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from model.backbone.LeViT import *
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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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for name in specification:
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input=torch.randn(1,3,224,224)
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model = globals()[name](fuse=True, pretrained=False)
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model.eval()
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output = model(input)
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print(output.shape)
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