code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      x = self.ln(x)
      x = x.permute((0, 2, 1))
      x = self.depthwise(x)
      x = self.act(x)
      x = self.out(x)
      x = x.permute((0, 2, 1))
      return x
  
imports: from typing import Tuple
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.utils import parametrize
  from TTS.tts.layers.delightful_tts.kernel_predictor import KernelPredictor
label_desc: Use image node_id 2 for calling the DepthwiseConvModule obj's underlying member method code with example usage: obj.forward(x) and returns: x