code: def test_predict_multi_input(self):
      x = (
          torch.rand(ModelMultiInputTest.evaluate_dataset_len, 1),
          torch.rand(ModelMultiInputTest.evaluate_dataset_len, 1),
      )
      pred_y = self.model.predict(
          x, batch_size=ModelMultiInputTest.batch_size
      )
      self.assertEqual(
          pred_y.shape, (ModelMultiInputTest.evaluate_dataset_len, 1)
      )
  
imports: import numpy
  import torch
  import torch.nn
  from torch.utils.data import DataLoader
  from poutyne import Model, TensorDataset
  from tests.framework.model.base import ModelFittingTestCase, MultiIOModel
label_desc: Use image node_id 13 for calling the ModelMultiInputTest obj's underlying member method code with example usage: obj.test_predict_multi_input() without return types