code: def test_meter_invalid_topk(self):
      meter = AccuracyMeter(topk=[1, 5])
      model_output = torch.tensor([[3, 2, 1], [3, 1, 2], [1, 3, 2]])
      target = torch.tensor([0, 1, 2])
  
      self.meter_invalid_meter_input_test(meter, model_output, target)
  
file_path: ClassyVision/test/meters_accuracy_meter_test.py
imports: import torch
  from classy_vision import meters
  from classy_vision.meters import AccuracyMeter
  from test.generic.meter_test_utils import ClassificationMeterTest
label_desc: Use image node_id 8 for calling the TestAccuracyMeter obj's underlying member method code with example usage: obj.test_meter_invalid_topk() without return types