code: def __init__(
      self, uv_symmetries: Dict[str, torch.Tensor], device: torch.device
  ):
      self.mask_label_symmetries = (
          DensePoseTransformData.MASK_LABEL_SYMMETRIES
      )
      self.point_label_symmetries = (
          DensePoseTransformData.POINT_LABEL_SYMMETRIES
      )
      self.uv_symmetries = uv_symmetries
      self.device = torch.device("cpu")
  
imports: from typing import BinaryIO, Dict, Union
  import torch
label_desc: Use image node_id 1 to create a new DensePoseTransformData object  with example: obj = DensePoseTransformData(uv_symmetries, device)