From aa789fc33000dbb339a27554c3af67defd26455c Mon Sep 17 00:00:00 2001 From: Travis CI Date: Fri, 17 Mar 2017 13:26:52 +0000 Subject: [PATCH] Deploy to GitHub Pages: e2afab4708acd625d8535557d0752fd81acc5347 --- .../why_plain_c.md.txt | 118 +++++ .../multi_language_interface/why_plain_c.html | 413 +++++++++++++++++ develop/doc/objects.inv | Bin 2209 -> 2293 bytes develop/doc/searchindex.js | 2 +- .../why_plain_c.md.txt | 118 +++++ .../multi_language_interface/why_plain_c.html | 421 ++++++++++++++++++ develop/doc_cn/objects.inv | Bin 2710 -> 2763 bytes develop/doc_cn/searchindex.js | 2 +- 8 files changed, 1072 insertions(+), 2 deletions(-) create mode 100644 develop/doc/_sources/design/multi_language_interface/why_plain_c.md.txt create mode 100644 develop/doc/design/multi_language_interface/why_plain_c.html create mode 100644 develop/doc_cn/_sources/design/multi_language_interface/why_plain_c.md.txt create mode 100644 develop/doc_cn/design/multi_language_interface/why_plain_c.html diff --git a/develop/doc/_sources/design/multi_language_interface/why_plain_c.md.txt b/develop/doc/_sources/design/multi_language_interface/why_plain_c.md.txt new file mode 100644 index 0000000000..a3f41ca7b9 --- /dev/null +++ b/develop/doc/_sources/design/multi_language_interface/why_plain_c.md.txt @@ -0,0 +1,118 @@ +# Paddle多语言接口实现 +## 背景 + +Paddle需要一个多语言接口，这个接口需要做到: + +* 有标准的，良好的文档 + * 例如Python可以使用[Sphinx](http://www.sphinx-doc.org/en/stable/)生成API文档，golang可以使用[GoDoc](https://godoc.org/golang.org/x/tools/cmd/godoc)生成文档。这都需要这个接口按照约定俗成的规则来注释完备。 +* 不同语言的接口适应不同语言的特性 + * 例如Java与Python的错误处理是直接扔出来Exception，而对于golang错误处理应该使用返回值。 + +## 基本要求 + +Paddle的多语言接口实现包括一下几个方面: + +* 我们使用动态库来分发Paddle。在这个动态库中不嵌入任何其他语言的解释器，也不使用其他动态库。 +* 这个动态库使用C99标准的头文件导出一些函数，不使用/导出C++符号。 +* 不导出Paddle内部的结构体、类，仅仅使用`void*`指针作为类型的句柄(handler)。 +* 不使用SWIG这种代码生成器，而是手写多语言绑定。 + + +## 原因 + +### 使用动态库来分发Paddle + +* Paddle的链接方式比较复杂 + * 如果用户要把Paddle的静态库（libpaddle.a）链接到自己的程序里，得使用 `--whole-archive` (for GCC) 或者 `--force_load` (for Clang) 参数，来确保把 libpaddle.a 里所有的符号都写入自己的程序的二进制文件里。这是因为 Paddle 的源码里使用了[object factory design pattern](http://stackoverflow.com/a/1310326/724872)。 +* 编译型语言，例如C/C++使用静态库和动态库难度差不多。但是解释性语言，例如[Python](http://stackoverflow.com/questions/19560594/how-to-import-static-library-in-python)或者[Java](http://stackoverflow.com/questions/24493337/linking-static-library-with-jni)，只能调用Paddle的动态库，否则得把Paddle静态库链接到解释器里。 + * 解释性语言实际运行的二进制是解释器本身，如果调用静态库只能将静态库与解释器链接。例如对于Java来说，便是将静态库加入JVM中。这对于通常的Java的开发者来说，是不常见的做法。 + +### 动态库中不嵌入任何其他语言的解释器 + +* 目前Paddle的进程模型是C++内部驱动Python解释器进行模型配置解析和数据读取 +* 我们最终的动态库中不嵌入Python或者其他任何语言的解释器。模型配置解析，数据读取均交由其他语言完成 + +现阶段Paddle有一个问题是，Paddle内嵌的Python解释器和外部使用的Python如果版本不同，会直接报错退出。 + +### Paddle动态库中，不引用其他动态库 + +* 即这个动态库是不依赖于其他任何文件的，可以在任何机器上执行的。 + +### 这个动态库使用C99标准的头文件导出一些函数，不使用/导出C++符号 + +* 由于C++编译器没有[名字修饰](https://en.wikipedia.org/wiki/Name_mangling#C.2B.2B)的规范，不同版本的编译器之间，对于同一段C++代码生成的符号可能不一致。而多语言接口需要直接读取生成的二进制(动态库)，需要有稳定的导出符号。 +* C语言是有导出符号的标准的，并且在常见的平台上，都是ABI调用标准的。 +* 大多数语言都支持使用C语言API +* 使用C99而不使用C89，是因为C99支持[Fixed-width integer types](https://en.wikipedia.org/wiki/C_data_types#Fixed-width_integer_types)和[Boolean type](https://en.wikipedia.org/wiki/C_data_types#Boolean_type)。 +* 使用C99而不使用C11的原因是，[C11](https://en.wikipedia.org/wiki/C11_(C_standard_revision))并没有Paddle特别需要的特性，且C99相对于C11使用更加广泛。 + +### 不导出Paddle内部的结构体、类，仅仅使用`void*`指针作为类型的句柄(handler) + +* Paddle内部的类为C++书写，直接导出到C的接口比较困难。 +* 在C-API中使用`void*`来表示Paddle内部类。再在每一个API中自己检查类型。 + +在C的头文件 `paddle_matrix.h` 中: + +```C +typedef void* paddle_matrix; +typedef int paddle_error; + +extern "C" +paddle_error paddle_matrix_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" +extern "C" +paddle_error paddle_matrix_shape(paddle_matrix matrix, + uint64_t *width, + uint64_t *height) { + auto m = (paddle::math::matrix*)(matrix); + *width = m->width(); + *height = m->height(); +} +``` + +其中`paddle/math/matrix.hpp`文件内容为: + +```cpp +namespace paddle { +namespace math { + +class Matrix { + //... +}; + +} // namespace math +} // namespace paddle +``` + +### 不使用SWIG这种代码生成器，而是手写多语言绑定 + +* [SWIG](http://www.swig.org/)是一个多语言接口的代码生成器。他的目标是使用C/C++写代码，SWIG直接读取C/C++的头文件，生成各种语言的绑定代码。 + * 对于多语言接口，SWIG需要写一个interface文件。这个文件具有独特的语法，学习成本高。且增加一个第三方语言，就需要对这个第三方语言增加一些定义。有的时候，interface文件的写法非常[tricky](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/api/Paddle.swig#L36)。社区贡献代码学习成本高。 + * SWIG暴露的接口保留了C++的接口样式，很难保证多语言代码风格的一致性。(函数命名，错误处理) + * 因为SWIG在第三方语言中暴露的函数名，类名和C++中完全一致。C++的命名风格并不能适应其他第三方语言。如果使用SWIG我们需要将在interface文件里，将大量的`SomeCppClass`重命名成`some_python_class`，或者`SomeGoTypes`。 + * 对于不同语言，错误处理的方式也不尽相同。例如对于Java或者Python，最常见的错误处理方式是Exception，而对于Golang，错误处理方式是返回值。而SWIG只能简单的暴露C++接口，无法做到对于各种语言错误处理方式的适配。 + * 对于大多数语言，直接使用C语言的.h并不困难。例如Python的[cffi](https://cffi.readthedocs.io/en/latest/overview.html#simple-example-abi-level-in-line)或者[Cython](http://cython.org/), golang的[cgo](https://golang.org/cmd/cgo/)。 + * SWIG支持的语言或者解释器有局限。例如对于Python，使用SWIG只支持CPython解释器，而不支持PyPy解释器。 + + +## 原因列表 + +| 结论 | 对比 | 原因 | +|---| --- | --- | +| 使用动态库 | 不使用静态库 | 解释型语言只能调用动态库，Paddle静态库链接复杂 | +| 不嵌入其他语言解释器 | 不嵌入Python解释器 | Paddle C++目前嵌入Python解释器，会导致不同版本Python在一个进程里的bug | +| 不引用其他动态库 | | Paddle一个动态库可以在任何Linux系统上运行 | +| 使用C99做接口 | 不使用C++做接口 | C有标准的ABI，C99是目前C最广泛的使用标准，且C99支持bool类型和定长整数(uint64_t等)类型 | +| 使用void*作为类句柄 | 不显示的写每个类具体包含什么| 实现简单，并且让接口脱离实现细节 | +| 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 diff --git a/develop/doc/design/multi_language_interface/why_plain_c.html b/develop/doc/design/multi_language_interface/why_plain_c.html new file mode 100644 index 0000000000..64565457f6 --- /dev/null +++ b/develop/doc/design/multi_language_interface/why_plain_c.html @@ -0,0 +1,413 @@ + + + + + + + + + + + Paddle多语言接口实现 — PaddlePaddle documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+
+ Folk me on Github +
+ + English + + + + +
+ +
+
+ + + + +
+
+ + + +
+
+
+
+
+ +
+ + + + + + +
+ + + + + + + + + + + +
+
    + +
  • Paddle多语言接口实现
    • +
+
+ +
+
+
+
+ +
+

