cwise_ops_commonyc8
yc8 com 时间:2021-03-02 阅读:(
)
FAQandTroubleshootingBitfusionGuideWHITEPAPER–OCTOBER2019WHITEPAPER|2Bitfusion:FAQandTroubleshootingTableofContentsCanIuseFlexDirectonmyownhardware3Whatismyperformancegoingtobelike3"YourkernelmaynothavebeenbuiltwithNUMAsupport"3Runningoutofmemoryerrors3Errorestablishingconnection:Cannotallocatememory3WorkingwithHTTP_PROXYsettings4CUDA9.
0"memoryoperationsarenotsupportedonthisdevice"4CUDA_ERROR_PEER_ACCESS_UNSUPPORTED5Utility,nvidia-smi,notrunning5ErrorMessage:couldnotfind=char5ErrorMessage:allCUDA-capabledevicesarebusyorunavailable5WHITEPAPER|3CanIuseFlexDirectonmyownhardwareYes,itcanbeusedbothon-premiseinyourdatacenteraswellinpubliccloudslikeAWS,Azure,etc.
WhatismyperformancegoingtobelikeGreatquestion,itreallydependsonthemodelandinstancesyouchoose.
Wedorecommendatleast10GbEnetworkingformostuse-cases.
High-speedfabricssuchasInfinibandandthosewithRDMAsupportwillbenecessaryformulti-serverscenarios.
Thebestthingtodoistotestitoutyourselfandcontactusifyouwantustodivedeeperwithyou.
"YourkernelmaynothavebeenbuiltwithNUMAsupport"WhenrunningwithFlexDirectyoumayseethewarningmessage,"YourkernelmaynothavebeenbuiltwithNUMAsupport.
".
ThesemessageshavenoimpactonperformanceoraccuracyofTensorFlowresults.
TheyarecausedbyTensorFlowlookingforhardwarepropertiesthoughsysfs,and,ofcourse,suchinformationwillnotbeavailableonaCPUnodebecauseitisusingnetwork-attachedGPUs.
TheFlexDirectruntimeperformancebenefitsfromNUMAoptimizationswhenappropriate,soyoucansafelyignorethesewarnings.
RunningoutofmemoryerrorsWhenrunninglargemodelsorbatchsizes,frameworkssuchasTensorFlowcanreportoutofmemoryerrors:TextTextWtensorflow/core/common_runtime/gpu/gpu_bfc_allocator.
cc:211]Ranoutofmemorytryingtoallocate877.
38MiB.
SeelogsformemorystateWtensorflow/core/kernels/cwise_ops_common.
cc:56]Resourceexhausted:OOMwhenallocatingtensorwithshape[10000,23000]$ulimit-n4096#or$ulimit-nunlimitedThesearelegitimateerrors.
TheapplicationrequiresmorememorythanyouhaveassignedorisavailablefromtheGPUs.
Avoidingtheseissuescanbeacombinationofoneormorestrategies:ReducebatchsizeUsealargerGPUsizeIncreasemodelparallelismbysplittingyourmodelintosmallerchunksErrorestablishingconnection:CannotallocatememoryThiserrorcanoccurifthesystemhasaresourcelimitthatistoorestrictive.
Toavoidthisissueincreasethenumberofopenfilesallowedwiththeulimitcommand.
WHITEPAPER|4WorkingwithHTTP_PROXYsettingsBydefault,thehttp_proxyandhttps_proxyenvironmentvariablesarenothonoredbyFlexDirectforcommunicationsbetweentheclientandserver(s).
Thisisbydesign,asin-clusternetworkingperformancecanpotentiallybereducedbywebproxies.
ToforceFlexDirecttousethesystem'sproxysettings,usetheBF_USE_PROXYenvironmentvariableeitherinyourstartupscriptsorpriortolaunchinganyserverorclient:TextTextText$exportBF_USE_PROXY=1$sudormmodnvidianvidia_uvmnvidia_drmnvidia_modeset$sudomodprobenvidiaNVreg_EnableStreamMemOPs=1$psauxf#Examineprocessand,forexample,notethat"lightdm"isrunning,whichusestheGPU$sudokill#Or$sudosystemctlstop//e.
g.
lightdmCUDA9.
0"memoryoperationsarenotsupportedonthisdevice"CUDA9.
0,asofJanuary24,2018,disablesbatchmemoryoperationsbydefaultasanerrata.
TheseoperationsaremainlyusedforGPUDirect-enabledapplications.
Thus,itisrecommendedtoenablethissettingforbestresults.
Tore-enable,removeallNVIDIAmodulesandre-installwiththeNVreg_EnableStreamMemOPsparameterenabled:Sometimes,amodulecannotberemovedbecauseanotherapplicationisusingit.
Itcanbedifficulttodeterminewhatthespecificapplicationis.
Youmayneedtomanuallyexaminethelistofrunningprocessesandkilllikelycandidates.
TheremaydesktoporgraphicalservicesrunningaknownserviceoftenfoundinVMwareenvironmentsislightdm.
Dosomeexplorationtofindwhichapplicationisresponsible.
Desktoporothergraphicalservicesandapplicationsaregoodcandidates.
Youcanseeeverythingthatisrunningwith:Thentryagaintouninstall-reinstallthenvidiamodule.
WHITEPAPER|5CUDA_ERROR_PEER_ACCESS_UNSUPPORTEDTensorFlowmayemitanerror,CUDA_ERROR_PEER_ACCESS_UNSUPPORTED,whenitfindsGPUpairsnotconnectedbythePCIeandsystemtopology.
