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import pickle
import functools
import torch
from configs import paths_config, global_config
def toogle_grad(model, flag=True):
for p in model.parameters():
p.requires_grad = flag
def load_tuned_G(run_id, type):
new_G_path = f'{paths_config.checkpoints_dir}/model_{run_id}_{type}.pt'
with open(new_G_path, 'rb') as f:
new_G = torch.load(f).to(global_config.device).eval()
new_G = new_G.float()
toogle_grad(new_G, False)
return new_G
def load_old_G():
with open(paths_config.stylegan2_ada_ffhq, 'rb') as f:
old_G = pickle.load(f)['G_ema'].to(global_config.device).eval()
old_G = old_G.float()
return old_G
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