code: def _setup_devices(self) -> Tuple["torch.device", int]:
      logger.info("PyTorch: setting up devices")
      if not self.cuda:
          device = torch.device("cpu")
          n_gpu = 0
      elif is_torch_tpu_available():
          device = xm.xla_device()
          n_gpu = 0
      else:
          device = torch.device(
              "cuda" if torch.cuda.is_available() else "cpu"
          )
          n_gpu = torch.cuda.device_count()
      return device, n_gpu
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/benchmark/benchmark_args.py
imports: from dataclasses import dataclass, field
  from typing import Tuple
  from ..utils import cached_property, is_torch_available, is_torch_tpu_available, logging, torch_required
  from .benchmark_args_utils import BenchmarkArguments
label_desc: Use image node_id 2 for calling the PyTorchBenchmarkArguments obj's underlying member method code with example usage: obj._setup_devices() and returns: device,  n_gpu