code: def gen_content(
      self, metrics, loss, preds, targets, scores, contexts
  ):
      for i in range(len(scores)):
          yield [contexts["utterance"][i], scores[i]]
  
imports: import json
  import math
  import operator
  import time
  import torch
  import torch.nn.functional
  from pytext.common.constants import Stage
  from pytext.config.module_config import PerplexityType
  from pytext.data import CommonMetadata
  from pytext.metrics.language_model_metrics import compute_language_model_metric, LanguageModelMetric
  from pytext.utils import cuda
  from .channel import ConsoleChannel, FileChannel
  from .metric_reporter import MetricReporter
label_desc: Use image node_id 2 for calling the LanguageModelChannel obj's underlying member method code with example usage: obj.gen_content(metrics, loss, preds, targets, scores, contexts) without return types