Image/ShuffleNet/code/train.py

import sys
import os
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))

from utils.dataset_utils import get_cifar10_dataloaders
from utils.train_utils import train_model
from model import ShuffleNet

def main():
    # 获取数据加载器
    trainloader, testloader = get_cifar10_dataloaders(batch_size=128)
    
    # 创建模型
    model = ShuffleNet()
    
    # 训练模型
    train_model(
        model=model,
        trainloader=trainloader,
        testloader=testloader,
        epochs=200,
        lr=0.1,
        device='cuda',
        save_dir='../model',
        model_name='shufflenet'
    )

if __name__ == '__main__':
    main()