class_docstr: Rotate a tensor image or a batch of tensor images 180 degrees.
  
  Input must be a tensor of shape (C, H, W) or a batch of tensors :math:`(*, C, H, W)`.
  
  Args:
      input: input tensor.
  
  Examples:
      >>> rot180 = Rot180()
      >>> input = torch.tensor([[[
      ...    [0., 0., 0.],
      ...    [0., 0., 0.],
      ...    [0., 1., 1.]
      ... ]]])
      >>> rot180(input)
      tensor([[[[1., 1., 0.],
                [0., 0., 0.],
                [0., 0., 0.]]]])
class_docstr_tok: ["Rotate","a","tensor","image","or","a","batch","of","tensor","images","180","degrees",".","Input","must","be","a","tensor","of","shape","(","C",",","H",",","W",")","or","a","batch","of","tensors",":","math",":","`","(","*",",","C",",","H",",","W",")","`",".","Args",":","input",":","input","tensor",".","Examples",":",">",">",">","rot180","=","Rot180","(",")",">",">",">","input","=","torch.tensor","(","[","[","[","...","[","0.",",","0.",",","0",".","]",",","...","[","0.",",","0.",",","0",".","]",",","...","[","0.",",","1.",",","1",".","]","...","]","]","]",")",">",">",">","rot180","(","input",")","tensor","(","[","[","[","[","1.",",","1.",",","0",".","]",",","[","0.",",","0.",",","0",".","]",",","[","0.",",","0.",",","0",".","]","]","]","]",")"]
code: def __repr__(self) -> str:
      return self.__class__.__name__
  
file_path: kornia/kornia/geometry/transform/flips.py
imports: import torch
  from kornia.core import Module, Tensor
label_desc: Use image node_id 2 for calling the Rot180 obj's underlying member method code with example usage: obj.__repr__() and returns: self