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"""
Threshold Network for MOD-9 Circuit
For 8-bit inputs, HW ranges 0-8, all less than 9, so HW mod 9 = HW.
"""
import torch
from safetensors.torch import load_file
class ThresholdMod9:
def __init__(self, weights_dict):
self.weight = weights_dict['weight']
self.bias = weights_dict['bias']
def __call__(self, bits):
inputs = torch.tensor([float(b) for b in bits])
return (inputs * self.weight).sum() + self.bias
@classmethod
def from_safetensors(cls, path="model.safetensors"):
return cls(load_file(path))
if __name__ == "__main__":
weights = load_file("model.safetensors")
model = ThresholdMod9(weights)
for hw in range(9):
bits = [1]*hw + [0]*(8-hw)
print(f"HW={hw}: out={model(bits).item():.0f}, HW mod 9 = {hw}")
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