code: def test_casting_empty_array():
      ar = cp.zeros(shape=0, dtype=cp.int32)
      ser = cudf.Series(ar)
      output_tensor = cast_to_tensor(ser)
      assert output_tensor.dtype == torch.int32
  
file_path: cugraph/python/cugraph-dgl/tests/test_utils.py
imports: import cudf
  import cupy
  import numpy
  from cugraph_dgl.dataloading.utils.sampling_helpers import cast_to_tensor, _get_renumber_map, _split_tensor, _get_tensor_d_from_sampled_df, create_homogeneous_sampled_graphs_from_dataframe, _get_source_destination_range, _create_homogeneous_cugraph_dgl_nn_sparse_graph, create_homogeneous_sampled_graphs_from_dataframe_csc
  from cugraph.utilities.utils import import_optional
label_desc: Use image node_id 1 for calling a global function with example usage: test_casting_empty_array() without return types