python并行编程

参考网站：https://python-parallel-programmning-cookbook.readthedocs.io/zh_CN/latest/index.html

多进程模板

def show_predict_batch(predict_model_list, predict_path):
    """
    批量处理预测模型
    @predict_model_list: 预测的模型列表
    @predict_path: 预测模型存放路径
    return: None
    """
    for i, predict_model in enumerate(tqdm(predict_model_list)):
        try:
            save_predict(predict_model, predict_path)
        except KeyError:
            print("predict_model: ", predict_model)
        except Exception as e:
            raise e


def parallel_show_predict(model_list, predict_path, n_workers=8):
    """
    多进程处理
    """
    if len(model_list) < n_workers:
        n_workers = len(model_list)
    chunk_len = len(model_list) // n_workers

    chunk_lists = [model_list[i:i+chunk_len] for i in range(0, (n_workers-1)*chunk_len, chunk_len)]
    chunk_lists.append(model_list[(n_workers - 1)*chunk_len:])
    
    process_list = [Process(target=show_predict_batch, args=(chunk_list, predict_path, )) for chunk_list in chunk_lists]
    for process in process_list:
        process.start()
    for process in process_list:
        process.join()

python并行编程

原文：https://www.cnblogs.com/xiaxuexiaoab/p/14606487.html