    def forward(self, xs: torch.Tensor) -> torch.Tensor:
        """Forward function.

        Args:
            xs: input tensor (B, L, D)
        Returns:
            output tensor, (B, L, D)
        """
        return self.w_2(self.dropout(self.activation(self.w_1(xs))))
Forward function.

Args:
xs: input tensor (B, L, D)
Returns:
output tensor, (B, L, D)
modules/wenet_extractor/transformer/positionwise_feed_forward.py