code: def gpus():
      if torch.cuda.is_available():
          return [0]
      else:
          return 0
  
file_path: pytorch-forecasting/tests/test_models/conftest.py
imports: import numpy
  import pytest
  import torch
  from pytorch_forecasting import TimeSeriesDataSet
  from pytorch_forecasting.data import EncoderNormalizer, GroupNormalizer, NaNLabelEncoder
  from pytorch_forecasting.data.examples import generate_ar_data, get_stallion_data
label_desc: Use image node_id 1 for calling a global function with example usage: gpus() and returns: list, int