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import torch
from safetensors.torch import load_file
def load_model(path='model.safetensors'):
return load_file(path)
def binary_to_thermometer(b2, b1, b0, weights):
"""Convert 3-bit binary to 7-bit thermometer code.
Returns list [y0, y1, ..., y6] where yi=1 iff value > i.
"""
inp = torch.tensor([float(b2), float(b1), float(b0)])
outputs = []
for i in range(7):
y = int((inp * weights[f'y{i}.weight']).sum() + weights[f'y{i}.bias'] >= 0)
outputs.append(y)
return outputs
if __name__ == '__main__':
w = load_model()
print('Binary to Thermometer Converter')
print('Value -> Thermometer')
for val in range(8):
b2, b1, b0 = (val >> 2) & 1, (val >> 1) & 1, val & 1
therm = binary_to_thermometer(b2, b1, b0, w)
print(f" {val} -> {''.join(map(str, therm))}")
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