-
Run Distributed Training¶
-In this article, we explain how to run distributed Paddle training jobs on clusters. We will create the distributed version of the single-process training example, recommendation.
-Scripts used in this article launch distributed jobs via SSH. They also work as a reference for users running more sophisticated cluster management systems like MPI and Kubernetes.
-
-
Prerequisite¶
--
-
Aforementioned scripts use a Python library fabric to run SSH commands. We can use
-pipto install fabric:+-pip install fabric -
++PaddlePaddle Distributed Training¶
+-
+
- Introduction +
- Preparations +
- Command-line arguments -
We need to install PaddlePaddle on all nodes in the cluster. To enable GPUs, we need to install CUDA in
+/usr/local/cuda; otherwise Paddle would report errors at runtime.- Use cluster platforms or cluster management tools
-
+
- Cluster Training Using Fabric -
Set the
+ROOT_DIRvariable in [cluster_train/conf.py] on all nodes. For convenience, we often create a Unix userpaddleon all nodes and setROOT_DIR=/home/paddle. In this way, we can write public SSH keys into/home/paddle/.ssh/authorized_keysso that userpaddlecan SSH to all nodes without password.- Cluster Training Using OpenMPI + +
- Cluster Training Using Kubernetes +
+
++Introduction¶
+In this article, we’ll explain how to run distributed training jobs with PaddlePaddle on different types of clusters. The diagram below shows the main architecture of a distributed trainning job:
+
+
-
+
- Data shard: training data will be split into multiple partitions, trainers use the partitions of the whole dataset to do the training job. +
- Trainer: each trainer reads the data shard, and train the neural network. Then the trainer will upload calculated “gradients” to parameter servers, and wait for parameters to be optimized on the parameter server side. When that finishes, the trainer download optimized parameters and continues its training. +
- Parameter server: every parameter server stores part of the whole neural network model data. They will do optimization calculations when gradients are uploaded from trainers, and then send updated parameters to trainers. +
PaddlePaddle can support both synchronize stochastic gradient descent (SGD) and asynchronous SGD.
+When training with synchronize SGD, PaddlePaddle uses an internal “synchronize barrier” which makes gradients update and parameter download in strict order. On the other hand, asynchronous SGD won’t wait for all trainers to finish upload at a single step, this will increase the parallelism of distributed training: parameter servers do not depend on each other, they’ll do parameter optimization concurrently. Parameter servers will not wait for trainers, so trainers will also do their work concurrently. But asynchronous SGD will introduce more randomness and noises in the gradient.
+++Preparations¶
+-
+
- Prepare your computer cluster. It’s normally a bunch of Linux servers connected by LAN. Each server will be assigned a unique IP address. The computers in the cluster can be called “nodes”. +
- Install PaddlePaddle on every node. If you are going to take advantage of GPU cards, you’ll also need to install proper driver and CUDA libraries. To install PaddlePaddle please read this build and install document. We strongly recommend using Docker installation.
After installation, you can check the version by typing the below command (run a docker container if using docker:
+docker run -it paddlepaddle/paddle:[tag] /bin/bash):++$ paddle version +PaddlePaddle 0.10.0rc, compiled with + with_avx: ON + with_gpu: OFF + with_double: OFF + with_python: ON + with_rdma: OFF + with_timer: OFF +We’ll take
+doc/howto/usage/cluster/src/word2vecas an example to introduce distributed training using PaddlePaddle v2 API.+Command-line arguments¶
+++Starting parameter server¶
+Type the below command to start a parameter server which will wait for trainers to connect:
+++$ paddle pserver --port=7164 --ports_num=1 --ports_num_for_sparse=1 --num_gradient_servers=1 +
If you wish to run parameter servers in background, and save a log file, you can type:
+++$ stdbuf -oL /usr/bin/nohup paddle pserver --port=7164 --ports_num=1 --ports_num_for_sparse=1 --num_gradient_servers=1 &> pserver.log +
| param | required | default | description | +| ————- | ————- | ————- | ————- | +| port | required | 7164 | port which parameter server will listen on. If ports_num greater than 1, parameter server will listen on multiple ports for more network throughput | +| ports_num | required | 1 | total number of ports will listen on | +| ports_num_for_sparse | required | 1 | number of ports which serves sparse parameter update | +| num_gradient_servers | required | 1 | total number of gradient servers |
++-Starting trainer¶
+Type the command below to start the trainer(name the file whatever you want, like “train.py”)
+++$ python train.py +
Trainers’ network need to be connected with parameter servers’ network to finish the job. Trainers need to know port and IPs to locate parameter servers. You can pass arguments to trainers through environment variables or pass to
+paddle.init()function. Arguments passed to thepaddle.init()function will overwrite environment variables.Use environment viriables:
+++export PADDLE_INIT_USE_GPU=False +export PADDLE_INIT_TRAINER_COUNT=1 +export PADDLE_INIT_PORT=7164 +export PADDLE_INIT_PORTS_NUM=1 +export PADDLE_INIT_PORTS_NUM_FOR_SPARSE=1 +export PADDLE_INIT_NUM_GRADIENT_SERVERS=1 +export PADDLE_INIT_TRAINER_ID=0 +export PADDLE_INIT_PSERVERS=127.0.0.1 +python train.py +
Pass arguments:
+++paddle.init( + use_gpu=False, + trainer_count=1, + port=7164, + ports_num=1, + ports_num_for_sparse=1, + num_gradient_servers=1, + trainer_id=0, + pservers="127.0.0.1") +
| param | required | default | description | +| ————- | ————- | ————- | ————- | +| use_gpu | optional | False | set to “True” to enable GPU training | +| trainer_count | required | 1 | total count of trainers in the training job | +| port | required | 7164 | port to connect to parameter server | +| ports_num | required | 1 | number of ports for communication | +| ports_num_for_sparse | required | 1 | number of ports for sparse type caculation | +| num_gradient_servers | required | 1 | total number of gradient server | +| trainer_id | required | 0 | ID for every trainer, start from 0 | +| pservers | required | 127.0.0.1 | list of IPs of parameter servers, separated by ”,” |
-Prepare Job Workspace¶
-We refer to the directory where we put dependent libraries, config files, etc., as workspace.
-These
-train/testdata should be prepared before launching cluster job. To satisfy the requirement that train/test data are placed in different directory from workspace, PADDLE refers train/test data according to index file named astrain.list/test.listwhich are used in model config file. So the train/test data also contains train.list/test.list two list file. All local training demo already provides scripts to help you create these two files, and all nodes in cluster job will handle files with same logical code in normal condition.Generally, you can use same model file from local training for cluster training. What you should have in mind that, the
-batch_sizeset insettingfunction in model file means batch size ineachnode of cluster job instead of total batch size if synchronization SGD was used.Following steps are based on demo/recommendation demo in demo directory.
-You just go through demo/recommendation tutorial doc until
-Trainsection, and at last you will get train/test data and model configuration file. Finaly, just use demo/recommendation as workspace for cluster training.At last your workspace should look like as follow:
+++Prepare Training Dataset¶
+Here’s some example code prepare.py, it will download public
+imikolovdataset and split it into multiple files according to job parallelism(trainers count). ModifySPLIT_COUNTat the begining ofprepare.pyto change the count of output files.In the real world, we often use
+MapReducejob’s output as training data, so there will be lots of files. You can usemodto assign training file to trainers:++import os +train_list = [] +flist = os.listdir("/train_data/") +for f in flist: + suffix = int(f.split("-")[1]) + if suffix % TRAINER_COUNT == TRAINER_ID: + train_list.append(f) +
Example code
+prepare.pywill split training data and testing data into 3 files with digital suffix like-00000,-00001and-00002:++train.txt +train.txt-00000 +train.txt-00001 +train.txt-00002 +test.txt +test.txt-00000 +test.txt-00001 +test.txt-00002 +
When job started, every trainer needs to get it’s own part of data. In some distributed systems a storage service will be provided, so the date under that path can be accessed by all the trainer nodes. Without the storage service, you must copy the training data to each trainer node.
+Different training jobs may have different data format and
+reader()function, developers may need to write different data prepare scripts andreader()functions for their job.+-Prepare Training program¶
+We’ll create a workspace directory on each node, storing your training program, dependencies, mounted or downloaded dataset directory.
+Your workspace may looks like:
-. -|-- common_utils.py -|-- data -| |-- config.json -| |-- config_generator.py -| |-- meta.bin -| |-- meta_config.json -| |-- meta_generator.py -| |-- ml-1m -| |-- ml_data.sh -| |-- ratings.dat.test -| |-- ratings.dat.train -| |-- split.py -| |-- test.list -| `-- train.list -|-- dataprovider.py -|-- evaluate.sh -|-- prediction.py -|-- preprocess.sh -|-- requirements.txt -|-- run.sh -`-- trainer_config.py +|-- my_lib.py +|-- word_dict.pickle +|-- train.py +|-- train_data_dir/ +| |-- train.txt-00000 +| |-- train.txt-00001 +| |-- train.txt-00002 +`-- test_data_dir/ + |-- test.txt-00000 + |-- test.txt-00001 + `-- test.txt-00002
Not all of these files are needed for cluster training, but it’s not necessary to remove useless files.
-
-trainer_config.py-Indicates the model config file.
-train.listandtest.list-File index. It stores all relative or absolute file paths of all train/test data at current node.
-dataprovider.py-used to read train/test samples. It’s same as local training.
-data-all files in data directory are refered by train.list/test.list which are refered by data provider.-Prepare Cluster Job Configuration¶
-The options below must be carefully set in cluster_train/conf.py
-
-HOSTSall nodes hostname or ip that will run cluster job. You can also append user and ssh port with hostname, such as root@192.168.100.17:9090.
-ROOT_DIRworkspace ROOT directory for placing JOB workspace directory
-PADDLE_NICthe NIC(Network Interface Card) interface name for cluster communication channel, such as eth0 for ethternet, ib0 for infiniband.
-PADDLE_PORTport number for cluster commnunication channel
-PADDLE_PORTS_NUMthe number of port used for cluster communication channle. if the number of cluster nodes is small(less than 5~6nodes), recommend you set it to larger, such as 2 ~ 8, for better network performance.
-PADDLE_PORTS_NUM_FOR_SPARSEthe number of port used for sparse updater cluster commnunication channel. if sparse remote update is used, set it likePADDLE_PORTS_NUM
-LD_LIBRARY_PATHset addtional LD_LIBRARY_PATH for cluster job. You can use it to set CUDA libraries path.Default Configuration as follow:
-++HOSTS = [ - "root@192.168.100.17", - "root@192.168.100.18", - ] - -''' -workspace configuration -''' - -#root dir for workspace -ROOT_DIR = "/home/paddle" - -''' -network configuration -''' -#pserver nics -PADDLE_NIC = "eth0" -#pserver port -PADDLE_PORT = 7164 -#pserver ports num -PADDLE_PORTS_NUM = 2 -#pserver sparse ports num -PADDLE_PORTS_NUM_FOR_SPARSE = 2 - -#environments setting for all processes in cluster job -LD_LIBRARY_PATH="/usr/local/cuda/lib64:/usr/lib64" +
-
+
+my_lib.py: user defined libraries, like PIL libs. This is optional.
+
+word_dict.pickle: dict file for training word embeding.
+
+train.py: training program. Sample code: api_train_v2_cluster.py. NOTE: You may need to modify the head part oftrain.pywhen using different cluster platform to retrive configuration environment variables:+cluster_train_file = "./train_data_dir/train/train.txt" +cluster_test_file = "./test_data_dir/test/test.txt" +node_id = os.getenv("OMPI_COMM_WORLD_RANK") +if not node_id: + raise EnvironmentError("must provied OMPI_COMM_WORLD_RANK")
+
+train_data_dir: containing training data. Mount from storage service or copy trainning data to here.
+
+test_data_dir: containing testing data.
+
+Use cluster platforms or cluster management tools¶
+PaddlePaddle supports running jobs on several platforms including:
+-
+
- Kubernetes open-source system for automating deployment, scaling, and management of containerized applications from Google. +
- OpenMPI Mature high performance parallel computing framework. +
- Fabric A cluster management tool. Write scripts to submit jobs or manage the cluster. +
We’ll introduce cluster job management on these platforms. The examples can be found under cluster_train_v2.
+These cluster platforms provide API or environment variables for training processes, when the job is dispatched to different nodes. Like node ID, IP or total number of nodes etc.
++diff --git a/develop/doc/howto/usage/cmd_parameter/arguments_en.html b/develop/doc/howto/usage/cmd_parameter/arguments_en.html index c3180560ffc25fc0c3badd6c638842f86002edfc..e964b07b467f6b72410d3072e89f8a919bb8eb22 100644 --- a/develop/doc/howto/usage/cmd_parameter/arguments_en.html +++ b/develop/doc/howto/usage/cmd_parameter/arguments_en.html @@ -123,7 +123,11 @@Cluster Training Using Fabric¶
++Prepare a Linux cluster¶
+Run
+kubectl -f ssh_servers.yamlunder the directory:paddle/scripts/cluster_train_v2/fabric/docker_clusterwill launch a demo cluster. Runkubectl get po -o wideto get IP addresses of these nodes.+Launching Cluster Job¶
-
+paddle.pyprovides automatical scripts to start all PaddlePaddle cluster processes in different nodes. By default, all command line options can set aspaddle.pycommand options andpaddle.pywill transparently and automatically set these options to PaddlePaddle lower level processes.paddle.pyprovides automatical scripts to start all PaddlePaddle cluster processes in different nodes. By default, all command line options can be set aspaddle.pycommand options andpaddle.pywill transparently and automatically set these options to PaddlePaddle lower level processes.
