Open liaocs2008 opened 4 years ago
Hm, unfortunately I'm not sure what your problem might be. What's the exact command you ran?
The command I used is:
python main.py 0 1 6 1 100 10000000000000000 5 codes/BCH_63_45.alist codes/BCH_63_45.gmat laskdjhf 0.5 100000 FNOMS
Oh, I think the problem is you used L=0.5
. That enables the syndrome loss. I found that the syndrome loss can help FER but hurt BER, so maybe that's the problem.
Change the 0.5
in your command to 1.0
and the 100000
to 20000
, and you should get the results in the NOMS paper.
Hi,
I tried to run the script on BCH (63, 45) using your default setting. However, I didn't find loss decreasing for even 100K iterations. The final BER is very close to original belief propagation. Could you help me fix it?
The output is following: