code: def forward(self, x, *args, reverse=False, **kwargs):
      x = torch.flip(x, [1])
      if not reverse:
          logdet = torch.zeros(x.size(0)).to(
              dtype=x.dtype, device=x.device
          )
          return x, logdet
      else:
          return x
  
imports: import torch
  from torch import nn
  from torch.nn import Conv1d
  from torch.nn import functional
  from torch.nn.utils.parametrizations import weight_norm
  from torch.nn.utils.parametrize import remove_parametrizations
  import TTS.vc.modules.freevc.commons
  from TTS.vc.modules.freevc.commons import get_padding, init_weights
label_desc: Use image node_id 1 for calling the Flip obj's underlying member method code with example usage: obj.forward(x) and returns: x,  logdet, x