code: def setUp(self) -> None:
      # Create testing labels, predictions and weights
      model_output = gen_test_batch(128)
      (
          self.labels,
          self.predictions,
          self.weights,
          _,
      ) = parse_task_model_outputs([DefaultTaskInfo], model_output)
  
file_path: torchrec/torchrec/metrics/tests/test_recmetric.py
imports: import unittest
  import torch
  from torchrec.metrics.metrics_config import DefaultTaskInfo
  from torchrec.metrics.model_utils import parse_task_model_outputs
  from torchrec.metrics.mse import MSEMetric
  from torchrec.metrics.ne import NEMetric
  from torchrec.metrics.rec_metric import RecComputeMode, RecMetric
  from torchrec.metrics.test_utils import gen_test_batch, gen_test_tasks
label_desc: Use image node_id 1 for calling the RecMetricTest obj's underlying member method code with example usage: obj.setUp() without return types