From 9b1461a41c1c7bfa84a1ca7cbfdc401891e25c2d Mon Sep 17 00:00:00 2001 From: Travis CI Date: Fri, 21 Apr 2017 07:43:41 +0000 Subject: [PATCH] Deploy to GitHub Pages: f979b126c1dc0494eca04e9c536b1e0a281c4bab --- ...y_plain_c.md.txt => 00.why_plain_c.md.txt} | 20 +- .../01.inference_implementation.md.txt | 131 ++++++ .../{why_plain_c.html => 00.why_plain_c.html} | 22 +- .../01.inference_implementation.html | 413 +++++++++++++++++ develop/doc/objects.inv | Bin 2340 -> 2397 bytes develop/doc/searchindex.js | 2 +- ...y_plain_c.md.txt => 00.why_plain_c.md.txt} | 20 +- .../01.inference_implementation.md.txt | 131 ++++++ .../{why_plain_c.html => 00.why_plain_c.html} | 22 +- .../01.inference_implementation.html | 421 ++++++++++++++++++ develop/doc_cn/objects.inv | Bin 2808 -> 2849 bytes develop/doc_cn/searchindex.js | 2 +- 12 files changed, 1140 insertions(+), 44 deletions(-) rename develop/doc/_sources/design/multi_language_interface/{why_plain_c.md.txt => 00.why_plain_c.md.txt} (94%) create mode 100644 develop/doc/_sources/design/multi_language_interface/01.inference_implementation.md.txt rename develop/doc/design/multi_language_interface/{why_plain_c.html => 00.why_plain_c.html} (94%) create mode 100644 develop/doc/design/multi_language_interface/01.inference_implementation.html rename develop/doc_cn/_sources/design/multi_language_interface/{why_plain_c.md.txt => 00.why_plain_c.md.txt} (94%) create mode 100644 develop/doc_cn/_sources/design/multi_language_interface/01.inference_implementation.md.txt rename develop/doc_cn/design/multi_language_interface/{why_plain_c.html => 00.why_plain_c.html} (94%) create mode 100644 develop/doc_cn/design/multi_language_interface/01.inference_implementation.html diff --git a/develop/doc/_sources/design/multi_language_interface/why_plain_c.md.txt b/develop/doc/_sources/design/multi_language_interface/00.why_plain_c.md.txt similarity index 94% rename from develop/doc/_sources/design/multi_language_interface/why_plain_c.md.txt rename to develop/doc/_sources/design/multi_language_interface/00.why_plain_c.md.txt index a3f41ca7b93..a1443093342 100644 --- a/develop/doc/_sources/design/multi_language_interface/why_plain_c.md.txt +++ b/develop/doc/_sources/design/multi_language_interface/00.why_plain_c.md.txt @@ -58,32 +58,32 @@ typedef void* paddle_matrix; typedef int paddle_error; extern "C" -paddle_error paddle_matrix_shape(paddle_matrix matrix, - uint64_t* width, - uint64_t* height); +paddle_error paddle_matrix_get_shape(paddle_matrix matrix, + uint64_t* width, + uint64_t* height); ``` 而在CPP里面实现这个C的接口，文件 `paddle_matrix.cpp` ```cpp -#include "paddle/math/matrix.hpp" +#include "paddle/math/matrix.h" extern "C" paddle_error paddle_matrix_shape(paddle_matrix matrix, uint64_t *width, uint64_t *height) { - auto m = (paddle::math::matrix*)(matrix); + auto m = (paddle::capi::CMatrix*)(matrix); *width = m->width(); *height = m->height(); } ``` -其中`paddle/math/matrix.hpp`文件内容为: +其中`paddle/capi/CMatrix.hpp`文件内容为: ```cpp namespace paddle { namespace math { -class Matrix { - //... +class CMatrix { + std::shared_ptr mat; }; } // namespace math @@ -113,6 +113,6 @@ class Matrix { | 手写多语言绑定 | 不使用SWIG | 使用SWIG需要多语言绑定的开发人员熟练掌握SWIG配置，社区参与困难。SWIG生成的代码不能保证多语言代码风格的一致性 | -## 简单实现 +## 实现 -TBD +参考[Inference implementation](01.inference_implementation.md) diff --git a/develop/doc/_sources/design/multi_language_interface/01.inference_implementation.md.txt b/develop/doc/_sources/design/multi_language_interface/01.inference_implementation.md.txt new file mode 100644 index 00000000000..98202845232 --- /dev/null +++ b/develop/doc/_sources/design/multi_language_interface/01.inference_implementation.md.txt @@ -0,0 +1,131 @@ +# C-API 模型推断实现文档 + +本文档描述Paddle C-API的实现细节。Paddle C-API是多语言API的基础部分。Paddle需要暴露的API很多。先实现模型推断的API，通过模型推断API的实现作为一个样例，来进行讨论。至于为什么需要C-API，请参考[Why Plain C](./00.why_plain_c.md)。 + +## Table of Contents + * [C-API 模型推断实现文档](#c-api-模型推断实现文档) + * [暴露接口原则](#暴露接口原则) + * [目录结构](#目录结构) + * [实现方式](#实现方式) + * [capi.h](#capih) + * [具体某种类型的头文件](#具体某种类型的头文件) + * [capi_private.h](#capi_privateh) + * [具体某种类型的实现文件](#具体某种类型的实现文件) + * [libpaddle_capi_shared.{so, dylib}](#libpaddle_capi_sharedso-dylib) + * [libpaddle_capi_whole.a](#libpaddle_capi_wholea) + * [examples](#examples) + * [编译选项](#编译选项) + + +## 暴露接口原则 + +1. 