code: def device(self):
      return list(self.model.parameters())[0].device
  
imports: import torch
  from torch import nn
  from torch.nn import functional
  from omegaconf import OmegaConf
  import torchvision
  from torchvision.transforms import transforms
  from torchvision.models.resnet import ResNet, Bottleneck
  from fvcore.common.param_scheduler import MultiStepParamScheduler
  from detectron2.solver import WarmupParamScheduler
  from detectron2.solver.build import get_default_optimizer_params
  from detectron2.config import LazyCall
  from detectron2.model_zoo import get_config
  from detectron2.data.samplers import TrainingSampler, InferenceSampler
  from detectron2.evaluation import DatasetEvaluator
  from detectron2.utils import comm
label_desc: Use image node_id 2 for calling the ClassificationNet obj's underlying member method code with example usage: obj.device() and returns: list