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Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)

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Could you please provide the code to draw Figure 1? Thanks a lot!

Thank you for your work. I didn't find any code in your repository about the zero-order gradient pruning part proposed in your paper. Do you not open source the code...

很感谢您的工作,但是在论文中,我对p的含义很混乱,在您文中提到的,p大概代表需要剪掉的比例,那也就是说零阶梯度越大,越应该被剪掉 ![image](https://github.com/ylsung/ECoFLaP/assets/95926907/4cda5c64-1c42-4288-91bb-f045945f1060) 只有这样那个s.t.才成立,但是如果p代表剪掉的比例,那么N_select就代表全局保留个数,那为什么s小的,我保留的就少呢,这不是和前面矛盾了嘛 ![image](https://github.com/ylsung/ECoFLaP/assets/95926907/afb0ca97-65ec-4521-a57f-2c8477cc894e)