所有的接口均为C接口。即使用`extern "C"` +2. 除构造某种类型的函数(`paddle_matrix_create`等)，其他函数均返回`paddle_error`。且调用时不能抛出异常或出现运行时错误。 +3. 所有类型名为`paddle_类型名`，所有与类型相关的函数，函数名为`paddle_类型名_函数名` +4. 如果某一个Paddle Core概念(GradientMachine/Matrix)需要被暴露到其他语言，那么 + * 为了暴露的接口尽量简单。只暴露概念的接口，而不暴露概念的实现。即暴露`GradientMachine`或者`Matrix`但不暴露`RecurrentGradientMachine`和`CpuSparseMatrix`。 + * 暴露这个概念必要函数。`必要`是指，即完成某一个任务的最少函数。 +5. 不在`capi`接口层做过多封装。 + * 如果某一个Paddle概念必须要暴露，但是又过于琐碎。不在`capi`这一层进行封装，而是直接修改Paddle Core。让Paddle核心中，这一概念不再琐碎。 + + +## 目录结构 + +```text +Paddle + `-- paddle + `-- capi + `-- examples # The example project for C-API. + `-- tests # unittests for C-API + `-- capi.h # C-API header file. + `-- capi_private.h # The shared header file between implementation sources. + `-- matrix.{h, cpp} + `-- gradient_machine.{h, cpp} + `-- ... +``` + + +Paddle的C-API目录结构如上图表所示。这个目录中除了`capi_private.h`之外的所有头文件，均会被安装到include/paddle路径下。C-API生成的二进制文件会被安装到`lib`目录下。即，安装后的目录结构为 + +```text +`-- include + `-- paddle + `-- capi.h + `-- matrix.h + `-- gradient_machine.h + `-- ... +`-- lib + `-- libpaddle_capi_shared.{so, dylib} # In mac, dynamic libary's file name extention is `dylib` + `-- libpaddle_capi_whole.a # static library for all symbols of Paddle. +``` + +## 实现方式 + +下面分别介绍某一类文件的实现方式。 + +### capi.h + +`capi.h`是用户使用C-API时所唯一需要引入的头文件。在`capi.h`中，引入了类型的头文件，`matrix.h`, `gradient_machine.h`。在引入其他类型的头文件时，使用相对路径的引用方式。即`#include "matrix.h"` + +### 具体某种类型的头文件 + +具体某种类型的头文件，即例如`matrix.h`，`gradient_machine.h`等。在这些头文件中，包含了某种类型的类型定义和暴露的全部函数。 + +这个头文件不假设其他文件的引用顺序，即使用户直接引用某种类型的头文件，也不应该报错(虽然不鼓励这样)。如果某一个类型需要引用另一个类型，例如`gradient_machine`需要引用`matrix`，则直接引入另一种类型的头文件，即`#include "matrix.h"`。 + +### capi_private.h + +`capi_prviate.h`是各个实现中共享的头文件，他主要包含了实际暴露的类型结构。在用户使用C-API时，Paddle的类型全部退化成`void *`，即`typedef paddle_matrix void*`。但，对于每种C-API暴露的类型，均是在`capi_private.h`中实现的结构体。 + +```cpp +struct CMatrix { + int type = MatrixType; + std::shared_ptr mat; +}; +``` + +通常，这个结构体包含两个项目。 + +* `type`是一个类型的标志。对于每种类型，type字段均不尽相同。这样，即使C-API接受的类型全是`void *`，我们也可以确定每一个参数的类型。 + + ```cpp + void some_c_api_function(void* some_instance) { + int* type = (int *) some_instance; + switch (*type) { + case MatrixType: + CMatrix* mat = (CMatrix *) some_instance; + ... + ... + } + } + ``` +* 这个结构体中的另一个项目是，Paddle Core中这一类型接口的智能指针(shared_ptr)。 + * 使用智能指针的原因是: 用户可以安全的释放某个C-API的实例，而不必在意Paddle Core是否还在使用这个实例。 + * 例如，用户通过C-API获得了神经网络的参数实例。当用户使用完这个参数后，直接删除这个参数即可。即便Paddle Core中的模型还在使用这个参数，这个参数也不会一并删除。 + +### 具体某种类型的实现文件 + +具体某种类型的实现文件，即`matrix.cpp`, `gradient_machine.cpp`等文件。在这些文件中，使用C++ 11实现了C-API的接口，并且使用`extern "C"`导出这些接口。在实现过程中，对输入参数的安全性进行了必要的判断，并将C-API接口的参数转发给`Paddle Core`。 + +### libpaddle\_capi_shared.{so, dylib} + +`libpaddle_capi_shared`是C-API导出的动态库。这个动态库的连接参数与Paddle的其他二进制(例如`paddle_trainer`)类似。用户可以直接使用这个动态库来引入Paddle C-API。具体使用方法为`-lpaddle_capi_shared`。 + +### libpaddle\_capi_whole.a + +`libpaddle_capi_whole`是C-API导出的静态库。这个静态库包含了Paddle的全部符号。他是将`libpaddle_gserver.a`, `libpaddle_math.a`, `libpaddle_capi.a`等全部静态库中的目标文件全部打包后产生的文件。具体使用方法为`--whole-archive -lpaddle_capi_whole --no-whole-archive`。 + + +### examples + +在样例中，使用`C99`开发了模型预测的样例代码。具体请参考[example/README.md](../../../paddle/capi/examples/README.md)。 + +## 编译选项 + +C-API的编译选项默认关闭，打开这个编译选项，需要在cmake的时候，设置 + +```bash +cmake ${YOUR_SOURCE_ROOT} -DWITH_C_API=ON -DWITH_PYTHON=OFF -DWITH_SWIG_PY=OFF +``` + +编译C-API的时候推荐Paddle不嵌入Python解释器，也不生成`SWIG`接口，具体原因参考[Why Plain C](./00.why_plain_c.md)。 diff --git a/develop/doc/design/multi_language_interface/why_plain_c.html b/develop/doc/design/multi_language_interface/00.why_plain_c.html similarity index 94% rename from develop/doc/design/multi_language_interface/why_plain_c.html rename to develop/doc/design/multi_language_interface/00.why_plain_c.html index b353e227afe..0df6002fcb9 100644 --- a/develop/doc/design/multi_language_interface/why_plain_c.html +++ b/develop/doc/design/multi_language_interface/00.why_plain_c.html @@ -185,7 +185,7 @@
  • 原因列表
    • -
  • 简单实现
    • +
  • 实现
    • @@ -291,29 +291,29 @@ typedef int paddle_error; extern "C" -paddle_error paddle_matrix_shape(paddle_matrix matrix, - uint64_t* width, - uint64_t* height); +paddle_error paddle_matrix_get_shape(paddle_matrix matrix, + uint64_t* width, + uint64_t* height);

    而在CPP里面实现这个C的接口，文件 paddle_matrix.cpp

    -
    #include "paddle/math/matrix.hpp"
+
    #include "paddle/math/matrix.h"
 extern "C"
 paddle_error paddle_matrix_shape(paddle_matrix matrix,
                                  uint64_t *width,
                                  uint64_t *height) {
-  auto m = (paddle::math::matrix*)(matrix);
+  auto m = (paddle::capi::CMatrix*)(matrix);
   *width = m->width();
   *height = m->height();
 }
 
    
 
    
-
    其中paddle/math/matrix.hpp文件内容为:
    
+
    其中paddle/capi/CMatrix.hpp文件内容为:
    
 
    namespace paddle {
 namespace math {  
 
-class Matrix {
-  //...
+class CMatrix {
+  std::shared_ptr<paddle::Matrix> mat;
 };
 
 }  // namespace math
@@ -350,8 +350,8 @@
 | 手写多语言绑定 | 不使用SWIG | 使用SWIG需要多语言绑定的开发人员熟练掌握SWIG配置，社区参与困难。SWIG生成的代码不能保证多语言代码风格的一致性 |
    
 
    
 
    
-
    简单实现
    
-
    TBD
    
+
    实现
    
+
    参考Inference implementation
    
 
    
 
    
 
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--- /dev/null
+++ b/develop/doc/design/multi_language_interface/01.inference_implementation.html
@@ -0,0 +1,413 @@
+
+
+
+
+  
+
+  
+  
+  
+  
+  C-API 模型推断实现文档 — PaddlePaddle  documentation
+  
+
+  
+  
+
+  
+
+  
+  
+    
+
+  
+
+  
+  
+    
+  
+
+  
+  
+        
+        
+     
+
+  
+  
+  
+
+  
+
+  
+  
+
+
+
+
+
+  
+  
    
+    
+    
    
+      
    
+        Folk me on Github
+        
    
+          
+            English
+            
+            
+          
+          
+        
    
+        
+      
    
+      
    
+        
+        
+
+        
+
    
+  
    
+    
+    
+    
+  
    
+
            
+      
    
+    
    
+  
    
+  
+  
    
+
+    
+    
+    
+    
+    
+    
    
+
+      
+
+ 
+
+
+
+
+
+
+
+
    
+  
      
+      
+    
    • C-API 模型推断实现文档
      • 
+  
    
+
    
+      
+      
    
+        
    
+          
    
+           
    
+            
+  
    
+
    C-API 模型推断实现文档
    
+
    本文档描述Paddle C-API的实现细节。Paddle C-API是多语言API的基础部分。Paddle需要暴露的API很多。先实现模型推断的API，通过模型推断API的实现作为一个样例，来进行讨论。至于为什么需要C-API，请参考Why Plain C。
    
+
+
    
+
    暴露接口原则
    
+
      
+
    1. 所有的接口均为C接口。即使用extern "C"
      2. 
+
    2. 除构造某种类型的函数(paddle_matrix_create等)，其他函数均返回paddle_error。且调用时不能抛出异常或出现运行时错误。
      3. 
+
    3. 所有类型名为paddle_类型名，所有与类型相关的函数，函数名为paddle_类型名_函数名
      4. 
+
    4. 如果某一个Paddle Core概念(GradientMachine/Matrix)需要被暴露到其他语言，那么
        
+
      • 为了暴露的接口尽量简单。只暴露概念的接口，而不暴露概念的实现。即暴露GradientMachine或者Matrix但不暴露RecurrentGradientMachine和CpuSparseMatrix。
        • 
+
      • 暴露这个概念必要函数。必要是指，即完成某一个任务的最少函数。
        • 
+
      
