| import torch | |
| # a=torch.load(r"E:\codes\py39\vits_vc_gpu_train\logs\ft-mi-suc\G_1000.pth")["model"]#sim_nsf# | |
| # a=torch.load(r"E:\codes\py39\vits_vc_gpu_train\logs\ft-mi-freeze-vocoder-flow-enc_q\G_1000.pth")["model"]#sim_nsf# | |
| # a=torch.load(r"E:\codes\py39\vits_vc_gpu_train\logs\ft-mi-freeze-vocoder\G_1000.pth")["model"]#sim_nsf# | |
| # a=torch.load(r"E:\codes\py39\vits_vc_gpu_train\logs\ft-mi-test\G_1000.pth")["model"]#sim_nsf# | |
| a = torch.load( | |
| r"E:\codes\py39\vits_vc_gpu_train\logs\ft-mi-no_opt-no_dropout\G_1000.pth" | |
| )[ | |
| "model" | |
| ] # sim_nsf# | |
| for key in a.keys(): | |
| a[key] = a[key].half() | |
| # torch.save(a,"ft-mi-freeze-vocoder_true_1k.pt")# | |
| # torch.save(a,"ft-mi-sim1k.pt")# | |
| torch.save(a, "ft-mi-no_opt-no_dropout.pt") # | |