code: def forward(self, x):
      if self.contiguous:
          return x.transpose(*self.dims).contiguous()
      else:
          return x.transpose(*self.dims)
  
imports: import math
  import numpy
  from typing import Optional
  import torch
  import torch.nn
  import torch.nn.functional
  from ..common._base_windows import BaseWindows
  from ..losses.pytorch import MAE
label_desc: Use image node_id 2 for calling the Transpose obj's underlying member method code with example usage: obj.forward(x) and returns: x, x