MacでPython始めるときコマンドを覚えるのが面倒なのでメモする

% brew install python3

# プロジェクト用のディレクトリに移動するんやで
% python3 -m venv .venv

# activateするんやで
% pip install -U pip
% pip install jupyterlab

ついでにGPUサーバの設定する

※ここからはUbuntuです

dockerインストールする

$ sudo apt-get update
$ sudo apt-get install apt-transport-https ca-certificates  curl gnupg lsb-release
$ curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg
$ echo "deb [arch=amd64 signed-by=/usr/share/keyrings/docker-archive-keyring.gpg] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
$ sudo groupadd docker
$ sudo usermod -aG docker $USER

***LOGOUT***
***RELOGIN***

$ sudo systemctl enable docker.service
$ sudo systemctl enable containerd.service
$ curl https://get.docker.com | sh \
  && sudo systemctl --now enable docker

参考：https://docs.docker.com/engine/install/ubuntu/

NVIDIAドライバインストールする

$ ubuntu-drivers devices
== /sys/devices/pci0000:00/0000:00:03.1/0000:09:00.0 ==
modalias : pci:v000010DEd00002504sv000010DEsd00001536bc03sc00i00
vendor   : NVIDIA Corporation
driver   : nvidia-driver-470-server - distro non-free
driver   : nvidia-driver-470 - distro non-free recommended
driver   : nvidia-driver-460-server - distro non-free
driver   : nvidia-driver-460 - distro non-free
driver   : xserver-xorg-video-nouveau - distro free builtin
$ sudo add-apt-repository ppa:graphics-drivers
$ sudo apt update
$ sudo apt install nvidia-driver-470-server
$ sudo reboot

CUDAドライバインストールする

$ sudo apt-get install linux-headers-$(uname -r)
$ distribution=$(. /etc/os-release;echo $ID$VERSION_ID | sed -e 's/\.//g')
$ wget https://developer.download.nvidia.com/compute/cuda/repos/$distribution/x86_64/cuda-$distribution.pin
$ sudo mv cuda-$distribution.pin /etc/apt/preferences.d/cuda-repository-pin-600
$ sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/$distribution/x86_64/7fa2af80.pub
$ echo "deb http://developer.download.nvidia.com/compute/cuda/repos/$distribution/x86_64 /" | sudo tee /etc/apt/sources.list.d/cuda.list
$ sudo apt-get update
$ sudo apt-get -y install cuda-drivers

参考：https://docs.nvidia.com/datacenter/tesla/tesla-installation-notes/index.html

NVIDIAコンテナツールキットをインストールする

$ distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
   && curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - \
   && curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
$ sudo apt-get update
$ sudo apt-get install -y nvidia-docker2
$ sudo systemctl restart docker

Tensorflow使う

# bash
docker run --gpus all -it tensorflow/tensorflow:latest-gpu bash

# python適当に起動
docker run --gpus all -it --rm tensorflow/tensorflow:latest-gpu python -c "import tensorflow as tf; print(tf.reduce_sum(tf.random.normal([1000, 1000])))"

# Jupyter使う
docker pull tensorflow/tensorflow:latest-gpu-jupyter
docker run -it -p 8888:8888 tensorflow/tensorflow:latest-gpu-jupyter

気が向いたら

更新します