code: def create_cugraph_graphstore_from_dgl_dataset(
      dataset_name="ogbn-products", single_gpu=False
  ):
      from cugraph_dgl import cugraph_storage_from_heterograph
  
      (
          dgl_g,
          train_idx,
          valid_idx,
          test_idx,
          num_classes,
      ) = load_dgl_dataset(dataset_name)
      cugraph_gs = cugraph_storage_from_heterograph(
          dgl_g, single_gpu=single_gpu
      )
      return cugraph_gs, train_idx, valid_idx, test_idx, num_classes
  
file_path: cugraph/python/cugraph-dgl/examples/multi_trainer_MG_example/workflow.py
imports: import dgl
  import torch
  import time
  from distributed import Client, Event
  import tempfile
  from cugraph.dask.comms import comms
label_desc: Use image node_id 6 for calling a global function with example usage: create_cugraph_graphstore_from_dgl_dataset(dataset_name, single_gpu) and returns: cugraph_gs,  train_idx,  valid_idx,  test_idx,  num_classes