Solved by googlebot in post #12 
              
              
                Don’t know if such a thing exists. That’s just how gradients work with tensor broadcasting (if scalar from one of inputs is used multiple times, you sum relevent derivatives). 

That’s a bit too abstract. Without positional info, you’re basically limited to mean() and exponential smoothing. Self-at…