unsupported GNU version! gcc versions later than 5 are not supported!
See original GitHub issue📚 Installation
Environment
- OS: Linux 18.04
- Python version: 3.6
- PyTorch version: 1.0.1
- CUDA/cuDNN version: 10.0.130 / 7.3.1
- GCC version: 7.3.0
- How you tried to install PyTorch Geometric and its extensions (pip, source): pip
- Any other relevant information:
Checklist
- I followed the installation guide.
- I cannot find my error message in the FAQ.
- I set up CUDA correctly and can compile CUDA code via
nvcc
. - I have cloned the repository and tried a manual installation from source.
- I do have multiple CUDA versions on my machine.
- I checked if the official extension example runs on my machine.
- The offical extension example runs on my machine.
Additional context
Issue Analytics
- State:
- Created 4 years ago
- Comments:7 (4 by maintainers)
Top Results From Across the Web
CUDA incompatible with my gcc version - Stack Overflow
Your only solution is to install a gcc 4.4 version as a second compiler (most distributions will allow that). There is an option...
Read more >gcc versions later than 5 are not supported while compiling ...
This solved my problem: sudo rm /usr/local/cuda/bin/gcc sudo rm /usr/local/cuda/bin/g++ sudo apt install gcc-5 g++-5 sudo ln -s ...
Read more >error -- unsupported GNU version! gcc versions later than 8 ...
Hi! Recently I have installed Ubuntu 20.04.4 LTS as a subsystem on Windows 10 machine to work with OptiX API. I did: updated...
Read more >CUDA 9.0 unsupported gcc versions later than 6 #731 - GitHub
Following these steps : Use virtualbox and install Ubuntu Server; git clone this repo; sudo ./scripts/install_cmake.sh; sudo .
Read more >NVIDIA CUDA on Ubuntu: unsupported GNU version! gcc ...
NVIDIA CUDA on Ubuntu: unsupported GNU version! gcc versions later than 5 are not supported! After installing CUDA on Ubuntu, compiling CUDA applications...
Read more >Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start FreeTop Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
Top GitHub Comments
As far as I know, you can install gcc user-only via anaconda.
Hmm… As I run it on Lambda Quad where a lot of users run their code on so I don’t have an admin account to downgrade it. Also, in the future, it maybe makes some conflicts with somebody else code.