tasks)
async def run_with_semaphore(self, func, data, request_id):
    async with self.gpu_lock:  # Wait for sem
        future = self.executor.submit(func, data)
        try:
            result = await asyncio.wait_for(asyncio.wrap_future(future), timeout= gpu_time_out)
            self.response_futures[request_id].set_result(result)
        except asyncio.TimeoutError:
            self.response_futures[request_id].set_exception(TimeoutError("GPU processing timeout"))
        except Exception as e:
            self.response_futures[request_id].set_exception(e)