22 lines
467 B
Python
22 lines
467 B
Python
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from model.backbone.CaiT import CaiT
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import torch
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from torch import nn
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if __name__ == '__main__':
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input=torch.randn(1,3,224,224)
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model = CaiT(
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img_size= 224,
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patch_size=16,
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embed_dim=192,
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depth=24,
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num_heads=4,
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mlp_ratio=4,
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qkv_bias=True,
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norm_layer=partial(nn.LayerNorm, eps=1e-6),
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init_scale=1e-5,
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depth_token_only=2
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)
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output=model(input)
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print(output.shape)
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