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import torch
from safetensors.torch import load_file
def load_model(path='model.safetensors'):
return load_file(path)
def decode_3to8(a2, a1, a0, weights):
"""3-to-8 decoder: converts 3-bit binary to one-hot 8-bit output.
Returns list [y0, y1, ..., y7] where yi=1 iff input = i.
"""
inp = torch.tensor([float(a2), float(a1), float(a0)])
outputs = []
for i in range(8):
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('3-to-8 Decoder')
print('Input -> One-hot output')
for val in range(8):
a2, a1, a0 = (val >> 2) & 1, (val >> 1) & 1, val & 1
outputs = decode_3to8(a2, a1, a0, w)
print(f" {val} ({a2},{a1},{a0}) -> {''.join(map(str, outputs))}")
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