code: def forward(self, x):
      x = x.transpose(1, -1)
      x = F.layer_norm(
          x, (self.channels,), self.gamma, self.beta, self.eps
      )
      return x.transpose(1, -1)
  
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 2 for calling the LayerNorm obj's underlying member method code with example usage: obj.forward(x) and returns: x