test=develop

* Add picture for deploy_ctr_on_baidu_cloud_cn.rst

* Baidu yun K8S + Volcano CTR Training Document 1.0

* Add ctr_pserver_log.png for deploy_ctr_on_baidu_cloud_cn.rst

* Update deploy_ctr_on_baidu_cloud_cn.rst

* Update deploy_ctr_on_baidu_cloud_cn.rst

* Add pserver-log

* Update deploy_ctr_on_baidu_cloud_cn.rst

* chanage image of kubectl download version from 1.13.3 to  1.13.4

* Update deploy_ctr_on_baidu_cloud_cn.rst

* Update deploy_ctr_on_baidu_cloud_cn.rst

Update on Sept 18. 
remove description of helm, tiller, Go install.
replace new yaml provided by Jinghui Zhang

* add some images

* Update deploy_ctr_on_baidu_cloud_cn.rst

add model output manipulation part

* Update deploy_ctr_on_baidu_cloud_cn.rst

* update deploy ctr on baidu cloud cn.rst

* auto convert from md

* Update deploy_ctr_on_baidu_cloud_cn.rst

* replace the overview.png

* Update deploy_ctr_on_baidu_cloud_cn.rst

* Update deploy_ctr_on_baidu_cloud_cn.rst

* Delete train_on_baidu_cloud_en.rst

it is outdated and cannot match with Chinese Version for months.

* Delete train_on_baidu_cloud_cn.rst

Has been replaced by ELASTIC CTR

* Update deploy_ctr_on_baidu_cloud_cn.rst

* Update deploy_ctr_on_baidu_cloud_cn.rst

* Update deploy_ctr_on_baidu_cloud_cn.rst

* Update deploy_ctr_on_baidu_cloud_cn.rst

* add GetExpectedKernelType func override tule to op_notes

* add examples url

* add exemples to whether override method

* polish description

* polish doc based review comments

* Polish cn doc fo gru_unit, lstm_unit and scaled_dot_product_attention.

* Add gather_tree_cn.rst and update the data type of assign/fill_constant_batch_size_like/gather_nd.

* Fix _cn_api_fluid_layers_gather_tree

* Update tensor_array_to_tensor and add mse_loss.

* fix Layer and Pool2D api, test=develop

* update label_smooth_cn.rst, test=develop

* add C-API inference document and provide demo in the doc

重新组织了"新手入门>编程指南"中文文档，去掉了部分基础概念的详细介绍，比如Tensor，program等，本文档中更加注重对paddle静态图使用方式的说明

* add cn docs, test=develop

* refine docs, test=develop

* add program doc, test=develop

* fix links, test=develop

* fix links, test=develop

* fix links, test=develop

* fix links, test=develop

* Fluid -> Paddle, test=develop

* Fluid -> Paddle, test=develop

* minor fix, test=develop

* minor fix, test=develop

* add save load save_dygraph load_dygraph, test=develop

* add .idea in gitignore, test=develop

* minor fix, test=develop

* doc refines, test=develop

* doc refines, test=develop

* update 1_6 release

* fix readme
test=document_preview

* add new tree index

Fix the DOC of Windows compile , install and inference lib.

The cmake command for the Windows build installation should be modified.
Support download link for inference library of cuda10, update 1.5.2 download link for inference library.

* add new seq2seq api_cn, test=document_preview

* add seq2seq api_cn, test=document_preview

* add seq2seq api_cn, test=document_preview

* update compile_CentOS.md for compile in GPU, test=develop

* update compile_CentOS.md for compile in GPU, test=develop

* update compile_CentOS.md for compile in GPU, test=develop

* add stop_gradient notes in Dygraph, test=develop

* add stop_gradient notes in Dygraph, test=develop

* polish code in Dygraph, test=develop

* polish code in Dygraph, test=develop

* polish code in Dygraph, test=develop

* add Automatic pruning in Dygraph, test=develop

* imporve windows inference lib doc

* update sample images for c runtime library part of english version

modify fluid.layers.data to fluid.data and Synchronize Chinese doc and English doc

* fix Dygraph cn sample code, test=develop

* fix Dygraph doc format, test=develop

Fix fluid.layers.data of example code, Synchronize Chinese and English DOC of API:layers.sum.

* Remove benchmark from index.

* Refine the format of begin.
test=develop

* Refine the Chinese documentation of DynamicRNN.
test=develop
test=document_preview

* Refine the memory interface of DynamicRNN.
test=develop
test=document_preview

* Refine update_memory and output of DynamicRNN.
test=develop
test=document_preview

* Update the format of note and fix a error in example.
test=document_preview

* Add name and correct some examples.

* Refine the documentation according to the review comments.

* Add function list and the doc of function __call__.

* Add optional for x in step_input.
test=develop

* Update sub-titles.

* Change fluid.layers.data in examples to fluid.data.

* Add examples for step and static input.
test=develop

* Refine some sentences.
test=develop

* Add description of shape and data type for input and output variables.
test=develop

* fix apis, test=document_preview

* fix apis, test=document_preview

* fix apis, test=document_preview

* fix apis, test=document_preview

test=develop

new document to upload in this PR

the previous doc talks about how to run CTR training on Baidu Cloud K8S Cluster.

the new doc are modified in following points.

1.Run CTR Training on Baidu Cloud K8S + Huawei Volcano
2.Auto Split CTR model into sparse ones and dense ones.
3.Cube auto fetch Sparse model, Serving auto fetch dense model.
4.provide paddle serving client to test the ctr prediction.