code: def test_meter_invalid_target(self):
      meter = AccuracyMeter(topk=[1, 2])
      model_output = torch.tensor([[3, 2, 1], [3, 1, 2], [1, 3, 2]])
      # Target has 3 dimensions instead of expected 1 or 2
      target = torch.tensor([[[0, 1, 2], [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 7 for calling the TestAccuracyMeter obj's underlying member method code with example usage: obj.test_meter_invalid_target() without return types