在ubuntu20.04上运行tensorflow时“无法加载动态库‘libcudnn.so.8’”

注意：有许多类似的问题，但针对不同版本的 ubuntu 和有些不同的特定库。我一直无法弄清楚符号链接的哪些组合，诸如此类的附加环境变量LD_LIBRARY_PATH会起作用

这是我的nvidia配置

$ nvidia-smi
Tue Apr  6 11:35:54 2021
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 450.80.02    Driver Version: 450.80.02    CUDA Version: 11.0     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  GeForce RTX 2070    Off  | 00000000:01:00.0 Off |                  N/A |
| 18%   25C    P8     9W / 175W |     25MiB /  7982MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|    0   N/A  N/A      1081      G   /usr/lib/xorg/Xorg                 20MiB |
|    0   N/A  N/A      1465      G   /usr/bin/gnome-shell                3MiB |
+-----------------------------------------------------------------------------+

运行 TF 程序时，发生了以下情况：

2021-04-06 14:35:01.589906: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'libcudnn.so.8'; dlerror: libcudnn.so.8: cannot open shared object file: No such file or directory
2021-04-06 14:35:01.589914: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1757] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...

有没有人看到过这种特殊的组合，你是如何解决的？

这是尝试的其他修复之一，但没有变化：

conda install cudatoolkit=11.0