9ba91fa13cbb1e7bc4069e46469b34abb5ca4869,models/base_model.py,BaseModel,load_networks,#BaseModel#Any#,78

Before Change

                save_filename = "%s_net_%s.pth" % (which_epoch, name)
                save_path = os.path.join(self.save_dir, save_filename)
                net = getattr(self, "net" + name)
                if len(self.gpu_ids) > 0 and torch.cuda.is_available():
                    net.module.load_state_dict(torch.load(save_path))
                else:
                    net.load_state_dict(torch.load(save_path))

    // print network information
    def print_networks(self, verbose):
        print("---------- Networks initialized -------------")
        for name in self.model_names:
            if isinstance(name, str):

After Change

                save_filename = "%s_net_%s.pth" % (which_epoch, name)
                save_path = os.path.join(self.save_dir, save_filename)
                net = getattr(self, "net" + name)
                if isinstance(net, torch.nn.DataParallel):
                    net = net.module
                // if you are using PyTorch newer than 0.4 (e.g., built from
                // GitHub source), you can remove str() on self.device
                state_dict = torch.load(save_path, map_location=str(self.device))
                // patch InstanceNorm checkpoints prior to 0.4
                for key in state_dict:
                    self.__patch_instance_norm_state_dict(state_dict, net, key.split("."))

Instances