| import torch | |
| from safetensors.torch import load_file | |
| def load_model(path='model.safetensors'): | |
| return load_file(path) | |
| def iszero4(a, b, c, d, weights): | |
| inp = torch.tensor([float(a), float(b), float(c), float(d)]) | |
| return int((inp @ weights['neuron.weight'].T + weights['neuron.bias'] >= 0).item()) | |
| if __name__ == '__main__': | |
| w = load_model() | |
| print('iszero4: outputs 1 only for input 0000') | |
| for i in [0, 1, 8, 15]: | |
| bits = [(i >> j) & 1 for j in range(4)] | |
| print(f' {i:04b} -> {iszero4(*bits, w)}') | |