Clément Pinard

does it work when compiling from source ? clone the repo and then do `python setup.py install` if so, can you try `pip install spatial-correlation-sampler -vvv` with the verbose argument...

what is your cuda version ? and your gcc version ? the error seems to be in nvcc.

can you try with python3 ? Just to know if nvcc is the problem or my code (If so, I'll try to make my code more compatible with python2)

Hello, same as above, can you state your python version, pytorch version, cuda version and GCC version ?

Unfortunately, I don't know what is wrong with your setup. Best usecase would be to test it in a docker with your your setup, but I don't have much time...

Tested with Ubuntu 16.04, cuda 9.2 and GCC 5. Do you experience similar problems for your setup?

I am not very familiar with gcc4/5 differences, but wouldn't the problem be also present in the custom CPP extension official pytorch tutorial? Did this repo work for you ?...

I recall being able to use it with 9.1 but didn't test 9.0 though

I updated the README, thanks for your work on compatibility for this module ! Hopefully, pytorch CUDAExtension module will be able to deal properly with such CUDA/gcc incompatibilities in the...

Hey, I had to build this module on a system with CUDA 9.0 and gcc-7 by default It appears the problem is CUDA related. If I link the gcc inside...