Arch Linux

Update to fix this is pushed. From some preliminary testing, it seems to work ok. We might have to downgrade the CUDA gcc to gcc8 if there are some unforeseen issues. I'll try compiling tensorflow, pytorch and blender against that to give us some coverage.

I believe including gcc8 in [community] is better since gcc9 is not officially supported by CUDA yet.

We've often made CUDA use more recent stuff than what is officially supported. If it works, it works. So far my compiles look promising. Sadly tensorflow is a 10h compile.

Thank you for this fix, just built waifu2x-converter-cpp with CUDA support using the updated package and output is fine.

I'm getting this error with nvcc from cuda-10.1.168-3 using gcc-9.1.0-1 (works fine with gcc < 9):

/usr/include/c++/9.1.0/bits/stl_function.h(437): error #20: identifier "__builtin_is_constant_evaluated" is undefined

Edit: You can reproduce the error immediately if you try to compile the CUDA samples. This could be done even in the check() function in the PKGBUILD as a basic sanity check of the compiler.

Funnily enough, I actually did compile some samples and it was fine! Which sample is this?

There were a lot of them when I tried a parallel build, but the first one seems to be 0_simple/cudaTensorCoreGemm:

$ cd /tmp
$ cp -r /opt/cuda/samples/ .
$ cd samples/
$ make -j1
make[1]: Entering directory '/tmp/samples/0_Simple/simpleCooperativeGroups'
/opt/cuda/bin/nvcc -ccbin g++ -I../../common/inc -m64 -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_75,code=compute_75 -o simpleCooperativeGroups.o -c simpleCooperativeGroups.cu
/opt/cuda/bin/nvcc -ccbin g++ -m64 -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_75,code=compute_75 -o simpleCooperativeGroups simpleCooperativeGroups.o
mkdir -p ../../bin/x86_64/linux/release
cp simpleCooperativeGroups ../../bin/x86_64/linux/release
make[1]: Leaving directory '/tmp/samples/0_Simple/simpleCooperativeGroups'
make[1]: Entering directory '/tmp/samples/0_Simple/cudaTensorCoreGemm'
/opt/cuda/bin/nvcc -ccbin g++ -I../../common/inc -m64 -maxrregcount=255 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_75,code=compute_75 -o cudaTensorCoreGemm.o -c cudaTensorCoreGemm.cu
/usr/include/c++/9.1.0/bits/stl_function.h(437): error: identifier "__builtin_is_constant_evaluated" is undefined

1 error detected in the compilation of "/tmp/tmpxft_000015ce_00000000-7_cudaTensorCoreGemm.compute_75.cpp1.ii".
make[1]: *** [Makefile:302: cudaTensorCoreGemm.o] Error 1
make[1]: Leaving directory '/tmp/samples/0_Simple/cudaTensorCoreGemm'
make: *** [Makefile:51: 0_Simple/cudaTensorCoreGemm/Makefile.ph_build] Error 2

cuda needs gcc8, try compile Gromacs for example: https://github.com/gromacs/gromacs

mkdir gromacs; cd gromacs;
git clone https://github.com/gromacs/gromacs src; mkdir build;
cd build;
cmake ../src;
make -j8;

error:
/usr/include/c++/9.2.0/bits/stl_function.h(437): error: identifier "__builtin_is_constant_evaluated" is undefined

cuda as it is in Arch right now IS using gcc8. In some cases, you'll have to explicitly tell your build system to actually use gcc8 as the host compiler. However, we correctly symlink gcc8 to be the default compiler in the cuda package.

What would you have me change?

@phcerdan: I was able to build Gromacs just fine with cuda-10.2.89-2...