Can't install CUDA and C++ version

Hi,

I followed the quick-start instructions in the README, and I am able to install the python-only version just fine. However, when I try to install the CUDA and C++ version (after uninstalling the python-only version) using

pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./

I eventually get the following error, and nothing is installed:

Traceback (most recent call last):
File "/data/rsg/chemistry/yangk/conda/envs/cuda10/lib/python3.6/site-packages/pip/_internal/cli/base_command.py", line 178, in main
status = self.run(options, args)
File "/data/rsg/chemistry/yangk/conda/envs/cuda10/lib/python3.6/site-packages/pip/_internal/commands/install.py", line 414, in run
use_user_site=options.use_user_site,
File "/data/rsg/chemistry/yangk/conda/envs/cuda10/lib/python3.6/site-packages/pip/_internal/req/init.py", line 58, in install_given_reqs
**kwargs
File "/data/rsg/chemistry/yangk/conda/envs/cuda10/lib/python3.6/site-packages/pip/_internal/req/req_install.py", line 953, in install
spinner=spinner,
File "/data/rsg/chemistry/yangk/conda/envs/cuda10/lib/python3.6/site-packages/pip/_internal/utils/misc.py", line 776, in call_subprocess
% (command_desc, proc.returncode, cwd))
pip._internal.exceptions.InstallationError: Command "/data/rsg/chemistry/yangk/conda/envs/cuda10/bin/python -u -c 'import setuptools, tokenize;file='"'"'/tmp/pip-req-build-fpm1mkcy/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(file);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' --cpp_ext --cuda_ext install --record /tmp/pip-record-bio8bemk/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /tmp/pip-req-build-fpm1mkcy/

I'm on Linux using a conda environment running python 3.6.8, pytorch 1.1.0, and CUDA 10.0.130. Is there some other issue with my environment?

Thanks!

Start with the README quick-start instructions and reproduce the pip install command with --cpp_ext and --cuda_ext in the stated Python 3.6, PyTorch 1.1.0, and CUDA 10.0 environment. Inspect setup.py and capture the earlier build output preceding pip's final InstallationError; done means the C++ and CUDA installation completes successfully.