Reproducing the paper results

[LSunQQ]

Thank you for your exciting work and very clean code. I am having trouble reproducing the results mentioned in the paper and would appreciate it if you could help me.

1. Reproducing the results of cifar100
   I was trying to get the scores on the samples from Table 2 in the paper. However, the results on all datasets did not match the ones that I see in the paper. I ran your code twice with "python3 train.py --dataset cifar100 --lbl-percent 10 --novel-percent 50 --arch resnet18". The result on seen，novel， all class is 1-2% lower than that in your paper.
   logcifar100_label10_1.txt
   logcifar100_label10_2.txt

2. With 50% label，The performance on the CIFAR-100 dataset with 50% label，the paper suggested adjusting the temperature to 0.2. However，the results on novel class is 41% while 49% in paper.
   logcifar100_label50_t0.2.txt
   with temperature set to 0.1, the result on novel class is 1% lower than that in your paper .
   logcifar100_label50_t0.1.txt

3. I noticed that the CosineAnnealingLR with warm-up mentioned in your paper has been removed.

Thanks a lot for your time.