why not model.eval() after model.load_state_dict(state['state_dict']) code example
Example: how to save a neural network pytorch
Saving:
torch.save(model, PATH)
Loading:
model = torch.load(PATH)
model.eval()
Saving:
torch.save(model, PATH)
Loading:
model = torch.load(PATH)
model.eval()