uml.org.cn - ????TensorFlow?ڲ?ʵ??ԭ??
从系统和代码实现角度解析TensorFlow的内部实现原理-人工智能-火龙果软件









Search Preview

从系统和代码实现角度解析TensorFlow的内部实现原理-人工智能-火龙果软件

uml.org.cn
body { margin: 0px;padding:0 } #div1 { display: none; position: absolute; z-index: 1000; height: 100%; width: 100%; backgrou
.cn > uml.org.cn

SEO audit: Content analysis

Language Error! No language localisation is found.
Title 从系统和代码实现角度解析TensorFlow的内部实现原理-人工智能-火龙果软件
Text / HTML ratio 46 %
Frame Excellent! The website does not use iFrame solutions.
Flash Excellent! The website does not have any flash contents.
Keywords cloud
Keywords consistency
Keyword Content Title Description Headings
Headings Error! The website does not use (H) tags.
Images We found 62 images on this web page.

SEO Keywords (Single)

Keyword Occurrence Density

SEO Keywords (Two Word)

Keyword Occurrence Density

SEO Keywords (Three Word)

Keyword Occurrence Density Possible Spam

SEO Keywords (Four Word)

Keyword Occurrence Density Possible Spam

Internal links in - uml.org.cn

????
文章-火龙果软件工程
iProcess
iProcess--火龙果软件工程技术中心
?ֲ?ʽϵͳ?еĻ????ܹ?
一文深入了解：分布式系统中的缓存架构-数据库
BitbucketPipeline+AmazonS3
基于 Bitbucket Pipeline + Amazon S3 的自动化运维体系-IT运维管理
΢??΢???????ؿ???ϵͳ
DAGOR：微信微服务过载控制系统-移动端开发
???ݿ?
数据库-火龙果软件工程
IT??ά????
IT运维管理-火龙果软件工程
΢????
微服务-火龙果软件工程
????vuex??״̬????ģʽ?ܹ?
理解vuex的状态管理模式架构
TensorFlow??????????NLP
运用TensorFlow处理简单的NLP问题-人工智能-火龙果软件
web????
JavaScript-火龙果软件工程
?˹?????
人工智能-火龙果软件工程
????TensorFlow?ڲ?ʵ??ԭ??
从系统和代码实现角度解析TensorFlow的内部实现原理-人工智能-火龙果软件
ʹ??IPython??ǿ????ʽ????
使用IPython增强交互式体验-Python
?????Ͳ?????????????Ӧ??
在 IBM Cloud 上创建和部署区块链聊天应用
python
python-火龙果软件工程
?Ƽ???
云计算-火龙果软件工程
VUE.JS??????????ʵ??
VUE.JS组件化开发实践
???????ɵ?·????C++???߳̿???
瑞萨C++多线程开发培训-火龙果软件
?й????Ų?Ʒ????
产品经理产品管理培训| 产品经理培训
ծȯ???ۻ??? ʹ??Selenium?????Զ???
使用Selenium进行有效的自动化测试-火龙果软件-UML软件工程组织
????֤ȯ?߿????ƶ???̨?ܹ?????
高可用架构培训|软件架构培训-火龙果软件
E2Biz ????UML+EA ҵ????ϵͳ??ģ
基于UML+EA进行嵌入式系统分析设计培训-火龙果软件-UML软件工程组织
???Ź???????????ѵ
工作量估算管理培训-火龙果软件
????
培训案例-火龙果软件
??ΰ?? ͨ????????֤???????ܹ?ʦ
软件架构师认证|软件架构师培训-火龙果软件
???? ͨ????????֤???????ܹ?ʦ
软件架构师认证|软件架构师培训-火龙果软件
??ѧ?? ͨ????????֤???????ܹ?ʦ
软件架构师认证|软件架构培训-火龙果软件
???? ͨ????????֤???????ܹ?ʦ
软件架构师认证|软件架构师培训-火龙果软件
Githubʹ?ÿ???????
Github使用快速上手-配置管理
?? Vuex ????һ???ʼ?Ӧ??
用 Vuex 构建一个笔记应用 -web开发
???ù???
配置管理-火龙果软件工程
????matplotlib?????ݿ??ӻ?
基于matplotlib的数据可视化 -Python
OnlineLearning?㷨??????ʵ??
Online Learning算法理论与实践-火龙果软件
????
每月技术月刊--UML软件工程组织
????????
火龙果软件工程技术中心
??ϵ????
联系我们-UML软件工程组织

