code: def test_predict_with_np_array_multi_input(self):
      x1 = np.random.rand(
          ModelMultiInputTest.evaluate_dataset_len, 1
      ).astype(np.float32)
      x2 = np.random.rand(
          ModelMultiInputTest.evaluate_dataset_len, 1
      ).astype(np.float32)
      x = (x1, x2)
      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 14 for calling the ModelMultiInputTest obj's underlying member method code with example usage: obj.test_predict_with_np_array_multi_input() without return types