<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[eight_Jessen的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/eight_Jessen</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; eight_Jessen]]></copyright><item><title><![CDATA[Stable Diffusion WebUI本地环境搭建]]></title><link>https://blog.youkuaiyun.com/eight_Jessen/article/details/140721272</link><guid>https://blog.youkuaiyun.com/eight_Jessen/article/details/140721272</guid><author>eight_Jessen</author><pubDate>Fri, 26 Jul 2024 18:43:57 +0800</pubDate><description><![CDATA[下载后模型放在项目里面 models/Stable-diffusion文件夹下，可以放多个。实际上跟自己创建的环境没有关系，项目启动会自动复制这个环境，之后项目根据这个基础环境构建。安装过程中可能有几个git项目下载不了，手动下载并修改launch.py文件。具体在这里下载，有很多地址可以下载，主要是。在终端运行 webui-user.bat。也可以在自己指定的环境里搭建项目。]]></description><category></category></item><item><title><![CDATA[conda下tensorflow安装]]></title><link>https://blog.youkuaiyun.com/eight_Jessen/article/details/136237532</link><guid>https://blog.youkuaiyun.com/eight_Jessen/article/details/136237532</guid><author>eight_Jessen</author><pubDate>Thu, 22 Feb 2024 16:31:06 +0800</pubDate><description><![CDATA[【代码】conda下tensorflow安装。]]></description><category></category></item><item><title><![CDATA[ChatGLM-6B开源模型环境配置与部署]]></title><link>https://blog.youkuaiyun.com/eight_Jessen/article/details/136234465</link><guid>https://blog.youkuaiyun.com/eight_Jessen/article/details/136234465</guid><author>eight_Jessen</author><pubDate>Thu, 22 Feb 2024 15:14:42 +0800</pubDate><description><![CDATA[chatglm6B开源模型环境配置与部署]]></description><category></category></item><item><title><![CDATA[Docker]]></title><link>https://blog.youkuaiyun.com/eight_Jessen/article/details/135935020</link><guid>https://blog.youkuaiyun.com/eight_Jessen/article/details/135935020</guid><author>eight_Jessen</author><pubDate>Wed, 07 Feb 2024 17:21:00 +0800</pubDate><description><![CDATA[Docker 是一个开源的应用容器引擎，基于 Go 语言 并遵从 Apache2.0 协议开源。Docker 可以让开发者打包他们的应用以及依赖包到一个轻量级、可移植的容器中，然后发布到任何流行的 Linux 机器上，也可以实现虚拟化。容器是完全使用沙箱机制，相互之间不会有任何接口（类似 iPhone 的 app），更重要的是容器性能开销极低。]]></description><category></category></item><item><title><![CDATA[Kubernetes k8s]]></title><link>https://blog.youkuaiyun.com/eight_Jessen/article/details/135849925</link><guid>https://blog.youkuaiyun.com/eight_Jessen/article/details/135849925</guid><author>eight_Jessen</author><pubDate>Tue, 30 Jan 2024 11:36:10 +0800</pubDate><description><![CDATA[API Server：处理 API 操作的，Kubernetes 中所有的组件都会和 API Server 进行连接，组件与组件之间一般不进行独立的连接，都依赖于 API Server 进行消息的传送；Controller：控制器，用来完成对集群状态的一些管理。比如刚刚我们提到的两个例子之中，第一个自动对容器进行修复、第二个自动进行水平扩张，都是由 Kubernetes 中的 Controller 来进行完成的；Scheduler。]]></description><category></category></item><item><title><![CDATA[ChatGLM论文解读]]></title><link>https://blog.youkuaiyun.com/eight_Jessen/article/details/135837953</link><guid>https://blog.youkuaiyun.com/eight_Jessen/article/details/135837953</guid><author>eight_Jessen</author><pubDate>Thu, 25 Jan 2024 10:50:52 +0800</pubDate><description><![CDATA[chatGLM论文解读]]></description><category></category></item><item><title><![CDATA[Spark十一：面试问题]]></title><link>https://blog.youkuaiyun.com/eight_Jessen/article/details/135458333</link><guid>https://blog.youkuaiyun.com/eight_Jessen/article/details/135458333</guid><author>eight_Jessen</author><pubDate>Fri, 12 Jan 2024 10:31:15 +0800</pubDate><description><![CDATA[完整内容见：https://mp.weixin.qq.com/s/caCk3mM5iXy0FaXCLkDwYQ。]]