-paddle.pyprovides two distinguished command option for easy job launching.
+job_dispatch_packageset it with localworkspacedirectory, it will be dispatched to all nodes set in conf.py. It could be helpful for frequent hacking workspace files, otherwise frequent mulit-nodes workspace deployment could make your crazy. -job_workspaceset it with already deployed workspace directory,paddle.pywill skip dispatch stage to directly launch cluster job with all nodes. It could help to reduce heavy -dispatch latency.-
+
job_dispatch_packageset it with localworkspacedirectory, it will be dispatched to all nodes which is set inconf.py. It could be helpful for frequently manipulating workspace files. otherwise, frequent multi-nodes workspace deployment is very annoying.
+job_workspaceset it with already deployed workspace directory,paddle.pywill skip dispatch stage to directly launch cluster job with all nodes. It could help to reduce heavy +dispatch latency.
+
cluster_train/run.shprovides command line sample to rundemo/recommendationcluster job, just modifyjob_dispatch_packageandjob_workspacewith your defined directory, then:@@ -296,26 +408,70 @@ dispatch latency.sh run.sh
Kill Cluster Job¶
-
+paddle.pycan captureCtrl + CSIGINT signal to automatically kill all processes launched by it. So just stoppaddle.pyto kill cluster job. You should mannally kill job if program crashed.paddle.pycan captureCtrl + CSIGINT signal to automatically kill all processes launched by it. So just stoppaddle.pyto kill cluster job. You should manually kill the job if the program crashed.Check Cluster Training Result¶
Check log in $workspace/log for details, each node owns same log structure.
+It provides almost all internal output log for training, same as local training. Check runtime model convergence here.paddle_trainer.INFO-It provides almost all interal output log for training, same as local training. Check runtime model convergence here.
+It provides parameter server running log, which could help to diagnose distributed error.paddle_pserver2.INFO-It provides pserver running log, which could help to diagnose distributed error.
+It provides stderr and stdout of parameter server process. Check error log if training crashes.server.log-It provides stderr and stdout of pserver process. Check error log if training crashs.
+It provides stderr and stdout of trainer process. Check error log if training crashes.train.log-It provides stderr and stdout of trainer process. Check error log if training crashs.Check Model Output¶
-After one pass finished, model files will be writed in
outputdirectory in node 0. +After one pass finished, model files will be written in
outputdirectory in node 0.nodefilein workspace indicates the node id of current cluster job.++Cluster Training Using OpenMPI¶
+++Prepare an OpenMPI cluster¶
+Run the following command to start a 3-node MPI cluster and one “head” node.
+++cd paddle/scripts/cluster_train_v2/openmpi/docker_cluster +kubectl create -f head.yaml +kubectl create -f mpi-nodes.yaml +Then you can log in to every OpenMPI node using ssh without input any passwords.
+++Launching Cluster Job¶
+Follow the steps to launch a PaddlePaddle training job in OpenMPI cluster:\
+++# find out node IP addresses +kubectl get po -o wide +# generate a "machines" file containing node IP addresses +kubectl get po -o wide | grep nodes | awk '{print $6}' > machines +# copy necessary files onto "head" node +scp -i ssh/id_rsa.mpi.pub machines prepare.py train.py start_mpi_train.sh tutorial@[headIP]:~ +# login to head node using ssh +ssh -i ssh/id_rsa.mpi.pub tutorial@[headIP] +# --------------- in head node --------------- +# prepare training data +python prepare.py +# copy training data and dict file to MPI nodes +cat machines | xargs -i scp word_dict.pickle train.py start_mpi_train.sh machines {}:/home/tutorial +# creat a directory for storing log files +mpirun -hostfile machines -n 3 mkdir /home/tutorial/logs +# copy training data to every node +scp train.txt-00000 test.txt-00000 [node1IP]:/home/tutorial +scp train.txt-00001 test.txt-00001 [node2IP]:/home/tutorial +scp train.txt-00002 test.txt-00002 [node3IP]:/home/tutorial +# start the job +mpirun -hostfile machines -n 3 /home/tutorial/start_mpi_train.sh +
+Cluster Training Using Kubernetes¶
+The details can be found here
+- Detail Description
-- Run Distributed Training
+- PaddlePaddle Distributed Training
+- Introduction
+- Preparations
+- Command-line arguments
+- Use cluster platforms or cluster management tools
- Paddle On Kubernetes
- Distributed PaddlePaddle Training on AWS with Kubernetes
- Build PaddlePaddle from Source Code and Run Unit Test
diff --git a/develop/doc/howto/usage/cmd_parameter/detail_introduction_en.html b/develop/doc/howto/usage/cmd_parameter/detail_introduction_en.html index 97844fd92c5cde39f58c5c6d8f0621a7fdc3491b..a0905115fb1895e8fac0b241c9c0f3e1943ba2a4 100644 --- a/develop/doc/howto/usage/cmd_parameter/detail_introduction_en.html +++ b/develop/doc/howto/usage/cmd_parameter/detail_introduction_en.html @@ -34,7 +34,7 @@ - + @@ -123,7 +123,11 @@- Detail Description
-- Run Distributed Training
+- PaddlePaddle Distributed Training
+- Introduction
+- Preparations
+- Command-line arguments
+- Use cluster platforms or cluster management tools
- Paddle On Kubernetes
- Distributed PaddlePaddle Training on AWS with Kubernetes
- Build PaddlePaddle from Source Code and Run Unit Test
@@ -630,7 +634,7 @@ diff --git a/develop/doc/howto/usage/k8s/src/k8s_data/README.html b/develop/doc/howto/usage/k8s/src/k8s_data/README.html index a5cccbb38d49724dce9866f42e6e282f12b67ee3..2aa4ad2214c4fbc8d7ca4795245148c4d0632b76 100644 --- a/develop/doc/howto/usage/k8s/src/k8s_data/README.html +++ b/develop/doc/howto/usage/k8s/src/k8s_data/README.html @@ -120,7 +120,11 @@- Detail Description
-- Run Distributed Training
+- PaddlePaddle Distributed Training
+- Introduction
+- Preparations
+- Command-line arguments
+- Use cluster platforms or cluster management tools
- Paddle On Kubernetes
- Distributed PaddlePaddle Training on AWS with Kubernetes
- Build PaddlePaddle from Source Code and Run Unit Test
diff --git a/develop/doc/howto/usage/k8s/src/k8s_train/README.html b/develop/doc/howto/usage/k8s/src/k8s_train/README.html index 1ab40229cca7d2b8f99f4500c7ba20036c103b96..b1dc3d708ce7fe4450bcc2e8f1e96c2a3e6b074b 100644 --- a/develop/doc/howto/usage/k8s/src/k8s_train/README.html +++ b/develop/doc/howto/usage/k8s/src/k8s_train/README.html @@ -120,7 +120,11 @@- Detail Description
-- Run Distributed Training
+- PaddlePaddle Distributed Training
+- Introduction
+- Preparations
+- Command-line arguments
+- Use cluster platforms or cluster management tools
- Paddle On Kubernetes
- Distributed PaddlePaddle Training on AWS with Kubernetes
- Build PaddlePaddle from Source Code and Run Unit Test
diff --git a/develop/doc/index_en.html b/develop/doc/index_en.html index e23968d71f31949d3b1c120eedc189964fe1e46f..6615dc0c97e952fedd85e7f7e7d53a90ca9730b7 100644 --- a/develop/doc/index_en.html +++ b/develop/doc/index_en.html @@ -121,7 +121,11 @@- Detail Description
-- Run Distributed Training
+- PaddlePaddle Distributed Training
+- Introduction
+- Preparations
+- Command-line arguments
+- Use cluster platforms or cluster management tools
- Paddle On Kubernetes
- Distributed PaddlePaddle Training on AWS with Kubernetes
- Build PaddlePaddle from Source Code and Run Unit Test
diff --git a/develop/doc/objects.inv b/develop/doc/objects.inv index 84e28db9264d11e8b5a96a61741216eb08c2dcf9..4297573cc953ee633786a185a0a213ed958a249b 100644 Binary files a/develop/doc/objects.inv and b/develop/doc/objects.inv differ diff --git a/develop/doc/search.html b/develop/doc/search.html index 77dd97129be253f47693ab79431332c44ef2e0a6..5d5d385fecd439341d56cff2ced3e3f0476ca00a 100644 --- a/develop/doc/search.html +++ b/develop/doc/search.html @@ -120,7 +120,11 @@- Detail Description
-- Run Distributed Training
+- PaddlePaddle Distributed Training
+- Introduction
+- Preparations
+- Command-line arguments
+- Use cluster platforms or cluster management tools
- Paddle On Kubernetes
- Distributed PaddlePaddle Training on AWS with Kubernetes
- Build PaddlePaddle from Source Code and Run Unit Test
diff --git a/develop/doc/searchindex.js b/develop/doc/searchindex.js index d9831fcb078cffdde31b66b0d2fc0c05f2e9dba8..e8c80968b5514f3995805b337a3a44bb24130e87 100644 --- a/develop/doc/searchindex.js +++ b/develop/doc/searchindex.js @@ -1 +1 @@ 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-- Run Distributed Training
+- PaddlePaddle Distributed Training
+- Introduction
+- Preparations
+- Command-line arguments
+- Use cluster platforms or cluster management tools
- Paddle On Kubernetes
- Distributed PaddlePaddle Training on AWS with Kubernetes
- Build PaddlePaddle from Source Code and Run Unit Test
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-- Run Distributed Training
+- PaddlePaddle Distributed Training
+- Introduction
+- Preparations
+- Command-line arguments
+- Use cluster platforms or cluster management tools
- Paddle On Kubernetes
- Distributed PaddlePaddle Training on AWS with Kubernetes
- Build PaddlePaddle from Source Code and Run Unit Test
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-- Run Distributed Training
+- PaddlePaddle Distributed Training
+- Introduction
+- Preparations
+- Command-line arguments
+- Use cluster platforms or cluster management tools
- Paddle On Kubernetes
- Distributed PaddlePaddle Training on AWS with Kubernetes
- Build PaddlePaddle from Source Code and Run Unit Test
diff --git a/develop/doc/v1_api_tutorials/gan/index_en.html b/develop/doc/v1_api_tutorials/gan/index_en.html index caf690c371814ff1a9c1c1f70d6dd5deaa7c267e..e258468e34827ce10019eb61d2d0e6fe44931867 100644 --- a/develop/doc/v1_api_tutorials/gan/index_en.html +++ b/develop/doc/v1_api_tutorials/gan/index_en.html @@ -120,7 +120,11 @@- Detail Description
-- Run Distributed Training
+- PaddlePaddle Distributed Training
