shuffle_seed: 0 # 数据打散的种子 干嘛用的

https://blog.youkuaiyun.com/u010589524/article/details/89371919

 

TRAIN: # 训练配置
    batch_size: 32 # 训练的batch size
    num_workers: 4 # 每个trainer(1块GPU上可以视为1个trainer)的进程数量
    file_list: "./dataset/flowers102/train_list.txt" # 训练集标签文件，每一行由"image_name label"组成
    data_dir: "./dataset/flowers102/" # 训练集的图像数据路径
    shuffle_seed: 0 # 数据打散的种子

通过设置全局随机种子使得每次的训练结果相同可以复现

 

https://aistudio.baidu.com/bdvgpu32g/user/2292/515777/notebooks/515777.ipynb?redirects=1

 

 

https://blog.youkuaiyun.com/linzch3/article/details/58220569?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.nonecase&depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.nonecase