Comments (2)
sanghyun-son
commented on July 29, 2024
Hello.
Multi-GPU evaluation problem is not related to the memory release you mentioned.
It just happens because the test batch-size is always 1, and only a single GPU takes the batch.
However, our forward_chop function is implemented to utilize multiple GPUs.
Since --chop_forward argument is renamed to --chop, you can use multiple GPUs in evaluation stage with --n_GPUs 4 --chop arguments.
Thank you!
from edsr-pytorch.
lewisyangliu
commented on July 29, 2024
It works now, thanks!
from edsr-pytorch.
Related Issues (20)
- About eval
- About test HOT 3
- train和test中的指标不同
- PSNR is nan when test DIV2K data HOT 2
- Why does EDSR enlarge the image twice and only low pixel images work well? HOT 3
- Mean Shift Function for Gray Image dataset
- TypeError:list indices must be integers or slices, not tuple
- transfer learning / finetune HOT 1
- Why not use torchvision.transforms HOT 1
- where's baseline models? HOT 1
- PSNR and SSIM
- It is not working Correctly!
- ValueError: num_samples should be a positive integer value, but got num_samples=0 HOT 4
- ValueError: x and y must have same first dimension, but have shapes (0,) and (1,)
- Denoising model in "Residual Dense Network for Image Restoration"
- Not changing the speed by changing the amount of data
- 环境配置 HOT 4
- AttributeError: module 'torch.backends' has no attribute 'mps' HOT 1
- 训练数据集
- 怎么使用自定义的数据集训练？ HOT 10
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