libstdc++.so.6: version `GLIBCXX_3.4.22' not found about tensorflow-on-arm HOT 24 CLOSED

I originally encountered this error message after trying to run Matrix Laboratory from the terminal command prompt. I encountered a thread on Matlab answers that helped fix the problem. This may or may not apply in your particular situation, but it is worth giving this a try. I posted a link to the original discussion thread at the bottom.

Try these commands, you need to upgrade your libstdc++6 version. If first command can't run, just run other three. I hope it can help you.

%code
sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt-get update
sudo apt-get install gcc-4.9
sudo apt-get upgrade libstdc++6

https://www.mathworks.com/matlabcentral/answers/389024-why-does-matlab-r2018a-display-erroneous-message-on-ubuntu-16-04?s_tid=answers_rc1-2_p2_MLT

from tensorflow-on-arm.

libstdc++6

Hi, guys, just use this command to upgrade libstdc++6 is enough:
sudo apt-get install --only-upgrade libstdc++6
rather than
sudo apt-get upgrade libstdc++6
The latter one will upgrade all packages, which needs a long time

In summary:
sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt-get update
sudo apt-get install gcc-4.9
sudo apt-get install --only-upgrade libstdc++6

from tensorflow-on-arm.

Hi, you're needs upgrade libstd.

apt-get update
apt-get install libstdc++6

from tensorflow-on-arm.

I ran into the same issue while installing tensorflow 1.8.0 on Ubuntu-Mate 1604. libstdc++6 package had already been update to its latest version.

I tried the command strings on /usr/lib/arm-linux-gnueabihf/libstdc++.so.6

$ strings /usr/lib/arm-linux-gnueabihf/libstdc++.so.6 | grep GLIBCXX
GLIBCXX_3.4
GLIBCXX_3.4.1
GLIBCXX_3.4.2
GLIBCXX_3.4.3
GLIBCXX_3.4.4
GLIBCXX_3.4.5
GLIBCXX_3.4.6
GLIBCXX_3.4.7
GLIBCXX_3.4.8
GLIBCXX_3.4.9
GLIBCXX_3.4.10
GLIBCXX_3.4.11
GLIBCXX_3.4.12
GLIBCXX_3.4.13
GLIBCXX_3.4.14
GLIBCXX_3.4.15
GLIBCXX_3.4.16
GLIBCXX_3.4.17
GLIBCXX_3.4.18
GLIBCXX_3.4.19
GLIBCXX_3.4.20
GLIBCXX_DEBUG_MESSAGE_LENGTH

The following instructions helped me upgrade libstdc++6 :
sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt-get update
sudo apt-get upgrade

from tensorflow-on-arm.

to use the correct version of libstdc++, you can copy over the libraries you linked against to the target machine.

On the machine that you used to compile tensorflow, copy over all files
tensorflow-on-arm/build_tensorflow/sources/toolchain/gcc-linaro-6.3.1-2017.05-x86_64_arm-linux-gnueabihf/arm-linux-gnueabihf/lib/libstdc++* to a directory on your target machine (say to /opt/myLibs/).
Then, point the variable LD_LIBRARY_PATH to that directory before you execute tensorflow.
export LD_LIBRARY_PATH=/opt/myLibs
python3 my_script.py
The system will then try to find libstdc++6 first in the directory /opt/myLibs before looking in other parts of your system.

from tensorflow-on-arm.

上述的办法好像有的404了，根据这个博客，进行替换更高版本的libstdc++.so.6即可，我选的是libstdc++.so.6.0.26解决了，这问题太折磨人了
https://blog.csdn.net/SweetSeven_/article/details/110186738

from tensorflow-on-arm.

上述的办法好像有的404了，根据这个博客，进行替换更高版本的libstdc++.so.6即可，我选的是libstdc++.so.6.0.26解决了，这问题太折磨人了 https://blog.csdn.net/SweetSeven_/article/details/110186738

请用英语交流
Please use English to communicate here

from tensorflow-on-arm.

I'm using Debian 11 and trying to import a KerasClassifiier
What worked for me was only:
sudo apt-get upgrade libstdc++6

from tensorflow-on-arm.

I use "conda install -c conda-forge gcc=12.1.0" fix 'GLIBCXX_3.4.30' not found error

from tensorflow-on-arm.

@wette
thank you! Your suggestion works perfectly!

from tensorflow-on-arm.

thanks very much

from tensorflow-on-arm.

@detectRecog your suggestion works for me, thanks

from tensorflow-on-arm.

