code: def to(self, device: str, *, use_half: bool = False) -> None:
      self.device = device
      self.model.to(device)
  
imports: import torch
  import numpy
  import torch.nn
  import torch.nn.functional
  from PIL import Image
  from torch import Tensor
  from cftool.cv import to_rgb
  from torchvision.transforms.functional import normalize
  from ....misc.toolkit import download_model
label_desc: Use image node_id 2 for calling the ISNetAPI obj's underlying member method code with example usage: obj.to(device) without return types