gpu版本的配置问题
来源:1-9 Google_cloud_gpu_tensorflow配置
qq_慕沐932272
2020-03-21
NVIDIA-SMI has failed because it couldn’t communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.
按照对应的语句运行之后,就提示这个
上网查询资料之后,没有解决
来问一下
2回答
-
正十七
2020-04-04
同学你好,有很多可能的原因会导致这个问题,比如内核没有更新,nvidia的驱动版本不对等,可以参考:
https://blog.csdn.net/u011668104/article/details/79560381
http://andy51002000.blogspot.com/2019/01/nvidia-smi-has-failed-because-it.html
112020-04-07 -
Geek宝贝
2020-04-07
# Add NVIDIA package repositories
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
sudo apt-get update
wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
sudo apt install ./nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
sudo apt-get update
# Install NVIDIA driver
sudo apt-get install --no-install-recommends nvidia-driver-410
# Reboot. Check that GPUs are visible using the command: nvidia-smi
# Install development and runtime libraries (~4GB)
sudo apt-get install --no-install-recommends \
cuda-10-0 \
libcudnn7=7.4.1.5-1+cuda10.0 \
libcudnn7-dev=7.4.1.5-1+cuda10.0
# Install TensorRT. Requires that libcudnn7 is installed above.
sudo apt-get update && \
sudo apt-get install nvinfer-runtime-trt-repo-ubuntu1804-5.0.2-ga-cuda10.0 \
&& sudo apt-get update \
&& sudo apt-get install -y --no-install-recommends libnvinfer-dev=5.0.2-1+cuda10.0
00
相似问题