Issues with gcc when installing apex with CUDA support

System config:

• OS: Fedora 30
• CUDA version: 10.2
• GPU: nVidia GTX1050(M)

Command:

python3 setup.py install --cuda_ext --cpp_ext --user

GCC compiler version > 7 is not supported, so I use gcc63 by creating symlinks as gcc63->gcc and g++63-> gcc. Result:

torch.__version__  =  1.2.0.dev20190622

Compiling cuda extensions with
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Sat_Aug_25_21:08:01_CDT_2018
Cuda compilation tools, release 10.0, V10.0.130
from /usr/bin

running install
running bdist_egg
running egg_info
writing apex.egg-info/PKG-INFO
writing dependency_links to apex.egg-info/dependency_links.txt
writing top-level names to apex.egg-info/top_level.txt
reading manifest file 'apex.egg-info/SOURCES.txt'
writing manifest file 'apex.egg-info/SOURCES.txt'
installing library code to build/bdist.linux-x86_64/egg
running install_lib
running build_py
running build_ext
/home/fuzzybatman/.local/lib/python3.7/site-packages/torch/utils/cpp_extension.py:167: UserWarning: 

                               !! WARNING !!

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Your compiler (g++) is not compatible with the compiler Pytorch was
built with for this platform, which is g++ on linux. Please
use g++ to to compile your extension. Alternatively, you may
compile PyTorch from source using g++, and then you can also use
g++ to compile your extension.

See https://github.com/pytorch/pytorch/blob/master/CONTRIBUTING.md for help
with compiling PyTorch from source.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

                              !! WARNING !!

  platform=sys.platform))
building 'amp_C' extension
gcc -pthread -Wno-unused-result -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -O2 -g -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fexceptions -fstack-protector-strong -grecord-gcc-switches -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -fPIC -I/home/fuzzybatman/.local/lib/python3.7/site-packages/torch/include -I/home/fuzzybatman/.local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/home/fuzzybatman/.local/lib/python3.7/site-packages/torch/include/TH -I/home/fuzzybatman/.local/lib/python3.7/site-packages/torch/include/THC -I/usr/include/python3.7m -c csrc/amp_C_frontend.cpp -o build/temp.linux-x86_64-3.7/csrc/amp_C_frontend.o -O3 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++11
gcc: error: unrecognized command line option ‘-fstack-clash-protection’; did you mean ‘-fstack-protector’?
gcc: error: unrecognized command line option ‘-fcf-protection’; did you mean ‘-fstack-protector’?
error: command 'gcc' failed with exit status 1

How can I remove -fstack-clash-protection and -fcf-protection

Begin with setup.py and the PyTorch C++ extension build invoked by python3 setup.py install --cuda_ext --cpp_ext --user. Reproduce the reported compiler invocation and inspect where -fstack-clash-protection and -fcf-protection enter it. Done means the Apex CUDA installation completes with the reported compiler setup, without those unsupported options.