Paddle多语言接口实现

+
+

背景

+

Paddle需要一个多语言接口，这个接口需要做到:

+
    +
  • 有标准的，良好的文档
      +
    • 例如Python可以使用Sphinx生成API文档，golang可以使用GoDoc生成文档。这都需要这个接口按照约定俗成的规则来注释完备。
      • +
    +
    • +
  • 不同语言的接口适应不同语言的特性
      +
    • 例如Java与Python的错误处理是直接扔出来Exception，而对于golang错误处理应该使用返回值。
      • +
    +
    • +
+
+
+

基本要求

+

Paddle的多语言接口实现包括一下几个方面:

+
    +
  • 我们使用动态库来分发Paddle。在这个动态库中不嵌入任何其他语言的解释器，也不使用其他动态库。
    • +
  • 这个动态库使用C99标准的头文件导出一些函数，不使用/导出C++符号。
    • +
  • 不导出Paddle内部的结构体、类，仅仅使用void*指针作为类型的句柄(handler)。
    • +
  • 不使用SWIG这种代码生成器，而是手写多语言绑定。
    • +
+
+
+

原因

+
+

使用动态库来分发Paddle

+
    +
  • Paddle的链接方式比较复杂
      +
    • 如果用户要把Paddle的静态库（libpaddle.a）链接到自己的程序里，得使用 --whole-archive (for GCC) 或者 --force_load (for Clang) 参数，来确保把 libpaddle.a 里所有的符号都写入自己的程序的二进制文件里。这是因为 Paddle 的源码里使用了object factory design pattern。
      • +
    +
    • +
  • 编译型语言，例如C/C++使用静态库和动态库难度差不多。但是解释性语言，例如Python或者Java，只能调用Paddle的动态库，否则得把Paddle静态库链接到解释器里。
      +
    • 解释性语言实际运行的二进制是解释器本身，如果调用静态库只能将静态库与解释器链接。例如对于Java来说，便是将静态库加入JVM中。这对于通常的Java的开发者来说，是不常见的做法。
      • +
    +
    • +
+
+
+

动态库中不嵌入任何其他语言的解释器

+
    +
  • 目前Paddle的进程模型是C++内部驱动Python解释器进行模型配置解析和数据读取
    • +
  • 我们最终的动态库中不嵌入Python或者其他任何语言的解释器。模型配置解析，数据读取均交由其他语言完成
    • +
+

现阶段Paddle有一个问题是，Paddle内嵌的Python解释器和外部使用的Python如果版本不同，会直接报错退出。

+
+
+

Paddle动态库中，不引用其他动态库

+
    +
  • 即这个动态库是不依赖于其他任何文件的，可以在任何机器上执行的。
    • +
+
+
+

这个动态库使用C99标准的头文件导出一些函数，不使用/导出C++符号

+
    +
  • 由于C++编译器没有名字修饰的规范，不同版本的编译器之间，对于同一段C++代码生成的符号可能不一致。而多语言接口需要直接读取生成的二进制(动态库)，需要有稳定的导出符号。
    • +
  • C语言是有导出符号的标准的，并且在常见的平台上，都是ABI调用标准的。
    • +
  • 大多数语言都支持使用C语言API
    • +
  • 使用C99而不使用C89，是因为C99支持Fixed-width integer types和Boolean type。
    • +
  • 使用C99而不使用C11的原因是，C11并没有Paddle特别需要的特性，且C99相对于C11使用更加广泛。
    • +
+
+
+

