class_docstr: ## Linear projections for shortcut connection
  
  This does the $W_s x$ projection described above.
class_docstr_tok: ["#","#","Linear","projections","for","shortcut","connection","This","does","the","$","W_s","x","$","projection","described","above","."]
code: def forward(self, x: torch.Tensor):
      # Convolution and batch normalization
      return self.bn(self.conv(x))
  
file_path: annotated_deep_learning_paper_implementations/labml_nn/resnet/__init__.py
imports: from typing import List, Optional
  import torch
  from torch import nn
  from labml_helpers.module import Module
label_desc: Use image node_id 2 for calling the ShortcutProjection obj's underlying member method code with example usage: obj.forward(x) and returns: self