| import torch | |
| from safetensors.torch import load_file | |
| def load_model(path='model.safetensors'): | |
| return load_file(path) | |
| def decode2to4(a1, a0, weights): | |
| inp = torch.tensor([float(a1), float(a0)]) | |
| return [int((inp * weights[f'y{i}.weight']).sum() + weights[f'y{i}.bias'] >= 0) for i in range(4)] | |
| if __name__ == '__main__': | |
| w = load_model() | |
| print('2-to-4 Decoder:') | |
| for val in range(4): | |
| a1, a0 = (val >> 1) & 1, val & 1 | |
| result = decode2to4(a1, a0, w) | |
| print(f' {val} ({a1}{a0}) -> {"".join(map(str, result))}') | |