不导出Paddle内部的结构体、类，仅仅使用void*指针作为类型的句柄(handler)

+
    +
  • Paddle内部的类为C++书写，直接导出到C的接口比较困难。
    • +
  • 在C-API中使用void*来表示Paddle内部类。再在每一个API中自己检查类型。
    • +
+

在C的头文件 paddle_matrix.h 中:

+
typedef void* paddle_matrix;
+typedef int paddle_error;
+
+extern "C"
+paddle_error paddle_matrix_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"
+extern "C"
+paddle_error paddle_matrix_shape(paddle_matrix matrix,
+                                 uint64_t *width,
+                                 uint64_t *height) {
+  auto m = (paddle::math::matrix*)(matrix);
+  *width = m->width();
+  *height = m->height();
+}
+
+
+

其中paddle/math/matrix.hpp文件内容为:

+
namespace paddle {
+namespace math {  
+
+class Matrix {
+  //...
+};
+
+}  // namespace math
+}  // namespace paddle
+
+
+
+
+

不使用SWIG这种代码生成器，而是手写多语言绑定

+
    +
  • SWIG是一个多语言接口的代码生成器。他的目标是使用C/C++写代码，SWIG直接读取C/C++的头文件，生成各种语言的绑定代码。
      +
    • 对于多语言接口，SWIG需要写一个interface文件。这个文件具有独特的语法，学习成本高。且增加一个第三方语言，就需要对这个第三方语言增加一些定义。有的时候，interface文件的写法非常tricky。社区贡献代码学习成本高。
      • +
    • SWIG暴露的接口保留了C++的接口样式，很难保证多语言代码风格的一致性。(函数命名，错误处理)
        +
      • 因为SWIG在第三方语言中暴露的函数名，类名和C++中完全一致。C++的命名风格并不能适应其他第三方语言。如果使用SWIG我们需要将在interface文件里，将大量的SomeCppClass重命名成some_python_class，或者SomeGoTypes。
        • +
      • 对于不同语言，错误处理的方式也不尽相同。例如对于Java或者Python，最常见的错误处理方式是Exception，而对于Golang，错误处理方式是返回值。而SWIG只能简单的暴露C++接口，无法做到对于各种语言错误处理方式的适配。
        • +
      +
      • +
    • 对于大多数语言，直接使用C语言的.h并不困难。例如Python的cffi或者Cython, golang的cgo。
      • +
    • SWIG支持的语言或者解释器有局限。例如对于Python，使用SWIG只支持CPython解释器，而不支持PyPy解释器。
      • +
    +
    • +
+
+
+
+

原因列表

+

| 结论 | 对比 | 原因 | +|—| — | — | +| 使用动态库 | 不使用静态库 | 解释型语言只能调用动态库，Paddle静态库链接复杂 | +| 不嵌入其他语言解释器 | 不嵌入Python解释器 | Paddle C++目前嵌入Python解释器，会导致不同版本Python在一个进程里的bug | +| 不引用其他动态库 | | Paddle一个动态库可以在任何Linux系统上运行 | +| 使用C99做接口 | 不使用C++做接口 | C有标准的ABI，C99是目前C最广泛的使用标准，且C99支持bool类型和定长整数(uint64_t等)类型 | +| 使用void*作为类句柄 | 不显示的写每个类具体包含什么| 实现简单，并且让接口脱离实现细节 | +| 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

