def preprocess()

in sparse_autoencoder/model.py [0:0]

• 5 lines of code
• 2 McCabe index (conditional complexity)

    def preprocess(self, x: torch.Tensor) -> tuple[torch.Tensor, dict[str, Any]]:
        if not self.normalize:
            return x, dict()
        x, mu, std = LN(x)
        return x, dict(mu=mu, std=std)