| import torch | |
| from safetensors.torch import load_file | |
| def load_model(path='model.safetensors'): | |
| return load_file(path) | |
| def tristate4(e, d3, d2, d1, d0, weights): | |
| """4-bit tristate buffer. E=1 passes data, E=0 outputs zeros.""" | |
| inp = torch.tensor([float(e), float(d3), float(d2), float(d1), float(d0)]) | |
| y0 = int((inp @ weights['y0.weight'].T + weights['y0.bias'] >= 0).item()) | |
| y1 = int((inp @ weights['y1.weight'].T + weights['y1.bias'] >= 0).item()) | |
| y2 = int((inp @ weights['y2.weight'].T + weights['y2.bias'] >= 0).item()) | |
| y3 = int((inp @ weights['y3.weight'].T + weights['y3.bias'] >= 0).item()) | |
| return y3, y2, y1, y0 | |
| if __name__ == '__main__': | |
| w = load_model() | |
| print('4-bit Tristate Buffer:') | |
| for e in [0, 1]: | |
| for d in [5, 10]: | |
| d3, d2, d1, d0 = (d >> 3) & 1, (d >> 2) & 1, (d >> 1) & 1, d & 1 | |
| y3, y2, y1, y0 = tristate4(e, d3, d2, d1, d0, w) | |
| print(f' E={e}, D={d3}{d2}{d1}{d0} -> {y3}{y2}{y1}{y0}') | |