Support for higher version of Pytorch/CUDA about torch-radon

[Masaaki-75]

Can relate 😇 I've try installing it for over 10x and here are some tricks that I found may be useful:

1. Use (Updated) Precompile Packages

• Build a virtual environment with python=3.7.
• Use pip instead of conda to build pytorch to avoid OSError related to libcublasLt.so.11:

pip install torch==1.7.1+cu110 torchvision==0.8.2+cu110 torchaudio===0.7.2 -f https://download.pytorch.org/whl/torch_stable.html

• Install all other packages needed for your project, but remember to select a version that supports torch==1.7 and python=3.7. For example, monai>=1.0.1 does not support torch==1.7 any more.

• Install torch-radon v2 branch if possible, using:

wget -qO- https://raw.githubusercontent.com/matteo-ronchetti/torch-radon/v2/auto_install.py  | python -

This command is provided in Issue #23, but surprisingly the authors did not update it in the README.md.

• If you installed v2, then import will be like:

from torch_radon.radon import FanBeam, ParallelBeam, RadonFanbeam, Radon
# ParallelBeam is the new version for Radon, and Fanbeam for RadonFanbeam

• Ready for other more issues. One of them can be seen in Issue #47 .

If Method 1 produces problem with version conflicts, try

2. build from source

git clone https://github.com/matteo-ronchetti/torch-radon.git
cd torch-radon
python setup.py install

This will support higher versions of cuda and pytorch (I succeeded on RTX 3090 with cuda 11.7). However, when compiling you may encounter other issues:

• Wrong naming of variables in compiling code (in torch-radon/build_tools/__init__.py):
  
• some other compiling issues like #46 :(

[roflmaostc]

Hi @matteo-ronchetti ,

installation is getting quite difficult with newer GPUs (even RTX 3060 fails early).

Do you have any plans to continue this? Would be quite sad to not have it working anymore 😢

[roflmaostc]

Wow, cool!
Yeah in my case it failed because of the RTX 3060 which was too new for those versions.