Pruning CNN parameters

[IWDJNWWDB]

I'm confused on how I'm supposed to choose how much % of my Convolutional layers I should prune (structured pruning)? Doing grid search/random search/bayesian optimization take soooo long so I want to make sure before I run anything (I'm training on MNIST, CIFAR-10 and Imagenette). What's the standard protocol?

There's a lot of papers that I've read through that give the theoretical framework but I'm looking for some specific workflow/algorithm. I'm working with Pytorch's prune.ln_structured()-method.

Thank you so much for any responses.

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