code: def forward(
      self, x: torch.Tensor
  ) -> Tuple[torch.Tensor, torch.Tensor]:
      u = self.conv_sigmoid(x) * self.conv_tanh(x)
      s = self.conv_skip(u)
      if not self.return_dense_output:
          return s, torch.zeros_like(u)
  
      out = self.conv_residual(u)
      out = out + x[..., (self.kernel_size - 1) * self.dilation :]
  
      return s, out
  
imports: from typing import List, Optional, Tuple
  import torch
  import torch.nn
  from gluonts.core.component import validated
  from gluonts.torch.modules.feature import FeatureEmbedder
  from gluonts.torch.modules.lookup_table import LookupValues
label_desc: Use image node_id 2 for calling the CausalDilatedResidualLayer obj's underlying member method code with example usage: obj.forward(x) and returns: s,  out, s,  torch