CUDA incompatible with my gcc version

Question

I have troubles compiling some of the examples shipped with CUDA SDK  I have installed the developers driver  version 270 41 19  and the CUDA toolkit  then finally the SDK  both the 4 0 17 version    Initially it didn t compile at all giving   error -- unsupported GNU version  gcc 4 5 and up are not supported    I found the line responsible in 81  usr local cuda include host config h  and changed it to      if   GNUC    gt  4       GNUC      4  amp  amp    GNUC MINOR    gt  4   if   GNUC    gt  4       GNUC      4  amp  amp    GNUC MINOR    gt  6    from that point on I got only a few of the examples to compile  it stops with   In file included from  usr include c   4 6 x86 64-linux-gnu bits gthr h 162 0               from  usr include c   4 6 ext atomicity h 34               from  usr include c   4 6 bits ios base h 41               from  usr include c   4 6 ios 43               from  usr include c   4 6 ostream 40               from  usr include c   4 6 iterator 64               from  usr local cuda include thrust iterator iterator categories h 38               from  usr local cuda include thrust device ptr h 26               from  usr local cuda include thrust device malloc allocator h 27               from  usr local cuda include thrust device vector h 26               from lineOfSight cu 37   usr include c   4 6 x86 64-linux-gnu bits gthr-default h 251 1  error  pasting            gthrw   and     Android s C library does not provide pthread cancel  check for  pthread create  instead       does not give a valid preprocessing token make 1        obj x86 64 release lineOfSight cu o  Error 1   As some of the examples compile I reckon this is not a driver problem  but rather must have something to do with an unsupported gcc version  Downgrading is not an option as gcc4 6 has a whole system as a dependency at this point

User · Answer

If using cmake for me none of the hacks of editing the files and linking worked so I compiled using the flags which specify the gcc g   version  cmake -DCMAKE C COMPILER gcc-6 -DCMAKE CXX COMPILER g  -6      Worked like charm

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This is happening because your current CUDA version doesn t support your current GCC version  You need to do the following    Find the supported GCC version  in my case 5 for CUDA 9    CUDA 4 1  GCC 4 5 CUDA 5 0  GCC 4 6 CUDA 6 0  GCC 4 7 CUDA 7 0  GCC 4 8 CUDA 7 5  GCC 4 8 CUDA 8  GCC 5 3 CUDA 9  GCC 5 5 CUDA 9 2  GCC 7 CUDA 10 1  GCC 8  Install the supported GCC version  sudo apt-get install gcc-5 sudo apt-get install g  -5  Change the softlinks for GCC in the  usr bin directory  cd  usr bin sudo rm gcc sudo rm g   sudo ln -s  usr bin gcc-5 gcc sudo ln -s  usr bin g  -5 g    Change the softlinks for GCC in the  usr local cuda-9 0 bin directory  cd  usr local cuda-9 0 bin sudo rm gcc sudo rm g   sudo ln -s  usr bin gcc-5 gcc sudo ln -s  usr bin g  -5 g    Add -DCUDA HOST COMPILER  usr bin gcc-5 to your setup py file  used for compilation  if torch cuda is available   and CUDA HOME is not None      extension   CUDAExtension     sources    source cuda     define macros       WITH CUDA   None       extra compile args  nvcc                -DCUDA HAS FP16 1            -D  CUDA NO HALF OPERATORS              -D  CUDA NO HALF CONVERSIONS              -D  CUDA NO HALF2 OPERATORS              -DCUDA HOST COMPILER  usr bin gcc-5         Remove the old build directory  rm -rd build   Compile again by setting CUDAHOSTCXX  usr bin gcc-5  CUDAHOSTCXX  usr bin gcc-5 python setup py build develop    Note  If you still get the gcc  error trying to exec  cc1plus   execvp  no such file or directory error after following these steps  try reinstalling the GCC like this and then compiling again   sudo apt-get install --reinstall gcc-5 sudo apt-get install --reinstall g  -5   Credits  https   github com facebookresearch maskrcnn-benchmark issues 25 issuecomment-433382510

User · Answer

CUDA is after some header modifications compatible with gcc4 7 and maybe higher version  https   www udacity com wiki cs344 troubleshoot gcc47

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In my case  I had CUDA already installed from the Ubuntu version and cmake would detect that one instead of the newly installed version using the NVidia SDK Manager   I ran dpkg -l   grep cuda and could see both versions   What I had to do is uninstall the old CUDA  version 9 1 in my case  and leave the new version alone  version 10 2   I used the purge command like so   sudo apt-get purge libcudart9 1 nvidia-cuda-dev nvidia-cuda-doc                                   nvidia-cuda-gdb nvidia-cuda-toolkit   Please verify that the package names match the version you want to remove from your installation   I had to rerun cmake from a blank BUILD directory to redirect all the  include and libraries to the SDK version  since the old paths were baked in the existing build environment

