From 2c0342cbfe1176e371005dcefe94c1c3ca1adb98 Mon Sep 17 00:00:00 2001 From: "yi.wu" Date: Wed, 1 Mar 2017 09:36:40 +0800 Subject: [PATCH] Refine k8s doc update --- doc/howto/usage/k8s/k8s_basis_cn.md | 4 ++-- doc/howto/usage/k8s/k8s_distributed_cn.md | 4 ++-- doc/howto/usage/k8s/src/k8s-paddle-arch.png | Bin 530508 -> 513104 bytes 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/doc/howto/usage/k8s/k8s_basis_cn.md b/doc/howto/usage/k8s/k8s_basis_cn.md index f42631ced00..6278dacb17a 100644 --- a/doc/howto/usage/k8s/k8s_basis_cn.md +++ b/doc/howto/usage/k8s/k8s_basis_cn.md @@ -1,6 +1,6 @@ # Kubernetes 简介 -[*Kubernetes*](http://kubernetes.io/)是Google开源的容器集群管理系统,其提供应用部署、维护、 扩展机制等功能,利用Kubernetes能方便地管理跨机器运行容器化的应用。Kubernetes可以在物理机或虚拟机上运行,且支持部署到[AWS](http://kubernetes.io/docs/getting-started-guides/aws),[Azure](http://kubernetes.io/docs/getting-started-guides/azure/),[GCE](http://kubernetes.io/docs/getting-started-guides/gce)等多种公有云环境。介绍分布式训练之前,需要对[Kubernetes](http://kubernetes.io/)有一个基本的认识,下面先简要介绍一下本文用到的几个Kubernetes概念。 +[*Kubernetes*](http://kubernetes.io/)是Google开源的容器集群管理系统,其提供应用部署、维护、扩展机制等功能,利用Kubernetes能方便地管理跨机器运行容器化的应用。Kubernetes可以在物理机或虚拟机上运行,且支持部署到[AWS](http://kubernetes.io/docs/getting-started-guides/aws),[Azure](http://kubernetes.io/docs/getting-started-guides/azure/),[GCE](http://kubernetes.io/docs/getting-started-guides/gce)等多种公有云环境。介绍分布式训练之前,需要对[Kubernetes](http://kubernetes.io/)有一个基本的认识,下面先简要介绍一下本文用到的几个Kubernetes概念。 - [*Node*](http://kubernetes.io/docs/admin/node/) 表示一个Kubernetes集群中的一个工作节点,这个节点可以是物理机或者虚拟机,Kubernetes集群就是由node节点与master节点组成的。 @@ -51,7 +51,7 @@ curl -LO https://storage.googleapis.com/kubernetes-release/release/$(curl -s htt ## 配置kubectl访问你的kubernetes集群 -编辑`~/.kube/config`这个配置文件,修改`Master-IP`的地址。如果使用SSL认证,则需要配置`certificate-authority`和`users`中的用户证书。如果是使用非SSL方式访问(比如通过8080都安口),也可以去掉这些证书的配置。 +编辑`~/.kube/config`这个配置文件,修改`Master-IP`的地址。如果使用SSL认证,则需要配置`certificate-authority`和`users`中的用户证书。如果是使用非SSL方式访问(比如通过8080端口),也可以去掉这些证书的配置。 ``` apiVersion: v1 clusters: diff --git a/doc/howto/usage/k8s/k8s_distributed_cn.md b/doc/howto/usage/k8s/k8s_distributed_cn.md index cfc3086036f..3a47a3832fe 100644 --- a/doc/howto/usage/k8s/k8s_distributed_cn.md +++ b/doc/howto/usage/k8s/k8s_distributed_cn.md @@ -6,7 +6,7 @@ ## 整体方案 -在训练之前,用户将配置与训练数据切分好放在MFS目录中,训练时,程序从此目录拷贝文件到容器内进行训练,将结果保存到此目录里。整体的结构图如下: +在训练之前,用户将配置与训练数据切分好放在分布式文件系统预先分配好的目录中(不同的分布式文件系统,需要使用其制定的方式挂载后并导入数据),训练时,程序从此目录拷贝文件到容器内进行训练,将结果保存到此目录里。整体的结构图如下: ![paddle on kubernetes结构图](src/k8s-paddle-arch.png) @@ -28,7 +28,7 @@ PaddlePaddle镜像需要提供`paddle pserver`与`paddle train`进程的运行 - 拷贝训练文件到容器内 - 生成`paddle pserver`与`paddle train`进程的启动参数,并且启动训练 -因为官方镜像 `paddledev/paddle:cpu-latest` 内已经包含PaddlePaddle的执行程序但是还没上述功能,所以我们可以在这个基础上,添加启动脚本,制作新镜像来完成以上的工作。参考镜像的[*Dockerfile*]((https://github.com/PaddlePaddle/Paddle/blob/develop/doc/howto/usage/cluster/k8s/src/k8s_train/Dockerfile)。 +因为官方镜像 `paddledev/paddle:cpu-latest` 内已经包含PaddlePaddle的执行程序但是还没上述功能,所以我们可以在这个基础上,添加启动脚本,制作新镜像来完成以上的工作。参考镜像的[*Dockerfile*](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/howto/usage/cluster/k8s/src/k8s_train/Dockerfile)。 ```bash $ cd doc/howto/usage/k8s/src/k8s_train diff --git a/doc/howto/usage/k8s/src/k8s-paddle-arch.png b/doc/howto/usage/k8s/src/k8s-paddle-arch.png index c41a62392978eb94ceeb0ff24f23964055f5e06c..2183a232ad402b76f82a67234a5c93e13ce97ac3 100644 GIT binary patch literal 513104 zcmY(p1yEc;vo=g1NCF82f&~aJ!JVMNC1`M$0E;ZXxVwblA;4lmg0slt?!lJD7k5}- z@eLlxm-pWL-~aoj>Qv3?)6-A))aj|}ekM*!L+QoyH_tIJFkYxA%WGp`U`1kJVB+E7 z{F4Z)(s5#75WIGflhaa>lcUq}a0NIx*ZXm5<#iVmDYHF!S{%9d^gz#X z-%M-)PbE|fljSL?czxN1vDT}>FOV;6ZDi8(U)adVo&*HZ75=D-hb(CMrD3*pd9O(# 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