Unable to use ICarL for domain incremental scenario on my dataset in "paths_benchmark"

[2017csz0006]

from avalanche.models.icarl_resnet import * from avalanche.training.supervised import ICaRL

my_model=IcarlNet(num_classes=2) my_feature_extractor=my_model.feature_extractor my_classifier=my_model.classifier

optimizer=Adam(my_model.parameters(), lr=piku_lr) criterion = BCEWithLogitsLoss() device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

cl_strategy = ICaRL( feature_extractor=my_feature_extractor, classifier=my_classifier, optimizer=optimizer, memory_size=200, buffer_transform=None, fixed_memory=True, train_mb_size=64, train_epochs=30, eval_mb_size=64, evaluator=eval_plugin, device=device )

I am getting error as below:

File ~/anaconda3/envs/my_pytorch/lib/python3.10/site-packages/avalanche/training/supervised/icarl.py:159 in before_training_exp nb_cl = benchmark.n_classes_per_exp[tid]

AttributeError: 'ClassificationScenario' object has no attribute 'n_classes_per_exp'