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Hello, I would like to ask: in the architecture diagram of the model in the paper, each layer's VSS block is ×2, but in the code, why are the settings depths=[2, 2, 9, 2] and depths_decoder=[2, 9, 2, 2]?
The text was updated successfully, but these errors were encountered:
Hello, I would like to ask: in the architecture diagram of the model in the paper, each layer's VSS block is ×2, but in the code, why are the settings depths=[2, 2, 9, 2] and depths_decoder=[2, 9, 2, 2]?
Maybe you just executed vmunet.py to print the model, but actually "depths=[2, 2, 2, 2] and depths_decoder=[2, 2, 2, 1]" have been declared in train.py where setting_config calls "class setting_config" in "config_setting.py".
Hello, I would like to ask: in the architecture diagram of the model in the paper, each layer's VSS block is ×2, but in the code, why are the settings depths=[2, 2, 9, 2] and depths_decoder=[2, 9, 2, 2]?
The text was updated successfully, but these errors were encountered: