Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into quantize_op_fix2

doc/fluid/new_docs/beginners_guide/basics/image_classification/.gitignore

-*.pyc
-train.log
-output
-data/cifar-10-batches-py/
-data/cifar-10-python.tar.gz
-data/*.txt
-data/*.list
-data/mean.meta

doc/fluid/new_docs/beginners_guide/basics/index.rst

@@ -6,13 +6,13 @@
 ..  todo::
 
     概述
-    
+
 ..  toctree::
     :maxdepth: 2
 
-    image_classification/index.md
-    word2vec/index.md
-    recommender_system/index.md
-    understand_sentiment/index.md
-    label_semantic_roles/index.md
-    machine_translation/index.md
+    image_classification/README.cn.md
+    word2vec/README.cn.md
+    recommender_system/README.cn.md
+    understand_sentiment/README.cn.md
+    label_semantic_roles/README.cn.md
+    machine_translation/README.cn.md

doc/fluid/new_docs/beginners_guide/basics/label_semantic_roles/.gitignore

-data/train.list
-data/test.*
-data/conll05st-release.tar.gz
-data/conll05st-release
-data/predicate_dict
-data/label_dict
-data/word_dict
-data/emb
-data/feature
-output
-predict.res
-train.log

doc/fluid/new_docs/beginners_guide/basics/machine_translation/.gitignore

-data/wmt14
-data/pre-wmt14
-pretrained/wmt14_model
-gen.log
-gen_result
-train.log
-dataprovider_copy_1.py
-*.pyc
-multi-bleu.perl

doc/fluid/new_docs/beginners_guide/basics/recommender_system/.gitignore

-.idea
-.ipynb_checkpoints

doc/fluid/new_docs/beginners_guide/basics/understand_sentiment/.gitignore

-data/aclImdb
-data/imdb
-data/pre-imdb
-data/mosesdecoder-master
-*.log
-model_output
-dataprovider_copy_1.py
-model.list
-*.pyc
-.DS_Store

doc/fluid/new_docs/beginners_guide/basics/word2vec/.gitignore

-data/train.list
-data/test.list
-data/simple-examples*

doc/fluid/new_docs/beginners_guide/install/install_doc.rst

@@ -57,7 +57,28 @@ paddlepaddle-gpu==0.11.0            使用CUDA 7.5和cuDNN 5编译的0.11.0版
 您可以在 `Release History <https://pypi.org/project/paddlepaddle-gpu/#history>`_
 中找到paddlepaddle-gpu的各个发行版本。
 
