code: def scaled_compute_loss(self, pred):
      # Loss values need zoom out further.
      return reduce_to_scalar_loss(pred) / 1000.0
  
imports: import importlib
  import logging
  import os
  import re
  import subprocess
  import sys
  import warnings
  import torch
  from common import BenchmarkRunner, download_retry_decorator, main
  from torch._dynamo.testing import collect_results, reduce_to_scalar_loss
  from torch._dynamo.utils import clone_inputs
label_desc: Use image node_id 12 for calling the TimmRunner obj's underlying member method code with example usage: obj.scaled_compute_loss(pred) and returns: unknown