[Bug] Got weight with same value when running examples.

[HaoKang-Timmy]

Hi, I tested the example with Supervised learning and Glister strategy.
https://github.com/decile-team/cords/blob/main/examples/SL/image_classification/python_notebooks/CORDS_SL_CIFAR10_Custom_Train.ipynb
But when I print the weight of the train loader, they are all 1.0. I believe that by using Glister strategy, we will get different weights.

tensor([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
        1., 1.], device='cuda:0')

Is that a bug or something special?
Thanks.

[HaoKang-Timmy]

Could you please have a look at this? @krishnatejakk,@noilreed

[krishnatejakk]

@HaoKang-Timmy GLISTER is not a weighted subset selection problem. Hence, it always returns equal weights. We include weights with all strategies to make the training framework consistent.

[HaoKang-Timmy]

Thank you very much. It seems that I was wrong. Krishnateja Killamsetty ***@***.***> 于2022年10月17日周一 23:19写道：

…

@HaoKang-Timmy <https://github.com/HaoKang-Timmy> GLISTER is not a weighted subset selection problem. Hence, it always returns equal weights. We include weights with all strategies to make the training framework consistent. — Reply to this email directly, view it on GitHub <#80 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AOKSYWYLK6NSYCDF3RLWZBTWDVVBNANCNFSM6AAAAAAQ63MSKE> . You are receiving this because you were mentioned.Message ID: ***@***.***>