From ca79f901c48f438c0c9f7310396e1c2bbca5aa4b Mon Sep 17 00:00:00 2001 From: Travis CI Date: Wed, 14 Jun 2017 07:39:03 +0000 Subject: [PATCH] Deploy to GitHub Pages: 91f82aba5c8c26257c1bb742762ce95e19b296b8 --- .../remote_parameter_updater.md.txt | 21 ++ develop/doc/api/v2/run_logic.html | 2 +- .../remote_parameter_updater.html | 257 +++++++++++++++++ develop/doc/objects.inv | Bin 2279 -> 2315 bytes develop/doc/searchindex.js | 2 +- .../remote_parameter_updater.md.txt | 21 ++ develop/doc_cn/api/v2/run_logic.html | 2 +- .../remote_parameter_updater.html | 265 ++++++++++++++++++ develop/doc_cn/objects.inv | Bin 2761 -> 2798 bytes develop/doc_cn/searchindex.js | 2 +- 10 files changed, 568 insertions(+), 4 deletions(-) create mode 100644 develop/doc/_sources/design/cluster_train/remote_parameter_updater.md.txt create mode 100644 develop/doc/design/cluster_train/remote_parameter_updater.html create mode 100644 develop/doc_cn/_sources/design/cluster_train/remote_parameter_updater.md.txt create mode 100644 develop/doc_cn/design/cluster_train/remote_parameter_updater.html diff --git a/develop/doc/_sources/design/cluster_train/remote_parameter_updater.md.txt b/develop/doc/_sources/design/cluster_train/remote_parameter_updater.md.txt new file mode 100644 index 0000000000..6e8e593845 --- /dev/null +++ b/develop/doc/_sources/design/cluster_train/remote_parameter_updater.md.txt @@ -0,0 +1,21 @@ +# Design Doc: Remote Parameter Updater for Cluster Train + +For an overview of distribute training, please refer to [distributed training design doc](README.md). In this design doc, we will discuss the parameter updater that will use parameter server cclient [The Client Library of Parameter Server Design Doc](pserver_client.md) to manage and update parameters. + +## Parameter Updater + +Parameter Updater is used by trainer to manage and update parameter, there are mainly two kind of parameter updater: local and remote, since this design is for cluster train, we will only discuss remote parameter updater here. + +### Remote Parameter Updater + +Remote Parameter Updater manage parameters through remote parameter server with the client that communicate with pserver([The Client Library of Parameter Server Design Doc](pserver_client.md)) + +In PaddlePaddle Python V2 API, trainer is implemented in python, and the trainer will hold a instance of parameter updater and call it's functions directly. In this design, we will also expose the api of RemoteParameterUpdater to python with swig. + +#### Sparse Remote Parameter Updater + +Since we will only implement dense parameter management new, the mechanism for sparse parameter will be discussed in next stage. + +### Interface Design + +TBD diff --git a/develop/doc/api/v2/run_logic.html b/develop/doc/api/v2/run_logic.html index d90593601c..f35e36e4a6 100644 --- a/develop/doc/api/v2/run_logic.html +++ b/develop/doc/api/v2/run_logic.html @@ -375,7 +375,7 @@ Trainer.train.

Module Trainer

-class paddle.v2.trainer.SGD(cost, parameters, update_equation, extra_layers=None, is_local=True)
+class paddle.v2.trainer.SGD(cost, parameters, update_equation, extra_layers=None, is_local=True, pserver_spec=None)

Simple SGD Trainer. SGD Trainer combines data reader, network topolopy and update_equation together to train/test a neural network.

diff --git a/develop/doc/design/cluster_train/remote_parameter_updater.html b/develop/doc/design/cluster_train/remote_parameter_updater.html new file mode 100644 index 0000000000..1729e4fef3 --- /dev/null +++ b/develop/doc/design/cluster_train/remote_parameter_updater.html @@ -0,0 +1,257 @@ + + + + + + + + + + + Design Doc: Remote Parameter Updater for Cluster Train — PaddlePaddle documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
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+ Folk me on Github +
+ + English + + + + +
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  • Design Doc: Remote Parameter Updater for Cluster Train
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+

Design Doc: Remote Parameter Updater for Cluster Train

+

For an overview of distribute training, please refer to distributed training design doc. In this design doc, we will discuss the parameter updater that will use parameter server cclient The Client Library of Parameter Server Design Doc to manage and update parameters.

+
+

Parameter Updater

+

Parameter Updater is used by trainer to manage and update parameter, there are mainly two kind of parameter updater: local and remote, since this design is for cluster train, we will only discuss remote parameter updater here.

