code: def forward(self, x, mid) -> torch.Tensor:
      out: torch.Tensor = self.relu(self.norm(self.conv_layer(x)) + mid)
      return out
  
imports: from __future__ import annotations
  from collections.abc import Sequence
  import torch
  from torch import nn
  from torch.nn import functional
  from monai.networks.blocks import Convolution
  from monai.networks.layers import same_padding
  from monai.networks.layers.factories import Conv, Norm, Pool
label_desc: Use image node_id 2 for calling the LocalNetResidualBlock obj's underlying member method code with example usage: obj.forward(x, mid) and returns: out