def forward(self, input: Tensor) -> Tensor:
        """Computes the truncated sigmoid activation of the input tensor."""
        output = torch.sigmoid(input)
        output = output.clamp(min=self.min, max=self.max)
        return output
Computes the truncated sigmoid activation of the input tensor.
mmpose/mmpose/models/heads/heatmap_heads/cid_head.py