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测试平台：DigitalOcean VPS ubuntu14.04 x64, strongswan5.2.2

运行以下命令请使用root权限

一：安装strongswan

由于ubuntu软件仓库中strongswan版本较低，因此从官网源码编译安装

apt-get install build-essential     #编译环境
aptitude install libgmp10 libgmp3-dev libssl-dev pkg-config libpcsclite-dev libpam0g-dev     #编译所需要的软件

Setup

On every machine in the cluster install openmpi and mlx-lm:

conda install conda-forge::openmpi
pip install -U mlx-lm

Next download the pipeline parallel run script. Download it to the same path on every machine:

Harvester GPU Provisioning

Install Harvester, then SSH into the server.
Edit /boot/grub/grub.cfg as follows:

 set default=0
 set timeout=10

Harvester SNAT Problem

Problem Description

Harvester leverages the Kubernetes service to provide the load balancer for the service in the Harvester virtual machines. The backend servers of the load balancer are the <VM IP>:<service port>.

cw-harv:/home/rancher # kubectl get svc
NAME                        TYPE           CLUSTER-IP      EXTERNAL-IP    PORT(S)        AGE
default-nginx-lb-db9bdca5 LoadBalancer 10.43.113.238 80:32586/TCP 4h32m

Docker Hub 镜像加速器

国内从 Docker Hub 拉取镜像有时会遇到困难，此时可以配置镜像加速器。Docker 官方和国内很多云服务商都提供了国内加速器服务。

Dockerized 实践 https://github.com/y0ngb1n/dockerized

配置加速地址

Ubuntu 16.04+、Debian 8+、CentOS 7+

Project:

project/: A directory named with the project's name which stores the actual Python package
- __init__py
- app.py
- settings.py
- urls.py
- models/
  - __init__.py
  - baes.py
handlers/

	[mac os下vscode快捷键](https://www.cnblogs.com/informatics/p/8315339.html)
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	import collections
	import uuid
	from typing import Dict

	import numpy as np
	import tritonclient
	import tritonclient.grpc as grpcclient
	import tritonclient.utils.shared_memory as shm

	ShmHandle = collections.namedtuple(

	FROM ubuntu as ubuntu

	RUN apt-get update
	RUN apt-get install -y dpkg-dev wget gnupg2 curl

	ARG ubuntu_packages="wget htop default-jre-headless apt-transport-https nvidia-container-toolkit cuda-drivers libopengl0 linux-image-extra-virtual omnisci"

	WORKDIR /opt/packages/deb

	# Nvidia-Docker

	# Run this in the project repo from the command-line
	# http://stackoverflow.com/a/4593065/99923

	git log --shortstat --author "Xeoncross" --since "2 weeks ago" --until "1 week ago" \| grep "files changed" \| awk '{files+=$1; inserted+=$4; deleted+=$6} END {print "files changed", files, "lines inserted:", inserted, "lines deleted:", deleted}'