code: def forward(self, x, skip=None):
      x = self.linear(x)
      if self.transposed:
          x = F.pad(x[..., :-1], (1, 0))  # Shift to ensure causality
          x = rearrange(x, "... (h s) l -> ... h (l s)", s=self.stride)
      else:
          x = F.pad(
              x[..., :-1, :], (0, 0, 1, 0)
          )  # Shift to ensure causality
          x = rearrange(x, "... l (h s) -> ... (l s) h", s=self.stride)
      if skip is not None:
          x = x + skip
      return x, None
  
imports: import torch
  import torch.nn.functional
  from einops import rearrange, reduce, repeat
  from torch import nn
  from espnet2.asr.state_spaces.base import SequenceModule
  from espnet2.asr.state_spaces.components import LinearActivation
label_desc: Use image node_id 2 for calling the UpPool obj's underlying member method code with example usage: obj.forward(x, skip) and returns: x,  None