Yanqing0327/DREAM

CUDA out of memory

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Wrong: torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 128.00 MiB (GPU 0; 23.69 GiB total capacity; 22.50 GiB already allocated; 115.88 MiB free; 22.53 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.

"Is the GPU memory of this size still insufficient to support the training of CIFAR-10?"

Hello, I think the problem lies in the fact that there is no need to calculate the gradient when extracting features through clustering. Maybe you can modify this to improve it. I will also update the code within the next week.