I saw that problem on Git and left a comment that it seemed very similar. I cannot say if it is the same but probably it is a good lead. I also downloaded the version using CUDA 10.2 and that works fine. The nighly build have the same problem for CUDA 11.1 but works just fine for CUDA 10.2. So the same pattern there. The problem is very consistent that no CUDA functions work while all CPU functions do. (Except that some FFTs seem to be broken in release mode but not Debug mode - I will leave a report on that after doing some investigation.)
I have previously tested the nighly build for 1.8 (downloaded in december with CUDA 11.0) and that worked fine (except the FFTs).
Im using a Win10 PC. With a GTX 1650 Ti card 4GB. I have tested 2 different configurations:
CUDA 11.1 - Not working
CUDA SDK 11.1 - Downloaded CUDA Toolkit 11.1 Update 1 Downloads | NVIDIA Developer 2
CUDNN - Download cuDNN v8.1.0 (January 26th, 2021), for CUDA 11.0,11.1 and 11.2 1
LibTorch release: https://download.pytorch.org/libtorch/cu111/libtorch-win-shared-with-deps-1.8.0%2Bcu111.zip 3
Libtorch Debug: https://download.pytorch.org/libtorch/cu111/libtorch-win-shared-with-deps-debug-1.8.0%2Bcu111.zip 1
CUDA 10.2 - working
CUDA SDK 10.2: CUDA Toolkit 10.2 Download | NVIDIA Developer 3
CUDNN: Download cuDNN v8.0.5 (November 9th, 2020), for CUDA 10.2 4
LibTorch release: https://download.pytorch.org/libtorch/cu102/libtorch-win-shared-with-deps-1.8.0.zip 10
Libtorch debug: https://download.pytorch.org/libtorch/cu102/libtorch-win-shared-with-deps-debug-1.8.0.zip 9