Comments (3)
thaoshibe
commented on May 25, 2024
2
Sorry for the inconvenience (⌣̩̩́_⌣̩̩̀)
I trained and tested the code on RTX 2080Ti, CUDA 10.2, Ubuntu 18.04; I haven't tried any other alternative environment.
So all help is much appreciated and very welcome!
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PeterTF656
commented on May 25, 2024
1
same here +1, seems like that 30 series GPU is not compatible with the environment...
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shiwen-cheng
commented on May 25, 2024
hello，
I'm using RTX 2080Ti, CUDA 10.2, Ubuntu 16.04, cuDNN8.3.0;
and I'm facing the samely issue: a call to cuDNN failed.
Maybe it's not right version of cuDNN?
Can I ask what version of cuDNN do you use and your NVIDIA driver version?
I think this error may be related to these.
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Related Issues (20)
- How to perform partial makeup transfer HOT 2
- how to render uv map to normal image? HOT 2
- Setup throwing error HOT 3
- the code is too bad! waste my time!!! HOT 1
- It work so bad!!!!!!!!! HOT 1
- ValueError: The passed save_path is not a valid checkpoint: ./PRNet/net-data/256_256_resfcn256_weight HOT 2
- Suggest to loosen the dependency on albumentations HOT 2
- Training on new dataset HOT 3
- I directly input the UV texture image, how should I modify the code? HOT 5
- AttributeError: module 'segmentation_models_pytorch' has no attribute 'utils' HOT 1
- About the MT dataset HOT 2
- No module named 'blend_modes
- MT dataset HOT 1
- image-invariant region mask HOT 1
- No module named 'segmentation_models_pytorch.unet'
- No module named 'blend_modes'
- The corresponding package cannot be installed in colab and locally, because of the mac device? HOT 1
- Part of the face changes？ HOT 1
- The performance of the code can not match the picture in README HOT 4
- RuntimeError: Unsupported image type, must be 8bit gray or RGB image. HOT 2
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