+
      5. 
+
    5. 不在capi接口层做过多封装。
        
+
      • 如果某一个Paddle概念必须要暴露，但是又过于琐碎。不在capi这一层进行封装，而是直接修改Paddle Core。让Paddle核心中，这一概念不再琐碎。
        • 
+
      
+
      6. 
+
    
+
    
+
    
+
    目录结构
    
+
    Paddle
+  `-- paddle
+        `-- capi
+              `-- examples  # The example project for C-API.
+              `-- tests  # unittests for C-API
+              `-- capi.h  # C-API header file.
+              `-- capi_private.h  # The shared header file between implementation sources.
+              `-- matrix.{h, cpp}
+              `-- gradient_machine.{h, cpp}
+              `-- ...
+
    
+
    
+
    Paddle的C-API目录结构如上图表所示。这个目录中除了capi_private.h之外的所有头文件，均会被安装到include/paddle路径下。C-API生成的二进制文件会被安装到lib目录下。即，安装后的目录结构为
    
+
    `-- include
+      `-- paddle
+             `-- capi.h
+             `-- matrix.h
+             `-- gradient_machine.h
+             `-- ...
+`-- lib
+     `-- libpaddle_capi_shared.{so, dylib}  # In mac, dynamic libary's file name extention is `dylib`
+     `-- libpaddle_capi_whole.a  # static library for all symbols of Paddle.
+
    
+
    
+
    
+
    
+
    实现方式
    
+
    下面分别介绍某一类文件的实现方式。
    
+
    
+
    capi.h
    
+
    capi.h是用户使用C-API时所唯一需要引入的头文件。在capi.h中，引入了类型的头文件，matrix.h, gradient_machine.h。在引入其他类型的头文件时，使用相对路径的引用方式。即#include "matrix.h"
    
+
    
+
    
+
    具体某种类型的头文件
    
+
    具体某种类型的头文件，即例如matrix.h，gradient_machine.h等。在这些头文件中，包含了某种类型的类型定义和暴露的全部函数。
    
+
    这个头文件不假设其他文件的引用顺序，即使用户直接引用某种类型的头文件，也不应该报错(虽然不鼓励这样)。如果某一个类型需要引用另一个类型，例如gradient_machine需要引用matrix，则直接引入另一种类型的头文件，即#include "matrix.h"。
    
+
    
+
    
+
    capi_private.h
    
+
    capi_prviate.h是各个实现中共享的头文件，他主要包含了实际暴露的类型结构。在用户使用C-API时，Paddle的类型全部退化成void *，即typedef paddle_matrix void*。但，对于每种C-API暴露的类型，均是在capi_private.h中实现的结构体。
    
+
    struct CMatrix {
+   int type = MatrixType;
+   std::shared_ptr<paddle::Matrix> mat;
+};
+
    
+
    
+
    通常，这个结构体包含两个项目。
    
+
      
+
    • type是一个类型的标志。对于每种类型，type字段均不尽相同。这样，即使C-API接受的类型全是void *，我们也可以确定每一个参数的类型。
      
+
      void some_c_api_function(void* some_instance) {
+   int* type = (int *) some_instance;
+   switch (*type) {
+     case MatrixType:
+       CMatrix* mat = (CMatrix *) some_instance;
+       ...
+     ...
+   }
+}
+
      
+
      
+
      • 
+
    • 这个结构体中的另一个项目是，Paddle Core中这一类型接口的智能指针(shared_ptr)。
      
+
        
+
      • 使用智能指针的原因是: 用户可以安全的释放某个C-API的实例，而不必在意Paddle Core是否还在使用这个实例。
        • 
+
      • 例如，用户通过C-API获得了神经网络的参数实例。当用户使用完这个参数后，直接删除这个参数即可。即便Paddle Core中的模型还在使用这个参数，这个参数也不会一并删除。
        • 
+
      
+
      • 
+
    
+
    
+
    
+
    具体某种类型的实现文件
    
+
    具体某种类型的实现文件，即matrix.cpp, gradient_machine.cpp等文件。在这些文件中，使用C++ 11实现了C-API的接口，并且使用extern "C"导出这些接口。在实现过程中，对输入参数的安全性进行了必要的判断，并将C-API接口的参数转发给Paddle Core。
    
+
    
+
    
+
    libpaddle_capi_shared.{so, dylib}
    
+
    libpaddle_capi_shared是C-API导出的动态库。这个动态库的连接参数与Paddle的其他二进制(例如paddle_trainer)类似。用户可以直接使用这个动态库来引入Paddle C-API。具体使用方法为-lpaddle_capi_shared。
    
+
    
+
    
+
    libpaddle_capi_whole.a
    
+
    libpaddle_capi_whole是C-API导出的静态库。这个静态库包含了Paddle的全部符号。他是将libpaddle_gserver.a, libpaddle_math.a, libpaddle_capi.a等全部静态库中的目标文件全部打包后产生的文件。具体使用方法为--whole-archive -lpaddle_capi_whole --no-whole-archive。
    
