code: def copy_into_params(net, input_tens):
      net_params = list(net.parameters())
      for i in range(len(input_tens)):
          net_params[i].data.copy_(input_tens[i])
  
imports: import torch
  import torch.nn
  from torch._utils import _flatten_dense_tensors, _unflatten_dense_tensors
label_desc: Use image node_id 14 for calling a global function with example usage: copy_into_params(net, input_tens) without return types