| 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 | |
| ```python | |
| from safetensors.torch import load_file | |
| # Full implementation in model.py | |
| ``` | |
| ## License | |
| MIT | |