+
    
+
    
+
    examples
    
+
    在样例中，使用C99开发了模型预测的样例代码。具体请参考example/README.md。
    
+
    
+
    
+
    
+
    编译选项
    
+
    C-API的编译选项默认关闭，打开这个编译选项，需要在cmake的时候，设置
    
+
    cmake ${YOUR_SOURCE_ROOT} -DWITH_C_API=ON -DWITH_PYTHON=OFF -DWITH_SWIG_PY=OFF
+
    
+
    
+
    编译C-API的时候推荐Paddle不嵌入Python解释器，也不生成SWIG接口，具体原因参考Why Plain C。
    
+
    
+
    
+
+
+           
    
+          
    
+          
    
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\ No newline at end of file
diff --git a/develop/doc_cn/_sources/design/multi_language_interface/why_plain_c.md.txt b/develop/doc_cn/_sources/design/multi_language_interface/00.why_plain_c.md.txt
similarity index 94%
rename from develop/doc_cn/_sources/design/multi_language_interface/why_plain_c.md.txt
rename to develop/doc_cn/_sources/design/multi_language_interface/00.why_plain_c.md.txt
index a3f41ca7b93..a1443093342 100644
--- a/develop/doc_cn/_sources/design/multi_language_interface/why_plain_c.md.txt
+++ b/develop/doc_cn/_sources/design/multi_language_interface/00.why_plain_c.md.txt
@@ -58,32 +58,32 @@ typedef void* paddle_matrix;
 typedef int paddle_error;
 
 extern "C"
-paddle_error paddle_matrix_shape(paddle_matrix matrix,
-                                 uint64_t* width,
-                                 uint64_t* height);
+paddle_error paddle_matrix_get_shape(paddle_matrix matrix,
+                                     uint64_t* width,
+                                     uint64_t* height);
 ```
 而在CPP里面实现这个C的接口，文件 `paddle_matrix.cpp`
 
 ```cpp
-#include "paddle/math/matrix.hpp"
+#include "paddle/math/matrix.h"
 extern "C"
 paddle_error paddle_matrix_shape(paddle_matrix matrix,
                                  uint64_t *width,
                                  uint64_t *height) {
-  auto m = (paddle::math::matrix*)(matrix);
+  auto m = (paddle::capi::CMatrix*)(matrix);
   *width = m->width();
   *height = m->height();
 }
 ```
 
-其中`paddle/math/matrix.hpp`文件内容为:
+其中`paddle/capi/CMatrix.hpp`文件内容为:
 
 ```cpp
 namespace paddle {
 namespace math {  
 
-class Matrix {
-  //...
+class CMatrix {
+  std::shared_ptr mat;
 };
 
 }  // namespace math
@@ -113,6 +113,6 @@ class Matrix {
 | 手写多语言绑定 | 不使用SWIG | 使用SWIG需要多语言绑定的开发人员熟练掌握SWIG配置，社区参与困难。SWIG生成的代码不能保证多语言代码风格的一致性 |
 
