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I can't remember how much memory the machine I used to work on had but I'm sure it shouldn't take that much memory to train f-Anogan. This must be some kind of bug. Did it happen during training on MRI's? Because for brats and atlas, the code loads the whole dataset to ram before training.
I can't remember how much memory the machine I used to work on had but I'm sure it shouldn't take that much memory to train f-Anogan. This must be some kind of bug. Did it happen during training on MRI's? Because for brats and atlas, the code loads the whole dataset to ram before training.
I can run it on my own device, but when I run it on the server, the memory footprint is very large
How much memory are you using? I had a problem running f-Anogan with 60GB of memory on the server
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