最近使用github上的一个开源项目训练基于CNN的翻译模型,使用THEANO_FLAGS='floatX=float32,device=gpu2,lib.cnmem=1' python run_nnet.py -w data/exp1/,运行时报错,打印"The image and the kernel must have the same type. inputs(float64), kerns(float32)"的错误,然后使用THEANO_FLAGS='floatX=float

keras 自适应分配显存 & 清理不用的变量释放 GPU 显存 Intro Are you running out of GPU memory when using keras or tensorflow deep learning models, but only some of the time? Are you curious about exactly how much GPU memory your tensorflow model uses during training? Are

Memory Usage On linux, there are commands for almost everything, because the gui might not be always available. When working on servers only shell access is available and everything has to be done from these commands. So today we shall be checking th

转载一个shell统计linux系统中每个程序的内存使用情况,因为内存结构非常复杂,不一定100%精确,此shell可以在Ghub上下载. [root@db231 ~]# ./memstat.sh Private + Shared = RAM used Program 540.78 mb + 175.56 mb = 716.35 mb oracle(25) 24.50 mb + 327.00 kb = 24.82 mb iscsiuio 15.37 mb + 341.00 kb = 15.70

http://www.bogotobogo.com/cplusplus/CppCrashDebuggingMemoryLeak.php Incorrect Memory Usage and Corrupted Memory Here are the primary sources of the memory related problems. Using memory not initialized Using memory that we do not own Using more memor

小结: 1. conflicting access 2.性能危害 优化 The cost of race detection varies by program, but for a typical program, memory usage may increase by 5-10x and execution time by 2-20x. 3.典型案例与修复 Accidentally shared variable // ParallelWrite writes data to file1

Shell script for logging cpu and memory usage of a Linux process http://www.unix.com/shell-programming-and-scripting/223177-shell-script-logging-cpu-memory-usage-linux-process.html

That is because your web application has a memory leak. A common issue are "PermGen" memory leaks. They happen because the Classloader (and the Class objects it loaded) cannot be recycled unless some requirements are met (*). They are stored in

http://www.oracle.com/technetwork/java/javase/memleaks-137499.html 3.1 Meaning of OutOfMemoryError One common indication of a memory leak is the java.lang.OutOfMemoryError error. This error is thrown when there is insufficient space to allocate an ob

High Level Tips for Redis Most of Stream-Framework's users start out with Redis and eventually move to Cassandra because Redis becomes too expensive to host. Stream, our hosted API for building scalable newsfeeds & activity streams is also based on C

转载请标明出处:http://blog.csdn.net/lmj623565791/article/details/41087219,本文出自:[张鸿洋的博客] 1.概述 学习Android少不了模仿各种app的界面,自从微信6.0问世以后,就觉得微信切换时那个变色的Tab图标屌屌的,今天我就带大家自定义控件,带你变色变得飞起~~ 好了,下面先看下效果图: 清晰度不太好,大家凑合看~~有木有觉得这个颜色弱爆了了的,,,下面我动动手指给你换个颜色: 有没有这个颜色比较妖一点~~~好了~下面开始介绍

/** * 百度地图使用工具类-v1.5 * * @author boonya * @date 2013-7-7 * @address Chengdu,Sichuan,China * @email boonya@sina.com * @company KWT.Shenzhen.Inc.com * @notice 有些功能需要加入外部JS库才能使用,另外还需要申请地图JS key . * 申请地址:http://developer.baidu.com/map/apply-key.htm */ (f

5.1.MongoDB 用户管理 1.用户管理1.1.添加用户为 testdb 添加 tom 用户 use testdb db.createUser({user:"tom",pwd:"123",roles:[{ role:"dbAdmin",db:"testdb"}]}) 具体角色有read:允许用户读取指定数据库readWrite:允许用户读写指定数据库dbAdmin:允许用户在指定数据库中执行管理函数,如索引创建.删除,查

快充技术日新月异,快充市场百家争鸣的今天,高通QC快充依然主导着市场.如今QC快充已发展到第四代,每一代都有着革命性的进步.从QC1.0到QC4.0更新换代时间之短,不免让广大人民群众抱怨. “啥?老子QC3.0都没用上,QC4.0都出来了?高通爸爸威武.” 也正因为高通老司机踩着油门一骑绝尘,产品的迭代速度完全跟不上,使得搭载着QC1.0.QC2.0.QC3.0技术的产品同时在市场上流通.好比新版人民币发行,旧版人民币仍在流通尚可理解,还有人用康熙通宝就说不过去了吧!那么QC1.0到QC4.0

近期,由腾讯云联合韩国CUDO通信研究所及intel推出的tile方式的viewport流服务编码,已正式通过测试.届时韩国最新5G网络将基于腾讯明眸-极速高清2.0和腾讯云直播产品能力,在韩国国内率先开启韩国棒球联赛(Korean Baseball Organization,简称KBO)5G超高清(8K/16K)现场直播. 腾讯云技术优化,助力韩国赛事超高清5G直播 一般而言,棒球等体育类赛事场景对直播具有两大要求.一是要求直播需要拥有超大视野,以便向用户呈现整个赛场场景,因此超高清画面画质源

Grid Infrastructure oraagent.bin process using huge amount of memory and  forking huge number of threads. <GI_HOME>/log/<node>/agent/crsd/oraagent_grid/oraagent_grid.log 2014-02-12 08:08:10.132: [ USRTHRD][417280]{0:13:2} checkCrsStat 2 CLSCRS

本文是在宿主机Ubuntu16.04上拉取cuda10.1-cudnn7-ubuntu18.04的镜像,在容器中通过Miniconda3创建python3.7.5的环境并成功安装mindspore_gpu_1.0.1: 一.前期踩过的坑 二.安装成功的流程 [1]拉取cuda10.1-cudnn7-ubuntu18.04的镜像 [2]镜像内创建容器,此处一定是nvidia-docker创建 [3]在容器内安装Miniconda [4]使用conda创建python3.7.5的虚拟环境并激活 [5

https://www.quora.com/Why-does-flume-take-more-resource-CPU-when-file-channel-is-used-compared-to-when-memory-channel-is-used In case of File channel , the CPU would be used for the following Serializing/Deserializing Events from/to file channel . In

You can use Microsoft Platform SDK functions to get the heap size at a specific point. If get the heap size at point A in your code, and then again at point B, you can see how much it has grown. This might help you isolate here memory growth occurs.

kbmMW的更高版本包含越来越多的功能,可用于通常的日志记录,审计,运行期发生异常时的堆栈跟踪以及现在的内存使用调试.这些功能实际上可用于任何应用程序,不仅限于基于kbmMW开发的多层应用系统.我已经在kbmMW上写了一些关于日志记录和审计系统的文章,其中还介绍了如何在处理异常时的堆栈跟踪,最近新增加的功能是能够实时跟踪应用程序的每个内存分配.你可能会问,FastMM已经内置了内存泄漏检测,为什么还用kbmMW的内存调试器呢?FastMM仅跟踪通过常规GetMem等完成的内存分配,它不跟踪通过W