code: def test_meter_invalid_model_output(self):
      meter = RecallAtKMeter(topk=[1, 2])
      # This model output has 3 dimensions instead of expected 2
      model_output = torch.tensor(
          [
              [[0.33, 0.33, 0.34], [1, 2, 3]],
              [[-1, -3, -4], [-10, -90, -100]],
          ]
      )
      target = torch.tensor([[0, 1, 0], [1, 0, 0], [1, 1, 1]])
  
      self.meter_invalid_meter_input_test(meter, model_output, target)
  
file_path: ClassyVision/test/meters_recall_meter_test.py
imports: import torch
  from classy_vision import meters
  from classy_vision.meters import RecallAtKMeter
  from test.generic.meter_test_utils import ClassificationMeterTest
label_desc: Use image node_id 4 for calling the TestRecallAtKMeter obj's underlying member method code with example usage: obj.test_meter_invalid_model_output() without return types