I have just installed up CUDA10.2 and PyTorch using pip. I am ubuntu 18.04 and using Python 3.6.9.
I have built a series of custom operators using these instructions: https://pytorch.org/tutorials/advanced/torch_script_custom_ops.html#building-the-custom-operator
The only difference I have made is to the CMake file is changing the line:
target_compile_features(dilate PRIVATE cxx_range_for)
target_compile_features(dilate PRIVATE cxx_std_14)
As the latest version of PyTorch uses the std library for c++14 so that I had to make this change to get it to compile.
The custom operators compile but they segfault when I try to use them in the code I am running. It segfaults with both the matching libtorch library downloaded from the PyTorch website (https://download.pytorch.org/libtorch/cu102/libtorch-shared-with-deps-1.5.0.zip) and it also segfaults when I compile using the libtorch libraries in the PyTorch package installation folder: Segmentation fault when loading custom operator
I was also having this issue when using CUDA 10.1 on this installation of ubuntu so I am not sure what the problem is. I had this working with CUDA 10.1 on an old installation of Ubuntu (with PyTorch 10.4) but unfortunately I have lost access to this install and I have not been able to recreate the environment. I also have been unable to get this to work using nvidia-docker.