def configure_optimizers(self) -> torch.optim.Optimizer:
        """Configure optimizers for each decoder.

        Returns:
            Optimizer: Adam optimizer for each decoder
        """
        return optim.Adam(
            params=self.model.parameters(),
            lr=0.001,
            weight_decay=0.00001,
        )
Configure optimizers for each decoder.

        Returns:
            Optimizer: Adam optimizer for each decoder
        
src/anomalib/models/image/fastflow/lightning_model.py