-如果需要获取并安装最新的PaddlePaddle开发分支，可以从我们的 `CI系统 <https://paddleci.ngrok.io/project.html?projectId=Manylinux1&tab=projectOverview>`_ 中下载最新的whl安装包和c-api开发包并安装。如需登录，请点击“Log in as guest”。
+如果需要获取并安装最新的（开发分支）PaddlePaddle，可以从我们的CI系统中下载最新的whl
+安装包和c-api开发包并安装，您可以从下面的表格中找到需要的版本：
+
+如果在点击下面链接时出现如下登陆界面，点击“Log in as guest”即可开始下载：
+
+.. image:: paddleci.png
+   :scale: 50 %
+   :align: center
+
+..  csv-table:: 各个版本最新的whl包
+    :header: "版本说明", "cp27-cp27mu", "cp27-cp27m"
+    :widths: 1, 3, 3
+
+    "stable_cuda9.0_cudnn7", "`paddlepaddle_gpu-0.14.0-cp27-cp27mu-manylinux1_x86_64.whl <https://files.pythonhosted.org/packages/ee/ee/5d96e99d4a6d57bd1a7a8c4c98124a5ba0f6f0e07f38f4cee1365e0d9734/paddlepaddle_gpu-0.14.0-cp27-cp27mu-manylinux1_x86_64.whl>`__", "`paddlepaddle_gpu-0.14.0-cp27-cp27m-manylinux1_x86_64.whl <https://files.pythonhosted.org/packages/2e/65/3c1e44417dfc4afc7004f4db06789876b1237a0b6b234e0bd4213f3258b7/paddlepaddle_gpu-0.14.0-cp27-cp27m-manylinux1_x86_64.whl>`__"
+    "stable_cuda8.0_cudnn7", "`paddlepaddle_gpu-0.14.0.post87-cp27-cp27mu-manylinux1_x86_64.whl <https://files.pythonhosted.org/packages/a1/eb/261d920ede38d4b2b8dfb5817d7f7d25c526b1a70260f23312ad6029c0d3/paddlepaddle_gpu-0.14.0.post87-cp27-cp27mu-manylinux1_x86_64.whl>`__", "`paddlepaddle_gpu-0.14.0.post87-cp27-cp27m-manylinux1_x86_64.whl <https://files.pythonhosted.org/packages/54/1d/2c2a5c8665634b47fa925839108752611202a7c08ba4d65c2ee79f825a0e/paddlepaddle_gpu-0.14.0.post87-cp27-cp27m-manylinux1_x86_64.whl>`__"
+    "stable_cuda8.0_cudnn5", "`paddlepaddle_gpu-0.14.0.post85-cp27-cp27mu-manylinux1_x86_64.whl <https://files.pythonhosted.org/packages/60/50/94d16d34976f06b3cd8818d9b7bf40a9ff16bc48120ac9254d976f8ffc35/paddlepaddle_gpu-0.14.0.post85-cp27-cp27mu-manylinux1_x86_64.whl>`__", "`paddlepaddle_gpu-0.14.0.post85-cp27-cp27m-manylinux1_x86_64.whl <https://files.pythonhosted.org/packages/24/dd/25c1db09524f654c80baa83e7aafdd67109449bd5b500964f4005047dcf8/paddlepaddle_gpu-0.14.0.post85-cp27-cp27m-manylinux1_x86_64.whl>`__"
+    "cpu_avx_mkl", "`paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxCp27cp27mu/845:id/paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl>`__", "`paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxCp27cp27mu/845:id/paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl>`__"
+    "cpu_avx_openblas", "`paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxOpenblas/846:id/paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl>`__", "`paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxOpenblas/846:id/paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl>`__"
+    "cpu_noavx_openblas", "`paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_CpuNoavxOpenblas/847:id/paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl>`__", "`paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_CpuNoavxOpenblas/847:id/paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl>`_"
+    "cuda8.0_cudnn5_avx_mkl", "`paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_Cuda80cudnn5cp27cp27mu/841:id/paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl>`__", "`paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_Cuda80cudnn5cp27cp27mu/841:id/paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl>`__"
+    "cuda8.0_cudnn7_avx_mkl", "`paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_Cuda8cudnn7cp27cp27mu/843:id/paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl>`__", "`paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_Cuda8cudnn7cp27cp27mu/843:id/paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl>`__"
+    "cuda9.0_cudnn7_avx_mkl", "`paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_Cuda90cudnn7avxMkl/842:id/paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl>`__", "`paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_Cuda90cudnn7avxMkl/842:id/paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl>`__"
 
 .. _FAQ:
 

paddle/fluid/API.spec

@@ -36,6 +36,7 @@ paddle.fluid.default_startup_program ArgSpec(args=[], varargs=None, keywords=Non
 paddle.fluid.default_main_program ArgSpec(args=[], varargs=None, keywords=None, defaults=None)
 paddle.fluid.program_guard ArgSpec(args=[], varargs='args', keywords='kwds', defaults=None)
 paddle.fluid.get_var ArgSpec(args=['name', 'program'], varargs=None, keywords=None, defaults=(None,))
+paddle.fluid.name_scope ArgSpec(args=[], varargs='args', keywords='kwds', defaults=None)
 paddle.fluid.Executor.__init__ ArgSpec(args=['self', 'place'], varargs=None, keywords=None, defaults=None)
 paddle.fluid.Executor.close ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None)
 paddle.fluid.Executor.run ArgSpec(args=['self', 'program', 'feed', 'fetch_list', 'feed_var_name', 'fetch_var_name', 'scope', 'return_numpy', 'use_program_cache'], varargs=None, keywords=None, defaults=(None, None, None, 'feed', 'fetch', None, True, False))

paddle/fluid/framework/executor.h

@@ -60,6 +60,7 @@ class Executor {
   void Run(const ProgramDesc& prog, Scope* scope, int block_id,
            bool create_local_scope = true, bool create_vars = true);
 
+  // This API is very slow.
   void Run(const ProgramDesc& program, Scope* scope,
            std::map<std::string, const LoDTensor*>* feed_targets,
            std::map<std::string, LoDTensor*>* fetch_targets,
@@ -79,6 +80,7 @@ class Executor {
                           bool create_local_scope = true,
                           bool create_vars = true, bool keep_kids = false);
 
+  // This API is very slow.
   void RunPreparedContext(ExecutorPrepareContext* ctx, Scope* scope,
                           std::map<std::string, const LoDTensor*>* feed_targets,
                           std::map<std::string, LoDTensor*>* fetch_targets,