问题
环境
Deepin 20系统： Debian OS
NVIDIIA 驱动: NVIDIA-SMI 455.45.01 Driver Version: 455.45.01
nvidia-smi 显示cuda版本: CUDA Version: 11.1
安装的Cuda版本：11.1
Tensorflow2.0
在使用tensorflow2跑程序时，GPU没有利用起来，通过代码查看GPU使用情况，输出日志如下
import tensorflow as tf
print(tf.test.is_gpu_available())
输出日志
2021-03-08 19:51:11.747354: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2021-03-08 19:51:11.774909: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2899885000 Hz
2021-03-08 19:51:11.775871: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55d501378430 executing computations on platform Host. Devices:
2021-03-08 19:51:11.775926: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): Host, Default Version
2021-03-08 19:51:11.779414: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2021-03-08 19:51:11.881523: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1006] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-03-08 19:51:11.882130: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55d50140f0f0 executing computations on platform CUDA. Devices:
2021-03-08 19:51:11.882152: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): GeForce RTX 2070, Compute Capability 7.5
2021-03-08 19:51:11.882334: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1006] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-03-08 19:51:11.882678: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties:
name: GeForce RTX 2070 major: 7 minor: 5 memoryClockRate(GHz): 1.62
pciBusID: 0000:01:00.0
2021-03-08 19:51:11.882903: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda/lib64:/home/mgege007/cuda-11/lib64::/usr/local/cuda/extras/CUPTI/lib64
2021-03-08 19:51:11.882991: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcublas.so.10.0'; dlerror: libcublas.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda/lib64:/home/mgege007/cuda-11/lib64::/usr/local/cuda/extras/CUPTI/lib64
2021-03-08 19:51:11.883060: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcufft.so.10.0'; dlerror: libcufft.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda/lib64:/home/mgege007/cuda-11/lib64::/usr/local/cuda/extras/CUPTI/lib64
2021-03-08 19:51:11.883131: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcurand.so.10.0'; dlerror: libcurand.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda/lib64:/home/mgege007/cuda-11/lib64::/usr/local/cuda/extras/CUPTI/lib64
2021-03-08 19:51:11.883202: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcusolver.so.10.0'; dlerror: libcusolver.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda/lib64:/home/mgege007/cuda-11/lib64::/usr/local/cuda/extras/CUPTI/lib64
2021-03-08 19:51:11.883269: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcusparse.so.10.0'; dlerror: libcusparse.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda/lib64:/home/mgege007/cuda-11/lib64::/usr/local/cuda/extras/CUPTI/lib64
2021-03-08 19:51:11.883334: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcudnn.so.7'; dlerror: libcudnn.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda/lib64:/home/mgege007/cuda-11/lib64::/usr/local/cuda/extras/CUPTI/lib64
2021-03-08 19:51:11.883344: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1641] 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...
2021-03-08 19:51:11.883362: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-03-08 19:51:11.883370: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165] 0
2021-03-08 19:51:11.883376: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0: N
False
问题解决
日志说明：正在寻找CUDA 10.0。 但是我的CUDA版本是11.1，不能使用CUDA 11.1或CUDA 11.2替代它。 仅仅需要去官网下载CUDA10.0和对应的cudnn安装即可，不需要更改NVIDIA驱动。并且注意，根据自己的文件CUDA路径，进行相应的环境变量的配置
步骤
（1）CUDA+CuDnn安装过程参考本人另一篇博客Deepin 20系统安装CUDA+cudnn
（2）更改CUDA环境变量参考本人另一篇博客Deepin 20系统切换CUDA版本