+- Introduction
+- Preparations
+- Command-line arguments
+- Use cluster platforms or cluster management tools
- Paddle On Kubernetes
- Distributed PaddlePaddle Training on AWS with Kubernetes
- Build PaddlePaddle from Source Code and Run Unit Test
diff --git a/develop/doc/v1_api_tutorials/imagenet_model/resnet_model_en.html b/develop/doc/v1_api_tutorials/imagenet_model/resnet_model_en.html index b03749ee8573012d6b8667cefbe18c78e23eca46..8264571a93f9bbba3da70a2b406d908e4e6dac85 100644 --- a/develop/doc/v1_api_tutorials/imagenet_model/resnet_model_en.html +++ b/develop/doc/v1_api_tutorials/imagenet_model/resnet_model_en.html @@ -120,7 +120,11 @@- Detail Description
-- Run Distributed Training
+- PaddlePaddle Distributed Training
+- Introduction
+- Preparations
+- Command-line arguments
+- Use cluster platforms or cluster management tools
- Paddle On Kubernetes
- Distributed PaddlePaddle Training on AWS with Kubernetes
- Build PaddlePaddle from Source Code and Run Unit Test
diff --git a/develop/doc/v1_api_tutorials/quick_start/index_en.html b/develop/doc/v1_api_tutorials/quick_start/index_en.html index 2fa78f98b2f8cf953954d5e95a6fe48cb30d8833..2ec0526b5e9008779e4a6d7449603a874befc241 100644 --- a/develop/doc/v1_api_tutorials/quick_start/index_en.html +++ b/develop/doc/v1_api_tutorials/quick_start/index_en.html @@ -120,7 +120,11 @@- Detail Description
-- Run Distributed Training
+- PaddlePaddle Distributed Training
+- Introduction
+- Preparations
+- Command-line arguments
+- Use cluster platforms or cluster management tools
- Paddle On Kubernetes
- Distributed PaddlePaddle Training on AWS with Kubernetes
- Build PaddlePaddle from Source Code and Run Unit Test
diff --git a/develop/doc_cn/_sources/howto/usage/cluster/cluster_train_cn.md.txt b/develop/doc_cn/_sources/howto/usage/cluster/cluster_train_cn.md.txt index 274452fbf0c595ad7b4dbeffe85ad9038f12b458..93c5544bcfa911f8bdcdaea39a75b3ab7ef218f8 100644 --- a/develop/doc_cn/_sources/howto/usage/cluster/cluster_train_cn.md.txt +++ b/develop/doc_cn/_sources/howto/usage/cluster/cluster_train_cn.md.txt @@ -1,135 +1,215 @@ -```eval_rst -.. _cluster_train: +# PaddlePaddle分布式训练 + +* [概述](#概述) +* [环境准备](#环境准备) +* [启动参数说明](#启动参数说明) + * [启动参数服务器](#启动参数服务器) + * [启动计算节点](#启动计算节点) + * [准备数据集](#准备数据集) + * [准备训练程序](#准备训练程序) +* [使用分布式计算平台或工具](#使用分布式计算平台或工具) + * [使用Fabric启动集群作业](#使用fabric启动集群作业) + * [准备一个Linux集群](#准备一个linux集群) + * [启动集群作业](#启动集群作业) + * [终止集群作业](#终止集群作业) + * [检查集群训练结果](#检查集群训练结果) + * [检查模型输出](#检查模型输出) + * [在OpenMPI集群中提交训练作业](#在openmpi集群中提交训练作业) + * [准备OpenMPI集群](#准备OpenMPI集群) + * [启动集群作业](#启动集群作业-1) + * [在Kubernetes集群中提交训练作业](#在kubernetes集群中提交训练作业) + +# 概述 +本文将介绍如何使用PaddlePaddle在不同的集群框架下完成分布式训练。分布式训练架构如下图所示： + +
+
+- 数据分片（Data shard): 用于训练神经网络的数据，被切分成多个部分，每个部分分别给每个trainer使用。
+- 计算节点（Trainer）: 每个trainer启动后读取切分好的一部分数据，开始神经网络的“前馈”和“后馈”计算，并和参数服务器通信。在完成一定量数据的训练后，上传计算得出的梯度（gradients），然后下载优化更新后的神经网络参数（parameters）。
+- 参数服务器（Parameter server）:每个参数服务器只保存整个神经网络所有参数的一部分。参数服务器接收从计算节点上传的梯度，并完成参数优化更新，再将更新后的参数下发到每个计算节点。
+
+这样，通过计算节点和参数服务器的分布式协作，可以完成神经网络的SGD方法的训练。PaddlePaddle可以同时支持同步随机梯度下降（SGD）和异步随机梯度下降。
+
+在使用同步SGD训练神经网络时，PaddlePaddle使用同步屏障（barrier），使梯度的提交和参数的更新按照顺序方式执行。在异步SGD中，则并不会等待所有trainer提交梯度才更新参数，这样极大地提高了计算的并行性：参数服务器之间不相互依赖，并行地接收梯度和更新参数，参数服务器也不会等待计算节点全部都提交梯度之后才开始下一步，计算节点之间也不会相互依赖，并行地执行模型的训练。可以看出，虽然异步SGD方式会提高参数更新并行度, 但是并不能保证参数同步更新，在任意时间某一台参数服务器上保存的参数可能比另一台要更新，与同步SGD相比，梯度会有噪声。
+
+# 环境准备
+
+1. 准备您的计算集群。计算集群通常由一组（几台到几千台规模）的Linux服务器组成。服务器之间可以通过局域网（LAN）联通，每台服务器具有集群中唯一的IP地址（或者可被DNS解析的主机名）。集群中的每台计算机通常被成为一个“节点”。
+1. 我们需要在集群的所有节点上安装 PaddlePaddle。 如果要启用GPU，还需要在节点上安装对应的GPU驱动以及CUDA。PaddlePaddle的安装可以参考[build_and_install](https://github.com/PaddlePaddle/Paddle/tree/develop/doc/getstarted/build_and_install)的多种安装方式。我们推荐使用[Docker](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/getstarted/build_and_install/docker_install_cn.rst)安装方式来快速安装PaddlePaddle。
+
+安装完成之后，执行下面的命令可以查看已经安装的版本（docker安装方式可以进入docker容器执行：`docker run -it paddlepaddle/paddle:[tag] /bin/bash`）：
+```bash
+$ paddle version
+PaddlePaddle 0.10.0, compiled with
+ with_avx: ON
+ with_gpu: OFF
+ with_double: OFF
+ with_python: ON
+ with_rdma: OFF
+ with_timer: OFF
```
-# 运行分布式训练
+下面以`doc/howto/usage/cluster/src/word2vec`中的代码作为实例，介绍使用PaddlePaddle v2 API完成分布式训练。
-在本文中，我们将阐释如何在集群上运行分布式 Paddle 训练作业。我们将以[推荐系统](https://github.com/baidu/Paddle/tree/develop/demo/recommendation)为例创建分布式的单进程训练。
+# 启动参数说明
+## 启动参数服务器
+执行以下的命令启动一个参数服务器并等待和计算节点的数据交互
+```bash
+$ paddle pserver --port=7164 --ports_num=1 --ports_num_for_sparse=1 --num_gradient_servers=1
+```
-在本文中使用的[脚本](https://github.com/baidu/Paddle/tree/develop/paddle/scripts/cluster_train)通过 SSH 运行分布式作业。 它们还可以供那些运行更复杂的集群管理系统（如 MPI 和 [Kubernetes](https://github.com/PaddlePaddle/Paddle/tree/develop/doc/howto/usage/k8s) ）的用户参考。
+如果希望可以在后台运行pserver程序，并保存输出到一个日志文件，可以运行：
+```bash
+$ stdbuf -oL /usr/bin/nohup paddle pserver --port=7164 --ports_num=1 --ports_num_for_sparse=1 --num_gradient_servers=1 &> pserver.log
+```
-## 前提条件
+| 参数 | 是否必选 | 默认值 | 说明 |
+| ------------- | ------------- | ------------- | ------------- |
+| port | 必选 | 7164 | pserver监听的起始端口，根据ports_num决定
总端口个数，从起始端口监听多个端口用于通信 | +| ports_num | 必选 | 1 | 监听的端口个数 | +| ports_num_for_sparse | 必选 | 1 | 用于稀疏类型参数通信的端口个数 | +| num_gradient_servers | 必选 | 1 | 当前训练任务pserver总数 | + +## 启动计算节点 +执行以下命令启动使用python编写的trainer程序（文件名为任意文件名，如train.py） +```bash +$ python train.py +``` -1. 上述脚本使用 Python 库 [fabric](http://www.fabfile.org/) 来运行 SSH 命令。 我们使用 `pip` 来安装 fabric: +trainer需要和pserver保持网络联通以完成训练。trainer启动需要传入端口、pserver地址等参数使trainer可以正确连接到pserver。这些参数可以通过环境变量（https://zh.wikipedia.org/wiki/环境变量 ）或编写程序时`paddle.init()`中传入参数。如果同时使用`paddle.init()`参数和环境变量，将会优先使用`paddle.init()`中传入的参数。 - ```bash - pip install fabric - ``` +使用环境变量： -2. 我们需要在集群的所有节点上安装 PaddlePaddle。 如果要启用GPU，需要在 `/usr/local/cuda` 中安装 CUDA; 否则 Paddle 将在运行时报错。 +```bash +export PADDLE_INIT_USE_GPU=False +export PADDLE_INIT_TRAINER_COUNT=1 +export PADDLE_INIT_PORT=7164 +export PADDLE_INIT_PORTS_NUM=1 +export PADDLE_INIT_PORTS_NUM_FOR_SPARSE=1 +export PADDLE_INIT_NUM_GRADIENT_SERVERS=1 +export PADDLE_INIT_TRAINER_ID=0 +export PADDLE_INIT_PSERVERS=127.0.0.1 +``` -3. 在 [`cluster_train/conf.py`] 中设置 `ROOT_DIR`， 该 ROOT_DIR 要在所有节点上存在。为了方便起见，我们通常在所有节点上创建一个 Unix 用户 `paddle`，并设置 `ROOT_DIR=/home/paddle`。这样，我们可以将 SSH 公钥写入 `/home/paddle/.ssh/authorized_keys`，以便用户 `paddle` 可以 SSH 到所有节点而不用密码。 +使用参数： -## 准备工作空间 +```python +paddle.init( + use_gpu=False, + trainer_count=1, + port=7164, + ports_num=1, + ports_num_for_sparse=1, + num_gradient_servers=1, + trainer_id=0, + pservers="127.0.0.1") +``` -我们将放置依赖库、配置等文件的目录视为 *工作空间（workspace）*。 +| 参数 | 是否必选 | 默认 | 说明 | +| ------------- | ------------- | ------------- | ------------- | +| use_gpu | 可选 | False | 是否启用GPU训练 | +| trainer_count | 必选 | 1 | 当前训练任务trainer总个数 | +| port | 必选 | 7164 | 连接到pserver的端口 | +| ports_num | 必选 | 1 | 连接到pserver的端口个数 | +| ports_num_for_sparse | 必选 | 1 | 和pserver之间用于稀疏类型参数通信的端口个数 | +| num_gradient_servers | 必选 | 1 | 当前训练任务pserver总数 | +| trainer_id | 必选 | 0 | 每个trainer的唯一ID，从0开始的整数 | +| pservers | 必选 | 127.0.0.1 | 当前训练任务启动的pserver的IP列表，多个IP使用“,”隔开 | -这些 `train/test` 数据应该在启动集群作业之前准备好。 为了满足训练/测试数据放置在工作空间中不同目录的要求，PADDLE 根据在模型配置文件中使用的名为 `train.list/test.list` 的索引文件引用训练/测试数据，所以训练/测试数据也包含 train.list/test.list 两个列表文件。所有本地训练 demo 已经提供了脚本来帮助您创建这两个文件，并且集群作业中的所有节点将在正常情况下处理具有相同逻辑代码的文件。 -通常，你可以使用本地训练中的相同模型文件进行集群训练。请记住，在模型文件的 `setting`函数中设置的 `batch_size` 表示在集群作业**每个**节点中的 batch 大小，而不是使用同步 SGD 的总 batch 大小。 +## 准备数据集 -以下步骤基于 demo 目录中的 [demo/recommendation](https://github.com/PaddlePaddle/Paddle/tree/develop/demo/recommendation)。 +参考样例数据准备脚本[prepare.py](https://github.com/PaddlePaddle/Paddle/tree/develop/doc/howto/usage/cluster/src/word2vec/prepare.py)，准备训练数据和验证数据集，我们使用paddle.dataset.imikolov数据集，并根据分布式训练并发数（trainer节点个数），在`prepare.py`开头部分指定`SPLIT_COUNT`将数据切分成多份。 -你只需完成 demo/recommendation 教程文档到 `Train` 的部分，之后你会得到训练/测试数据和模型配置文件。最后，只需使用 demo/recommendation 作为集群训练的工作空间。 +在线上系统中，通常会使用MapReduce任务的输出结果作为训练结果，这样训练文件的个数会比较多，而且个数并不确定。在trainer中可以使用下面取模的方法为每个trainer分配训练数据文件： -最后，你的工作空间应如下所示： -``` -. -|-- common_utils.py -|-- data -| |-- config.json -| |-- config_generator.py -| |-- meta.bin -| |-- meta_config.json -| |-- meta_generator.py -| |-- ml-1m -| |-- ml_data.sh -| |-- ratings.dat.test -| |-- ratings.dat.train -| |-- split.py -| |-- test.list -| `-- train.list -|-- dataprovider.py -|-- evaluate.sh -|-- prediction.py -|-- preprocess.sh -|-- requirements.txt -|-- run.sh -`-- trainer_config.py +```python +import os +train_list = [] +flist = os.listdir("/train_data/") +for f in flist: + suffix = int(f.split("-")[1]) + if suffix % TRAINER_COUNT == TRAINER_ID: + train_list.append(f) ``` -虽然这些文件并非都需要集群训练，但是也没有必要删除无用的文件。 - -`trainer_config.py` -表示模型配置文件。 -`train.list` 和 `test.list` -文件索引。它存储当前节点所有训练/测试数据的所有相对或绝对文件路径。 +示例程序`prepare.py`会把训练集和测试集分别分割成多个文件（例子中为3个，后缀为`-00000`、`-00001`和`-00002`）: +``` +train.txt +train.txt-00000 +train.txt-00001 +train.txt-00002 +test.txt +test.txt-00000 +test.txt-00001 +test.txt-00002 +``` -`dataprovider.py` -用于读取训练/测试样本。这与本地训练相同。 +在进行分布式训练时，每个trainer进程需要能够读取属于自己的一份数据。在一些分布式系统中，系统会提供一个分布式存储服务，这样保存在分布式存储中的数据可以被集群中的每个节点读取到。如果不使用分布式存储，则需要手动拷贝属于每个trainer节点的训练数据到对应的节点上。 -`data` -数据目录中的所有文件被 train.list/test.list 引用。 +对于不同的训练任务，训练数据格式和训练程序的`reader()`会大不相同，所以开发者需要根据自己训练任务的实际场景完成训练数据的分割和`reader()`的编写。 +## 准备训练程序 -## 准备集群作业配置 +我们会对每个训练任务都会在每个节点上创建一个工作空间（workspace），其中包含了用户的训练程序、程序依赖、挂载或下载的训练数据分片。 -以下选项必须在 cluster_train/conf.py 中认真设置 +最后，工作空间应如下所示： +``` +. +|-- my_lib.py +|-- word_dict.pickle +|-- train.py +|-- train_data_dir/ +| |-- train.txt-00000 +| |-- train.txt-00001 +| |-- train.txt-00002 +`-- test_data_dir/ + |-- test.txt-00000 + |-- test.txt-00001 + `-- test.txt-00002 +``` -`HOSTS` 所有节点运行集群作业的主机名或 IP 。你还可以将用户和 ssh 端口附加到主机名上，例如 root@192.168.100.17:9090。 +- `my_lib.py`：会被`train.py`调用的一些用户定义的库函数，比如PIL库等。 +- `word_dict.pickle`：在`train.py`中会使用到的字典数据文件。 +- `train.py`：训练程序，代码参考[api_train_v2_cluster.py](https://github.com/PaddlePaddle/Paddle/tree/develop/doc/howto/usage/cluster/src/word2vec/prepare.py)。