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tensorflow.python.framework.errors_impl.NotFoundError: libnvinfer.so.5: cannot open shared object fi

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Eclipse在使用Tensorflow-CUDA10 的時(shí)候，出現(xiàn)錯(cuò)誤;

參考鏈接：https://blog.csdn.net/qq_20373723/article/details/80065936

官方文檔：https://docs.nvidia.com/deeplearning/sdk/tensorrt-install-guide/index.html#downloading

Download the TensorRT local repo file that matches the Ubuntu version you are using.

Install TensorRT from the Debian local repo package. $ sudo dpkg -i nv-tensorrt-repo-ubuntu1604-cuda10.0-trt5.0.2.6-ga-20181009_1-1_amd64.deb $ sudo apt-key add /var/nv-tensorrt-repo-cuda10.0-trt5.0.2.6-ga-20181009/7fa2af80.pub$ sudo apt-get update $ sudo apt-get install tensorrt

安裝時(shí)候出現(xiàn)庫(kù)的錯(cuò)誤，使用sudo apt-get -f install? ,然后 sudo apt-get install tensorrt ，自動(dòng)下載幾Mb文件，安裝成功！

If using Python 2.7: $ sudo apt-get install python-libnvinfer-dev The following additional packages will be installed: python-libnvinfer

If using Python 3.x: $ sudo apt-get install python3-libnvinfer-dev The following additional packages will be installed: python3-libnvinfer

If you plan to use TensorRT with TensorFlow: $ sudo apt-get install uff-converter-tf The graphsurgeon-tf package will also be installed with the above command.

Verify the installation. $ dpkg -l | grep TensorRT

You should see something similar to the following:

wishchin@wishchin-HP-ENVY-Laptop-13-ad1xx:~/下載$ dpkg -l | grep TensorRT
ii? graphsurgeon-tf???????????????????????????????????????????? 5.0.2-1+cuda10.0????????????????????????????? amd64??????? GraphSurgeon for TensorRT package
ii? libnvinfer-dev????????????????????????????????????????????? 5.0.2-1+cuda10.0????????????????????????????? amd64??????? TensorRT development libraries and headers
ii? libnvinfer-samples????????????????????????????????????????? 5.0.2-1+cuda10.0????????????????????????????? all????????? TensorRT samples and documentation
ii? libnvinfer5???????????????????????????????????????????????? 5.0.2-1+cuda10.0????????????????????????????? amd64??????? TensorRT runtime libraries
ii? python3-libnvinfer????????????????????????????????????????? 5.0.2-1+cuda10.0????????????????????????????? amd64??????? Python 3 bindings for TensorRT
ii? python3-libnvinfer-dev????????????????????????????????????? 5.0.2-1+cuda10.0????????????????????????????? amd64??????? Python 3 development package for TensorRT
ii? tensorrt??????????????????????????????????????????????????? 5.0.2.6-1+cuda10.0??????????????????????????? amd64??????? Meta package of TensorRT
ii? uff-converter-tf??????????????????????????????????????????? 5.0.2-1+cuda10.0????????????????????????????? amd64??????? UFF converter for TensorRT package

App Server Installation: When setting up servers which will host TensorRT powered applications, you can simply install any of the following:

the libnvinfer5 package (C++), or
the python-libnvinfer package (Python 2.7), or
the python3-libnvinfer package (Python 3.x).

Issue the following commands if you want to run an application that was built with TensorRT using the Debian package, for example:

$ sudo dpkg -i nv-tensorrt-repo-ubuntu1x04-cudax.x-trt5.1.x.x-ga-yyyymmdd_1-1_amd64.deb $ sudo apt-key add /var/nv-tensorrt-repo-cudax.x-trt5.1.x.x-ga-yyyymmdd/7fa2af80.pub$ sudo apt-get update $ sudo apt-get install libnvinfer5

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