code: def test_multiclass_recall_fused(self) -> None:
      rec_metric_value_test_launcher(
          target_clazz=MulticlassRecallMetric,
          target_compute_mode=RecComputeMode.FUSED_TASKS_COMPUTATION,
          test_clazz=TestMulticlassRecallMetric,
          metric_name=MulticlassRecallMetricTest.task_name,
          task_names=["t1", "t2", "t3"],
          fused_update_limit=0,
          compute_on_all_ranks=False,
          should_validate_update=False,
          world_size=WORLD_SIZE,
          entry_point=metric_test_helper,
          n_classes=N_CLASSES,
      )
  
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 MulticlassRecallMetricTest obj's underlying member method code with example usage: obj.test_multiclass_recall_fused() without return types