Comments (6)
We plan to release the imbalanced algorithms in end of Nov, or beginning of Dec. We still have some code tweak to accommodate the imbalanced algorithms and have to run the experiments to get evaluation of these algorithms too.
from semi-supervised-learning.
ok, thanks,
from semi-supervised-learning.
Hi, thank you for your great job! I also want to know whether imbalanced algorithms be released soon?
from semi-supervised-learning.
Hi, thank you for your great job! I also want to know whether imbalanced algorithms be released soon?
Expected this week along with results and logs.
from semi-supervised-learning.
Updated in 69a2afc
from semi-supervised-learning.
Traceback (most recent call last):
File "train.py", line 416, in
main(args)
File "train.py", line 320, in main
main_worker(args.gpu, ngpus_per_node, args)
File "train.py", line 399, in main_worker
model.train()
File "/data/gauss/wlw/Semi-supervised-learning-main/semilearn/core/algorithmbase.py", line 349, in train
self.call_hook("before_train_epoch")
File "/data/gauss/wlw/Semi-supervised-learning-main/semilearn/core/algorithmbase.py", line 560, in call_hook
getattr(hook, fn_name)(self, *args, **kwargs)
File "/data/gauss/wlw/Semi-supervised-learning-main/semilearn/imb_algorithms/cossl/cossl.py", line 85, in before_train_epoch
init_teacher, init_ema_teacher = classifier_warmup(algorithm.args, copy.deepcopy(algorithm.ema_model),
File "/data/gauss/wlw/Semi-supervised-learning-main/semilearn/imb_algorithms/cossl/utils.py", line 82, in classifier_warmup
tfe_model = weight_imprint(args, copy.deepcopy(model), train_labeled_set, num_class, gpu)
File "/data/gauss/wlw/Semi-supervised-learning-main/semilearn/imb_algorithms/cossl/utils.py", line 268, in weight_imprint
new_weight = torch.zeros(num_classes, model.module.backbone.num_features)
File "/data/.conda/envs/usb/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1695, in getattr
raise AttributeError(f"'{type(self).name}' object has no attribute '{name}'")
AttributeError: 'CoSSL_Net' object has no attribute 'module'
当我训练到中间的时候出现了这个错误,这是怎么回事呢?已经迭代了81920次了,
我是在freematch的算法,加入了cossl,配置文件如图所示:
from semi-supervised-learning.
Related Issues (20)
- Question about the acceleration of training HOT 2
- Support torch.compile HOT 2
- Can not reproduce the results of freeMatch HOT 9
- Training problem HOT 4
- Time series analysis HOT 5
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- Question about the Augmentation on Two-Moon dataset used in FreeMatch and SoftMatch HOT 3
- Bug when running the instance code HOT 2
- how to use timm.model as net HOT 2
- Customize datasets tutorial cant work HOT 2
- I can't load model correctly HOT 1
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- 为什么我在自己的数据集上面,100-600-1200不同的有标签数量训练之后,在测试集的效果是一样的差。 HOT 2
- SAT.ass HOT 1
- About config, how to decide the hyperparameters? HOT 3
- There seems to be something strange when the data is loading HOT 6
- Issues related to voice datasets HOT 1
- R..net..\..m..;M// HOT 1
- How to decide the number of labels in experiments HOT 1
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from semi-supervised-learning.