11 lines
355 B
Python
11 lines
355 B
Python
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from model.backbone.CoaT import CoaT
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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 = CoaT(patch_size=4, embed_dims=[152, 152, 152, 152], serial_depths=[2, 2, 2, 2], parallel_depth=6, num_heads=8, mlp_ratios=[4, 4, 4, 4])
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output=model(input)
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print(output.shape) # torch.Size([1, 1000])
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