Youmayignoretheseerrors.
ThejobofFlexDirectvirtualizationistohandlethenecessarycommunicationviathenetwork(e.
g.
,ethernetofInfiniBand).
Anexampleoftheerrormessageishere:2018-09-0520:42:10.
049855:Wtensorflow/core/common_runtime/gpu/gpu_device.
cc:1331]Unabletoenablepeeraccessbetweendeviceordinals0and6,status:Internal:failedtoenablepeeraccessfrom0x55ef97c9fef0to0x55ef97cb2520:CUDA_ERROR_PEER_ACCESS_UNSUPPORTEDUtility,nvidia-smi,notrunningtheNvidiautility,nvidia-smi,isreleasedwiththeNvidiadriver.
Theutilityisoftenupdatedaswellasthedriver.
Anoldernvidia-smimaynotworkwithalaterdriver.
Forexample,theversionofnvidia-smithatcomeswiththe410driverversion,doesnotworkwithdriverversion418.
Errormessage:couldnotfind=charThiserrormessageissometimesseennearthebeginningoftheFlexDirectoutput.
Itmaybeignored.
Itmayberepeatedseveraltimes:couldnotfind=charcouldnotfind=charcouldnotfind=charcouldnotfind=charUltimatelyitcomesfromathird-partylibrary,ibverbs.
ThebestwaytopreventunnecessaryoccurancesistoconfigureFlexDirecttoexploreanduseonlythenetworkinterfacesandtransportmechanismsyouwantittouse.
ThiscanbeconfiguredisdocumentedunderAdvancedNetworkingConfiguration.
ErrorMessage:allCUDA-capabledevicesarebusyorunavailableIfyourattempttorunmultipleapplicationsonaGPUfails(orallbutoneoftheapplicationsfail)withanerrormessagesuchas,Cudafailurep2pBandwidthLatencyTest.
cu:68:'allCUDA-capabledevicesarebusyorunavailable',thenchangetheNVIDIAGPUcomputemodesettingfrom"Exclusive"to"Default.
"sudonvidia-smi-c0ComputeMode:DefaultThe"Default"modeallowsGPUsharing.
Youcanseethecurrentcomputemodewithnvidia-smi-a(alongwithalotofotherinformation),e.
g.
,VMware,Inc.
3401HillviewAvenuePaloAltoCA94304USATel877-486-9273Fax650-427-5001vmware.
comCopyright2019VMware,Inc.
Allrightsreserved.
ThisproductisprotectedbyU.
S.
andinternationalcopyrightandintellectualpropertylaws.
VMwareproductsarecoveredbyoneormorepatentslistedatvmware.
com/go/patents.
VMwareisaregisteredtrademarkortrademarkofVMware,Inc.
anditssubsidiariesintheUnitedStatesandotherjurisdictions.
Allothermarksandnamesmentionedhereinmaybetrademarksoftheirrespectivecompanies.
ItemNo:VMW-0518-1843_VMW_CPBUTechnicalWhitePapers_BitfusionDocs_10FAQandTroubleshooting_1.
2_YC8/19
ihostart怎么样?ihostart是一家国外新商家,主要提供cPanel主机、KVM VPS、大硬盘存储VPS和独立服务器,数据中心位于罗马尼亚,官方明确说明无视DMCA,对版权内容较为宽松。有需要的可以关注一下。目前,iHostART给出了罗马尼亚vps的优惠信息,罗马尼亚VPS无视DMCA、抗投诉vps/2核4G内存/40GB SSD/100M端口月流量2TB,€20/年。点击直达:ih...
ThomasHost域名注册自2012年,部落最早分享始于2016年,还算成立了有几年了,商家提供基于KVM架构的VPS,数据中心包括美国、法国、英国、加拿大和爱尔兰等6个地区机房,VPS主机套餐最低2GB内存起步,支持Windows或者Linux操作系统,1Gbps端口不限制流量。最近商家提供了一个5折优惠码,优惠后最低套餐月付5美元起。下面列出部分套餐配置信息。CPU:1core内存:2GB硬...
第一、香港服务器机房这里我们可以看到有提供四个大带宽方案,是全向带宽和国际带宽,前者适合除了中国大陆地区的全网地区用户可以用,后者国际带宽适合欧美地区业务。如果我们是需要大陆地区速度CN2优化的,那就需要选择常规的优化带宽方案,参考这里。CPU内存硬盘带宽流量价格选择E3-12308GB240GB SSD50M全向带宽不限999元/月方案选择E3-12308GB240GB SSD100M国际带宽不...
yc8 com为你推荐
百度k站百度是怎么样k站的呢?站长故事爱迪生的故事51自学网站有哪些免费自学网湖南商标注册湖南长沙怎么注册商标不兼容WIN7 64位系统与某些软件不兼容怎么办?中小企业信息化中小企业如何进行企业信息化规划怎么点亮qq空间图标如何点亮QQ空间图标电子商务网站模板电子商务网站模板有免费的吗?电子商务网站模板哪里有?电子商务网站模板怎么找?分词技术百度的中文分词原理是什么?与IK分词有区别吗?php购物车php做购物车需要用到哪些技术,这些技术怎么实现
云主机租用 域名系统 金万维动态域名 企业主机 arvixe 抢票工具 789电视网 东莞数据中心 流媒体加速 服务器硬件防火墙 如何建立邮箱 360云服务 空间首页登陆 免费的asp空间 什么是web服务器 电信网络测速器 贵阳电信测速 重庆联通服务器托管 免费网站加速 带宽测速 更多