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GMvandeVen / class-incremental-learning

PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).

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About the task split when training the proposed method

APushingBoy opened this issue · comments

commented

In the paper, you mentiond that MNIST and CIFAR10 are both split into 5 tasks, but I can't find the argument for the number of tasks (i.e., something like add_argument("--tasks", type=int....)) in the file options_gen_classifier.py,
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but I did find an argument called --tasks in the file options.py .
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Could you please tell me the reason~? Thank you.