User · Answer

This works for fedora 23  The compat gcc repositories will be slightly different based on your version of fedora   If you install the following repositories   sudo yum install compat-gcc-34-c  -3 4 6-37 fc23 x86 64 compat-gcc-34-3 4 6-37 fc23 x86 64    Now make the soft links as mentioned above assuming your cuda bin folder is in  usr local cuda   sudo ln -s  usr bin gcc-34  usr local cuda bin gcc sudo ln -s  usr bin g  -34  usr local cuda bin g     You should now be able to compile with nvcc without the gcc version error

User · Answer

This solved my problem   sudo rm  usr local cuda bin gcc sudo rm  usr local cuda bin g   sudo apt install gcc-4 4 g  -4 4 sudo ln -s  usr bin gcc-4 4  usr local cuda bin gcc sudo ln -s  usr bin g  -4 4  usr local cuda bin g

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Check the maximum supported GCC version for your CUDA version      CUDA version max supported GCC version     11 1 10 0   11 9   10 1  10 2 8   9 2  10 0 7   9 0  9 1 6   8 5 3   7 4 9   5 5  6 4 8   4 2  5 4 6   4 1 4 5   4 0 4 4     Set an env var for that GCC version  For example  for CUDA 10 2  MAX GCC VERSION 8   Make sure you have that version installed  sudo apt install gcc- MAX GCC VERSION g  - MAX GCC VERSION   Add symlinks within CUDA folders  sudo ln -s  usr bin gcc- MAX GCC VERSION  usr local cuda bin gcc  sudo ln -s  usr bin g  - MAX GCC VERSION  usr local cuda bin g     or substitute  usr local cuda with your CUDA installation path  if it s not there    See this GitHub gist for more information on the CUDA-GCC compatibility table

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gcc 4 5 and 4 6 are not supported with CUDA - code won t compile and the rest of the toolchain  including cuda-gdb  won t work properly  You cannot use them  and the restriction is non-negotiable  Your only solution is to install a gcc 4 4 version as a second compiler  most distributions will allow that   There is an option to nvcc --compiler-bindir which can be used to point to an alternative compiler  Create a local directory and then make symbolic links to the supported gcc version executables  Pass that local directory to nvcc via the --compiler-bindir option  and you should be able to compile CUDA code without affecting the rest of your system   EDIT  Note that this question  and answer  pertain to CUDA 4  Since it was written  NVIDIA has continued to expand support for later gcc versions in newer CUDA toolchain release  As of the CUDA 4 1 release  gcc 4 5 is now supported  gcc 4 6 and 4 7 are unsupported  As of the CUDA 5 0 release  gcc 4 6 is now supported  gcc 4 7 is unsupported  As of the CUDA 6 0 release  gcc 4 7 is now supported  As of the CUDA 7 0 release  gcc 4 8 is fully supported  with 4 9 support on Ubuntu 14 04 and Fedora 21  As of the CUDA 7 5 release  gcc 4 8 is fully supported  with 4 9 support on Ubuntu 14 04 and Fedora 21  As of the CUDA 8 release  gcc 5 3 is fully supported on Ubuntu 16 06 and Fedora 23  As of the CUDA 9 release  gcc 6 is fully supported on Ubuntu 16 04  Ubuntu 17 04 and Fedora 25  The CUDA 9 2 release adds support for gcc 7 The CUDA 10 1 release adds support for gcc 8 The CUDA 10 2 release continues support for gcc 8 The CUDA 11 0 release adds support for gcc 9 on Ubuntu 20 04 The CUDA 11 1 release expands gcc 9 support across most distributions and adds support for gcc 10 on Fedora linux  There is presently  as of CUDA 11 1  no gcc 10 support in CUDA other than Fedora linux Note that NVIDIA has recently added a very useful table here which contains the supported compiler and OS matrix for the current CUDA release

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Check out how to use  update-alternatives  to get around this issue          If you install gcc 4 6 you can also use the update-alternatives   command to allow for easily switching between versions  This can be   configured with   sudo update-alternatives --install  usr bin gcc gcc  usr bin gcc-4 6 60 --slave  usr bin g   g    usr bin g  -4 6  sudo update-alternatives --install  usr bin gcc gcc  usr bin gcc-4 7 40 --slave  usr bin g   g    usr bin g  -4 7  sudo update-alternatives --config gcc

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As already pointed out  nvcc depends on gcc 4 4  It is possible to configure nvcc to use the correct version of gcc without passing any compiler parameters by adding softlinks to the bin directory created with the nvcc install   The default cuda binary directory  the installation default  is  usr local cuda bin  adding a softlink to the correct version of gcc from this directory is sufficient    sudo ln -s  usr bin gcc-4 4  usr local cuda bin gcc