***注意：*** 对于本样例代码，在使用不同的分布式计算平台时，您可能需要修改`train.py`开头的部分（如下），以便获得训练数据的位置和获取环境变量配置： -`ROOT_DIR` 用于放置 JOB 工作空间目录的工作空间 ROOT 目录 + ```python + cluster_train_file = "./train_data_dir/train/train.txt" + cluster_test_file = "./test_data_dir/test/test.txt" + node_id = os.getenv("OMPI_COMM_WORLD_RANK") + if not node_id: + raise EnvironmentError("must provied OMPI_COMM_WORLD_RANK") + ``` -`PADDLE_NIC` 集群通信通道的 NIC(Network Interface Card, 网络接口卡) 接口名称，例如以太网的 eth0，infiniband 的 ib0。 +- `train_data_dir`：包含训练数据的目录，可以是从分布式存储挂载过来的，也可以是在任务启动前下载到本地的。 +- `test_data_dir`：包含测试数据集的目录。 -`PADDLE_PORT` 集群通信通道的端口号 +# 使用分布式计算平台或工具 -`PADDLE_PORTS_NUM` 用于集群通信通道的端口数。 如果集群节点数量少（少于5〜6个节点），建议将其设置为较大，如2〜8，以获得更好的网络性能。 +PaddlePaddle可以使用多种分布式计算平台构建分布式计算任务，包括： +- [Kubernetes](http://kubernetes.io) Google开源的容器集群的调度框架，支持大规模集群生产环境的完整集群方案。 +- [OpenMPI](https://www.open-mpi.org) 成熟的高性能并行计算框架。 +- [Fabric](http://www.fabfile.org) 集群管理工具。可以使用`Fabric`编写集群任务提交和管理脚本。 -`PADDLE_PORTS_NUM_FOR_SPARSE` 用于 sparse remote updater 集群通信信道的端口数。如果使用 sparse remote update，则可以像 `PADDLE_PORTS_NUM` 一样设置。 +对于不同的集群平台，会分别介绍集群作业的启动和停止方法。这些例子都可以在[cluster_train_v2](https://github.com/PaddlePaddle/Paddle/tree/develop/paddle/scripts/cluster_train_v2)找到。 -`LD_LIBRARY_PATH` 为集群作业设置额外的 LD_LIBRARY_PATH。你可以使用它来设置 CUDA 库的路径。 +在使用分布式计算平台进行训练时，任务被调度在集群中时，分布式计算平台通常会通过API或者环境变量提供任务运行需要的参数，比如节点的ID、IP和任务节点个数等。 -默认配置如下： +## 使用Fabric启动集群作业 -```python -HOSTS = [ - "root@192.168.100.17", - "root@192.168.100.18", - ] - -''' -工作空间配置 -''' - -#工作空间根目录 -ROOT_DIR = "/home/paddle" - -''' -网络配置 -''' -#pserver NIC -PADDLE_NIC = "eth0" -#pserver 端口 -PADDLE_PORT = 7164 -#pserver 端口数 -PADDLE_PORTS_NUM = 2 -#pserver sparse ports num -PADDLE_PORTS_NUM_FOR_SPARSE = 2 - -#集群作业中所有进程的环境设置 -LD_LIBRARY_PATH="/usr/local/cuda/lib64:/usr/lib64" -``` +### 准备一个Linux集群 +可以在`paddle/scripts/cluster_train_v2/fabric/docker_cluster`目录下，执行`kubectl -f ssh_servers.yaml`启动一个测试集群，并使用`kubectl get po -o wide`获得这些节点的IP地址。 ### 启动集群作业 -`paddle.py` 提供了自动化脚本来启动不同节点中的所有 PaddlePaddle 集群进程。默认情况下，所有命令行选项可以设置为```paddle.py``` 命令选项并且 `paddle.py` 将透明、自动地将这些选项应用到 PaddlePaddle 底层进程。 + +`paddle.py` 提供了自动化脚本来启动不同节点中的所有 PaddlePaddle 集群进程。默认情况下，所有命令行选项可以设置为 `paddle.py` 命令选项并且 `paddle.py` 将透明、自动地将这些选项应用到 PaddlePaddle 底层进程。 `paddle.py` 为方便作业启动提供了两个独特的命令选项。 -`job_dispatch_package` 设为本地 `workspace` 目录，它将被分发到 conf.py 中设置的所有节点。 它有助于帮助频繁修改和访问工作区文件的用户减少负担，否则频繁的多节点工作空间部署可能会很麻烦。 -`job_workspace` 设为已部署的工作空间目录，`paddle.py` 将跳过分发阶段直接启动所有节点的集群作业。它可以帮助减少分发延迟。 +- `job_dispatch_package` 设为本地 `workspace` 目录，它将被分发到 `conf.py` 中设置的所有节点。它有助于帮助频繁修改和访问工作区文件的用户减少负担，否则频繁的多节点工作空间部署可能会很麻烦。 +- `job_workspace` 设为已部署的工作空间目录，`paddle.py` 将跳过分发阶段直接启动所有节点的集群作业。它可以帮助减少分发延迟。 -`cluster_train/run.sh` 提供了命令样例来运行 `demo/recommendation` 集群工作，只需用你定义的目录修改 `job_dispatch_package` 和 `job_workspace`，然后： +`cluster_train/run.sh` 提供了命令样例来运行 `doc/howto/usage/cluster/src/word2vec` 集群任务，只需用您定义的目录修改 `job_dispatch_package` 和 `job_workspace`，然后： ``` sh run.sh ``` @@ -149,7 +229,7 @@ sh run.sh 提供 pserver 运行日志，有助于诊断分布式错误。 `server.log` -提供 pserver 进程的 stderr 和 stdout。训练失败时可以检查错误日志。 +提供 parameter server 进程的 stderr 和 stdout。训练失败时可以检查错误日志。 `train.log` 提供训练过程的 stderr 和 stdout。训练失败时可以检查错误日志。 @@ -157,3 +237,49 @@ sh run.sh ### 检查模型输出 运行完成后，模型文件将被写入节点 0 的 `output` 目录中。 工作空间中的 `nodefile` 表示当前集群作业的节点 ID。 + +## 在OpenMPI集群中提交训练作业 + +### 准备OpenMPI集群 + +执行下面的命令以启动3个节点的OpenMPI集群和一个"head"节点： + +```bash +paddle/scripts/cluster_train_v2/openmpi/docker_cluster +kubectl create -f head.yaml +kubectl create -f mpi-nodes.yaml +``` + +然后可以从head节点ssh无密码登录到OpenMPI的每个节点上。 + +### 启动集群作业 + +您可以按照下面的步骤在OpenMPI集群中提交paddle训练任务： + +```bash +# 获得head和node节点的IP地址 +kubectl get po -o wide +# 将node节点的IP地址保存到machines文件中 +kubectl get po -o wide | grep nodes | awk '{print $6}' > machines +# 拷贝必要的文件到head节点 +scp -i ssh/id_rsa.mpi.pub machines prepare.py train.py start_mpi_train.sh tutorial@[headIP]:~ +# ssh 登录到head节点 +ssh -i ssh/id_rsa.mpi.pub tutorial@[headIP] +# --------------- 以下操作均在head节点中执行 --------------- +# 准备训练数据 +python prepare.py +# 拷贝训练程序和字典文件到每台MPI节点 +cat machines | xargs -i scp word_dict.pickle train.py start_mpi_train.sh machines {}:/home/tutorial +# 创建日志目录 +mpirun -hostfile machines -n 3 mkdir /home/tutorial/logs +# 拷贝训练数据到各自的节点 +scp train.txt-00000 test.txt-00000 [node1IP]:/home/tutorial +scp train.txt-00001 test.txt-00001 [node2IP]:/home/tutorial +scp train.txt-00002 test.txt-00002 [node3IP]:/home/tutorial +# 启动训练任务 +mpirun -hostfile machines -n 3 /home/tutorial/start_mpi_train.sh +``` + +## 在Kubernetes集群中提交训练作业 + +此部分的使用方法可以参考[here](../k8s/k8s_distributed_cn.md)。 diff --git a/develop/doc_cn/api/index_cn.html b/develop/doc_cn/api/index_cn.html index 95ed3ed45e222b82a47559129a9d493993ddd788..bde591020d25658976b987bf9baf737625841495 100644 --- a/develop/doc_cn/api/index_cn.html +++ b/develop/doc_cn/api/index_cn.html @@ -124,7 +124,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/api/v1/data_provider/dataprovider_cn.html b/develop/doc_cn/api/v1/data_provider/dataprovider_cn.html index 115142fbe70cc15db22f2a1bb93e6a307b2f070f..2ed23c26fedd06eab3f3fc786a0b64a47aeba061 100644 --- a/develop/doc_cn/api/v1/data_provider/dataprovider_cn.html +++ b/develop/doc_cn/api/v1/data_provider/dataprovider_cn.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/api/v1/data_provider/pydataprovider2_cn.html b/develop/doc_cn/api/v1/data_provider/pydataprovider2_cn.html index 8f529b15c483b370e386a7637cabc8070df92a7c..862672ac7bdf66f7ccc2732b8d0f2ea7808dab5c 100644 --- a/develop/doc_cn/api/v1/data_provider/pydataprovider2_cn.html +++ b/develop/doc_cn/api/v1/data_provider/pydataprovider2_cn.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/api/v1/index_cn.html b/develop/doc_cn/api/v1/index_cn.html index 39943ec979b0e9632a645cd303e8b636b7930ed2..00294eb6fce5caf355664926d39ce3dba12ef25e 100644 --- a/develop/doc_cn/api/v1/index_cn.html +++ b/develop/doc_cn/api/v1/index_cn.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/api/v1/predict/swig_py_paddle_cn.html b/develop/doc_cn/api/v1/predict/swig_py_paddle_cn.html index ea0ac5b1ea2997d9597022d544375c0c85b50cf0..bc3c4039ad9c732bad6fbe9fa36766ff1d92089a 100644 --- a/develop/doc_cn/api/v1/predict/swig_py_paddle_cn.html +++ b/develop/doc_cn/api/v1/predict/swig_py_paddle_cn.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/api/v2/config/activation.html b/develop/doc_cn/api/v2/config/activation.html index 68546fda773921d64e13b32b2a7a9037d522eda3..ee54f036cd0f2ec5e91ba2c679d1a2a53944f434 100644 --- a/develop/doc_cn/api/v2/config/activation.html +++ b/develop/doc_cn/api/v2/config/activation.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/api/v2/config/attr.html b/develop/doc_cn/api/v2/config/attr.html index c7efed0864feef18c886a87bb43cb62ca6281d60..2b0466e630f4369aef0f09586a0446d14a35903b 100644 --- a/develop/doc_cn/api/v2/config/attr.html +++ b/develop/doc_cn/api/v2/config/attr.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/api/v2/config/evaluators.html b/develop/doc_cn/api/v2/config/evaluators.html index 5ebc6018c3d1e183d06f069b55186a6bac5b9bf3..b958e0e85b21e09f1523889da6bd734b6f3289f4 100644 --- a/develop/doc_cn/api/v2/config/evaluators.html +++ b/develop/doc_cn/api/v2/config/evaluators.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/api/v2/config/layer.html b/develop/doc_cn/api/v2/config/layer.html index 0b28af96fe5c005588b481485a3a3f5b7826c753..8ef407220288a5bd01ef76d07937f58751eb6804 100644 --- a/develop/doc_cn/api/v2/config/layer.html +++ b/develop/doc_cn/api/v2/config/layer.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/api/v2/config/networks.html b/develop/doc_cn/api/v2/config/networks.html index 9f8b57096470828074952a9149f0f2f061bf7719..e1bd3f891f36c1726cbad4fd7446c7163f0b7f6a 100644 --- a/develop/doc_cn/api/v2/config/networks.html +++ b/develop/doc_cn/api/v2/config/networks.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/api/v2/config/optimizer.html b/develop/doc_cn/api/v2/config/optimizer.html index b5ee1d7d7020faf8e338c54e054fa4824f2dd8f8..5976ec5f6d7419c0430426a1a7e439bb5b4ab0a8 100644 --- a/develop/doc_cn/api/v2/config/optimizer.html +++ b/develop/doc_cn/api/v2/config/optimizer.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/api/v2/config/pooling.html b/develop/doc_cn/api/v2/config/pooling.html index 4cbc2f5a6c26ea18f320865dd3d56f417eecf0c1..ee032195804967f246cf7afd46f1e101e25157cf 100644 --- a/develop/doc_cn/api/v2/config/pooling.html +++ b/develop/doc_cn/api/v2/config/pooling.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/api/v2/data.html b/develop/doc_cn/api/v2/data.html index 5e7653c2a790d831d1ec38d68fe56de364f0f644..95a46ded8edcea8aca9cb0b9ff4d4910ce9ca327 100644 --- a/develop/doc_cn/api/v2/data.html +++ b/develop/doc_cn/api/v2/data.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/api/v2/model_configs.html b/develop/doc_cn/api/v2/model_configs.html index 9ea7de5144ca3f3036126b924d2d8fbd3b78b0f9..a5b7cd4d4560d5616a524c8bd77860f105154b02 100644 --- a/develop/doc_cn/api/v2/model_configs.html +++ b/develop/doc_cn/api/v2/model_configs.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/api/v2/run_logic.html b/develop/doc_cn/api/v2/run_logic.html index ac1a537bb6ab45a2763947ab63007aba189657c1..5e50546500a94a0e4d329d30dc64e31faa616028 100644 --- a/develop/doc_cn/api/v2/run_logic.html +++ b/develop/doc_cn/api/v2/run_logic.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/api.html b/develop/doc_cn/design/api.html index d66f3efea1926d3cac43a0ac89bfa947e3d1fc7e..8fdf9efaef27fbe38883a76b9a66e6fc6b1d8a8e 100644 --- a/develop/doc_cn/design/api.html +++ b/develop/doc_cn/design/api.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/auto_gradient_check.html b/develop/doc_cn/design/auto_gradient_check.html index 24a9adcea9ab0e104f2833e7902864b3d5b73cab..eab48eb00ca962bb9bd324f2f60ba0dac7f37263 100644 --- a/develop/doc_cn/design/auto_gradient_check.html +++ b/develop/doc_cn/design/auto_gradient_check.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/block.html b/develop/doc_cn/design/block.html index 42787c38c80908b69b7cd1c2869d6a2500e298d4..3ab2c5ac4fd6d0d8115dfcc8a5baa7a7947743ac 100644 --- a/develop/doc_cn/design/block.html +++ b/develop/doc_cn/design/block.