determinism problem

[xuuuluuu]

Hi Kipf,

Nice work. I am trying to run the model but failed to get the same result everytime even with the below lines.

np.random.seed(args.seed)
torch.manual_seed(args.seed)
if args.cuda:
torch.cuda.manual_seed(args.seed)

[ChrisZhangcx]

I met with the same problem. Did you figure out how to solve this?

[ChrisZhangcx]

It turns out to me that the set() method in utils.py line 7 contributes to this issue.
Cuz every time we transform a list into a set, the order will be different.
There are two methods to solve this:

1. Change set to hashset.
2. Replace origin line 7 with 'classes = sorted(set(labels))'.

I utilized the second method and this problem have been solved. Please check this out.

[xuuuluuu]

It turns out to me that the set() method in utils.py line 7 contributes to this issue.
Cuz every time we transform a list into a set, the order will be different.
There are two methods to solve this:

1. Change set to hashset.
2. Replace origin line 7 with 'classes = sorted(set(labels))'.

I utilized the second method and this problem have been solved. Please check this out.

I think you are right. the set is not ordered by default.