| import torch | |
| from safetensors.torch import load_file | |
| def load_model(path='model.safetensors'): | |
| return load_file(path) | |
| def iszero8(bits, weights): | |
| inp = torch.tensor([float(b) for b in bits]) | |
| return int((inp @ weights['neuron.weight'].T + weights['neuron.bias'] >= 0).item()) | |
| if __name__ == '__main__': | |
| w = load_model() | |
| print('iszero8: outputs 1 only for input 00000000') | |
| for i in [0, 1, 128, 255]: | |
| bits = [(i >> j) & 1 for j in range(8)] | |
| print(f' {i:08b} -> {iszero8(bits, w)}') | |