hnaik / kocodes Goto Github PK

To train KO(8,2) run default setting by: $ python train_KO_m2.py --gpu 0 --m 8 --enc_train_snr 0 --dec_train_snr -2 --batch_size 100000

To test KO(8,2) : python test_KO_m2.py --gpu 0 --m 8 --enc_train_snr 0 --dec_train_snr -2 --batch_size 100000

To train KO(9,2) run default setting by: $ python train_KO_m2.py --gpu 0 --m 9 --enc_train_snr -2 --dec_train_snr -4 --batch_size 50000

To test KO(9,2) : python test_KO_m2.py --gpu 0 --m 9 --enc_train_snr -2 --dec_train_snr -4 --batch_size 50000

To train KO(6,1) run default setting by: $ python train_KO_m1_dumer.py --gpu 0 --m 6

To test KO(6,1) : python test_KO_m1_dumer.py --gpu 0 --m 6

To train KO(6,1) with MAP decoding run default setting by: $ python train_KO_m1_map.py --gpu 0 --m 6

To test KO(6,1) with MAP decoding: python test_KO_m1_map.py --gpu 0 --m 6

To train Polar(64,7) run default setting by: $ python train_Polar_m6k7.py --gpu 0

To test Polar(64,7): python test_Polar_m6k7.py --gpu 0