 
-## 简单实现
+## 实现
 
-TBD
+参考[Inference implementation](01.inference_implementation.md)
diff --git a/develop/doc_cn/_sources/design/multi_language_interface/01.inference_implementation.md.txt b/develop/doc_cn/_sources/design/multi_language_interface/01.inference_implementation.md.txt
new file mode 100644
index 00000000000..98202845232
--- /dev/null
+++ b/develop/doc_cn/_sources/design/multi_language_interface/01.inference_implementation.md.txt
@@ -0,0 +1,131 @@
+# C-API 模型推断实现文档
+
+本文档描述Paddle C-API的实现细节。Paddle C-API是多语言API的基础部分。Paddle需要暴露的API很多。先实现模型推断的API，通过模型推断API的实现作为一个样例，来进行讨论。至于为什么需要C-API，请参考[Why Plain C](./00.why_plain_c.md)。
+
+## Table of Contents
+   * [C-API 模型推断实现文档](#c-api-模型推断实现文档)
+      * [暴露接口原则](#暴露接口原则)
+      * [目录结构](#目录结构)
+      * [实现方式](#实现方式)
+         * [capi.h](#capih)
+         * [具体某种类型的头文件](#具体某种类型的头文件)
+         * [capi_private.h](#capi_privateh)
+         * [具体某种类型的实现文件](#具体某种类型的实现文件)
+         * [libpaddle_capi_shared.{so, dylib}](#libpaddle_capi_sharedso-dylib)
+         * [libpaddle_capi_whole.a](#libpaddle_capi_wholea)
+         * [examples](#examples)
+      * [编译选项](#编译选项)
+
+
+## 暴露接口原则
+
+1. 所有的接口均为C接口。即使用`extern "C"`
+2. 除构造某种类型的函数(`paddle_matrix_create`等)，其他函数均返回`paddle_error`。且调用时不能抛出异常或出现运行时错误。
+3. 所有类型名为`paddle_类型名`，所有与类型相关的函数，函数名为`paddle_类型名_函数名`
+4. 如果某一个Paddle Core概念(GradientMachine/Matrix)需要被暴露到其他语言，那么
+	* 为了暴露的接口尽量简单。只暴露概念的接口，而不暴露概念的实现。即暴露`GradientMachine`或者`Matrix`但不暴露`RecurrentGradientMachine`和`CpuSparseMatrix`。
+	* 暴露这个概念必要函数。`必要`是指，即完成某一个任务的最少函数。
+5. 不在`capi`接口层做过多封装。
+	* 如果某一个Paddle概念必须要暴露，但是又过于琐碎。不在`capi`这一层进行封装，而是直接修改Paddle Core。让Paddle核心中，这一概念不再琐碎。
+
+
+## 目录结构
+
+```text
+Paddle
+  `-- paddle
+        `-- capi
+              `-- examples  # The example project for C-API.
+              `-- tests  # unittests for C-API
+              `-- capi.h  # C-API header file.
+              `-- capi_private.h  # The shared header file between implementation sources.
+              `-- matrix.{h, cpp}
+              `-- gradient_machine.{h, cpp}
+              `-- ...
+```
+
+
+Paddle的C-API目录结构如上图表所示。这个目录中除了`capi_private.h`之外的所有头文件，均会被安装到include/paddle路径下。C-API生成的二进制文件会被安装到`lib`目录下。即，安装后的目录结构为
+
+```text
+`-- include
+      `-- paddle
+             `-- capi.h
+             `-- matrix.h
+             `-- gradient_machine.h
+             `-- ...
+`-- lib
+     `-- libpaddle_capi_shared.{so, dylib}  # In mac, dynamic libary's file name extention is `dylib`
+     `-- libpaddle_capi_whole.a  # static library for all symbols of Paddle.
+```
+
+## 实现方式
+
+下面分别介绍某一类文件的实现方式。
+
+### capi.h
+
+`capi.h`是用户使用C-API时所唯一需要引入的头文件。在`capi.h`中，引入了类型的头文件，`matrix.h`, `gradient_machine.h`。在引入其他类型的头文件时，使用相对路径的引用方式。即`#include "matrix.h"`
+
+### 具体某种类型的头文件
+
+具体某种类型的头文件，即例如`matrix.h`，`gradient_machine.h`等。在这些头文件中，包含了某种类型的类型定义和暴露的全部函数。
+
+这个头文件不假设其他文件的引用顺序，即使用户直接引用某种类型的头文件，也不应该报错(虽然不鼓励这样)。如果某一个类型需要引用另一个类型，例如`gradient_machine`需要引用`matrix`，则直接引入另一种类型的头文件，即`#include "matrix.h"`。
+
+### capi_private.h
+
+`capi_prviate.h`是各个实现中共享的头文件，他主要包含了实际暴露的类型结构。在用户使用C-API时，Paddle的类型全部退化成`void *`，即`typedef paddle_matrix void*`。但，对于每种C-API暴露的类型，均是在`capi_private.h`中实现的结构体。
+
+```cpp
+struct CMatrix {
+   int type = MatrixType;
+   std::shared_ptr mat;
+};
+```
+
+通常，这个结构体包含两个项目。
+
+* `type`是一个类型的标志。对于每种类型，type字段均不尽相同。这样，即使C-API接受的类型全是`void *`，我们也可以确定每一个参数的类型。
+
+  ```cpp
+  void some_c_api_function(void* some_instance) {
+     int* type = (int *) some_instance;
+     switch (*type) {
+       case MatrixType:
+         CMatrix* mat = (CMatrix *) some_instance;
+         ...
+       ...
+     }
+  }
+  ```
+* 这个结构体中的另一个项目是，Paddle Core中这一类型接口的智能指针(shared_ptr)。
+	* 使用智能指针的原因是: 用户可以安全的释放某个C-API的实例，而不必在意Paddle Core是否还在使用这个实例。
+	* 例如，用户通过C-API获得了神经网络的参数实例。当用户使用完这个参数后，直接删除这个参数即可。即便Paddle Core中的模型还在使用这个参数，这个参数也不会一并删除。
+
+### 具体某种类型的实现文件
+
+具体某种类型的实现文件，即`matrix.cpp`, `gradient_machine.cpp`等文件。在这些文件中，使用C++ 11实现了C-API的接口，并且使用`extern "C"`导出这些接口。在实现过程中，对输入参数的安全性进行了必要的判断，并将C-API接口的参数转发给`Paddle Core`。
+
+### libpaddle\_capi_shared.{so, dylib}
+
+`libpaddle_capi_shared`是C-API导出的动态库。这个动态库的连接参数与Paddle的其他二进制(例如`paddle_trainer`)类似。用户可以直接使用这个动态库来引入Paddle C-API。具体使用方法为`-lpaddle_capi_shared`。
+
+### libpaddle\_capi_whole.a
+
+`libpaddle_capi_whole`是C-API导出的静态库。这个静态库包含了Paddle的全部符号。他是将`libpaddle_gserver.a`, `libpaddle_math.a`, `libpaddle_capi.a`等全部静态库中的目标文件全部打包后产生的文件。具体使用方法为`--whole-archive -lpaddle_capi_whole --no-whole-archive`。
+
+
+### examples
+
+在样例中，使用`C99`开发了模型预测的样例代码。具体请参考[example/README.md](../../../paddle/capi/examples/README.md)。
+
+## 编译选项
+
+C-API的编译选项默认关闭，打开这个编译选项，需要在cmake的时候，设置
+
+```bash
+cmake ${YOUR_SOURCE_ROOT} -DWITH_C_API=ON -DWITH_PYTHON=OFF -DWITH_SWIG_PY=OFF
+```
+
+编译C-API的时候推荐Paddle不嵌入Python解释器，也不生成`SWIG`接口，具体原因参考[Why Plain C](./00.why_plain_c.md)。
diff --git a/develop/doc_cn/design/multi_language_interface/why_plain_c.html b/develop/doc_cn/design/multi_language_interface/00.why_plain_c.html
similarity index 94%
rename from develop/doc_cn/design/multi_language_interface/why_plain_c.html
rename to develop/doc_cn/design/multi_language_interface/00.why_plain_c.html
index d8731af8dc9..dfa8e31248d 100644
--- a/develop/doc_cn/design/multi_language_interface/why_plain_c.html
+++ b/develop/doc_cn/design/multi_language_interface/00.why_plain_c.html
@@ -192,7 +192,7 @@
 
