22 lines
518 B
Python
22 lines
518 B
Python
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from model.backbone.PatchConvnet import PatchConvnet
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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 = PatchConvnet(
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patch_size=16,
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embed_dim=384,
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depth=60,
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num_heads=1,
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qkv_bias=True,
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norm_layer=partial(nn.LayerNorm, eps=1e-6),
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Patch_layer=ConvStem,
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Attention_block=Conv_blocks_se,
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depth_token_only=1,
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mlp_ratio_clstk=3.0,
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)
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output=model(input)
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print(output.shape)
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