I am trying to find a way to constraint on the output from a neural network. This output is supposed to be the signed distance function to multiple non-overlapping objects. In particular, I hope the output (multi-channel) to have at most one channel being negative. I wonder if there is any activation function or regularizing loss function that helps to enforce this condition.