| import torch | |
| from safetensors.torch import load_file | |
| def load_model(path='model.safetensors'): | |
| return load_file(path) | |
| def signbit8(a7, a6, a5, a4, a3, a2, a1, a0, weights): | |
| """Returns sign bit (MSB) of 8-bit number. 1 = negative in 2's complement.""" | |
| inp = torch.tensor([float(a7), float(a6), float(a5), float(a4), | |
| float(a3), float(a2), float(a1), float(a0)]) | |
| return int((inp @ weights['neuron.weight'].T + weights['neuron.bias'] >= 0).item()) | |
| if __name__ == '__main__': | |
| w = load_model() | |
| print('signbit8 selected tests:') | |
| for i in [0, 1, 127, 128, 255]: | |
| bits = [(i >> (7-j)) & 1 for j in range(8)] | |
| result = signbit8(*bits, w) | |
| signed_val = i if i < 128 else i - 256 | |
| print(f' {i:3d} ({i:08b}) signed={signed_val:+4d} -> sign={result}') | |