@detectRecog thank u so much, it works fine for me

from tensorflow-on-arm.

I originally encountered this error message after trying to run Matrix Laboratory from the terminal command prompt. I encountered a thread on Matlab answers that helped fix the problem. This may or may not apply in your particular situation, but it is worth giving this a try. I posted a link to the original discussion thread at the bottom.

Try these commands, you need to upgrade your libstdc++6 version. If first command can't run, just run other three. I hope it can help you.

%code
sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt-get update
sudo apt-get install gcc-4.9
sudo apt-get upgrade libstdc++6

https://www.mathworks.com/matlabcentral/answers/389024-why-does-matlab-r2018a-display-erroneous-message-on-ubuntu-16-04?s_tid=answers_rc1-2_p2_MLT

@mwycliff
Thanks a lot, it helped me

from tensorflow-on-arm.

Install libstdc++-6-dev

from tensorflow-on-arm.

I originally encountered this error message after trying to run Matrix Laboratory from the terminal command prompt. I encountered a thread on Matlab answers that helped fix the problem. This may or may not apply in your particular situation, but it is worth giving this a try. I posted a link to the original discussion thread at the bottom.

Try these commands, you need to upgrade your libstdc++6 version. If first command can't run, just run other three. I hope it can help you.

%code
sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt-get update
sudo apt-get install gcc-4.9
sudo apt-get upgrade libstdc++6

https://www.mathworks.com/matlabcentral/answers/389024-why-does-matlab-r2018a-display-erroneous-message-on-ubuntu-16-04?s_tid=answers_rc1-2_p2_MLT

I have really to thank you!!! I lost some hours trying to get a solution and you gave me it. One more time thank you :D

from tensorflow-on-arm.

libstdc++6

Hi, guys, just use this command to upgrade libstdc++6 is enough: sudo apt-get install --only-upgrade libstdc++6 rather than sudo apt-get upgrade libstdc++6 The latter one will upgrade all packages, which needs a long time

In summary: sudo add-apt-repository ppa:ubuntu-toolchain-r/test sudo apt-get update sudo apt-get install gcc-4.9 sudo apt-get install --only-upgrade libstdc++6

this works for me, thank you so much

from tensorflow-on-arm.

libstdc++6

Hi, guys, just use this command to upgrade libstdc++6 is enough: sudo apt-get install --only-upgrade libstdc++6 rather than sudo apt-get upgrade libstdc++6 The latter one will upgrade all packages, which needs a long time

In summary: sudo add-apt-repository ppa:ubuntu-toolchain-r/test sudo apt-get update sudo apt-get install gcc-4.9 sudo apt-get install --only-upgrade libstdc++6

It's worked for me, thank you so much!!

from tensorflow-on-arm.

We are using redhat 7.9 version and getting same error /lib64/libstdc++.so.6: version 'GLIBCXX_3.4.22' not found.

But here we don't have internet to update the version. Any guidance if we can upgrade this one offline

from tensorflow-on-arm.

It was the last line that really worked:

sudo apt-get upgrade libstdc++6

It worked for my error: ImportError: /lib/x86_64-linux-gnu/libstdc++.so.6: version `GLIBCXX_3.4.29' not found

from tensorflow-on-arm.

sudo apt-get install --only-upgrade libstdc++6

this worked, thanks

from tensorflow-on-arm.

The general consensus works for me

sudo apt-get install software-properties-common  # If add-apt-repository is missing
sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt-get update
sudo apt-get upgrade libstdc++6

Can anyone explain WHY this external repository and upgrade are needed? If I already have libstdc++6 installed, why does upgrading change the output of strings /usr/lib/x86_64-linux-gnu/libstdc++.so.6 | grep GLIBCXX, and how can I control the upgrade to target a particular GLIBCXX version string?

I would expect libstdc++.so.6 to have a consistent set of symbols, so it would make more sense to me if I had to install a new libstdc++.so.7x to get the missing GLIBCXX, but instead the solution is just to update .so.6

from tensorflow-on-arm.

https://stackoverflow.com/questions/44205687/glibcxx-3-4-21-not-found-on-centos-7/78175490#78175490
I had the same problem in CentOS 7.x, and then solved it like this answer.
I hope it can be helpful for others.

from tensorflow-on-arm.

I use "conda install -c conda-forge gcc=12.1.0" fix 'GLIBCXX_3.4.30' not found error

I meet problem in Ubuntu22 for runing import rclpy，and solve this using above function.

from tensorflow-on-arm.