There is a model, CliqueNet (k = 150; T = 30), in Table 4 in your paper. I have trained it using the command:
python train.py --gpu 0 --dataset cifar-10 --k 150 --T 30 --dir ./checkpoints --if_a True --if_b True --if_c True . However, the total number of parameters is shown as 10.48M but not 10.02M which is written in your paper. It is the only model with the inconsistent number of parameters while your codes show that all the other models have the same number of parameters as what are written in paper.
Would you please check this conflict?