| import torch | |
| from safetensors.torch import load_file | |
| def load_model(path='model.safetensors'): | |
| return load_file(path) | |
| def at_least_1_of_6(bits, weights): | |
| """Returns 1 if at least 1 of 6 inputs is high.""" | |
| inputs = torch.tensor([float(b) for b in bits]) | |
| return int((inputs @ weights['neuron.weight'].T + weights['neuron.bias'] >= 0).item()) | |
| if __name__ == '__main__': | |
| w = load_model() | |
| print('1-out-of-6 selected tests:') | |
| for hw in range(7): | |
| bits = [1 if i < hw else 0 for i in range(6)] | |
| result = at_least_1_of_6(bits, w) | |
| expected = 1 if hw >= 1 else 0 | |
| status = 'OK' if result == expected else 'FAIL' | |
| print(f' HW={hw}: {bits} -> {result} {status}') | |