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tensorflow-gpu 錯誤: ImportError: libnvidia-fatbinaryloader.so.375.66

1 min readAug 16, 2017

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剛剛登入我的 aws instance 想要用 tensorflow 跑 model training, 卻出現了以下的錯誤訊息。昨天還跑得很順呀~
“ImportError: libnvidia-fatbinaryloader.so.375.66: cannot open shared object file: No such file or directory”

google search 看到一些結果,看不懂:
https://github.com/tensorflow/tensorflow/issues/9071

http://www.nvidia.com/object/gpu-accelerated-applications-tensorflow-installation.html
按照 nvidia 跟 tensorflow 的網頁,重新安裝 nvidia drive, cuda, cudnn, tensorflow-gpu, 都沒用。

nvidia-smi 也會出現錯誤訊息,忘記抄下了。

sudo apt-get upgrade, 發現有被 held back 的 upgrade:
https://askubuntu.com/questions/601/the-following-packages-have-been-kept-back-why-and-how-do-i-solve-it

按照比較安全的方法,分別升級它們:
sudo apt-get install cuda-drivers
sudo apt-get install libcuda1–375
sudo apt-get install nvidia-opencl-icd-375
然後 reboot, 才回復正常,可以繼續使用 gpu 版本 tensorflow 做事。

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sunpochin
sunpochin

Written by sunpochin

robotics engineer, flamenco guitar player,

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