code: def set_requires_grad(model, val):
      for p in model.parameters():
          p.requires_grad = val
  
imports: import copy
  import random
  from functools import wraps, partial
  import torch
  from torch import nn, einsum
  import torch.nn.functional
  from torchvision import transforms
  from einops import rearrange, reduce, repeat
label_desc: Use image node_id 5 for calling a global function with example usage: set_requires_grad(model, val) without return types