code: def luv2bgr(tens: Tensor) -> Tensor:
      r"""
          Converts an LUV Tensor to its BGR version.
  
      Args:
          tens (Tensor): Valid LUV Tensor
  
      Returns:
          BGR Tensor of shape ``(height, width, channels)``
  
      Raises:
          ValueError: If `tens` is not of shape 3
  
      """
      if not _is_luv_image(tens):
          raise ValueError(
              f"Tensor of shape 3 expected. Found shape {len(tens.shape)}. "
              "This function converts an LUV Tensor to its BGR counterpart"
          )
  
      img = cv.cvtColor(tens, LUV2BGR)
      return to_tensor(img, cspace="bgr")
  
file_path: caer/caer/color/_luv.py
imports: import cv2
  from ..coreten import Tensor, to_tensor
  from ._constants import LUV2BGR, LUV2RGB
  from ._bgr import bgr2gray, bgr2hls, bgr2hsv, bgr2lab, bgr2yuv
label_desc: Use image node_id 2 for calling a global function with example usage: luv2bgr(tens) and returns: to_tensor