from model.backbone.CeiT import CeIT
import torch
from torch import nn

if __name__ == '__main__':
    input=torch.randn(1,3,224,224)
    model = CeIT(
        hybrid_backbone=Image2Tokens(),
        patch_size=4,
        embed_dim=192,
        depth=12,
        num_heads=3,
        mlp_ratio=4,
        qkv_bias=True,
        norm_layer=partial(nn.LayerNorm, eps=1e-6)
        )
    output=model(input)
    print(output.shape)