code: def test_get_tensor(graph):
      F, G, N = graph
      cugraph_store = CuGraphStore(F, G, N)
  
      for (
          feature_name,
          feature_on_types,
      ) in F.get_feature_list().items():
          for type_name in feature_on_types:
              v_ids = np.arange(N[type_name])
              base_series = F.get_data(
                  v_ids,
                  type_name=type_name,
                  feat_name=feature_name,
              ).tolist()
  
              tsr = cugraph_store.get_tensor(
                  type_name, feature_name, v_ids, None, cupy.int64
              ).tolist()
  
              assert tsr == base_series
  
imports: import cugraph
  from cugraph_pyg.data.cugraph_store import CuGraphTensorAttr, CuGraphEdgeAttr, EdgeLayout
  from cugraph_pyg.data import CuGraphStore
  import cudf
  import cupy
  import numpy
  from cugraph.utilities.utils import import_optional, MissingModule
  import pytest
label_desc: Use image node_id 11 for calling a global function with example usage: test_get_tensor(graph) without return types