安装-CUDA

CUDA即Compute Unified Device Architecture，是NVidia利用GPU平台进行通用并行计算的一种架构，它包含了CUDA指令集架。随着显卡的发展，GPU在计算上已经超越了一般的的CPU。因此NVidia也推出CUDA，让显卡可以用于并行计算）

1.需求

NVIDIA® 显卡 card with CUDA® Compute Capability 3.5 or higher.

2.安装-ubuntu 18.04(cuda 10)

在命令行输入下面代码

# 加入nvidia源
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

# 装显卡驱动
sudo apt-get install --no-install-recommends nvidia-driver-418
# 重启

重启电脑后，在命令行输入nvidia-smi验证显卡驱动如果安装成功则会看到如下界面

# 装cuda
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

验证安装

import tensorflow as tf 
tf.test.is_gpu_available( cuda_only=False, min_cuda_compute_capability=None )

返回为True 则为安装成功