code: def setUp(self):
      self.predictions = torch.Tensor(
          [
              [0.35, 0.25, 0.1, 0.1, 0.2],
              [0.1, 0.7, 0.0, 0.2, 0.0],
              [0.0, 0.7, 0.1, 0.2, 0.0],
              [0.1, 0.5, 0.0, 0.3, 0.0],
              [0.0, 0.3, 0.1, 0.7, 0.0],
              [0.1, 0.6, 0.0, 0.3, 0.0],
          ]
      )
      self.top_3_label_predictions = torch.Tensor(
          [
              [0, 1, 4],
              [1, 3, 0],
              [1, 3, 0],
              [1, 3, 0],
              [3, 1, 2],
              [1, 3, 0],
          ]
      )
      self.targets = torch.Tensor([-100, 4, 1, -100, 3, 0])
      self.top_k_acc = 75.0
  
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 1 for calling the IgnoreIndexTopKAccuracyTest obj's underlying member method code with example usage: obj.setUp() without return types