code: def extend_tensor(t: Union[List[int], torch.Tensor], l: int):
      t = torch.as_tensor(t)
  
      return torch.concat(
          [t, torch.zeros(l - len(t), dtype=t.dtype, device=t.device)]
      )
  
file_path: cugraph/benchmarks/cugraph/standalone/bulk_sampling/trainers/trainer.py
imports: import torch
  from typing import Union, List
label_desc: Use image node_id 1 for calling a global function with example usage: extend_tensor(t, l) and returns: torch