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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 SwinTransformer
def main():
# 获取数据加载器
trainloader, testloader = get_cifar10_dataloaders(batch_size=128)
# 创建模型
model = SwinTransformer(
img_size=32,
patch_size=4,
in_chans=3,
num_classes=10,
embed_dim=96,
depths=[2, 2, 6, 2],
num_heads=[3, 6, 12, 24],
window_size=7,
mlp_ratio=4.,
qkv_bias=True,
drop_rate=0.0,
attn_drop_rate=0.0,
drop_path_rate=0.1
)
# 训练模型
train_model(
model=model,
trainloader=trainloader,
testloader=testloader,
epochs=200,
lr=0.001, # Transformer类模型通常使用较小的学习率
device='cuda',
save_dir='../model',
model_name='swin_transformer'
)
if __name__ == '__main__':
main()
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