HuiZeng / Image-Adaptive-3DLUT

Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time

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环境问题

z1076820548 opened this issue · comments

作者你好!我想问一下你运行项目所使用的cuda版本,使用 python3 image_adaptive_lut_evaluation.py后,总是出现问题,我想可能是环境导致的,,望回复,感谢!问题如下:
/root/anaconda3/envs/pytorch041_2/lib/python3.6/site-packages/torch/nn/modules/upsampling.py:122: UserWarning: nn.Upsampling is deprecated. Use nn.functional.interpolate instead.
warnings.warn("nn.Upsampling is deprecated. Use nn.functional.interpolate instead.")
/root/anaconda3/envs/pytorch041_2/lib/python3.6/site-packages/torch/nn/functional.py:1961: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
"See the documentation of nn.Upsample for details.".format(mode))
THCudaCheck FAIL file=/pytorch/aten/src/THC/THCGeneral.cpp line=663 error=11 : invalid argument

解决了吗?我也有这样问题