code: def to(self, device: torch.device, *, use_half: bool) -> None:
      if use_half:
          self.model.half()
      else:
          self.model.float()
      self.device = device
      self.model.to(device)
  
imports: import os
  import math
  import torch
  import numpy
  import torch.nn
  import torch.nn.functional
  from typing import Optional
  from cftool.cv import to_uint8
  from ....parameters import OPT
label_desc: Use image node_id 3 for calling the PiDiAPI obj's underlying member method code with example usage: obj.to(device) without return types