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/build_system/README.html b/develop/doc_cn/design/build_system/README.html index d3a291dd304d37e8e9b87fb4a6daaed987bfe643..db6152f047d020dbf55444f2693f637d467ddb33 100644 --- a/develop/doc_cn/design/build_system/README.html +++ b/develop/doc_cn/design/build_system/README.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/cluster_train/README.html b/develop/doc_cn/design/cluster_train/README.html index a3ee8b924fb8bd55e257395864fcb5078da88f44..efb14ad58c49b0d8e3dcb519878081c5205f561a 100644 --- a/develop/doc_cn/design/cluster_train/README.html +++ b/develop/doc_cn/design/cluster_train/README.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/cluster_train/checkpointing.html b/develop/doc_cn/design/cluster_train/checkpointing.html index b8647cb424479f178767e54c0f6a6049b2ad3e96..aff2fcd2dde8b95a9e77fb0960dc071461c2f23d 100644 --- a/develop/doc_cn/design/cluster_train/checkpointing.html +++ b/develop/doc_cn/design/cluster_train/checkpointing.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/cluster_train/data_dispatch.html b/develop/doc_cn/design/cluster_train/data_dispatch.html index 608dcd89e1871c702836b360455f2b48d001c10f..39a7f3a9f6449e126257834840c729f1b89dabc3 100644 --- a/develop/doc_cn/design/cluster_train/data_dispatch.html +++ b/develop/doc_cn/design/cluster_train/data_dispatch.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/cluster_train/large_model_dist_train.html b/develop/doc_cn/design/cluster_train/large_model_dist_train.html index 6e6ef377ffe433104be5327449ae8d4f33005d51..759db4560b86fa52d25a4e820b163ebfb56fb7f1 100644 --- a/develop/doc_cn/design/cluster_train/large_model_dist_train.html +++ b/develop/doc_cn/design/cluster_train/large_model_dist_train.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/cluster_train/master_server.html b/develop/doc_cn/design/cluster_train/master_server.html index fefc2905cde614ad389387b411a6f3ea24699010..68603800f707d1351760ebfd2e8c5816e3de483a 100644 --- a/develop/doc_cn/design/cluster_train/master_server.html +++ b/develop/doc_cn/design/cluster_train/master_server.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/cluster_train/pserver_client.html b/develop/doc_cn/design/cluster_train/pserver_client.html index e83b2d82f789d9d683941256b4473e1213de5313..34a499867d12e15f6dd70ecba6d44abb46480308 100644 --- a/develop/doc_cn/design/cluster_train/pserver_client.html +++ b/develop/doc_cn/design/cluster_train/pserver_client.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/cluster_train/remote_parameter_updater.html b/develop/doc_cn/design/cluster_train/remote_parameter_updater.html index 856b236096a4c97431b3da8e8ebc139abd62385f..7cdd50017680c48de9c62869ba443cda9ccfb9d5 100644 --- a/develop/doc_cn/design/cluster_train/remote_parameter_updater.html +++ b/develop/doc_cn/design/cluster_train/remote_parameter_updater.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/cluster_train/save_model.html b/develop/doc_cn/design/cluster_train/save_model.html index 53eed8b52970655c0fc544998fc5a7816819dbeb..c70af7c0aca4e6e1c5b6663a3d3697acc5c3ef6b 100644 --- a/develop/doc_cn/design/cluster_train/save_model.html +++ b/develop/doc_cn/design/cluster_train/save_model.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/cluster_train/submit-job.html b/develop/doc_cn/design/cluster_train/submit-job.html index eccb0bb86f66d58a02ff05b9896d1d513e317dfd..a92967d928a6efc146ec23992cab5e829c13a1b2 100644 --- a/develop/doc_cn/design/cluster_train/submit-job.html +++ b/develop/doc_cn/design/cluster_train/submit-job.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/executor.html b/develop/doc_cn/design/executor.html index 1318f248c76d506f902c7a64c416eebb7a84756a..ad5d064ce57a591ce833fac85c0da49e1d4c5613 100644 --- a/develop/doc_cn/design/executor.html +++ b/develop/doc_cn/design/executor.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/file_manager/README.html b/develop/doc_cn/design/file_manager/README.html index ef4fdd26034b38a4c352a458a949daa8e8079c8d..8e48f253a1d12949649d5f01b8876d558f0a9f7a 100644 --- a/develop/doc_cn/design/file_manager/README.html +++ b/develop/doc_cn/design/file_manager/README.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/file_manager/pfs/pfsclient.html b/develop/doc_cn/design/file_manager/pfs/pfsclient.html index df81272220e811bcc6c51da7b43ec8e5569f42e5..d8eff25b9a7410d3222742e45dbbfff8520d9ded 100644 --- a/develop/doc_cn/design/file_manager/pfs/pfsclient.html +++ b/develop/doc_cn/design/file_manager/pfs/pfsclient.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/functions_operators_layers.html b/develop/doc_cn/design/functions_operators_layers.html index 054199c723d7027c73f5bfd5c79327e1551c9c21..b71191ad1ba106f41812e8b42c75324c5ba41a5b 100644 --- a/develop/doc_cn/design/functions_operators_layers.html +++ b/develop/doc_cn/design/functions_operators_layers.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/gan_api.html b/develop/doc_cn/design/gan_api.html index eb8b4a251b43a4bf0f52e0c771bbe4fd16b07f0f..990ec4c1e37d47c500afa2aea4f429ebfbcc5b54 100644 --- a/develop/doc_cn/design/gan_api.html +++ b/develop/doc_cn/design/gan_api.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/graph.html b/develop/doc_cn/design/graph.html index 5a0b45df427526b7544b0e4b06e0be76a97eaac9..e884b17d1710991ead317c0994a4909fc36ae9c0 100644 --- a/develop/doc_cn/design/graph.html +++ b/develop/doc_cn/design/graph.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/if_else_op.html b/develop/doc_cn/design/if_else_op.html index 70ad2b9f302ce384f645d47091171e315caadb9a..156bfa0a3240dab6d79633dbef4339a77a4f6750 100644 --- a/develop/doc_cn/design/if_else_op.html +++ b/develop/doc_cn/design/if_else_op.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/infer_var_type.html b/develop/doc_cn/design/infer_var_type.html index d05cd89af1ab120d75053f73b26dcf207edb8cc3..ac9ba7fc35e1946ab65223caf5c151eba5fa0031 100644 --- a/develop/doc_cn/design/infer_var_type.html +++ b/develop/doc_cn/design/infer_var_type.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/multi_language_interface/00.why_plain_c.html b/develop/doc_cn/design/multi_language_interface/00.why_plain_c.html index 6c98aad738c695ae4c4a3942769b154a82b7dff7..d6dfb0da0092a5a8ab5a2d33f7a587cfbbe673d2 100644 --- a/develop/doc_cn/design/multi_language_interface/00.why_plain_c.html +++ b/develop/doc_cn/design/multi_language_interface/00.why_plain_c.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/multi_language_interface/01.inference_implementation.html b/develop/doc_cn/design/multi_language_interface/01.inference_implementation.html index 5e2b78f9e6674b037eda8b5e6ac8598c54f5365d..e9667fa63974149fb83d9f51a8f2344942bd5c68 100644 --- a/develop/doc_cn/design/multi_language_interface/01.inference_implementation.html +++ b/develop/doc_cn/design/multi_language_interface/01.inference_implementation.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/ops/rnn.html b/develop/doc_cn/design/ops/rnn.html index 32dd34b558e4109f9ae3aac3aa258f9292c29738..797ff15c5972071d3002a898228d025e0f7a316a 100644 --- a/develop/doc_cn/design/ops/rnn.html +++ b/develop/doc_cn/design/ops/rnn.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/optimizer.html b/develop/doc_cn/design/optimizer.html index c041044fdffba9ee6d2e4053a73e7bca10b906e0..caedfdd616cdb38449a7f0f2417935cf819f7033 100644 --- a/develop/doc_cn/design/optimizer.html +++ b/develop/doc_cn/design/optimizer.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/parameters_in_cpp.html b/develop/doc_cn/design/parameters_in_cpp.html index b365c9f402e389f8cc726d027d0f2fb0864035e5..f34eab820f7041ef8ac0407f4eb5bad7fda5f5a0 100644 --- a/develop/doc_cn/design/parameters_in_cpp.html +++ b/develop/doc_cn/design/parameters_in_cpp.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/program.html b/develop/doc_cn/design/program.html index 545c565396e40c78466e1d1e91d9884b42b6e814..db71b896b93efc98d6a57a203ed84337d939625c 100644 --- a/develop/doc_cn/design/program.html +++ b/develop/doc_cn/design/program.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/prune.html b/develop/doc_cn/design/prune.html index d3b1d76fe4252298bc7c63e35654f37a69ada868..c0eee21e3ff2a1b88ca84e8a20bf81d1fe4a5904 100644 --- a/develop/doc_cn/design/prune.html +++ b/develop/doc_cn/design/prune.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/python_api.html b/develop/doc_cn/design/python_api.html index b4040479e1a8cc435a8c643bfbe5ab6e06a303f5..3f565a8f7c8f3c10ee6b83e5b5106138e0d8f090 100644 --- a/develop/doc_cn/design/python_api.html +++ b/develop/doc_cn/design/python_api.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/reader/README.html b/develop/doc_cn/design/reader/README.html index 76f677e6f9c8c258de51d707efc2ef15f5bda454..7f3458a247f19d1f06bb05f4491ea55b0e9814e1 100644 --- a/develop/doc_cn/design/reader/README.html +++ b/develop/doc_cn/design/reader/README.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/refactor/distributed_architecture.html b/develop/doc_cn/design/refactor/distributed_architecture.html index 99c663797a0a096178337abfa32f3f96f6656922..7ba2c216a797f3084b833890268fc3075b2cda79 100644 --- a/develop/doc_cn/design/refactor/distributed_architecture.html +++ b/develop/doc_cn/design/refactor/distributed_architecture.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/refactor/parameter_server.html b/develop/doc_cn/design/refactor/parameter_server.html index ae04fc19278f35ed3089eadd85c9b6b02d9b9162..3aac6ab1ed127412543ac253e0afa2c5ef3928fb 100644 --- a/develop/doc_cn/design/refactor/parameter_server.html +++ b/develop/doc_cn/design/refactor/parameter_server.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/refactor/session.html b/develop/doc_cn/design/refactor/session.html index 03cee4c88573a2985330d42a5e75ae267b2ba9b6..1bd2bfce640a1622377e387cb4b90d60a0f3b74d 100644 --- a/develop/doc_cn/design/refactor/session.html +++ b/develop/doc_cn/design/refactor/session.