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73f9979 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | import torch
from safetensors.torch import save_file
weights = {
'neuron.weight': torch.tensor([[1.0, 1.0, 1.0, 1.0, 1.0, 1.0]], dtype=torch.float32),
'neuron.bias': torch.tensor([-6.0], dtype=torch.float32)
}
save_file(weights, 'model.safetensors')
def test(bits):
inputs = torch.tensor([float(b) for b in bits])
return int((inputs @ weights['neuron.weight'].T + weights['neuron.bias'] >= 0).item())
print("Verifying 6-out-of-6...")
errors = 0
for i in range(64):
bits = [(i >> j) & 1 for j in range(6)]
result = test(bits)
expected = 1 if sum(bits) >= 6 else 0
if result != expected:
errors += 1
if errors == 0:
print("All 64 test cases passed!")
else:
print(f"FAILED: {errors} errors")
print(f"Magnitude: {sum(t.abs().sum().item() for t in weights.values()):.0f}")
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