code: def some_data_tensor_generator_multi_output(batch_size):
      while True:
          x = torch.rand(batch_size, 1)
          y1 = torch.rand(batch_size, 1)
          y2 = torch.rand(batch_size, 1)
          yield x, (y1, y2)
  
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 1 for calling a global function with example usage: some_data_tensor_generator_multi_output(batch_size) without return types