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软件要求

必须在系统中安装以下 NVIDIA® 软件: https://www.pytorials.com/how-to-install-tensorflow-gpu-with-cuda-10-0-for-python-on-ubuntu/

# 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-418
# 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=7.6.0.64-1+cuda10.0  \
    libcudnn7-dev=7.6.0.64-1+cuda10.0


# Install TensorRT. Requires that libcudnn7 is installed above.
sudo apt-get update && \        
        && sudo apt-get install -y --no-install-recommends libnvinfer-dev=5.1.5-1+cuda10.0
 

  

 

posted on 2019-07-03 11:34 浅蓝 阅读(...) 评论(...) 编辑 收藏
 
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