code: def test_init():
      encoder = torch.nn.Linear(16, 32)
      decoder = torch.nn.Linear(32, 16)
      discriminator = torch.nn.Linear(32, 1)
  
      GAE(encoder, decoder)
      VGAE(encoder, decoder)
      ARGA(encoder, discriminator, decoder)
      ARGVA(encoder, discriminator, decoder)
  
file_path: pytorch_geometric/test/nn/models/test_autoencoder.py
imports: import torch
  from torch import Tensor
  from torch_geometric.data import Data
  from torch_geometric.nn import ARGA, ARGVA, GAE, VGAE
  from torch_geometric.testing import is_full_test
  from torch_geometric.transforms import RandomLinkSplit
label_desc: Use image node_id 5 for calling a global function with example usage: test_init() without return types