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SkylerHuang avatar SkylerHuang commented on May 29, 2024 5

i set -D_GLIBCXX_USE_CXX11_ABI=1, complie it successfully

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xiaoself1990 avatar xiaoself1990 commented on May 29, 2024

i set -D_GLIBCXX_USE_CXX11_ABI=1, complie it successfully

Hallo @SkylerHuang , i got the same problem, can you please tell me which enviroment did you use? Thanks a lot!

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SkylerHuang avatar SkylerHuang commented on May 29, 2024

Hello @xiaoself1990, my environment is Ubuntu 18.04.2, Python2.7, GCC 7.3.0, Cudn 10.0, Tensorflow 1.13.1

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ReallyPuzzle avatar ReallyPuzzle commented on May 29, 2024

i set -D_GLIBCXX_USE_CXX11_ABI=1, complie it successfully

This is useful!

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bodhicheng avatar bodhicheng commented on May 29, 2024

The problem is caused by the difference between the local and compiled gcc versions of tensorflow.
Conda's tensorflow is compiled by gcc7. My local version is 4.8. When I installed with pip, the problem was solved.

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AmrMoataz avatar AmrMoataz commented on May 29, 2024

i set -D_GLIBCXX_USE_CXX11_ABI=1, complie it successfully

in which file can i do this ?

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bodhicheng avatar bodhicheng commented on May 29, 2024

i set -D_GLIBCXX_USE_CXX11_ABI=1, complie it successfully

in which file can i do this ?

It is a parameter of g++ command. You should set it in the compile command.

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FeiDao7943 avatar FeiDao7943 commented on May 29, 2024

I just avoid this issue in change version of g++, gcc, TF, and CUDA.
It works on both colab and physical computers.
You can try in this environment, that seems not so reasonable but effective.

Ubuntu 18.04.5 LTS
tensorflow-gpu==1.13.1
numpy==1.16.0 (this might be the key)
gcc (Ubuntu 5.5.0-12ubuntu1) 5.5.0
g++ (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
CUDA 10.0

And "-D_GLIBCXX_USE_CXX11_ABI=0" in the "tf_xxxx_complie.sh" should be deleted

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