code: def copy_in_params(net, params):
      net_params = list(net.parameters())
      for i in range(len(params)):
          net_params[i].data.copy_(params[i].data)
  
imports: import torch
  import torch.nn
  from torch._utils import _flatten_dense_tensors, _unflatten_dense_tensors
label_desc: Use image node_id 1 for calling a global function with example usage: copy_in_params(net, params) without return types