 
 
  • 原因列表
    • 
-
  • 简单实现
    • 
+
  • 实现
    • 
 
 
 
@@ -298,29 +298,29 @@
 typedef int paddle_error;
 
 extern "C"
-paddle_error paddle_matrix_shape(paddle_matrix matrix,
-                                 uint64_t* width,
-                                 uint64_t* height);
+paddle_error paddle_matrix_get_shape(paddle_matrix matrix,
+                                     uint64_t* width,
+                                     uint64_t* height);

    而在CPP里面实现这个C的接口，文件 paddle_matrix.cpp

    -
    #include "paddle/math/matrix.hpp"
+
    #include "paddle/math/matrix.h"
 extern "C"
 paddle_error paddle_matrix_shape(paddle_matrix matrix,
                                  uint64_t *width,
                                  uint64_t *height) {
-  auto m = (paddle::math::matrix*)(matrix);
+  auto m = (paddle::capi::CMatrix*)(matrix);
   *width = m->width();
   *height = m->height();
 }
 
    
 
    
-
    其中paddle/math/matrix.hpp文件内容为:
    
+
    其中paddle/capi/CMatrix.hpp文件内容为:
    
 
    namespace paddle {
 namespace math {  
 
-class Matrix {
-  //...
+class CMatrix {
+  std::shared_ptr<paddle::Matrix> mat;
 };
 
 }  // namespace math
@@ -357,8 +357,8 @@
 | 手写多语言绑定 | 不使用SWIG | 使用SWIG需要多语言绑定的开发人员熟练掌握SWIG配置，社区参与困难。SWIG生成的代码不能保证多语言代码风格的一致性 |
    
 
    
 
    
-
    简单实现
    
-
    TBD
    
+
    实现
    
+
    参考Inference implementation
    
 
    
 
    
 
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
new file mode 100644
index 00000000000..290baa9a208
--- /dev/null
+++ b/develop/doc_cn/design/multi_language_interface/01.inference_implementation.html
@@ -0,0 +1,421 @@
+
+
+
+
+  
+
+  
+  
+  
+  
+  C-API 模型推断实现文档 — PaddlePaddle  文档
+  
+
+  
+  
+
+  
+
+  
+  
+    
+
+  
+
+  
+  
+    
+  
+
+  
+  
+        
+        
+     
+
+  
+  
+  
+
+  
+
+  
+  
+
+
+
+
+
+  
+  
    
+    
+    
    
+      
    
+        Folk me on Github
+        
    
+          
+            English
+            
+            
+          
+          
+        
    
+        
+      
    
+      
    
+        
+        
+
+        
+
    
+  
    
+    
+    
+    
+  
    
+
            
+      
    
+    
    
+  
    
+  
+  
    
+
+    
+    
+    
+    
+    
+    
    
+
+      
+
+ 
+
+
+
+
+
+
+
+
    
+  
      
+      
+    
    • C-API 模型推断实现文档
      • 
+  
    
+
    
+      
+      
    
+        
    
+          
    
+           
    
+            
+  
    
+
    C-API 模型推断实现文档
    
+
    本文档描述Paddle C-API的实现细节。Paddle C-API是多语言API的基础部分。Paddle需要暴露的API很多。先实现模型推断的API，通过模型推断API的实现作为一个样例，来进行讨论。至于为什么需要C-API，请参考Why Plain C。
    
+
+
    
+
    暴露接口原则
    
+
      
+
    1. 所有的接口均为C接口。即使用extern "C"
      2. 
+
    2. 除构造某种类型的函数(paddle_matrix_create等)，其他函数均返回paddle_error。且调用时不能抛出异常或出现运行时错误。
      3. 
+
    3. 所有类型名为paddle_类型名，所有与类型相关的函数，函数名为paddle_类型名_函数名
      4. 
+
    4. 如果某一个Paddle Core概念(GradientMachine/Matrix)需要被暴露到其他语言，那么
        
+
      • 为了暴露的接口尽量简单。只暴露概念的接口，而不暴露概念的实现。即暴露GradientMachine或者Matrix但不暴露RecurrentGradientMachine和CpuSparseMatrix。
        • 
+
      • 暴露这个概念必要函数。必要是指，即完成某一个任务的最少函数。
        • 
+
      
+
      5. 
+
    5. 不在capi接口层做过多封装。
        
+
      • 如果某一个Paddle概念必须要暴露，但是又过于琐碎。不在capi这一层进行封装，而是直接修改Paddle Core。让Paddle核心中，这一概念不再琐碎。
        • 
+
      
+
      6. 
+
    
+
    
+
    
+
    目录结构
    
+
    Paddle
+  `-- paddle
+        `-- capi
+              `-- examples  # The example project for C-API.
+              `-- tests  # unittests for C-API
+              `-- capi.h  # C-API header file.
+              `-- capi_private.h  # The shared header file between implementation sources.
+              `-- matrix.{h, cpp}
+              `-- gradient_machine.{h, cpp}
+              `-- ...
+
    
+
    
+
    Paddle的C-API目录结构如上图表所示。这个目录中除了capi_private.h之外的所有头文件，均会被安装到include/paddle路径下。C-API生成的二进制文件会被安装到lib目录下。即，安装后的目录结构为
    