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/refactorization.html b/develop/doc_cn/design/refactorization.html index 97ff94dd2431852e42806ed70499d0503b039e45..f02f17cc31694b62dfbd3cc5af97bf3c234feb6e 100644 --- a/develop/doc_cn/design/refactorization.html +++ b/develop/doc_cn/design/refactorization.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/register_grad_op.html b/develop/doc_cn/design/register_grad_op.html index db18e6a41603e67922d64620903c2b25098baf6e..fe5d2166077fdac78bb6eb52dce27dd148c2fee4 100644 --- a/develop/doc_cn/design/register_grad_op.html +++ b/develop/doc_cn/design/register_grad_op.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/regularization.html b/develop/doc_cn/design/regularization.html index 0129edbd56f3c72e52886ab8e9ea8c6fef60cf54..10073edb5f3f838e417fbbeb1519dd59382553da 100644 --- a/develop/doc_cn/design/regularization.html +++ b/develop/doc_cn/design/regularization.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/releasing_process.html b/develop/doc_cn/design/releasing_process.html index 3b0777715c0a6f1ccd81a0e89e1e5dbd8466d1eb..d2f9835a46631c8ba9d708db33c7eb5a597ebf44 100644 --- a/develop/doc_cn/design/releasing_process.html +++ b/develop/doc_cn/design/releasing_process.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/scope.html b/develop/doc_cn/design/scope.html index 888adeb301ac5433afd319f7ec412bf48d798d5c..8ef3b2caf755610f3938f925750561af1f591ace 100644 --- a/develop/doc_cn/design/scope.html +++ b/develop/doc_cn/design/scope.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/selected_rows.html b/develop/doc_cn/design/selected_rows.html index 77bf58b8da74f319fb5658d4f133c16829e3abbf..f0f71b597e693108b235ae174042b9f2ae65ebad 100644 --- a/develop/doc_cn/design/selected_rows.html +++ b/develop/doc_cn/design/selected_rows.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/simple_op_design.html b/develop/doc_cn/design/simple_op_design.html index f264f10a7ca1a751dfb84ee7125f4e234c8c9cb3..fae20f6e7852641309e1b65c391249c0d245440a 100644 --- a/develop/doc_cn/design/simple_op_design.html +++ b/develop/doc_cn/design/simple_op_design.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/tensor_array.html b/develop/doc_cn/design/tensor_array.html index e95a1a866ab8bc41bdf1e2ee4c4f0c829b3f4a10..7c358d7e79d3f0f2947a3cdbd7bb54c449837f11 100644 --- a/develop/doc_cn/design/tensor_array.html +++ b/develop/doc_cn/design/tensor_array.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/design/var_desc.html b/develop/doc_cn/design/var_desc.html index 6975ecb9221078e0ac6e54705441b0683b6a4825..e8a1414795506ab2cc323e8c5c521baf184cf044 100644 --- a/develop/doc_cn/design/var_desc.html +++ b/develop/doc_cn/design/var_desc.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/faq/build_and_install/index_cn.html b/develop/doc_cn/faq/build_and_install/index_cn.html index a1b50a1fde1f33d43075a68b6dd8e85326ad66d8..341717f23e7f07ee7e4531ab26b506ead19d0983 100644 --- a/develop/doc_cn/faq/build_and_install/index_cn.html +++ b/develop/doc_cn/faq/build_and_install/index_cn.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/faq/cluster/index_cn.html b/develop/doc_cn/faq/cluster/index_cn.html index 86b97479846e2692e8bf238d1d6d9c2dacf9f425..5eb8a635c8a83081aefe9adfc881aae579957c60 100644 --- a/develop/doc_cn/faq/cluster/index_cn.html +++ b/develop/doc_cn/faq/cluster/index_cn.html @@ -124,7 +124,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/faq/index_cn.html b/develop/doc_cn/faq/index_cn.html index e319d6c1c7f150a4647b99743e617a215cd98099..9a2d7945f2bc2566105eb4ea54b9ba05f049b71b 100644 --- a/develop/doc_cn/faq/index_cn.html +++ b/develop/doc_cn/faq/index_cn.html @@ -124,7 +124,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/faq/local/index_cn.html b/develop/doc_cn/faq/local/index_cn.html index 92781c7812206af0fb3e03811d52f3894f73aa3f..5663180919db70de3b4a7822ff8923832108224c 100644 --- a/develop/doc_cn/faq/local/index_cn.html +++ b/develop/doc_cn/faq/local/index_cn.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
@@ -342,7 +346,7 @@ PaddlePaddle的内存占用主要分为如下几个方面:- 多机训练
diff --git a/develop/doc_cn/faq/model/index_cn.html b/develop/doc_cn/faq/model/index_cn.html index d8b0fda461bd2f8e55e454ee399fd772fc0bbabc..10163ab666a46ec8cc3625e5bc0a1f65f9e00d1b 100644 --- a/develop/doc_cn/faq/model/index_cn.html +++ b/develop/doc_cn/faq/model/index_cn.html @@ -125,7 +125,11 @@-
-
- 请参考 运行分布式训练 。 +
- 请参考 cluster_train 。
- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/faq/parameter/index_cn.html b/develop/doc_cn/faq/parameter/index_cn.html index c259aa4d4eae8ab8527c395d4b0a19ae95e38361..3f8fe8d65b3d93d1ec8dbe28050c78c790971266 100644 --- a/develop/doc_cn/faq/parameter/index_cn.html +++ b/develop/doc_cn/faq/parameter/index_cn.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/genindex.html b/develop/doc_cn/genindex.html index 7b34d895019c4c7c5ba58691389d47d3414b6885..652fef3c80d52cb222cfabb6576261642e3ec271 100644 --- a/develop/doc_cn/genindex.html +++ b/develop/doc_cn/genindex.html @@ -123,7 +123,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/getstarted/basic_usage/index_cn.html b/develop/doc_cn/getstarted/basic_usage/index_cn.html index 3f071dac6cded42fe197d183fe8f7015b00f9f8c..1086d1f55c87a774e8d257f5425520a0078ea524 100644 --- a/develop/doc_cn/getstarted/basic_usage/index_cn.html +++ b/develop/doc_cn/getstarted/basic_usage/index_cn.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/getstarted/build_and_install/cmake/build_from_source_cn.html b/develop/doc_cn/getstarted/build_and_install/cmake/build_from_source_cn.html index 09ea067b9e672563c5ab712d630be0edcdf0283c..696bccfed8af3bf51a45b34b7d80b42102834f78 100644 --- a/develop/doc_cn/getstarted/build_and_install/cmake/build_from_source_cn.html +++ b/develop/doc_cn/getstarted/build_and_install/cmake/build_from_source_cn.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/getstarted/build_and_install/docker_install_cn.html b/develop/doc_cn/getstarted/build_and_install/docker_install_cn.html index 7f696afecae3aa21ebb5389236b850faf6533f9a..2733def2bfb36c703d1aa133243032000da2e4e3 100644 --- a/develop/doc_cn/getstarted/build_and_install/docker_install_cn.html +++ b/develop/doc_cn/getstarted/build_and_install/docker_install_cn.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/getstarted/build_and_install/index_cn.html b/develop/doc_cn/getstarted/build_and_install/index_cn.html index 85ac6cab9ae79cce000b2929a09bbae3ca711b0f..f3d2ca3ca6ea7001d0c3ec81e65116571206c7da 100644 --- a/develop/doc_cn/getstarted/build_and_install/index_cn.html +++ b/develop/doc_cn/getstarted/build_and_install/index_cn.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/getstarted/concepts/use_concepts_cn.html b/develop/doc_cn/getstarted/concepts/use_concepts_cn.html index e009ad33d9ee16720bbc63828f35c04f9e401859..02b37055c17a45d79dbe9becbcdcdc1373230a23 100644 --- a/develop/doc_cn/getstarted/concepts/use_concepts_cn.html +++ b/develop/doc_cn/getstarted/concepts/use_concepts_cn.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/getstarted/index_cn.html b/develop/doc_cn/getstarted/index_cn.html index 753c0a2dda1a6846ca5fc40db62b9176005fac7a..e3ab554d43c4be0214284645f1acf6a19967b079 100644 --- a/develop/doc_cn/getstarted/index_cn.html +++ b/develop/doc_cn/getstarted/index_cn.html @@ -124,7 +124,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/howto/cross_compiling/cross_compiling_for_android_cn.html b/develop/doc_cn/howto/cross_compiling/cross_compiling_for_android_cn.html index ab647afc9c288645c7a7881d61c0dce39a621edd..41d9845343b4607b4a73e6a06cd90a13f657fde7 100644 --- a/develop/doc_cn/howto/cross_compiling/cross_compiling_for_android_cn.html +++ b/develop/doc_cn/howto/cross_compiling/cross_compiling_for_android_cn.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/howto/cross_compiling/cross_compiling_for_raspberry_cn.html b/develop/doc_cn/howto/cross_compiling/cross_compiling_for_raspberry_cn.html index 46cc230e95b3d79603d5d850f33b7fac32589a17..4c8f8afbcc68761e2fa0ec27748c3e950cbb8193 100644 --- a/develop/doc_cn/howto/cross_compiling/cross_compiling_for_raspberry_cn.html +++ b/develop/doc_cn/howto/cross_compiling/cross_compiling_for_raspberry_cn.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/howto/deep_model/rnn/hierarchical_layer_cn.html b/develop/doc_cn/howto/deep_model/rnn/hierarchical_layer_cn.html index c9a332767ffd477146ce386a3f1db475d4620850..3f6dc8097df190add74a83272f88267cb3fc49c4 100644 --- a/develop/doc_cn/howto/deep_model/rnn/hierarchical_layer_cn.html +++ b/develop/doc_cn/howto/deep_model/rnn/hierarchical_layer_cn.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/howto/deep_model/rnn/hrnn_rnn_api_compare_cn.html b/develop/doc_cn/howto/deep_model/rnn/hrnn_rnn_api_compare_cn.html index d5e4129a36de062e4c3772be1ba4af1b3ac75548..b7cbedc82aef3e936f856eb8b783422c3d3ea276 100644 --- a/develop/doc_cn/howto/deep_model/rnn/hrnn_rnn_api_compare_cn.html +++ b/develop/doc_cn/howto/deep_model/rnn/hrnn_rnn_api_compare_cn.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/howto/deep_model/rnn/index_cn.html b/develop/doc_cn/howto/deep_model/rnn/index_cn.html index e49714797e37445e60ed104a3580264bb8e05e50..973fb0129470268996d07dd0cc506bdc040afc4e 100644 --- a/develop/doc_cn/howto/deep_model/rnn/index_cn.html +++ b/develop/doc_cn/howto/deep_model/rnn/index_cn.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/howto/deep_model/rnn/recurrent_group_cn.html b/develop/doc_cn/howto/deep_model/rnn/recurrent_group_cn.html index 9638428c38643979f653fa845e624a211015848d..3a41c702cf9cc5d17541924d6e14eafba04f16e7 100644 --- a/develop/doc_cn/howto/deep_model/rnn/recurrent_group_cn.html +++ b/develop/doc_cn/howto/deep_model/rnn/recurrent_group_cn.