removed comments

python/external_models/hf_runner.py

@@ -65,18 +65,13 @@ def generate(self, input: str, target_prefix: str = "") -> List[Tuple[str, float
  eos_token_id=eos_token_id,
  **self.generation_args
  )
- # outputs = outputs[0].tolist()[len(tokenized_input.input_ids[0]) :]
  response = self.tokenizer.batch_decode(
  outputs['sequences'], skip_special_tokens=True)
- # response = response.split("<|im_end|>")[0]
  result = []
- # if we ues beam search here should be zip(response,outputs.sequence_scores)
  index = 0
  for out, score in zip(response, outputs.scores):
  out = post_process_output(self.name, out)
  result.append((out, score[index].exp().sum().log().cpu().item()))
- # if beam seach:
- # result.append((out,score.exp().item()))
  index += 1
  result = choices_dedup(result)
  return result