metadata
license: mit
tags:
- pytorch
- safetensors
- threshold-logic
- neuromorphic
threshold-binary2gray
4-bit binary to Gray code converter.
Function
binary2gray(B3, B2, B1, B0) -> (G3, G2, G1, G0)
Conversion formulas:
- G3 = B3
- G2 = B3 XOR B2
- G1 = B2 XOR B1
- G0 = B1 XOR B0
Example Conversions
| Binary | Gray |
|---|---|
| 0000 (0) | 0000 |
| 0001 (1) | 0001 |
| 0010 (2) | 0011 |
| 0011 (3) | 0010 |
| 0100 (4) | 0110 |
| 0101 (5) | 0111 |
| 0110 (6) | 0101 |
| 0111 (7) | 0100 |
Architecture
Parallel XOR gates for each output bit:
B3 ─────────────────────────► G3
B3,B2 ─► [XOR] ─────────────► G2
B2,B1 ─► [XOR] ─────────────► G1
B1,B0 ─► [XOR] ─────────────► G0
Each XOR uses 3 neurons (OR, NAND, AND) with mag-7 structure.
Parameters
| Inputs | 4 |
| Outputs | 4 |
| Neurons | 10 |
| Layers | 2 |
| Parameters | 43 |
| Magnitude | 33 |
Usage
from safetensors.torch import load_file
# Full implementation in model.py
License
MIT