code: def to_self(self, net: torch.Tensor) -> torch.Tensor:
      return net.to(self.dtype).to(self.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 4 for calling the MiDaSAPI obj's underlying member method code with example usage: obj.to_self(net) and returns: net