+
    `-- include
+      `-- paddle
+             `-- capi.h
+             `-- matrix.h
+             `-- gradient_machine.h
+             `-- ...
+`-- lib
+     `-- libpaddle_capi_shared.{so, dylib}  # In mac, dynamic libary's file name extention is `dylib`
+     `-- libpaddle_capi_whole.a  # static library for all symbols of Paddle.
+
    
+
    
+
    
+
    
+
    实现方式
    
+
    下面分别介绍某一类文件的实现方式。
    
+
    
+
    capi.h
    
+
    capi.h是用户使用C-API时所唯一需要引入的头文件。在capi.h中，引入了类型的头文件，matrix.h, gradient_machine.h。在引入其他类型的头文件时，使用相对路径的引用方式。即#include "matrix.h"
    
+
    
+
    
+
    具体某种类型的头文件
    
+
    具体某种类型的头文件，即例如matrix.h，gradient_machine.h等。在这些头文件中，包含了某种类型的类型定义和暴露的全部函数。
    
+
    这个头文件不假设其他文件的引用顺序，即使用户直接引用某种类型的头文件，也不应该报错(虽然不鼓励这样)。如果某一个类型需要引用另一个类型，例如gradient_machine需要引用matrix，则直接引入另一种类型的头文件，即#include "matrix.h"。
    
+
    
+
    
+
    capi_private.h
    
+
    capi_prviate.h是各个实现中共享的头文件，他主要包含了实际暴露的类型结构。在用户使用C-API时，Paddle的类型全部退化成void *，即typedef paddle_matrix void*。但，对于每种C-API暴露的类型，均是在capi_private.h中实现的结构体。
    
+
    struct CMatrix {
+   int type = MatrixType;
+   std::shared_ptr<paddle::Matrix> mat;
+};
+
    
+
    
+
    通常，这个结构体包含两个项目。
    
+
      
+
    • type是一个类型的标志。对于每种类型，type字段均不尽相同。这样，即使C-API接受的类型全是void *，我们也可以确定每一个参数的类型。
      
+
      void some_c_api_function(void* some_instance) {
+   int* type = (int *) some_instance;
+   switch (*type) {
+     case MatrixType:
+       CMatrix* mat = (CMatrix *) some_instance;
+       ...
+     ...
+   }
+}
+
      
+
      
+
      • 
+
    • 这个结构体中的另一个项目是，Paddle Core中这一类型接口的智能指针(shared_ptr)。
      
+
        
+
      • 使用智能指针的原因是: 用户可以安全的释放某个C-API的实例，而不必在意Paddle Core是否还在使用这个实例。
        • 
+
      • 例如，用户通过C-API获得了神经网络的参数实例。当用户使用完这个参数后，直接删除这个参数即可。即便Paddle Core中的模型还在使用这个参数，这个参数也不会一并删除。
        • 
+
      
+
      • 
+
    
+
    
+
    
+
    具体某种类型的实现文件
    
+
    具体某种类型的实现文件，即matrix.cpp, gradient_machine.cpp等文件。在这些文件中，使用C++ 11实现了C-API的接口，并且使用extern "C"导出这些接口。在实现过程中，对输入参数的安全性进行了必要的判断，并将C-API接口的参数转发给Paddle Core。
    
+
    
+
    
+
    libpaddle_capi_shared.{so, dylib}
    
+
    libpaddle_capi_shared是C-API导出的动态库。这个动态库的连接参数与Paddle的其他二进制(例如paddle_trainer)类似。用户可以直接使用这个动态库来引入Paddle C-API。具体使用方法为-lpaddle_capi_shared。
    
+
    
+
    
+
    libpaddle_capi_whole.a
    
+
    libpaddle_capi_whole是C-API导出的静态库。这个静态库包含了Paddle的全部符号。他是将libpaddle_gserver.a, libpaddle_math.a, libpaddle_capi.a等全部静态库中的目标文件全部打包后产生的文件。具体使用方法为--whole-archive -lpaddle_capi_whole --no-whole-archive。
    
+
    
+
    
+
    examples
    
+
    在样例中，使用C99开发了模型预测的样例代码。具体请参考example/README.md。
    
+
    
+
    
+
    
+
    编译选项
    
+
    C-API的编译选项默认关闭，打开这个编译选项，需要在cmake的时候，设置
    
+
    cmake ${YOUR_SOURCE_ROOT} -DWITH_C_API=ON -DWITH_PYTHON=OFF -DWITH_SWIG_PY=OFF
+
    
+
    
+
    编译C-API的时候推荐Paddle不嵌入Python解释器，也不生成SWIG接口，具体原因参考Why Plain C。
    
+
    
+
    
+
+
+           
    
+          
    
+          
    
+  
+
+  
    
+
+  
    
+    
    
+        © Copyright 2016, PaddlePaddle developers.
+
+    
    
+  
    
+  Built with Sphinx using a theme provided by Read the Docs. 
+
+
    
+
+        
    
+      
    
+
+    
    
+
+  
    
+  
+
+
+  
+
+    
+      
+      
+      
+      
+      
+       
+  
+
+  
+  
+    
+  
+  
+  
+  
+   
+
+
+
\ No newline at end of file
diff --git a/develop/doc_cn/objects.inv b/develop/doc_cn/objects.inv
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