code: def set_trainable_attr(m, b):
      m.trainable = b
      for p in m.parameters():
          p.requires_grad = b
  
imports: import torch
  import logging
  import torch.nn
  import torch.nn.functional
  from torchvision import models
  from itertools import chain
  import numpy
  from collections import OrderedDict
label_desc: Use image node_id 4 for calling a global function with example usage: set_trainable_attr(m, b) without return types