code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      x = self.res_blocks(x)
      x = self.norm(x)
      x = self.activation(x)
      x = self.convtr(x)
      return x
  
imports: from dataclasses import dataclass
  import typing
  import torch
  from torch import nn
  from torch.nn import functional
  from audiocraft.modules.transformer import StreamingTransformer, create_sin_embedding
label_desc: Use image node_id 2 for calling the DecoderLayer obj's underlying member method code with example usage: obj.forward(x) and returns: x