code: def log_std_reg(self, net, reg):
      net.Scale(self.mu, reg, scale=0.5)
  
file_path: pytorch/caffe2/python/layers/adaptive_weight.py
imports: import numpy
  from caffe2.python import core, schema
  from caffe2.python.layers.layers import ModelLayer
  from caffe2.python.regularizer import BoundedGradientProjection, LogBarrier
label_desc: Use image node_id 5 for calling the AdaptiveWeight obj's underlying member method code with example usage: obj.log_std_reg(net, reg) without return types