19 lines
402 B
Python
19 lines
402 B
Python
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from model.backbone.PIT import PoolingTransformer
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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 = PoolingTransformer(
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image_size=224,
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patch_size=14,
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stride=7,
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base_dims=[64, 64, 64],
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depth=[3, 6, 4],
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heads=[4, 8, 16],
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mlp_ratio=4
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)
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output=model(input)
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print(output.shape)
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