code: def rescale_conv(conv, reference):
      std = conv.weight.std().detach()
      scale = (std / reference) ** 0.5
      conv.weight.data /= scale
      if conv.bias is not None:
          conv.bias.data /= scale
  
imports: import math
  import time
  import torch
  from torch import nn
  from torch.nn import functional
  from .resample import downsample2, upsample2
  from .utils import capture_init
label_desc: Use image node_id 1 for calling a global function with example usage: rescale_conv(conv, reference) without return types