class_docstr: Coding `input - round(mean)` using `mean - round(mean)`
code: def update(self, force: bool = True) -> bool:
      bottleneck_updated = self._entropy_model.update_tables(
          force=force
      )
      return bottleneck_updated
  
imports: import math
  from typing import Any, List, Optional, Tuple
  import scipy.stats
  import torch
  import torch.nn
  from compressai.entropy_models import EntropyModel
  from compressai.ops import LowerBound
  from torch import Tensor
label_desc: Use image node_id 8 for calling the GsnConditionalLocScaleShift obj's underlying member method code with example usage: obj.update(force) and returns: bottleneck_updated