def METHOD_NAME(self):
    cfg_path = 'kie/sdmgr/sdmgr_unet16_60e_wildreceipt.py'
    self.visual_model_cfg = self._get_cfg(cfg_path)
    self.visual_model = MODELS.build(self.visual_model_cfg)
    cfg_path = 'kie/sdmgr/sdmgr_novisual_60e_wildreceipt.py'
    self.novisual_model_cfg = self._get_cfg(cfg_path)
    self.novisual_model = MODELS.build(self.novisual_model_cfg)
    data_sample = KIEDataSample()
    data_sample.gt_instances = InstanceData(
        bboxes=torch.FloatTensor([[0, 0, 1, 1], [1, 1, 2, 2]]),
        labels=torch.LongTensor([0, 1]),
        edge_labels=torch.LongTensor([[0, 1], [1, 0]]),
        texts=['text1', 'text2'],
        relations=torch.rand((2, 2, 5)))
    self.visual_data = dict(
        inputs=[torch.rand((3, 10, 10))], data_samples=[data_sample])
    self.novisual_data = dict(
        inputs=[torch.Tensor([]).reshape((0, 0, 0))],
        data_samples=[data_sample])