code: def test_loss(
      self,
      ddp,
      dist_sync_on_step,
      loss_sum_or_avg,
      num_measurements,
      take_avg_loss,
  ):
      self.run_class_loss_test(
          ddp=ddp,
          loss_sum_or_avg=loss_sum_or_avg,
          num_measurements=num_measurements,
          dist_sync_on_step=dist_sync_on_step,
          take_avg_loss=take_avg_loss,
      )
  
imports: import pytest
  import torch
  from nemo.collections.common.metrics.classification_accuracy import TopKClassificationAccuracy
  from nemo.collections.common.metrics.punct_er import DatasetPunctuationErrorRate, OccurancePunctuationErrorRate, punctuation_error_rate
  from .loss_inputs import ALL_NUM_MEASUREMENTS_ARE_ZERO, NO_ZERO_NUM_MEASUREMENTS, SOME_NUM_MEASUREMENTS_ARE_ZERO
  from .perplexity_inputs import NO_PROBS_NO_LOGITS, ONLY_LOGITS1, ONLY_LOGITS100, ONLY_PROBS, PROBS_AND_LOGITS
  from .pl_utils import LossTester, PerplexityTester
label_desc: Use image node_id 1 for calling the TestLoss obj's underlying member method code with example usage: obj.test_loss(ddp, dist_sync_on_step, loss_sum_or_avg, num_measurements, take_avg_loss) without return types