| --- |
| license: mit |
| tags: |
| - pytorch |
| - safetensors |
| - threshold-logic |
| - neuromorphic |
| - encoder |
| --- |
| |
| # 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 |
| |
| ```python |
| 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 |
| |
