About the function "_setup_graph()”

[aptx1231]

Could you tell me why there must be a call "_setup_graph()" before load this model.
I am a pytorch beginner and hope to get your answers.
The code is here：

`

def load_model(self):
    self._setup_graph()
    assert os.path.exists('models/epo%d.tar' % self._epoch_num), 'Weights at epoch %d not found' % self._epoch_num
    checkpoint = torch.load('models/epo%d.tar' % self._epoch_num, map_location='cpu')
    self.dcrnn_model.load_state_dict(checkpoint['model_state_dict'])
    self._logger.info("Loaded model at {}".format(self._epoch_num))

def _setup_graph(self):
    with torch.no_grad():
        self.dcrnn_model = self.dcrnn_model.eval()

        val_iterator = self._data['val_loader'].get_iterator()

        for _, (x, y) in enumerate(val_iterator):
            x, y = self._prepare_data(x, y)
            output = self.dcrnn_model(x)
            break

`

[yhy0258]

Another question is that there is no directory "models" to load the pre-trained model.