code: def _validate_meter_inputs(self, meter, model_outputs, targets):
      for i in range(len(model_outputs)):
          meter.validate(model_outputs[i].size(), targets[i].size())
  
file_path: vissl/tests/meter_test_utils.py
imports: import unittest
  import torch
label_desc: Use image node_id 2 for calling the ClassificationMeterTest obj's underlying member method code with example usage: obj._validate_meter_inputs(meter, model_outputs, targets) without return types