tks for very creative idea of torch pruning,
But my model is exported from pretrained tensorflow model, it's hard to fine tune or re-trained again. So can you give me idea, how can I use torch-prunning with my model. Because I see, after you prune, You need to finetune again model.
I understand that I can convert my tf model to pytorch, than prune model by this lib => I get new model with new architecture, than I can fine tune new model prune-pytorch? right?
Can it's work. Sorry if my question is navie. Tks you
tks for very creative idea of torch pruning, But my model is exported from pretrained tensorflow model, it's hard to fine tune or re-trained again. So can you give me idea, how can I use torch-prunning with my model. Because I see, after you prune, You need to finetune again model. I understand that I can convert my tf model to pytorch, than prune model by this lib => I get new model with new architecture, than I can fine tune new model prune-pytorch? right? Can it's work. Sorry if my question is navie. Tks you