code: def dtype(self) -> torch.dtype:
      return list(self.model.parameters())[0].dtype
  
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 2 for calling the MiDaSAPI obj's underlying member method code with example usage: obj.dtype() and returns: list