></description><category></category></item><item><title><![CDATA[Spark十：故障排除]]></title><link>https://blog.youkuaiyun.com/eight_Jessen/article/details/135457409</link><guid>https://blog.youkuaiyun.com/eight_Jessen/article/details/135457409</guid><author>eight_Jessen</author><pubDate>Fri, 12 Jan 2024 10:24:37 +0800</pubDate><description><![CDATA[Spark常见故障和排除方法学习资料：https://mp.weixin.qq.com/s/caCk3mM5iXy0FaXCLkDwYQ。]]></description><category></category></item><item><title><![CDATA[Spark九：Spark调优之Shuffle调优]]></title><link>https://blog.youkuaiyun.com/eight_Jessen/article/details/135453610</link><guid>https://blog.youkuaiyun.com/eight_Jessen/article/details/135453610</guid><author>eight_Jessen</author><pubDate>Thu, 11 Jan 2024 09:44:00 +0800</pubDate><description><![CDATA[Spark shuffle调优方法,map端和reduce端缓存大小设置，reduce端重试次数和等待时间间隔，以及bypass设置]]></description><category></category></item><item><title><![CDATA[Spark八：Spark性能优化]]></title><link>https://blog.youkuaiyun.com/eight_Jessen/article/details/135410967</link><guid>https://blog.youkuaiyun.com/eight_Jessen/article/details/135410967</guid><author>eight_Jessen</author><pubDate>Wed, 10 Jan 2024 09:47:47 +0800</pubDate><description><![CDATA[Spark调优的方法，包括RDD使用、文件读取，partition等]]></description><category></category></item><item><title><![CDATA[Spark七：Spark数据倾斜]]></title><link>https://blog.youkuaiyun.com/eight_Jessen/article/details/135408971</link><guid>https://blog.youkuaiyun.com/eight_Jessen/article/details/135408971</guid><author>eight_Jessen</author><pubDate>Tue, 09 Jan 2024 09:59:31 +0800</pubDate><description><![CDATA[Spark中的数据倾斜问题主要指shuffle过程中出现的数据倾斜问题，由不同的key对应的数据量不同导致的不同task所处理的数据量不同的问题。

本节学习数据倾斜问题的避免与缓解。]]></description><category></category></item><item><title><![CDATA[Spark六：Spark 底层执行原理SparkContext、DAG、TaskScheduler]]></title><link>https://blog.youkuaiyun.com/eight_Jessen/article/details/135393244</link><guid>https://blog.youkuaiyun.com/eight_Jessen/article/details/135393244</guid><author>eight_Jessen</author><pubDate>Mon, 08 Jan 2024 09:45:04 +0800</pubDate><description><![CDATA[学习Spark运行流程]]></description><category></category></item><item><title><![CDATA[Spark五：Spark的两种核心Shuffle]]></title><link>https://blog.youkuaiyun.com/eight_Jessen/article/details/135387590</link><guid>https://blog.youkuaiyun.com/eight_Jessen/article/details/135387590</guid><author>eight_Jessen</author><pubDate>Fri, 05 Jan 2024 09:41:07 +0800</pubDate><description><![CDATA[Spark 也有 Map 阶段和 Reduce 阶段，因此也会出现 Shuffle，介绍Spark的两种核心Shuffle，Hash Shuffle和Sort Shuffle]]></description><category></category></item><item><title><![CDATA[Spark四：Spark Streaming和Structured Streaming]]></title><link>https://blog.youkuaiyun.com/eight_Jessen/article/details/135370397</link><guid>https://blog.youkuaiyun.com/eight_Jessen/article/details/135370397</guid><author>eight_Jessen</author><pubDate>Fri, 05 Jan 2024 09:34:39 +0800</pubDate><description><![CDATA[介绍Spark Streaming整体流程和DStream介绍Structured Streaming发展历史和Dataflow模型介绍。]]