code: def _get_states(
      labels: torch.Tensor,
      predictions: torch.Tensor,
      weights: torch.Tensor,
  ) -> Dict[str, torch.Tensor]:
      return {}
  
imports: import unittest
  from functools import partial, update_wrapper
  from typing import Callable, Dict, List, Optional, Tuple, Type
  import torch
  import torch.distributed
  from torchrec.metrics.metrics_config import DefaultTaskInfo
  from torchrec.metrics.model_utils import parse_task_model_outputs
  from torchrec.metrics.rec_metric import RecComputeMode, RecMetric, RecTaskInfo
  from torchrec.metrics.test_utils import gen_test_batch, gen_test_tasks, metric_test_helper, rec_metric_value_test_launcher, TestMetric
  from torchrec.metrics.tower_qps import TowerQPSMetric
label_desc: Use image node_id 2 for calling the TestTowerQPSMetric obj's underlying member method code with example usage: obj._get_states(labels, predictions, weights) and returns: dict