TiledTensor / TiledCUDA

When I look into the current way to set the path of Cuda compiler as listed below:

Lines 3 to 5 in cf22ba1

    
           set(CMAKE_CUDA_ARCHITECTURES 70 75 80 86) 
        
           set(CMAKE_CUDA_COMPILER /usr/local/cuda/bin/nvcc) 
        
           set(CUDACXX /usr/local/cuda/bin/nvcc)

I think this is a hotfix to bypass the below compiling issue as solution listed in this issue NVlabs/instant-ngp#747

 ptxas fatal : Value 'sm_30' is not defined for option 'gpu-name'

In my environment, I have a local CUDA installation, which is quite common, instead of the globally installed CUDA. This hard-coded approach initially sets the nvcc compiler to the globally installed CUDA Toolkit, but then find_package(CUDA) overwrites the CUDA compiler based on the environment variable. This approach seems a little awkward.

@KuangjuX Is it necessary to fix this compiling issue by running sudo apt remove nvidia-cuda-toolkit (which I have already done on the testing machine) and keep the CMakeFiles clean?

I agree, it seems that ad-hoc solutions specific to the local machine should not be present in the project. Alternatively, another solution is to set CMAKE_CUDA_COMPILER and CUDACXX as environment variables instead of hardcoding them.

Sure. I can fix it in the next PR.

	set(CMAKE_CUDA_ARCHITECTURES 70 75 80 86)
	set(CMAKE_CUDA_COMPILER /usr/local/cuda/bin/nvcc)
	set(CUDACXX /usr/local/cuda/bin/nvcc)

Is it possible to remove the hard-coded path of cuda compiler in cmake?