Uml.org.cn Spined HTML

ϵͳʹʵֽǶȽTensorFlowڲʵԭ-˹- Ծ֧ǵĹҵ 1Ԫ 10Ԫ 50Ԫ ֤룺     ֪ Ŀ Lib Ƶ Code iProcess γ ֤ ѯ   ɳ֮·   Ա          Ҫ      ÿ15ƪ ı ׷                 ϵͳʹʵֽǶȽTensorFlowڲʵԭ   140     ۣ    2018-11-29    ༭Ƽ: leiphone.comdzIJTensorFlowĸȽTensorFlowĺĸͻȻOpKernelsģ顢Graphģ顢Sessionģ顣 ժҪ 2015119գGoogleѧϰTensorFlowԴѸٵõ㷺עͼηࡢƵƼϵͳȻԴȳ¶ƹ㡣TensorFlowϵͳ¿٣ٷĵ̳ȫֿҼã֧PythonC++ӿڡݶTensorflowTFƤ[1]TF Github[2]TFٷ̳[3]⣬ϵͳʹʵֽǶȽTFڲʵԭTensorflow r0.8.0Ϊ. 1. TFϵͳܹ 1.1 TFͼ TFͼͼ1ʾ[4]TFιϵ ͼ 1 TensorFlowͼ TFйgithubƽ̨google groupscontributorsͬά TFṩ˷ḻѧϰصAPI֧PythonC/C++ӿڡ TFṩ˿ӻTensorboard͵ģ͡ TF֧Linuxƽ̨Windowsƽ̨Macƽֻ̨ƶ豸ȸƽ̨ 1.2 TFϵͳܹ ͼ2TFϵͳܹӵϷΪ豸ͨŲ㡢ݲ㡢ͼ㡢APIӿڲ㡢Ӧò㡣豸ͨŲ㡢ݲ㡢ͼTFĺIJ㡣 ͼ2 TFϵͳܹ ײ豸ͨŲ㸺ͨź豸豸ʵTF豸칹ԣ֧CPUGPUMobileȲͬ豸ͨgRPCͨЭʵֲͬ豸ݴ͸¡ ڶTensorOpKernelsʵ֡ЩOpKernelsTensorΪͨź豸ڴ䣬ʵ˸Tensor㡣OpkernelsMatMulȼQueueȷǼЩڵ5Kernelsģϸܡ ͼ㣨Graphؼͼͷֲʽͼʵ֡GraphģGraphĴ롢ŻִеȲ֣Graphÿڵ㶼OpKernelsͱʾͼ㽫ڵ6Graphģϸܡ IJAPIӿڲ㡣Tensor C APIǶTFģĽӿڷװƽ̨á IJӦò㡣ͬӦòͨAPIӿڲTFĹʵʵӦá 1.3 TFĿ¼֯ ͼ3 TFĿ¼֯ṹ Tensorflow/coreĿ¼TFģ롣 public: APIӿͷļĿ¼ⲿӿڵõAPI壬Ҫsession.h tensor_c_api.h client: APIӿʵļĿ¼ platform: OSϵͳؽӿļfile system, envȡ protobuf: Ϊ.protoļݴʱĽṹл. common_runtime: п⣬session, executor, threadpool, rendezvous, memory, 豸㷨ȡ distributed_runtime: ֲʽִģ飬rpc session, rpc master, rpc worker, graph manager framework: ģ飬log, memory, tensor graph: ͼزconstruct, partition, optimize, execute kernels: Opmatmul, conv2d, argmax, batch_norm lib: ⣬gifgtl(googleģ)hashhistogramȡ ops: ops㣬opsݶ㣬ioصops Tensorflow/stream_executorĿ¼Dzмܣgoogle stream executorŶӿ Tensorflow/contribĿ¼contributorĿ¼ Tensroflow/pythonĿ¼python APIͻ˽ű Tensorflow/tensorboardĿ¼ǿӻߣģͿӻԼģͲ仯 third_partyĿ¼TF⡣ eigen3: eigen⣬TFops gpus: װcuda/cudnn̿ 2. TFĸ TFĺΧGraphչģ֮TensorGraphݱհFlowĹ̡ڽGraph֮ǰҪһ·ű̡ͼݶȼ㡢ĸ 2.1 Tensor ѧϣMatrixʾάӳ䣬Tensorʾάӳ䣬TensorǶMatrixķԱʾ1-dim2-dimN-dimĸάռ䡣ͼ4Ա˾˷Matrix ProductTensor ContractԿTensorķTFMatMulConv2Dжõ ͼ4 Tensor contract TensorڸάռѧMatrix㸴ӣҲdz󣬼TFȿǵ⣬add, contract, slice, reshape, reduce, shuffle㡣 TFTensorάΪףֵ0ף1ף2ףԴƣԱʾn׸άݡ TFTensorֵ֧кܶ࣬tf.float16, tf.float32, tf.float64, tf.uint8, tf.int8, tf.int16, tf.int32, tf.int64, tf.string, tf.bool, tf.complex64ȣTensor㶼ʹ÷ͱʾ TFTensorҪǵEigenɵġTFTensorUMLͼ4TensorBufferָָEigen::Tensor͡УEigen::Tensor[5][6]EigenٷάijɹṩĵάTensorEigen unsupportedģС ͼ5 Tensorݽṹ ͼ5УTensorҪm_datam_dimensionm_dataTensorݿ飬TǷͣm_dimensionsTensorάϢ Eigen:TensorijԱܼ򵥣ȴַ֧dzĻ㣬ٽEigenļٻʵֿټ㣬ο½3.2Eigen::TensorҪ һԪ㣨Unarysqrtsquareexpabsȡ Ԫ㣨Binaryaddsubmuldiv ѡ㣨Selectionif / else 㣨Reducereduce_sum reduce_mean 㣨Geometryreshapesliceshufflechipreversepadconcatenateextract_patchesextract_image_patches Contract;㣨Convolveص㣬ϸ⡣ 2.2 ű ģʽͨΪʽ̣imperative style programsͷʽ̣symbolic style programs ʽ͵ԣûŻԭ߼ִСʽ漰϶ǶŻ͵ԣٶͬ ֱģʽʵжӦãTorchǵ͵ʽcaffetheanomxnetTensorflowʹ˷ʽ̡caffemxnetֱģʽϵķTensorflowȫ˷ʽ̣TheanoTensorflowıģʽ ʽdzıģʽpython/C++ʽ̡ʽȷݳ߼㣬ģʽdzڵԳʱе٣м˵A=10, B=10߼ ϵͳʹʵֽǶȽTensorFlowڲʵԭ | һóC=100ڶóD=101D=101 ʽ̳̽ΪͼͼԷ̣ڵ㡢ڵ㡢ڵŻͼͨڵ㵽ڵĴݱհڵŴݱհֱֵﵽڵ㡣̾ͼŻݣ㣩ʽɣʡڴռʹãٶȿ죬ʺϳԣͨڱСӣȸݼ߼дʽɼͼ ABűCDűcompileɼͼFͼ6ʾ ϵͳʹʵֽǶȽTensorFlowڲʵԭ | ͼ6 ű̵ͼ õA=10, B=10ʱDֵDԸCڴռ䣬ʡȥмĿռ洢 ͼ 6TFеļͼC=F(Relu(Add(MatMul(W, x), b)))ÿڵ㶼ǷŻʾġͨsessiongraphڵsession.runִм㡣 ͼ7 TFżͼ ĿǰķԱTFصǿͼmutationĸһTFͰTheanoڵķű̿IJͬνmutationǿڼĹ̸һֵڼĹлᱻ뵽һֵȥ MutationǻѧϰŻ㷨ҪĶȻҲͨimmutable replacement棬ǻЧʵ⣩ Theanoupdate statementmutationTFѡ˴ż·ߣֱӰѸͼȥĿǰİƤ鿴֧ѭͼTFΪһŶԡһᵼAPIƺʹҪرСģmutation 뵽ͼлһЩµ⣬δдд֮[7] 2.3 ݶȼ ݶȼҪӦ򴫲ݸ£ѧϰƽ̨Ҫĺ⡣ݶȼ漰ÿڵ㣬ÿԶǰͼһʽķͼϿͼݴڵ㵽ڵ̣ͼݴڵ㵽ڵ̡ ͼ82.2ͼ6ӦķͼͼУC=A*BdA=B*dC, dB=A*dCڷͼУڵdDڵdAdBʽΪdA=B*dC=B*dD, dB=A*dC=A*dDÿһڵӦһʽݶȼڵ㡣 ͼ8 ű̵ķͼ ˷űڴռ临õƣΪеļڷҲҪõһϽȵļڵϸȵļڵƣTF󲿷ΪϸȲȻԺǿϸȲ漰ŻڹʵϿϴ󣬲ȼֱӡģУTF𲽲ش㡣 2.4 TFļͼͬһʾ̣ͼ9ͼԺܺõı̣ΪչTFıTF ͼ9 Graph ڱУifelse߼ƣTFҲַͨʽ򡣽ӿں£predΪбʽfn1fn2ΪʽpredΪtrueǣִfn1predΪfalseʱִfn2 TFЭڴڵij·dzãڵBҪȡģͲȸºֵڵA²ȣڵBȽڵAɺִУȡIJΪǰֵʱҪһӿں£tf.control_dependenciesԿƶִɺִнIJͨtf.groupʹá TFֵ֧ĿSwitchMergeEnterLeaveNextIterationȡ TF֧߼ƣ֧ѭơTFʹúMIT Token-Tagged machineƵıʾϵͳѭÿεΪһtagִ״̬Ϊһframe׼õʱ򣬾ͿԿʼ㣬ӶͬʱִС     140  :   Ǹݿ ݿƾ̸ ݿƹ ݿܽ   ĵ ݿܵż ݿܵ ݿŻ ݿϵͳܵϵ ؿγ ݿŻ ߼ݿܹʦ ݲֿھ Hadoopԭܵ   APPƹ֮ù߽ݷ Hadoop Hivesql﷨ Ӧö༶ģʽ֧ź HBase ϸ HBaseϸ Spark̬Դ ...    ѵγ HadoopSparkݼܹ Hadoopԭ߼ʵ HadoopԭӦŻ ϵӦ ݵļʵ Sparkݴ γ...    ɹ GE ʵѵ ƹijӹ˾ Nodejs߼Ӧÿ ʢ滪 ׿Խ߱߱ ijϢ˾ Pythonѵ ijITϵͳ Բ йʴ Գģͼ(TMMI) Ժ ƷƷ ...          ÿ2ĵ/Ƶ ɨ΢Ŷά붩 ļ¿ ÿ300Դ     | ϵ | ICP10020922 110108001071