def forward()

in inference/model.py [0:0]

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

    def forward(self, x: torch.Tensor) -> torch.Tensor:
        """
        Forward pass for the custom linear layer.

        Args:
            x (torch.Tensor): Input tensor.

        Returns:
            torch.Tensor: Transformed tensor after linear computation.
        """
        return linear(x, self.weight, self.bias)