code: def basic_pyg_graph_2():
      edge_index = torch.tensor(
          [
              [0, 1, 0, 2, 3, 0, 4, 0, 5, 0, 6, 7, 0, 8, 9],
              [1, 9, 2, 9, 9, 4, 9, 5, 9, 6, 9, 9, 8, 9, 0],
          ]
      )
      size = (10, 10)
      return edge_index, size
  
imports: import os
  import pytest
  from dask_cuda.initialize import initialize
  from dask_cuda import LocalCUDACluster
  from dask.distributed import Client
  from cugraph.dask.comms import comms
  from cugraph.dask.common.mg_utils import get_visible_devices
  from cugraph.testing.mg_utils import stop_dask_client
  import torch
  import numpy
  from cugraph.gnn import FeatureStore
  from cugraph.datasets import karate
  import tempfile
label_desc: Use image node_id 9 for calling a global function with example usage: basic_pyg_graph_2() and returns: edge_index,  size