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import torch
from safetensors.torch import load_file
def load_model(path='model.safetensors'):
return load_file(path)
def mux(a, b, s, weights):
"""2:1 Multiplexer: returns a if s=0, b if s=1"""
inp = torch.tensor([float(a), float(b), float(s)])
l1 = (inp @ weights['layer1.weight'].T + weights['layer1.bias'] >= 0).float()
out = (l1 @ weights['layer2.weight'].T + weights['layer2.bias'] >= 0).float()
return int(out.item())
if __name__ == '__main__':
w = load_model()
print('MUX truth table:')
for a in [0, 1]:
for b in [0, 1]:
for s in [0, 1]:
result = mux(a, b, s, w)
print(f'MUX({a}, {b}, s={s}) = {result}')
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