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/howto/deep_model/rnn/rnn_config_cn.html b/develop/doc_cn/howto/deep_model/rnn/rnn_config_cn.html index e8bf609799c4b8308895195ab53fa4566bf675f8..c77e3e4015d004235918f9cf6efe7204c9e68bc7 100644 --- a/develop/doc_cn/howto/deep_model/rnn/rnn_config_cn.html +++ b/develop/doc_cn/howto/deep_model/rnn/rnn_config_cn.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/howto/dev/build_cn.html b/develop/doc_cn/howto/dev/build_cn.html index e79abbd8e26aefcf726dca5926ee56f7da3bdbc3..b2529fa9c49f69ec8d462f11fc65b4a4e6c35ed0 100644 --- a/develop/doc_cn/howto/dev/build_cn.html +++ b/develop/doc_cn/howto/dev/build_cn.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/howto/dev/contribute_to_paddle_cn.html b/develop/doc_cn/howto/dev/contribute_to_paddle_cn.html index 0f8254bdac279acbcf4665fb5cfdcce8c4b6ca36..43ed4e04a7ea3a609c56073adcc4febd244af5fa 100644 --- a/develop/doc_cn/howto/dev/contribute_to_paddle_cn.html +++ b/develop/doc_cn/howto/dev/contribute_to_paddle_cn.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/howto/dev/new_layer_cn.html b/develop/doc_cn/howto/dev/new_layer_cn.html index 0362f350cc15d0c918398dde383fa591a1a903bd..fc644249496beea0bce45ca7e65906691473b1e6 100644 --- a/develop/doc_cn/howto/dev/new_layer_cn.html +++ b/develop/doc_cn/howto/dev/new_layer_cn.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/howto/dev/new_op_cn.html b/develop/doc_cn/howto/dev/new_op_cn.html index 1956d080dadbf8fbfb64fbaf6b61eb8b4d17ef79..076f5041a9cc6cadbc8e8b5d9b1d46e36ad7305b 100644 --- a/develop/doc_cn/howto/dev/new_op_cn.html +++ b/develop/doc_cn/howto/dev/new_op_cn.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/howto/dev/use_eigen_cn.html b/develop/doc_cn/howto/dev/use_eigen_cn.html index 7579f7af1d9f9270e17e2803075e905b6b92c549..cf993b5f9b8fd8d85c4caec151eacf0ab55bc76d 100644 --- a/develop/doc_cn/howto/dev/use_eigen_cn.html +++ b/develop/doc_cn/howto/dev/use_eigen_cn.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/howto/dev/write_docs_cn.html b/develop/doc_cn/howto/dev/write_docs_cn.html index 703736902c14e60a2702060fb5fe1bf49db07634..557d75a76e32f802494f7ab7f711c38b25752200 100644 --- a/develop/doc_cn/howto/dev/write_docs_cn.html +++ b/develop/doc_cn/howto/dev/write_docs_cn.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/howto/index_cn.html b/develop/doc_cn/howto/index_cn.html index 9b5fcf15e5baed1f13f21f5af5547b8bae116cad..8a5ac2e8d1c843130b31341518b5d596980bc67e 100644 --- a/develop/doc_cn/howto/index_cn.html +++ b/develop/doc_cn/howto/index_cn.html @@ -124,7 +124,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
@@ -200,7 +204,11 @@@@ -196,139 +200,290 @@- 设置命令行参数 -
- 运行分布式训练 +
- PaddlePaddle分布式训练 +
- 概述 +
- 环境准备 +
- 启动参数说明 +
- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练 diff --git a/develop/doc_cn/howto/optimization/gpu_profiling_cn.html b/develop/doc_cn/howto/optimization/gpu_profiling_cn.html index 3e7149714576e8e607947277ae7c871a2a33a24a..5c5f595518b72efa1a26f7ebc7791359d718bce1 100644 --- a/develop/doc_cn/howto/optimization/gpu_profiling_cn.html +++ b/develop/doc_cn/howto/optimization/gpu_profiling_cn.html @@ -125,7 +125,11 @@
- 细节描述
- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/howto/usage/cluster/cluster_train_cn.html b/develop/doc_cn/howto/usage/cluster/cluster_train_cn.html index 8a0ed421530afc14b3a0843ded66837ded04a01c..1832948b195b2c5a08dde71db841910e42468f1e 100644 --- a/develop/doc_cn/howto/usage/cluster/cluster_train_cn.html +++ b/develop/doc_cn/howto/usage/cluster/cluster_train_cn.html @@ -8,7 +8,7 @@ -运行分布式训练 — PaddlePaddle 文档 +PaddlePaddle分布式训练 — PaddlePaddle 文档 @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
@@ -187,7 +191,7 @@- 进阶指南 >
-- 运行分布式训练
+- PaddlePaddle分布式训练
--运行分布式训练¶
-在本文中，我们将阐释如何在集群上运行分布式 Paddle 训练作业。我们将以推荐系统为例创建分布式的单进程训练。
-在本文中使用的脚本通过 SSH 运行分布式作业。 它们还可以供那些运行更复杂的集群管理系统（如 MPI 和 Kubernetes ）的用户参考。
--前提条件¶
--
-
上述脚本使用 Python 库 fabric 来运行 SSH 命令。 我们使用
-pip来安装 fabric:+-pip install fabric -
++PaddlePaddle分布式训练¶
+-
+
- 概述 +
- 环境准备 +
- 启动参数说明 -
我们需要在集群的所有节点上安装 PaddlePaddle。 如果要启用GPU，需要在
+/usr/local/cuda中安装 CUDA; 否则 Paddle 将在运行时报错。- 使用分布式计算平台或工具
-
+
- 使用Fabric启动集群作业
-
+
- 准备一个Linux集群 +
- 启动集群作业 +
- 终止集群作业 +
- 检查集群训练结果 +
- 检查模型输出 +
+ - 在OpenMPI集群中提交训练作业
-
+
- 准备OpenMPI集群 +
- 启动集群作业 +
- 在 [
+cluster_train/conf.py] 中设置ROOT_DIR， 该 ROOT_DIR 要在所有节点上存在。为了方便起见，我们通常在所有节点上创建一个 Unix 用户paddle，并设置ROOT_DIR=/home/paddle。这样，我们可以将 SSH 公钥写入/home/paddle/.ssh/authorized_keys，以便用户paddle可以 SSH 到所有节点而不用密码。- 在Kubernetes集群中提交训练作业 +
+ - 使用Fabric启动集群作业
++概述¶
+本文将介绍如何使用PaddlePaddle在不同的集群框架下完成分布式训练。分布式训练架构如下图所示：
+
+-
+
- 数据分片（Data shard): 用于训练神经网络的数据，被切分成多个部分，每个部分分别给每个trainer使用。 +
- 计算节点（Trainer）: 每个trainer启动后读取切分好的一部分数据，开始神经网络的“前馈”和“后馈”计算，并和参数服务器通信。在完成一定量数据的训练后，上传计算得出的梯度（gradients），然后下载优化更新后的神经网络参数（parameters）。 +
- 参数服务器（Parameter server）:每个参数服务器只保存整个神经网络所有参数的一部分。参数服务器接收从计算节点上传的梯度，并完成参数优化更新，再将更新后的参数下发到每个计算节点。 +
这样，通过计算节点和参数服务器的分布式协作，可以完成神经网络的SGD方法的训练。PaddlePaddle可以同时支持同步随机梯度下降（SGD）和异步随机梯度下降。
+在使用同步SGD训练神经网络时，PaddlePaddle使用同步屏障（barrier），使梯度的提交和参数的更新按照顺序方式执行。在异步SGD中，则并不会等待所有trainer提交梯度才更新参数，这样极大地提高了计算的并行性：参数服务器之间不相互依赖，并行地接收梯度和更新参数，参数服务器也不会等待计算节点全部都提交梯度之后才开始下一步，计算节点之间也不会相互依赖，并行地执行模型的训练。可以看出，虽然异步SGD方式会提高参数更新并行度, 但是并不能保证参数同步更新，在任意时间某一台参数服务器上保存的参数可能比另一台要更新，与同步SGD相比，梯度会有噪声。
++环境准备¶
+-
+
- 准备您的计算集群。计算集群通常由一组（几台到几千台规模）的Linux服务器组成。服务器之间可以通过局域网（LAN）联通，每台服务器具有集群中唯一的IP地址（或者可被DNS解析的主机名）。集群中的每台计算机通常被成为一个“节点”。 +
- 我们需要在集群的所有节点上安装 PaddlePaddle。 如果要启用GPU，还需要在节点上安装对应的GPU驱动以及CUDA。PaddlePaddle的安装可以参考build_and_install的多种安装方式。我们推荐使用Docker安装方式来快速安装PaddlePaddle。
安装完成之后，执行下面的命令可以查看已经安装的版本（docker安装方式可以进入docker容器执行：
+docker run -it paddlepaddle/paddle:[tag] /bin/bash）：++$ paddle version +PaddlePaddle 0.10.0, compiled with + with_avx: ON + with_gpu: OFF + with_double: OFF + with_python: ON + with_rdma: OFF + with_timer: OFF +下面以
doc/howto/usage/cluster/src/word2vec中的代码作为实例，介绍使用PaddlePaddle v2 API完成分布式训练。-准备工作空间¶
-我们将放置依赖库、配置等文件的目录视为 工作空间（workspace）。
-这些
-train/test数据应该在启动集群作业之前准备好。 为了满足训练/测试数据放置在工作空间中不同目录的要求，PADDLE 根据在模型配置文件中使用的名为train.list/test.list的索引文件引用训练/测试数据，所以训练/测试数据也包含 train.list/test.list 两个列表文件。所有本地训练 demo 已经提供了脚本来帮助您创建这两个文件，并且集群作业中的所有节点将在正常情况下处理具有相同逻辑代码的文件。通常，你可以使用本地训练中的相同模型文件进行集群训练。请记住，在模型文件的
-setting函数中设置的batch_size表示在集群作业每个节点中的 batch 大小，而不是使用同步 SGD 的总 batch 大小。以下步骤基于 demo 目录中的 demo/recommendation。
-你只需完成 demo/recommendation 教程文档到
-Train的部分，之后你会得到训练/测试数据和模型配置文件。最后，只需使用 demo/recommendation 作为集群训练的工作空间。最后，你的工作空间应如下所示：
--. -|-- common_utils.py -|-- data -| |-- config.json -| |-- config_generator.py -| |-- meta.bin -| |-- meta_config.json -| |-- meta_generator.py -| |-- ml-1m -| |-- ml_data.sh -| |-- ratings.dat.test -| |-- ratings.dat.train -| |-- split.py -| |-- test.list -| `-- train.list -|-- dataprovider.py -|-- evaluate.sh -|-- prediction.py -|-- preprocess.sh -|-- requirements.txt -|-- run.sh -`-- trainer_config.py +
启动参数说明¶
+++启动参数服务器¶
+执行以下的命令启动一个参数服务器并等待和计算节点的数据交互
+++$ paddle pserver --port=7164 --ports_num=1 --ports_num_for_sparse=1 --num_gradient_servers=1 +
如果希望可以在后台运行pserver程序，并保存输出到一个日志文件，可以运行：
+++$ stdbuf -oL /usr/bin/nohup paddle pserver --port=7164 --ports_num=1 --ports_num_for_sparse=1 --num_gradient_servers=1 &> pserver.log +
| 参数 | 是否必选 | 默认值 | 说明 | +| ————- | ————- | ————- | ————- | +| port | 必选 | 7164 | pserver监听的起始端口，根据ports_num决定
+
总端口个数，从起始端口监听多个端口用于通信 | +| ports_num | 必选 | 1 | 监听的端口个数 | +| ports_num_for_sparse | 必选 | 1 | 用于稀疏类型参数通信的端口个数 | +| num_gradient_servers | 必选 | 1 | 当前训练任务pserver总数 |++启动计算节点¶
+执行以下命令启动使用python编写的trainer程序（文件名为任意文件名，如train.py）
+++$ python train.py +
trainer需要和pserver保持网络联通以完成训练。trainer启动需要传入端口、pserver地址等参数使trainer可以正确连接到pserver。这些参数可以通过环境变量（https://zh.wikipedia.org/wiki/环境变量 ）或编写程序时
+paddle.init()中传入参数。如果同时使用paddle.init()参数和环境变量，将会优先使用paddle.init()中传入的参数。使用环境变量：
+++export PADDLE_INIT_USE_GPU=False +export PADDLE_INIT_TRAINER_COUNT=1 +export PADDLE_INIT_PORT=7164 +export PADDLE_INIT_PORTS_NUM=1 +export PADDLE_INIT_PORTS_NUM_FOR_SPARSE=1 +export PADDLE_INIT_NUM_GRADIENT_SERVERS=1 +export PADDLE_INIT_TRAINER_ID=0 +export PADDLE_INIT_PSERVERS=127.0.0.1 +
使用参数：
+++paddle.init( + use_gpu=False, + trainer_count=1, + port=7164, + ports_num=1, + ports_num_for_sparse=1, + num_gradient_servers=1, + trainer_id=0, + pservers="127.0.0.1") +
| 参数 | 是否必选 | 默认 | 说明 | +| ————- | ————- | ————- | ————- | +| use_gpu | 可选 | False | 是否启用GPU训练 | +| trainer_count | 必选 | 1 | 当前训练任务trainer总个数 | +| port | 必选 | 7164 | 连接到pserver的端口 | +| ports_num | 必选 | 1 | 连接到pserver的端口个数 | +| ports_num_for_sparse | 必选 | 1 | 和pserver之间用于稀疏类型参数通信的端口个数 | +| num_gradient_servers | 必选 | 1 | 当前训练任务pserver总数 | +| trainer_id | 必选 | 0 | 每个trainer的唯一ID，从0开始的整数 | +| pservers | 必选 | 127.0.0.1 | 当前训练任务启动的pserver的IP列表，多个IP使用“,”隔开 |
++准备数据集¶
+参考样例数据准备脚本prepare.py，准备训练数据和验证数据集，我们使用paddle.dataset.imikolov数据集，并根据分布式训练并发数（trainer节点个数），在
+prepare.py开头部分指定SPLIT_COUNT将数据切分成多份。在线上系统中，通常会使用MapReduce任务的输出结果作为训练结果，这样训练文件的个数会比较多，而且个数并不确定。在trainer中可以使用下面取模的方法为每个trainer分配训练数据文件：
+++import os +train_list = [] +flist = os.listdir("/train_data/") +for f in flist: + suffix = int(f.split("-")[1]) + if suffix % TRAINER_COUNT == TRAINER_ID: + train_list.append(f) +
示例程序
+prepare.py会把训练集和测试集分别分割成多个文件（例子中为3个，后缀为-00000、-00001和-00002）:-train.txt +train.txt-00000 +train.txt-00001 +train.txt-00002 +test.txt +test.txt-00000 +test.txt-00001 +test.txt-00002
虽然这些文件并非都需要集群训练，但是也没有必要删除无用的文件。
-
-trainer_config.py-表示模型配置文件。
-train.list和test.list-文件索引。它存储当前节点所有训练/测试数据的所有相对或绝对文件路径。
-dataprovider.py-用于读取训练/测试样本。这与本地训练相同。
+data-数据目录中的所有文件被 train.list/test.list 引用。在进行分布式训练时，每个trainer进程需要能够读取属于自己的一份数据。在一些分布式系统中，系统会提供一个分布式存储服务，这样保存在分布式存储中的数据可以被集群中的每个节点读取到。如果不使用分布式存储，则需要手动拷贝属于每个trainer节点的训练数据到对应的节点上。
+对于不同的训练任务，训练数据格式和训练程序的
reader()会大不相同，所以开发者需要根据自己训练任务的实际场景完成训练数据的分割和reader()的编写。-准备集群作业配置¶
-以下选项必须在 cluster_train/conf.py 中认真设置
-
-HOSTS所有节点运行集群作业的主机名或 IP 。你还可以将用户和 ssh 端口附加到主机名上，例如 root@192.168.100.17:9090。
-ROOT_DIR用于放置 JOB 工作空间目录的工作空间 ROOT 目录
-PADDLE_NIC集群通信通道的 NIC(Network Interface Card, 网络接口卡) 接口名称，例如以太网的 eth0，infiniband 的 ib0。
-PADDLE_PORT集群通信通道的端口号
-PADDLE_PORTS_NUM用于集群通信通道的端口数。 如果集群节点数量少（少于5〜6个节点），建议将其设置为较大，如2〜8，以获得更好的网络性能。
-PADDLE_PORTS_NUM_FOR_SPARSE用于 sparse remote updater 集群通信信道的端口数。如果使用 sparse remote update，则可以像PADDLE_PORTS_NUM一样设置。
