File size: 875 Bytes
93b5397 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 |
import torch
from safetensors.torch import load_file
def load_model(path='model.safetensors'):
return load_file(path)
def xor2(a, b, prefix, w):
or_out = int(a * w[f'{prefix}.or.weight'][0] + b * w[f'{prefix}.or.weight'][1] + w[f'{prefix}.or.bias'] >= 0)
nand_out = int(a * w[f'{prefix}.nand.weight'][0] + b * w[f'{prefix}.nand.weight'][1] + w[f'{prefix}.nand.bias'] >= 0)
and_out = int(or_out * w[f'{prefix}.and.weight'][0] + nand_out * w[f'{prefix}.and.weight'][1] + w[f'{prefix}.and.bias'] >= 0)
return and_out
def parity3(a, b, c, weights):
xor_ab = xor2(a, b, 'xor1', weights)
return xor2(xor_ab, c, 'xor2', weights)
if __name__ == '__main__':
w = load_model()
print('parity3 truth table:')
for i in range(8):
a, b, c = (i >> 2) & 1, (i >> 1) & 1, i & 1
print(f' parity({a},{b},{c}) = {parity3(a, b, c, w)}')
|