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import torch
from safetensors.torch import load_file
def load_model(path='model.safetensors'):
return load_file(path)
def shiftleft4(a3, a2, a1, a0, w):
"""Left shift by 1 bit. MSB is lost, 0 shifts in at LSB."""
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()
print('shiftleft4 examples:')
for val in [0b0001, 0b0101, 0b1000, 0b1111]:
a3, a2, a1, a0 = (val >> 3) & 1, (val >> 2) & 1, (val >> 1) & 1, val & 1
result = shiftleft4(a3, a2, a1, a0, w)
print(f' {a3}{a2}{a1}{a0} << 1 = {"".join(map(str, result))}')
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