相关疑难解决方法(0)

我有

$ python3 -c "import tensorflow as tf;print(tf.__version__)"
1.15.0  

和

$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Sun_Jul_28_19:07:16_PDT_2019
Cuda compilation tools, release 10.1, V10.1.243

和

python --version
Python 3.6.9
pip --version
pip 19.3.1 from /usr/local/lib/python3.6/dist-packages/pip (python 3.6)

但我CUDA 10.2从nvidia-smi

$ nvidia-smi
Tue Nov 17 18:40:54 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.33.01    Driver Version: 440.33.01    CUDA Version: 10.2     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC …

我已经在Ubuntu 18.04上安装了Cuda 10.1和cudnn，并且似乎已正确安装为nvcc和nvidia-smi类型，我得到了正确的响应：

    user:~$ nvcc -V
    nvcc: NVIDIA (R) Cuda compiler driver
    Copyright (c) 2005-2019 NVIDIA Corporation
    Built on Fri_Feb__8_19:08:17_PST_2019
    Cuda compilation tools, release 10.1, V10.1.105
    user:~$ nvidia-smi 
    Mon Mar 18 14:36:47 2019       
    +-----------------------------------------------------------------------------+
    | NVIDIA-SMI 418.43       Driver Version: 418.43       CUDA Version: 10.1     |
    |-------------------------------+----------------------+----------------------+
    | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
    | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
    |===============================+======================+======================|
    |   0  Quadro K5200        Off  | 00000000:03:00.0  On |                  Off |
    | …