code: def finalize_updown(
      self, updown, orig_weight, output_shape, ex_bias=None
  ):
      if self.bias is not None:
          updown = updown.reshape(self.bias.shape)
          updown += self.bias.to(
              orig_weight.device, dtype=orig_weight.dtype
          )
          updown = updown.reshape(output_shape)
  
      if len(output_shape) == 4:
          updown = updown.reshape(output_shape)
  
      if orig_weight.size().numel() == updown.size().numel():
          updown = updown.reshape(orig_weight.shape)
  
      if ex_bias is not None:
          ex_bias = ex_bias * self.multiplier()
  
      return updown * self.calc_scale() * self.multiplier(), ex_bias
  
imports: from __future__ import annotations
  import os
  from collections import namedtuple
  import enum
  from modules import sd_models, cache, errors, hashes, shared
label_desc: Use image node_id 4 for calling the NetworkModule obj's underlying member method code with example usage: obj.finalize_updown(updown, orig_weight, output_shape, ex_bias) and returns: unknown,  ex_bias