+
+

Remote Parameter Updater

+

Remote Parameter Updater manage parameters through remote parameter server with the client that communicate with pserver(The Client Library of Parameter Server Design Doc)

+

In PaddlePaddle Python V2 API, trainer is implemented in python, and the trainer will hold a instance of parameter updater and call it’s functions directly. In this design, we will also expose the api of RemoteParameterUpdater to python with swig.

+
+

Sparse Remote Parameter Updater

+

Since we will only implement dense parameter management new, the mechanism for sparse parameter will be discussed in next stage.

+
+
+
+

Interface Design

+

TBD

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+ +
+

+ © Copyright 2016, PaddlePaddle developers. + +

+
+ Built with Sphinx using a theme provided by Read the Docs. + +
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\ No newline at end of file diff --git a/develop/doc_cn/_sources/design/cluster_train/remote_parameter_updater.md.txt b/develop/doc_cn/_sources/design/cluster_train/remote_parameter_updater.md.txt new file mode 100644 index 0000000000..6e8e593845 --- /dev/null +++ b/develop/doc_cn/_sources/design/cluster_train/remote_parameter_updater.md.txt @@ -0,0 +1,21 @@ +# Design Doc: Remote Parameter Updater for Cluster Train + +For an overview of distribute training, please refer to [distributed training design doc](README.md). In this design doc, we will discuss the parameter updater that will use parameter server cclient [The Client Library of Parameter Server Design Doc](pserver_client.md) to manage and update parameters. + +## Parameter Updater + +Parameter Updater is used by trainer to manage and update parameter, there are mainly two kind of parameter updater: local and remote, since this design is for cluster train, we will only discuss remote parameter updater here. + +### Remote Parameter Updater + +Remote Parameter Updater manage parameters through remote parameter server with the client that communicate with pserver([The Client Library of Parameter Server Design Doc](pserver_client.md)) + +In PaddlePaddle Python V2 API, trainer is implemented in python, and the trainer will hold a instance of parameter updater and call it's functions directly. In this design, we will also expose the api of RemoteParameterUpdater to python with swig. + +#### Sparse Remote Parameter Updater + +Since we will only implement dense parameter management new, the mechanism for sparse parameter will be discussed in next stage. + +### Interface Design + +TBD diff --git a/develop/doc_cn/api/v2/run_logic.html b/develop/doc_cn/api/v2/run_logic.html index aa446d26b7..5269a0e5a8 100644 --- a/develop/doc_cn/api/v2/run_logic.html +++ b/develop/doc_cn/api/v2/run_logic.html @@ -382,7 +382,7 @@ Trainer.train.

Module Trainer

-class paddle.v2.trainer.SGD(cost, parameters, update_equation, extra_layers=None, is_local=True)
+class paddle.v2.trainer.SGD(cost, parameters, update_equation, extra_layers=None, is_local=True, pserver_spec=None)

Simple SGD Trainer. SGD Trainer combines data reader, network topolopy and update_equation together to train/test a neural network.

diff --git a/develop/doc_cn/design/cluster_train/remote_parameter_updater.html b/develop/doc_cn/design/cluster_train/remote_parameter_updater.html new file mode 100644 index 0000000000..d74e69dc3e --- /dev/null +++ b/develop/doc_cn/design/cluster_train/remote_parameter_updater.html @@ -0,0 +1,265 @@ + + + + + + + + + + + Design Doc: Remote Parameter Updater for Cluster Train — PaddlePaddle 文档 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+
+ Folk me on Github +
+ + English + + + + +
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+ + + + +
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  • Design Doc: Remote Parameter Updater for Cluster Train
    • +
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+ +
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+ +
+

Design Doc: Remote Parameter Updater for Cluster Train

+

For an overview of distribute training, please refer to distributed training design doc. In this design doc, we will discuss the parameter updater that will use parameter server cclient The Client Library of Parameter Server Design Doc to manage and update parameters.

+
+

Parameter Updater

+

Parameter Updater is used by trainer to manage and update parameter, there are mainly two kind of parameter updater: local and remote, since this design is for cluster train, we will only discuss remote parameter updater here.

+
+

Remote Parameter Updater

+

Remote Parameter Updater manage parameters through remote parameter server with the client that communicate with pserver(The Client Library of Parameter Server Design Doc)

+

In PaddlePaddle Python V2 API, trainer is implemented in python, and the trainer will hold a instance of parameter updater and call it’s functions directly. In this design, we will also expose the api of RemoteParameterUpdater to python with swig.

+
+

Sparse Remote Parameter Updater

+

Since we will only implement dense parameter management new, the mechanism for sparse parameter will be discussed in next stage.

+
+
+
+

Interface Design

+

TBD

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+ © Copyright 2016, PaddlePaddle developers. + +

+
+ Built with Sphinx using a theme provided by Read the Docs. + +
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