Comments (2)
Thank you very much :)
Actually you can run but there are many parts in the code that assume GPU is available. You can find an replace .cuda() in the code to .cpu() everywhere. It should work, if it doesnโt please let us know.
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Great! I will modify it as suggested.
Bests
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Related Issues (19)
- a few question about the implementation HOT 8
- Nan Loss during training MNIST dataset HOT 2
- Why BCE is used instead of CE with Softmax? HOT 1
- Something strange in the Algorithm 1.. HOT 4
- Something strange about the update of theta and psi in the inner loop HOT 6
- What is the difference between two output of model? -->outputs2, outputs = model(inputs) HOT 1
- Training script for ImageNet-100 HOT 2
- Code for other methods
- Obviously catastrophic forgetting HOT 3
- AttributeError: type object 'args' has no attribute 'overflow' HOT 2
- A question about theta and task-specific phi HOT 1
- something wrong happends in training cifar10 HOT 3
- Where to check task accuracy and class accuracy? HOT 2
- Fair comparison HOT 2
- sys.argv[1] is out of range HOT 2
- train_mnist loss go to nan at Sess 3
- about adding parameters HOT 5
- about adding classes HOT 2
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