Comments (4)
wowwowya
commented on July 24, 2024
it shows torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 256.00 MiB (GPU 0; 8.00 GiB total capacity; 933.87 MiB already allocated; 4.95 GiB free; 948.00 MiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
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c-yn
commented on July 24, 2024
Hi, training ITS needs about 17G memory.
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wowwowya
commented on July 24, 2024
How many epochs are needed in total for training on ITS?thankyou
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c-yn
commented on July 24, 2024
Hi, the hyper-parameters we used are shown in the main.py.
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Related Issues (11)
- when the code will be released HOT 1
- Can you provide model weights or a graph of test results stored in png format? HOT 2
- deblurring
- when will the code be released？ HOT 4
- NH-Haze dataset HOT 3
- How to draw the feature maps in Figure 2 HOT 2
- about FSM HOT 3
- About FLOPs HOT 4
- Density 和Variance Difference 图的制作
- Could you relrease the code and pretrained weight for defocus deblurring? HOT 1
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