class_docstr: Simple residual unit
class_docstr_tok: ["Simple","residual","unit"]
code: def forward(self, x: Tensor) -> Tensor:
      identity = x
      out = self.conv(x)
      out += identity
      out = self.activation(out)
      return out
  
imports: from typing import List, Optional
  import torch
  import torch.nn
  from compressai.layers import GDN, AttentionBlock
  from neural.layers_utils import make_conv, make_deconv
  from torch import Tensor
label_desc: Use image node_id 2 for calling the ResidualUnit obj's underlying member method code with example usage: obj.forward(x) and returns: out