docstr: CUDA is not available on test environment
docstr_tok: ["CUDA","is","not","available","on","test","environment"]
code: def test_using_cuda_raises_error_while_testing(self):
      """CUDA is not available on test environment"""
      self.wrapper.eval()
      input = torch.stack((self.dataset[0][0], self.dataset[1][0]))
      with pytest.raises(Exception):
          self.wrapper.predict_on_batch(input, 1, True)
  
imports: import math
  import unittest
  from unittest.mock import Mock
  import numpy
  import pytest
  import torch
  import torchmetrics
  from torch import nn
  from torch.utils.data import Dataset, DataLoader
  from baal.modelwrapper import ModelWrapper, mc_inference
  from baal.utils.metrics import ClassificationReport
label_desc: Use image node_id 7 for calling the ModelWrapperMultiOutMultiInTest obj's underlying member method code with example usage: obj.test_using_cuda_raises_error_while_testing() without return types