code: def test_net3d():
      from deepchem.models.torch_models.gnn3d import Net3D
      import dgl
  
      data, _ = get_regression_dataset()
      graphs = dgl.batch(
          [conformer.to_dgl_graph() for conformer in data.X]
      )
      target_dim = 2
  
      net3d = Net3D(
          hidden_dim=3,
          target_dim=target_dim,
          readout_aggregators=["sum", "mean"],
      )
  
      output = net3d(graphs)
  
      assert output.shape[1] == target_dim
  
file_path: deepchem/deepchem/models/tests/test_gnn3d.py
imports: import os
  import pytest
label_desc: Use image node_id 4 for calling a global function with example usage: test_net3d() without return types