Comments (3)
Hi, I have no idea on this problem :(
from image-adaptive-3dlut.
Hello, your work is very good. How to solve this problem? Do you need to add this function trilinear_func.py? Can you update this function to your code in the github?
Hello, this may come from mismatch of your pytorch and CUDA version. To be short, please check your pytorch and CUDA version and compile the code again.
If you'd like to use the ffi for compilation, please make sure your PyTorch (pre-compiled, e.g. installed via pip or conda) version is lower than 1.0, e.g. 0.4.0 or 0.4.1. Meanwhile, you are using CUDA 9.0 or some other compatible version on your machine, instead of CUDA 10.1 or 10.2.
For NV 20/30 series card users, it would be appreciated if you could shift to PyTorch 1.0 or later and compile the cpp code, instead of c code.
Many thanks!
from image-adaptive-3dlut.
cuda 9.1 is ok? @lld533
from image-adaptive-3dlut.
Related Issues (20)
- 有能将3dlut可视化的脚本不 HOT 1
- about windows setup trilinear_cpp error
- Why does input image in XYZ while expertC image in RGB
- Specifications of the shared Pretrained Models
- For tone-mapping task, why did you use the expertC as the GT?
- Eval images corrupt when training using unpaired dataset HOT 1
- 你好!当我将3DLUT模型的pth模型转换到onnx模型的时候,出现trilinearInterpolationFunction报错,该怎么解决呢?
- python3 image_adaptive_lut_train_paired.py
- Segmentation fault while training HOT 6
- how to solve 3dlut banding HOT 1
- Fatal Error (Is it a LUT?) HOT 3
- 3DLUT 参数量计算 HOT 2
- LUT 学习方式 HOT 1
- CPU和GPU的运行结果不一致
- AttributeError: module 'trilinear' has no attribute 'forward' HOT 3
- 关于LUT的问题 HOT 1
- About TV_3D loss
- 關於kernel size
- 为什么 classifier 采用复杂网络,性能狂掉?
- 直接跑预训练模型 视频调色比较稳定,但是自己训练的模型无法复现预训练效果?
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