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 math
  import torch
  import numpy
  import torch.nn
  from torchvision.transforms import Compose
  from .core.dpt_depth import DPTDepthModel
  from .core.midas_net import MidasNet
  from .core.midas_net_custom import MidasNet_small
  from .core.transforms import Resize, NormalizeImage, PrepareForNet
  from .....misc.toolkit import download_model
label_desc: Use image node_id 3 for calling the MiDaSAPI obj's underlying member method code with example usage: obj.to(device) without return types