model.py

import torch
from safetensors.torch import load_file
def load_model(path='model.safetensors'):
    return load_file(path)
def shiftright4(a3, a2, a1, a0, w):
    inp = torch.tensor([float(a3), float(a2), float(a1), float(a0)])
    return [int((inp @ w[f'y{i}.weight'].T + w[f'y{i}.bias'] >= 0).item()) for i in [3,2,1,0]]
if __name__ == '__main__':
    w = load_model()
    for val in [0b0001, 0b0101, 0b1000, 0b1111]:
        a3, a2, a1, a0 = (val >> 3) & 1, (val >> 2) & 1, (val >> 1) & 1, val & 1
        print(f'{a3}{a2}{a1}{a0} >> 1 = {"".join(map(str, shiftright4(a3, a2, a1, a0, w)))}')