| import torch | |
| from safetensors.torch import load_file | |
| def load_model(path='model.safetensors'): | |
| return load_file(path) | |
| def mux16(data, s3, s2, s1, s0, weights): | |
| """16:1 Multiplexer: returns data[s] where s = 8*s3 + 4*s2 + 2*s1 + s0""" | |
| inp = torch.tensor([float(d) for d in data] + [float(s3), float(s2), float(s1), float(s0)]) | |
| l1 = (inp @ weights['layer1.weight'].T + weights['layer1.bias'] >= 0).float() | |
| out = (l1 @ weights['layer2.weight'].T + weights['layer2.bias'] >= 0).float() | |
| return int(out.item()) | |
| if __name__ == '__main__': | |
| w = load_model() | |
| print('MUX16 verification:') | |
| for s in range(16): | |
| s3, s2, s1, s0 = (s >> 3) & 1, (s >> 2) & 1, (s >> 1) & 1, s & 1 | |
| data = [0] * 16 | |
| data[s] = 1 | |
| result = mux16(data, s3, s2, s1, s0, w) | |
| print(f' s={s:2d} ({s3}{s2}{s1}{s0}), d[{s}]=1 -> {result}') | |