Ubuntu安装TensorFlow

安装Anaconda

Anaconda安装脚本下载地址：www.continuum.io/downloads

执行 Anaconda2-x.x.x-Linux-x86_64.sh

安装的过程会把jupyter和其他一些常用工具也安装进去

安装成功后，启动Jupyter notebook，打开浏览器，进入notebook中的python环境

创建conda环境tensorflow

conda create -n tensorflow python=3.8

激活tensorflow环境

source activate tensorflow

安装tensorflow

pip install --ignore-installed tensorflow

安装tensorflow-gpu

装NVIDIA驱动

下载地址： www.nvidia.cn/Download/in…

安装CUDA和CuDNN

卸载原有的驱动

sudo apt-get --purge remove nvidia*
sudo apt autoremove
sudo apt-get --purge remove "*cublas*" "cuda*"
sudo apt-get --purge remove "*nvidia*"

系统cuda版本对照表：docs.nvidia.com/cuda/cuda-t…

python cuda 版本对照：tensorflow.google.cn/install

安装命令（参考Tensorflow官网）

# Add NVIDIA package repositories
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /"
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

wget https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/libnvinfer7_7.1.3-1+cuda11.0_amd64.deb
sudo apt install ./libnvinfer7_7.1.3-1+cuda11.0_amd64.deb
sudo apt-get update

# Install development and runtime libraries (~4GB)
sudo apt-get install --no-install-recommends \
    cuda-11-0 \
    libcudnn8=8.0.4.30-1+cuda11.0  \
    libcudnn8-dev=8.0.4.30-1+cuda11.0

# Reboot. Check that GPUs are visible using the command: nvidia-smi

# Install TensorRT. Requires that libcudnn8 is installed above.
sudo apt-get install -y --no-install-recommends libnvinfer7=7.1.3-1+cuda11.0 \
    libnvinfer-dev=7.1.3-1+cuda11.0 \
    libnvinfer-plugin7=7.1.3-1+cuda11.0

添加环境变量

PATH=/usr/local/cuda-11.0/bin:$PATH
LD_LIBRARY_PATH=/usr/local/cuda-11.0/lib64:$LD_LIBRARY_PATH

创建conda环境tensorflow-gpu

conda create -n tensorflow-gpu python=3.8

激活tensorflow环境

source activate tensorflow-gpu

安装tensorflow-gpu

pip install tensorflow-gpu