Kay Yan yankay

参考： https://www.substratus.ai/blog/kind-with-gpus 先把 docker 配好

sudo nvidia-ctk runtime configure --runtime=docker --set-as-default
sudo systemctl restart docker

Set accept-nvidia-visible-devices-as-volume-mounts = true in /etc/nvidia-container-runtime/config.toml:

参考： https://github.com/kubernetes-sigs/lws/blob/main/charts/lws/README.md

git clone https://github.com/kubernetes-sigs/lws.git
cd lws/charts
helm upgrade --install lws lws --create-namespace --namespace lws-system \
  --set image.manager.repository=m.daocloud.io/gcr.io/k8s-staging-lws/lws

卸载:

	参考
	- https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/latest/getting-started.html#operator-install-guide
	- https://www.substratus.ai/blog/kind-with-gpus
	- https://gist.github.com/yankay/aebce68e1a53f3086a5d1aac0dd67554

	kubectl create ns gpu-operator
	kubectl label --overwrite ns gpu-operator pod-security.kubernetes.io/enforce=privileged

	helm repo add nvidia https://helm.ngc.nvidia.com/nvidia \
	&& helm repo update

	export KUBE_VERSION="1.28.0"
	export FILE_MIRROR="https://files.m.daocloud.io"

	cd /tmp

	curl -LO "$FILE_MIRROR/dl.k8s.io/release/v$KUBE_VERSION/bin/linux/amd64/kubectl"
	chmod +x kubectl
	mv kubectl /usr/local/bin

	curl -LO "$FILE_MIRROR/dl.k8s.io/release/v$KUBE_VERSION/bin/linux/amd64/kubeadm"

	cd /tmp
	export LAZYGIT_VERSION=$(curl -s https://api.github.com/repos/jesseduffield/lazygit/releases/latest \| grep '"tag_name":' \| sed -E 's/."([^"]+)"./\1/' )
	export LAZYGIT_VERSION=${LAZYGIT_VERSION:1:100}

	wget https://files.m.daocloud.io/github.com/jesseduffield/lazygit/releases/download/v${LAZYGIT_VERSION}/lazygit_${LAZYGIT_VERSION}_Linux_x86_64.tar.gz
	tar -zxvf lazygit_${LAZYGIT_VERSION}_Linux_x86_64.tar.gz

	chmod +x lazygit
	mv lazygit /usr/local/bin/lazygit
	lazygit -v

	cd /tmp
	export NERDCTL_VERSION=$(curl -s https://api.github.com/repos/containerd/nerdctl/releases/latest \| grep '"tag_name":' \| sed -E 's/."([^"]+)"./\1/' )
	export NERDCTL_VERSION=${NERDCTL_VERSION:1:100}

	wget https://files.m.daocloud.io/github.com/containerd/nerdctl/releases/download/v${NERDCTL_VERSION}/nerdctl-${NERDCTL_VERSION}-linux-amd64.tar.gz
	tar -zxvf nerdctl-${NERDCTL_VERSION}-linux-amd64.tar.gz

	chmod +x nerdctl
	mv nerdctl /usr/local/bin/nerdctl
	nerdctl version

	#!/usr/bin/python
	# -- coding: UTF-8 --

	import os
	import gzip
	import numpy as np
	import tensorflow as tf
	from tensorflow import keras
	print('TensorFlow version: {}'.format(tf.__version__))
	dataset_path = "/root/data/"

	参考：https://github.com/fcwu/docker-ubuntu-vnc-desktop

	docker run -p 6080:80 -p 5900:5900 -v /dev/shm:/dev/shm -v /tmp:/tmp release-ci.daocloud.io/docker.m.daocloud.io/dorowu/ubuntu-desktop-lxde-vnc

	export http_proxy="http://xxxx:10809"
	export https_proxy="http://xxxx:10809"

	curl -sSf https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh \| bash

	curl -LO https://files.m.daocloud.io/github.com/kvaps/kubectl-node-shell/raw/v1.7.0/kubectl-node_shell
	chmod +x ./kubectl-node_shell
	mv ./kubectl-node_shell /usr/local/bin/kubectl-node_shell