class_docstr: Convert an image from YCbCr to Rgb.
  
  The image data is assumed to be in the range of (0, 1).
  
  Returns:
      RGB version of the image.
  
  Shape:
      - image: :math:`(*, 3, H, W)`
      - output: :math:`(*, 3, H, W)`
  
  Examples:
      >>> input = torch.rand(2, 3, 4, 5)
      >>> rgb = YcbcrToRgb()
      >>> output = rgb(input)  # 2x3x4x5
class_docstr_tok: ["Convert","an","image","from","YCbCr","to","Rgb",".","The","image","data","is","assumed","to","be","in","the","range","of","(","0",",","1",")",".","Returns",":","RGB","version","of","the","image",".","Shape",":","-","image",":",":","math",":","`","(","*",",","3",",","H",",","W",")","`","-","output",":",":","math",":","`","(","*",",","3",",","H",",","W",")","`","Examples",":",">",">",">","input","=","torch.rand","(","2",",","3",",","4",",","5",")",">",">",">","rgb","=","YcbcrToRgb","(",")",">",">",">","output","=","rgb","(","input",")","#","2x3x4x5"]
code: def forward(self, image: Tensor) -> Tensor:
      return ycbcr_to_rgb(image)
  
file_path: kornia/kornia/color/ycbcr.py
imports: import torch
  from torch import Tensor, nn
label_desc: Use image node_id 1 for calling the YcbcrToRgb obj's underlying member method code with example usage: obj.forward(image) and returns: ycbcr_to_rgb