code: def test_meter_invalid_target(self):
      meter = RecallAtKMeter(topk=[1, 2])
      model_output = torch.tensor(
          [
              [0.2, 0.4, 0.4],  # top-1: 1/2, top-2: 1/2
              [0.2, 0.65, 0.15],  # top-1: 1, top-2: 1/0
              [0.33, 0.33, 0.34],  # top-1: 2, top-2: 2/0/1
          ]
      )
      # Target shape is of length 3
      target = torch.tensor([[[0, 1, 2]]])
  
      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 5 for calling the TestRecallAtKMeter obj's underlying member method code with example usage: obj.test_meter_invalid_target() without return types