code: def _compute(states: Dict[str, torch.Tensor]) -> torch.Tensor:
      return compute_multiclass_recall_at_k(
          states["tp_at_k"],
          states["total_weights"],
      )
  
file_path: torchrec/torchrec/metrics/tests/test_multiclass_recall.py
imports: import unittest
  from typing import Dict, Type
  import torch
  from torchrec.metrics.multiclass_recall import compute_multiclass_recall_at_k, get_multiclass_recall_states, MulticlassRecallMetric
  from torchrec.metrics.rec_metric import RecComputeMode, RecMetric
  from torchrec.metrics.test_utils import metric_test_helper, rec_metric_value_test_launcher, TestMetric
label_desc: Use image node_id 2 for calling the TestMulticlassRecallMetric obj's underlying member method code with example usage: obj._compute(states) and returns: compute_multiclass_recall_at_k