print('loading checkpoint.......')
model_dict = model.state_dict()
pretrained_dict = torch.load(weight_path)
pretrained_dict = {k:v for k, v in pretrained_dict.items() if k in model_dict}
model_dict.update(pretrained_dict)
model.load_state_dict(model_dict)
print('loaded successfully!')