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
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正十七

2020-04-04

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Geek宝贝
亲测,虽然第二个csdn博客可用,但是不推荐,因为会改变dependence影响后面的python3和pip的装载!亲测! 推荐更简单方式: $ sudo apt-get update $ sudo apt-get install --no-install-recommends nvidia-384 libcuda1-384 nvidia-opencl-icd-384 $ sudo reboot
2020-04-07
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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

    


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