Hi, thank you so much for sharing this great work. I'm thinking of doing some finetune one the 128^2 imagenet pretrained pkl model. However, I'm not sure how could I do that. For example, what syn_layers, head_layers,... should be and what arguments should I pass in to the train.py? Is it possible for you to provide an example on that?
Hi, thank you so much for sharing this great work. I'm thinking of doing some finetune one the 128^2 imagenet pretrained pkl model. However, I'm not sure how could I do that. For example, what syn_layers, head_layers,... should be and what arguments should I pass in to the train.py? Is it possible for you to provide an example on that?