code: def test_fine_grained_mlp(plain_last):
      mlp = MLP(
          [16, 32, 32, 64],
          dropout=[0.1, 0.2, 0.3],
          bias=[False, True, False],
      )
      assert mlp(torch.randn(4, 16)).size() == (4, 64)
  
imports: import pytest
  import torch
  from torch_geometric.nn import MLP
label_desc: Use image node_id 4 for calling a global function with example usage: test_fine_grained_mlp(plain_last) without return types