code: def test_reset(self) -> None:
      ne = NEMetric(
          world_size=1,
          my_rank=0,
          batch_size=64,
          tasks=[DefaultTaskInfo],
          compute_mode=RecComputeMode.UNFUSED_TASKS_COMPUTATION,
          window_size=1000,
          fused_update_limit=0,
      )
      ne.update(
          predictions=self.predictions,
          labels=self.labels,
          weights=self.weights,
      )
      ne = ne._metrics_computations[0]
      window_buffer = ne._batch_window_buffers[
          "window_cross_entropy_sum"
      ].buffers
      self.assertTrue(len(window_buffer) > 0)
      ne.reset()
      window_buffer = ne._batch_window_buffers[
          "window_cross_entropy_sum"
      ].buffers
      self.assertEqual(len(window_buffer), 0)
  
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 6 for calling the RecMetricTest obj's underlying member method code with example usage: obj.test_reset() without return types