></description><category></category></item><item><title><![CDATA[Spark三：Spark SQL]]></title><link>https://blog.youkuaiyun.com/eight_Jessen/article/details/135359284</link><guid>https://blog.youkuaiyun.com/eight_Jessen/article/details/135359284</guid><author>eight_Jessen</author><pubDate>Thu, 04 Jan 2024 09:59:31 +0800</pubDate><description><![CDATA[数据分析的方式，数据分类饿SparkSQL使用场景。几种数据抽象和SparkSQL读写数据和处理数据的两种风格：SQL风格和DSL风格]]></description><category></category></item><item><title><![CDATA[Spark二、Spark技术栈之Spark Core]]></title><link>https://blog.youkuaiyun.com/eight_Jessen/article/details/135341359</link><guid>https://blog.youkuaiyun.com/eight_Jessen/article/details/135341359</guid><author>eight_Jessen</author><pubDate>Wed, 03 Jan 2024 11:20:49 +0800</pubDate><description><![CDATA[spark核心：包括RDD、RDD算子、RDD的持久化/缓存、累加器和广播变量。]]></description><category></category></item><item><title><![CDATA[Spark一：Spark介绍、技术栈与运行模式]]></title><link>https://blog.youkuaiyun.com/eight_Jessen/article/details/135337172</link><guid>https://blog.youkuaiyun.com/eight_Jessen/article/details/135337172</guid><author>eight_Jessen</author><pubDate>Tue, 02 Jan 2024 14:58:38 +0800</pubDate><description><![CDATA[Spark官网。]]></description><category></category></item><item><title><![CDATA[scala学习八：类和对象]]></title><link>https://blog.youkuaiyun.com/eight_Jessen/article/details/135216902</link><guid>https://blog.youkuaiyun.com/eight_Jessen/article/details/135216902</guid><author>eight_Jessen</author><pubDate>Wed, 27 Dec 2023 09:44:32 +0800</pubDate><description><![CDATA[类是对象的抽象，而对象是类的具体实例。类是抽象的，不占用内存，而对象是具体的，占用存储空间。类是用于创建对象的蓝图，它是一个定义包括在特定类型的对象中的方法和变量的软件模板。Scala中的类不声明为public，一个Scala源文件中可以有多个类。以上实例的类定义了两个变量 x 和 y ，一个方法：move，方法没有返回值。Scala 的类定义可以有参数，称为类参数，如上面的 xc, yc，类参数在整个类中都可以访问。可以使用new来实例化类，并访问类中的方法和变量。]]></description><category></category></item><item><title><![CDATA[scala学习七：集合]]></title><link>https://blog.youkuaiyun.com/eight_Jessen/article/details/135092603</link><guid>https://blog.youkuaiyun.com/eight_Jessen/article/details/135092603</guid><author>eight_Jessen</author><pubDate>Tue, 26 Dec 2023 10:03:17 +0800</pubDate><description><![CDATA[Scala提供了一套很好的集合实现，提供了一些集合类型的抽象。Scala 集合分为可变的和不可变的集合。可变集合可以在适当的地方被更新或扩展。可以修改，添加，移除一个集合的元素。而不可变集合类，永远不会改变。不过，仍然可以模拟添加，移除或更新操作。但是这些操作将在每一种情况下都返回一个新的集合，同时使原来的集合不发生改变。]]></description><category></category></item><item><title><![CDATA[scala学习六：数组]]></title><link>https://blog.youkuaiyun.com/eight_Jessen/article/details/135085038</link><guid>https://blog.youkuaiyun.com/eight_Jessen/article/details/135085038</guid><author>eight_Jessen</author><pubDate>Wed, 20 Dec 2023 09:46:25 +0800</pubDate><description><![CDATA[多维数组一个数组中的值可以是另一个数组，另一个数组的值也可以是一个数组。矩阵与表格是我们常见的二维数组。数组里面的每个元素是相同的数据类型，一般用for循环处理。range() 方法最后一个参数为步长，默认为 1。存储固定大小的同类型元素。]]></description><category></category></item></channel></rss>