code: def test_sum_up_accuracy(self):
      logits = torch.FloatTensor(
          [
              [2.22, -0.14, 0.13],
              [0.12, 1.05, 3.13],
              [-0.56, 0.19, 1.02],
          ],
          device="cpu",
      )
  
      cls = torch.IntTensor([0, 2, 1])
      clf = SimplePytorchClassifier(3)
  
      accuracy = clf.sum_up_accuracy_(logits, cls)
      self.assertEqual(2, accuracy)
  
imports: import pytest
  import unittest
  from unittest.mock import Mock, patch
  from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
  from small_text.training.model_selection import ModelSelection, NoopModelSelection
  from tests.utils.datasets import random_text_classification_dataset
label_desc: Use image node_id 16 for calling the SimplePytorchClassifierTest obj's underlying member method code with example usage: obj.test_sum_up_accuracy() without return types