code: def forward(self, x, skipx):
      if self.dropout is not None:
          out = self.dropout(x)
      else:
          out = x
      skipxdo = self.dropout2(skipx)
      out = self.act_function1(self.bn1(self.up_conv(out)))
      xcat = torch.cat((out, skipxdo), 1)
      out = self.ops(xcat)
      out = self.act_function2(torch.add(out, xcat))
      return out
  
imports: from __future__ import annotations
  import torch
  import torch.nn
  from monai.networks.blocks.convolutions import Convolution
  from monai.networks.layers.factories import Act, Conv, Dropout, Norm, split_args
  from monai.utils import deprecated_arg
label_desc: Use image node_id 2 for calling the UpTransition obj's underlying member method code with example usage: obj.forward(x, skipx) and returns: out