-LD_LIBRARY_PATH为集群作业设置额外的 LD_LIBRARY_PATH。你可以使用它来设置 CUDA 库的路径。默认配置如下：
-++HOSTS = [ - "root@192.168.100.17", - "root@192.168.100.18", - ] - -''' -工作空间配置 -''' - -#工作空间根目录 -ROOT_DIR = "/home/paddle" - -''' -网络配置 -''' -#pserver NIC -PADDLE_NIC = "eth0" -#pserver 端口 -PADDLE_PORT = 7164 -#pserver 端口数 -PADDLE_PORTS_NUM = 2 -#pserver sparse ports num -PADDLE_PORTS_NUM_FOR_SPARSE = 2 - -#集群作业中所有进程的环境设置 -LD_LIBRARY_PATH="/usr/local/cuda/lib64:/usr/lib64" +
准备训练程序¶
+我们会对每个训练任务都会在每个节点上创建一个工作空间（workspace），其中包含了用户的训练程序、程序依赖、挂载或下载的训练数据分片。
+最后，工作空间应如下所示：
++. +|-- my_lib.py +|-- word_dict.pickle +|-- train.py +|-- train_data_dir/ +| |-- train.txt-00000 +| |-- train.txt-00001 +| |-- train.txt-00002 +`-- test_data_dir/ + |-- test.txt-00000 + |-- test.txt-00001 + `-- test.txt-00002
-
+
+my_lib.py：会被train.py调用的一些用户定义的库函数，比如PIL库等。
+
+word_dict.pickle：在train.py中会使用到的字典数据文件。
+
+train.py：训练程序，代码参考api_train_v2_cluster.py。注意： 对于本样例代码，在使用不同的分布式计算平台时，您可能需要修改train.py开头的部分（如下），以便获得训练数据的位置和获取环境变量配置：++cluster_train_file = "./train_data_dir/train/train.txt" +cluster_test_file = "./test_data_dir/test/test.txt" +node_id = os.getenv("OMPI_COMM_WORLD_RANK") +if not node_id: + raise EnvironmentError("must provied OMPI_COMM_WORLD_RANK") +
+
+train_data_dir：包含训练数据的目录，可以是从分布式存储挂载过来的，也可以是在任务启动前下载到本地的。
+
+test_data_dir：包含测试数据集的目录。
+
+diff --git a/develop/doc_cn/howto/usage/cmd_parameter/arguments_cn.html b/develop/doc_cn/howto/usage/cmd_parameter/arguments_cn.html index 663b9df23cd3eb36946049b2873a9bc7ae24982d..eea2c5cc990d69c0d2dec63f646af0f18c8be209 100644 --- a/develop/doc_cn/howto/usage/cmd_parameter/arguments_cn.html +++ b/develop/doc_cn/howto/usage/cmd_parameter/arguments_cn.html @@ -125,7 +125,11 @@使用分布式计算平台或工具¶
+PaddlePaddle可以使用多种分布式计算平台构建分布式计算任务，包括：
+-
+
- Kubernetes Google开源的容器集群的调度框架，支持大规模集群生产环境的完整集群方案。 +
- OpenMPI 成熟的高性能并行计算框架。 +
- Fabric 集群管理工具。可以使用
Fabric编写集群任务提交和管理脚本。
+
对于不同的集群平台，会分别介绍集群作业的启动和停止方法。这些例子都可以在cluster_train_v2找到。
+在使用分布式计算平台进行训练时，任务被调度在集群中时，分布式计算平台通常会通过API或者环境变量提供任务运行需要的参数，比如节点的ID、IP和任务节点个数等。
+++使用Fabric启动集群作业¶
++准备一个Linux集群¶
+可以在
+paddle/scripts/cluster_train_v2/fabric/docker_cluster目录下，执行kubectl -f ssh_servers.yaml启动一个测试集群，并使用kubectl get po -o wide获得这些节点的IP地址。-启动集群作业¶
-
+paddle.py提供了自动化脚本来启动不同节点中的所有 PaddlePaddle 集群进程。默认情况下，所有命令行选项可以设置为paddle.py命令选项并且paddle.py将透明、自动地将这些选项应用到 PaddlePaddle 底层进程。启动集群作业¶
+paddle.py提供了自动化脚本来启动不同节点中的所有 PaddlePaddle 集群进程。默认情况下，所有命令行选项可以设置为paddle.py命令选项并且paddle.py将透明、自动地将这些选项应用到 PaddlePaddle 底层进程。
-paddle.py为方便作业启动提供了两个独特的命令选项。
-job_dispatch_package设为本地workspace目录，它将被分发到 conf.py 中设置的所有节点。 它有助于帮助频繁修改和访问工作区文件的用户减少负担，否则频繁的多节点工作空间部署可能会很麻烦。 -job_workspace设为已部署的工作空间目录，paddle.py将跳过分发阶段直接启动所有节点的集群作业。它可以帮助减少分发延迟。
+cluster_train/run.sh提供了命令样例来运行demo/recommendation集群工作，只需用你定义的目录修改job_dispatch_package和job_workspace，然后：-
+
job_dispatch_package设为本地workspace目录，它将被分发到conf.py中设置的所有节点。它有助于帮助频繁修改和访问工作区文件的用户减少负担，否则频繁的多节点工作空间部署可能会很麻烦。
+job_workspace设为已部署的工作空间目录，paddle.py将跳过分发阶段直接启动所有节点的集群作业。它可以帮助减少分发延迟。
+
cluster_train/run.sh提供了命令样例来运行doc/howto/usage/cluster/src/word2vec集群任务，只需用您定义的目录修改job_dispatch_package和job_workspace，然后：sh run.sh
集群作业将会在几秒后启动。
-终止集群作业¶
+终止集群作业¶
paddle.py能获取Ctrl + CSIGINT 信号来自动终止它启动的所有进程。只需中断paddle.py任务来终止集群作业。如果程序崩溃你也可以手动终止。-检查集群训练结果¶
+检查集群训练结果¶
详细信息请检查 $workspace/log 里的日志，每一个节点都有相同的日志结构。
paddle_trainer.INFO提供几乎所有训练的内部输出日志，与本地训练相同。这里检验运行时间模型的收敛。paddle_pserver2.INFO提供 pserver 运行日志，有助于诊断分布式错误。
+提供 parameter server 进程的 stderr 和 stdout。训练失败时可以检查错误日志。server.log-提供 pserver 进程的 stderr 和 stdout。训练失败时可以检查错误日志。train.log提供训练过程的 stderr 和 stdout。训练失败时可以检查错误日志。++在OpenMPI集群中提交训练作业¶
+++准备OpenMPI集群¶
+执行下面的命令以启动3个节点的OpenMPI集群和一个”head”节点：
+++paddle/scripts/cluster_train_v2/openmpi/docker_cluster +kubectl create -f head.yaml +kubectl create -f mpi-nodes.yaml +
然后可以从head节点ssh无密码登录到OpenMPI的每个节点上。
+++启动集群作业¶
+您可以按照下面的步骤在OpenMPI集群中提交paddle训练任务：
+++# 获得head和node节点的IP地址 +kubectl get po -o wide +# 将node节点的IP地址保存到machines文件中 +kubectl get po -o wide | grep nodes | awk '{print $6}' > machines +# 拷贝必要的文件到head节点 +scp -i ssh/id_rsa.mpi.pub machines prepare.py train.py start_mpi_train.sh tutorial@[headIP]:~ +# ssh 登录到head节点 +ssh -i ssh/id_rsa.mpi.pub tutorial@[headIP] +# --------------- 以下操作均在head节点中执行 --------------- +# 准备训练数据 +python prepare.py +# 拷贝训练程序和字典文件到每台MPI节点 +cat machines | xargs -i scp word_dict.pickle train.py start_mpi_train.sh machines {}:/home/tutorial +# 创建日志目录 +mpirun -hostfile machines -n 3 mkdir /home/tutorial/logs +# 拷贝训练数据到各自的节点 +scp train.txt-00000 test.txt-00000 [node1IP]:/home/tutorial +scp train.txt-00001 test.txt-00001 [node2IP]:/home/tutorial +scp train.txt-00002 test.txt-00002 [node3IP]:/home/tutorial +# 启动训练任务 +mpirun -hostfile machines -n 3 /home/tutorial/start_mpi_train.sh +
- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/howto/usage/cmd_parameter/detail_introduction_cn.html b/develop/doc_cn/howto/usage/cmd_parameter/detail_introduction_cn.html index 4959e893d222368f24ca1a6ed76a98b3008f8273..02253f42f4a48b68d093a5518fbb59fe9466e233 100644 --- a/develop/doc_cn/howto/usage/cmd_parameter/detail_introduction_cn.html +++ b/develop/doc_cn/howto/usage/cmd_parameter/detail_introduction_cn.html @@ -34,7 +34,7 @@ - + @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
@@ -644,7 +648,7 @@ diff --git a/develop/doc_cn/howto/usage/k8s/k8s_cn.html b/develop/doc_cn/howto/usage/k8s/k8s_cn.html index 1a33b76430ed6c9a4e320316b36579cbc60a1c25..fd914a04e778783f2ff0c94ba56ce4c1579b9d4f 100644 --- a/develop/doc_cn/howto/usage/k8s/k8s_cn.html +++ b/develop/doc_cn/howto/usage/k8s/k8s_cn.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/howto/usage/k8s/k8s_distributed_cn.html b/develop/doc_cn/howto/usage/k8s/k8s_distributed_cn.html index 5591f9a3bd07f5e2f848e601cb7ad53c18933fcc..93d9ec28465a190be9c9eb25cddb1fe613e403db 100644 --- a/develop/doc_cn/howto/usage/k8s/k8s_distributed_cn.html +++ b/develop/doc_cn/howto/usage/k8s/k8s_distributed_cn.html @@ -125,7 +125,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/howto/usage/k8s/src/k8s_data/README.html b/develop/doc_cn/howto/usage/k8s/src/k8s_data/README.html index bfdba92bf51809ee2bbfc9054134468ae4736427..3dc00a70e3d18972955889c6f2b26f53324dc5df 100644 --- a/develop/doc_cn/howto/usage/k8s/src/k8s_data/README.html +++ b/develop/doc_cn/howto/usage/k8s/src/k8s_data/README.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/howto/usage/k8s/src/k8s_train/README.html b/develop/doc_cn/howto/usage/k8s/src/k8s_train/README.html index 3eadecc0d8194148e56cc12f2d373bfd9988d740..4d70f671c6f875eb90854d653491482ae804db18 100644 --- a/develop/doc_cn/howto/usage/k8s/src/k8s_train/README.html +++ b/develop/doc_cn/howto/usage/k8s/src/k8s_train/README.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/index_cn.html b/develop/doc_cn/index_cn.html index 00be7085025471dc0e1ac5d8e144fc3ceaafc5ca..cd0ef49adf80372d636f227a3565a5087d8e43e7 100644 --- a/develop/doc_cn/index_cn.html +++ b/develop/doc_cn/index_cn.html @@ -123,7 +123,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/objects.inv b/develop/doc_cn/objects.inv index e94f8759c4a5466909d9b3d1a7bd28cf7737eb49..6cf00ba7d6adb81a5a7d70b701903b51a01af7cc 100644 Binary files a/develop/doc_cn/objects.inv and b/develop/doc_cn/objects.inv differ diff --git a/develop/doc_cn/search.html b/develop/doc_cn/search.html index 8fae4fc8d6e322b093b8a4b01cfd581d08d34c38..a06aab937747288b82d26ee03b1cdc8549f0c1c7 100644 --- a/develop/doc_cn/search.html +++ b/develop/doc_cn/search.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/searchindex.js b/develop/doc_cn/searchindex.js index 89b28b216218937da54ae522c926b975f3c80a25..52ad53d4175915fdceb1212983aec40d46b5e7c6 100644 --- a/develop/doc_cn/searchindex.js +++ b/develop/doc_cn/searchindex.js @@ -1 +1 @@ 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\ No newline at end of file diff --git a/develop/doc_cn/survey/cluster_bootstrapping_tools.html b/develop/doc_cn/survey/cluster_bootstrapping_tools.html index e6a8970eda90dfeb3f67696742bb36b451b5641f..d39e5357a1341252f72a65abb24b0122c5163947 100644 --- a/develop/doc_cn/survey/cluster_bootstrapping_tools.html +++ b/develop/doc_cn/survey/cluster_bootstrapping_tools.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/v1_api_tutorials/README.html b/develop/doc_cn/v1_api_tutorials/README.html index 7162772d3abce57a5c74c7dbd76b20415fe7df7a..a8cc2d0993cbe311b4cb7d1bccc8ad3874401d4f 100644 --- a/develop/doc_cn/v1_api_tutorials/README.html +++ b/develop/doc_cn/v1_api_tutorials/README.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/v1_api_tutorials/embedding_model/index_cn.html b/develop/doc_cn/v1_api_tutorials/embedding_model/index_cn.html index cc35054298824af9405794ef3263bd02e4282b3e..32f90a688cca8fb3dff96113adab61f241a9240a 100644 --- a/develop/doc_cn/v1_api_tutorials/embedding_model/index_cn.html +++ b/develop/doc_cn/v1_api_tutorials/embedding_model/index_cn.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/v1_api_tutorials/imagenet_model/resnet_model_cn.html b/develop/doc_cn/v1_api_tutorials/imagenet_model/resnet_model_cn.html index 041d8a8050e71c98f24d47e4450cbbf9e54c8d7d..de6c21c79ca3196d8fb6b6d13f2b4d203de25264 100644 --- a/develop/doc_cn/v1_api_tutorials/imagenet_model/resnet_model_cn.html +++ b/develop/doc_cn/v1_api_tutorials/imagenet_model/resnet_model_cn.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
diff --git a/develop/doc_cn/v1_api_tutorials/quick_start/index_cn.html b/develop/doc_cn/v1_api_tutorials/quick_start/index_cn.html index 4ef8761a047c2cdeb54e074b29970e190f6cde86..87267ee2a954165e8475a173c340ae1514d3e0c9 100644 --- a/develop/doc_cn/v1_api_tutorials/quick_start/index_cn.html +++ b/develop/doc_cn/v1_api_tutorials/quick_start/index_cn.html @@ -122,7 +122,11 @@- 细节描述
-- 运行分布式训练
+- PaddlePaddle分布式训练
+- 概述
+- 环境准备
+- 启动参数说明
+- 使用分布式计算平台或工具
- Kubernetes 简介
- Kubernetes单机训练
- Kubernetes分布式训练
@@ -529,7 +533,7 @@ Momentum, RMSProp，AdaDelta，AdaGrad，ADAM，Adamax等，这里采用Adam优这里只简单介绍了单机训练，如何进行分布式训练，请参考 运行分布式训练 。
+这里只简单介绍了单机训练，如何进行分布式训练，请参考 cluster_train 。
预测¶