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

Eclipse在使用Tensorflow-CUDA10 的时候，出现错误;

参考链接：https://blog.csdn.net/qq_20373723/article/details/80065936

官方文档：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

安装时候出现库的错误，使用sudo apt-get -f install ,然后 sudo apt-get install tensorrt ，自动下载几Mb文件，安装成功！

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:~/下载$ 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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