import torch | |
import torch.nn as nn | |
class BlendModule(nn.Module): | |
def __init__(self, model_path, device): | |
super().__init__() | |
self.model = torch.jit.load(model_path).to(device) | |
def forward(self, swap, mask, att_img): | |
return self.model(swap, mask, att_img) | |