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Hello, I would like to ask how I can use your pruning method to prune the swin-t transformer-tiny model to get a model after pruning, I see that your search architecture part is used to search how to prune? Generate spvit_swin_t_l28_t32_search_12epoch.pth file to guide the next pruning? Or is it something else? Is that fine-tuning part used to restore the performance of the model after pruning? Thank you very much for your advice!``
The text was updated successfully, but these errors were encountered:
Thanks for your interest in our work! You are correct that:
spvit_swin_t_l28_t32_search_12epoch.pth is the output of the search process which guides the pruning process.
The fine-tuning part is used to restore the performance of the model after pruning.
Please see the configuration for pruning Swin-ti here and the fine-tuned weights without knowledge distillation here. You can also find more fine-tuned weights in this page.
Can you send me a swin-transformer-tiny model file with the model structure and weights after pruning? (Only pruning, not knowledge distillation) github downloaded file. It doesn't seem to contain the structure of the model after pruning Thank you very much
Hello, I would like to ask how I can use your pruning method to prune the swin-t transformer-tiny model to get a model after pruning, I see that your search architecture part is used to search how to prune? Generate spvit_swin_t_l28_t32_search_12epoch.pth file to guide the next pruning? Or is it something else? Is that fine-tuning part used to restore the performance of the model after pruning? Thank you very much for your advice!``
The text was updated successfully, but these errors were encountered: