code: def test_tensor_predict_on_batch_multi_input(self):
      x1 = torch.rand(ModelMultiInputTest.batch_size, 1)
      x2 = torch.rand(ModelMultiInputTest.batch_size, 1)
      pred_y = self.model.predict_on_batch((x1, x2))
      self.assertEqual(
          pred_y.shape, (ModelMultiInputTest.batch_size, 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 16 for calling the ModelMultiInputTest obj's underlying member method code with example usage: obj.test_tensor_predict_on_batch_multi_input() without return types