code: def test_none_hundred(self):
      top_k_acc = TopKAccuracy(3, reduction="none")
      actual = top_k_acc(
          self.predictions, self.top_3_label_predictions[:, 0]
      )
      self.assertEqual(self.targets.shape, actual.shape)
      self.assertTrue(
          torch.all(
              100.0 * torch.ones_like(self.targets).float() == actual
          )
      )
  
imports: from unittest import TestCase, skipIf
  import numpy
  import torch
  from poutyne import Accuracy, BinaryAccuracy, TopKAccuracy, acc, bin_acc, topk
label_desc: Use image node_id 10 for calling the TopKAccuracyTest obj's underlying member method code with example usage: obj.test_none_hundred() without return types