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In  CUDA HOME include host config h  find lines like these  may slightly vary between different CUDA version           if   GNUC    gt  4       GNUC      4  amp  amp    GNUC MINOR    gt  9    error -- unsupported GNU version  gcc versions later than 4 9 are not supported    endif   gt    GNUC    gt  4       GNUC      4  amp  amp    GNUC MINOR    gt  9   lt           Remove or change them matching your condition   Note this method is potentially unsafe and may break your build  For example  gcc 5 uses C  11 as default  however this is not the case for nvcc as of CUDA 7 5  A workaround is to add  --Xcompiler  --std c  98  for CUDA lt  6 5   or  --std c  11 for CUDA  7 0

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On most distributions you have the possibility to install another gcc and g   version beside a most recent compiler like gcc-4 7  In addition most build systems are aware of the CC and CXX environment variables  which let specify you other C and C   compilers respectively  SO I suggest something like   CC gcc-4 4 CXX g  -4 4 cmake path to your CMakeLists txt   For Makefiles there should be a similar way  I do not recommend setting custom symlinks within  usr local unless you know what you are doing

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For CUDA7 5 these lines work   sudo ln -s  usr bin gcc-4 9  usr local cuda bin gcc  sudo ln -s  usr bin g  -4 9  usr local cuda bin g

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Gearoid Murphy s solution works better for me since on my distro  Ubuntu 11 10   gcc-4 4 and gcc-4 6 are in the same directory  so --compiler-bindir is no help  The only caveat is I also had to install g  -4 4 and symlink it as well   sudo ln -s  usr bin gcc-4 4  usr local cuda bin gcc sudo ln -s  usr bin g  -4 4  usr local cuda bin g

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For CUDA 6 5  and apparently 7 0 and 7 5   I ve created a version of the gcc 4 8 5 RPM package  under Fedora Core 30  that allows that version of gcc to be install alongside your system s current GCC   You can find all of that information here

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To compile the CUDA 8 0 examples on Ubuntu 16 10  I did   sudo apt-get install gcc-5 g  -5 cd  path to NVIDIA CUDA-8 0 Samples   Find the path to the library  this should be in NVIDIA s Makefiles  LIBLOC  find  usr lib -name  libnvcuvid so      head -n1   perl -pe  s  usr lib  nvidia- d        1      Substitute that path into the makefiles for the hard-coded  incorrect one find   -name    mk    xargs perl -pi -e  s nvidia- d   LIBLOC g    Make using the supported compiler HOST COMPILER g  -5 make   This has the advantage of not modifying the whole system or making symlinks to just the binaries  that could cause library linking problems

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For people like me who get confused while using cmake  the FindCUDA cmake script overrides some of the stuff from nvcc profile  You can specify the nvcc host compiler by setting CUDA HOST COMPILER as per http   public kitware com Bug view php id 13674

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Gearoid Murphy s solution works like a charm  For me I had two directories for cuda -    usr local cuda   usr local cuda-5 0   The soft links had to be added only to the directory mentioned below -    usr local cuda    Also  both g   and gcc soft links were required as mentioned by SchighSchagh

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I had to install the older versions of gcc  g         sudo apt-get install gcc-4 4     sudo apt-get install g  -4 4   Check that gcc-4 4 is in  usr bin   and same for g   Then I could use the solution above        sudo ln -s  usr bin gcc-4 4  opt cuda bin gcc     sudo ln -s  usr bin g  -4 4  opt cuda bin g

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If you encounter this error  please read the log file     cat  var log cuda-installer log   INFO   Driver installation detected by command  apt list --installed   grep -e nvidia-driver- 0-9  0-9  0-9  -e nvidia- 0-9  0-9  0-9   INFO   Cleaning up window  INFO   Complete  INFO   Checking compiler version     INFO   gcc location   usr bin gcc   INFO   gcc version  gcc version 9 2 1 20191008  Ubuntu 9 2 1-9ubuntu2     ERROR   unsupported compiler version  9 2 1  Use --override to override this check    Just follow the suggestion in the log file   sudo sh cuda  lt version gt  linux run --override   Job done     I just installed CUDA 10 2 with gcc 9 2 on Kubuntu 19 10 using the --override option

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Another way of configuring nvcc to use a specific version of gcc  gcc-4 4  for instance   is to edit nvcc profile and alter PATH to include the path to the gcc you want to use first   For example  gcc-4 4 6 installed in  opt    PATH     opt gcc-4 4 6 lib gcc x86 64-unknown-linux-gnu 4 4 6  opt gcc-4 4 6 bin   TOP  open64 bin   TOP  share cuda nvvm    HERE      The location of nvcc profile varies  but it should be in the same directory as the nvcc executable itself   This is a bit of a hack  as nvcc profile is not intended for user configuration as per the nvcc manual  but it was the solution which worked best for me

[gcc] CUDA incompatible with my gcc version

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