threshold-priorityencoder8

8-to-3 priority encoder. Outputs 3-bit binary encoding of highest-priority active input.

Function

priority_encode(i7..i0) -> (y2, y1, y0, valid)

• i7 = highest priority, i0 = lowest priority
• y2,y1,y0 = 3-bit binary encoding of highest active input index
• valid = 1 if any input is active

Architecture

Layer 1: 8 neurons (h7..h0)

Each hk detects "ik is the highest active input":

• hk fires when ik=1 AND all higher-priority inputs are 0
• h7: weights [1,0,0,0,0,0,0,0], bias -1
• h6: weights [-1,1,0,0,0,0,0,0], bias -1
• ...
• h0: weights [-1,-1,-1,-1,-1,-1,-1,1], bias -1

Layer 2: 4 neurons

• y2 = h7 OR h6 OR h5 OR h4
• y1 = h7 OR h6 OR h3 OR h2
• y0 = h7 OR h5 OR h3 OR h1
• v = any h active

Parameters

Inputs	8
Outputs	4
Neurons	12
Layers	2
Parameters	108
Magnitude	68

Usage

from safetensors.torch import load_file
import torch

w = load_file('model.safetensors')

# (see model.py for full implementation)

# Example: i5 is highest active (index 5 = 101)
# priority_encode(0,0,1,0,0,0,0,0, w) -> (1, 0, 1, 1)

License

MIT