| license: mit | |
| tags: | |
| - pytorch | |
| - safetensors | |
| - threshold-logic | |
| - neuromorphic | |
| # threshold-majority5 | |
| 5-input majority gate. Outputs 1 when at least 3 of 5 inputs are high. | |
| ## Function | |
| majority5(a, b, c, d, e) = 1 if (a + b + c + d + e) >= 3, else 0 | |
| ## Architecture | |
| Single neuron: weights [1, 1, 1, 1, 1], bias -3 | |
| Fires when: sum >= 3 | |
| ## Parameters | |
| | | | | |
| |---|---| | |
| | Inputs | 5 | | |
| | Outputs | 1 | | |
| | Neurons | 1 | | |
| | Layers | 1 | | |
| | Parameters | 6 | | |
| | Magnitude | 8 | | |
| ## Usage | |
| ```python | |
| from safetensors.torch import load_file | |
| import torch | |
| w = load_file('model.safetensors') | |
| def majority5(a, b, c, d, e): | |
| inp = torch.tensor([float(a), float(b), float(c), float(d), float(e)]) | |
| return int((inp @ w['neuron.weight'].T + w['neuron.bias'] >= 0).item()) | |
| print(majority5(0, 0, 1, 1, 1)) # 1 | |
| print(majority5(0, 0, 0, 1, 1)) # 0 | |
| ``` | |
| ## License | |
| MIT | |