code: def get_device(stream: AbstractStream) -> torch.device:
      """Gets the device from CPU or CUDA stream."""
      if is_cuda(stream):
          return as_cuda(stream).device
      return torch.device("cpu")
  
file_path: fairscale/fairscale/nn/pipe/stream.py
imports: from contextlib import contextmanager
  from typing import Generator, List, Optional, Union, cast
  import torch
label_desc: Use image node_id 6 for calling a global function with example usage: get_device(stream) and returns: torch, as_cuda