Could not load dynamic library 'libnvinfer.so.7'

我知道这个问题已经被问过很多次了，但所有的建议似乎都不起作用，可能是因为我的设置有些不同吧。

Ubuntu          22.04
python          3.10.8
tensorflow      2.11.0
cudatoolkit     11.2.2
cudnn           8.1.0.77
nvidia-tensorrt 8.4.3.1
nvidia-pyindex  1.0.9

在创建了一个conda环境'tf'之后，在目录home/dan/anaconda3/envs/tf/lib/python3.10/site-packages/tensorrt中，我有

libnvinfer_builder_resource.so.8.4.3
libnvinfer_plugin.so.8
libnvinfer.so.8
libnvonnxparser.so.8
libnvparsers.so.8
tensorrt.so

当运行python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))"时，我得到的结果是

tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7';
dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory;
LD_LIBRARY_PATH: :/home/dan/anaconda3/envs/tf/lib

tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7';
dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory;
LD_LIBRARY_PATH: :/home/dan/anaconda3/envs/tf/lib

tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.

[PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]

我猜想我应该降级nvidia-tensorrt，但我所尝试的一切似乎都不起作用，任何建议都将是非常感激的。

解决办法：按照这里列出的步骤，https://github.com/tensorflow/tensorflow/issues/57679#issuecomment-1249197802。

在~/.bashrc中添加以下内容（用于我的方案中所描述的conda环境）。

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/dan/anaconda3/lib/
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/dan/anaconda3/lib/python3.8/site-packages/tensorrt/
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/dan/anaconda3/envs/tf/lib
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/dan/anaconda3/envs/tf/lib/python3.8/site-packages/tensorrt/

对我来说，从libnvinfer版本7到8的符号链接的设置是有效的。

# the follwoing path will be different for you - depending on your install method
$ cd env/lib/python3.10/site-packages/tensorrt

# create symbolic links
$ ln -s libnvinfer_plugin.so.8 libnvinfer_plugin.so.7
$ ln -s libnvinfer.so.8 libnvinfer.so.7

# add tensorrt to library path
$ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:~/env/lib/python3.10/site-packages/tensorrt/