code: def rgb_to_ycbcr(image: Tensor) -> Tensor:
      r"""Convert an RGB image to YCbCr.
  
      .. image:: _static/img/rgb_to_ycbcr.png
  
      Args:
          image: RGB Image to be converted to YCbCr with shape :math:`(*, 3, H, W)`.
  
      Returns:
          YCbCr version of the image with shape :math:`(*, 3, H, W)`.
  
      Examples:
          >>> input = torch.rand(2, 3, 4, 5)
          >>> output = rgb_to_ycbcr(input)  # 2x3x4x5
      """
      if not isinstance(image, Tensor):
          raise TypeError(
              f"Input type is not a Tensor. Got {type(image)}"
          )
  
      if len(image.shape) < 3 or image.shape[-3] != 3:
          raise ValueError(
              f"Input size must have a shape of (*, 3, H, W). Got {image.shape}"
          )
  
      r: Tensor = image[..., 0, :, :]
      g: Tensor = image[..., 1, :, :]
      b: Tensor = image[..., 2, :, :]
  
      delta: float = 0.5
      y: Tensor = _rgb_to_y(r, g, b)
      cb: Tensor = (b - y) * 0.564 + delta
      cr: Tensor = (r - y) * 0.713 + delta
      return torch.stack([y, cb, cr], -3)
  
file_path: kornia/kornia/color/ycbcr.py
imports: import torch
  from torch import Tensor, nn
label_desc: Use image node_id 2 for calling a global function with example usage: rgb_to_ycbcr(image) and returns: torch