【问题解决】2024-1-9 用gpu跑yolov8模型遇到的问题 : An attempt has been made to start a new process before the curre

问题描述：An attempt has been made to start a new process before the current process has finished its bootstrapping phase.

想用gpu训练模型，运行mytrain.py

mytrain.py文件：
from ultralytics import YOLO
import multiprocessing
# 加载一个模型
    model = YOLO('yolov8n.yaml')  # 从yaml构建一个新模型
    model = YOLO('weights/yolov8n.pt')  #  加载预先训练的模型（建议进行训练）
    model = YOLO('yolov8n.yaml').load('weights/yolov8n.pt')  # 根据YAML构建并传递权重
    results = model.train(data='datas/my_data.yaml', epochs=100, imgsz=640)

报错：

canning D:\myDesktop\ultralytics-main2\datas\labels\train.cache... 1720 images, 0 backgrounds, 0 corrupt: 100%|██████████| 1720/1720 [00:00<?, ?it/s] Traceback (most recent call last): File "<string>", line 1, in <module> File "D:\MyTools\mylab\lib\multiprocessing\spawn.py", line 116, in spawn_main exitcode = _main(fd, parent_sentinel) File "D:\MyTools\mylab\lib\multiprocessing\spawn.py", line 125, in _main prepare