| import torch | |
| from safetensors.torch import load_file | |
| def load_model(path='model.safetensors'): | |
| return load_file(path) | |
| def demux(d, s, weights): | |
| """1:2 Demultiplexer: routes d to y0 if s=0, to y1 if s=1""" | |
| inp = torch.tensor([float(d), float(s)]) | |
| y0 = int((inp @ weights['y0.weight'].T + weights['y0.bias'] >= 0).item()) | |
| y1 = int((inp @ weights['y1.weight'].T + weights['y1.bias'] >= 0).item()) | |
| return y0, y1 | |
| if __name__ == '__main__': | |
| w = load_model() | |
| print('DEMUX truth table:') | |
| for d in [0, 1]: | |
| for s in [0, 1]: | |
| y0, y1 = demux(d, s, w) | |
| print(f'DEMUX({d}, s={s}) = y0={y0}, y1={y1}') | |