+
+
+ + +
+
+
+ + +
+ +
+

+ © 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/multi_language_interface/why_plain_c.md.txt b/develop/doc_cn/_sources/design/multi_language_interface/why_plain_c.md.txt new file mode 100644 index 0000000000..a3f41ca7b9 --- /dev/null +++ b/develop/doc_cn/_sources/design/multi_language_interface/why_plain_c.md.txt @@ -0,0 +1,118 @@ +# Paddle多语言接口实现 +## 背景 + +Paddle需要一个多语言接口，这个接口需要做到: + +* 有标准的，良好的文档 + * 例如Python可以使用[Sphinx](http://www.sphinx-doc.org/en/stable/)生成API文档，golang可以使用[GoDoc](https://godoc.org/golang.org/x/tools/cmd/godoc)生成文档。这都需要这个接口按照约定俗成的规则来注释完备。 +* 不同语言的接口适应不同语言的特性 + * 例如Java与Python的错误处理是直接扔出来Exception，而对于golang错误处理应该使用返回值。 + +## 基本要求 + +Paddle的多语言接口实现包括一下几个方面: + +* 我们使用动态库来分发Paddle。在这个动态库中不嵌入任何其他语言的解释器，也不使用其他动态库。 +* 这个动态库使用C99标准的头文件导出一些函数，不使用/导出C++符号。 +* 不导出Paddle内部的结构体、类，仅仅使用`void*`指针作为类型的句柄(handler)。 +* 不使用SWIG这种代码生成器，而是手写多语言绑定。 + + +## 原因 + +### 使用动态库来分发Paddle + +* Paddle的链接方式比较复杂 + * 如果用户要把Paddle的静态库（libpaddle.a）链接到自己的程序里，得使用 `--whole-archive` (for GCC) 或者 `--force_load` (for Clang) 参数，来确保把 libpaddle.a 里所有的符号都写入自己的程序的二进制文件里。这是因为 Paddle 的源码里使用了[object factory design pattern](http://stackoverflow.com/a/1310326/724872)。 +* 编译型语言，例如C/C++使用静态库和动态库难度差不多。但是解释性语言，例如[Python](http://stackoverflow.com/questions/19560594/how-to-import-static-library-in-python)或者[Java](http://stackoverflow.com/questions/24493337/linking-static-library-with-jni)，只能调用Paddle的动态库，否则得把Paddle静态库链接到解释器里。 + * 解释性语言实际运行的二进制是解释器本身，如果调用静态库只能将静态库与解释器链接。例如对于Java来说，便是将静态库加入JVM中。这对于通常的Java的开发者来说，是不常见的做法。 + +### 动态库中不嵌入任何其他语言的解释器 + +* 目前Paddle的进程模型是C++内部驱动Python解释器进行模型配置解析和数据读取 +* 我们最终的动态库中不嵌入Python或者其他任何语言的解释器。模型配置解析，数据读取均交由其他语言完成 + +现阶段Paddle有一个问题是，Paddle内嵌的Python解释器和外部使用的Python如果版本不同，会直接报错退出。 + +### Paddle动态库中，不引用其他动态库 + +* 即这个动态库是不依赖于其他任何文件的，可以在任何机器上执行的。 + +### 这个动态库使用C99标准的头文件导出一些函数，不使用/导出C++符号 + +* 由于C++编译器没有[名字修饰](https://en.wikipedia.org/wiki/Name_mangling#C.2B.2B)的规范，不同版本的编译器之间，对于同一段C++代码生成的符号可能不一致。而多语言接口需要直接读取生成的二进制(动态库)，需要有稳定的导出符号。 +* C语言是有导出符号的标准的，并且在常见的平台上，都是ABI调用标准的。 +* 大多数语言都支持使用C语言API +* 使用C99而不使用C89，是因为C99支持[Fixed-width integer types](https://en.wikipedia.org/wiki/C_data_types#Fixed-width_integer_types)和[Boolean type](https://en.wikipedia.org/wiki/C_data_types#Boolean_type)。 +* 使用C99而不使用C11的原因是，[C11](https://en.wikipedia.org/wiki/C11_(C_standard_revision))并没有Paddle特别需要的特性，且C99相对于C11使用更加广泛。 + +### 不导出Paddle内部的结构体、类，仅仅使用`void*`指针作为类型的句柄(handler) + +* Paddle内部的类为C++书写，直接导出到C的接口比较困难。 +* 在C-API中使用`void*`来表示Paddle内部类。再在每一个API中自己检查类型。 + +在C的头文件 `paddle_matrix.h` 中: + +```C +typedef void* paddle_matrix; +typedef int paddle_error; + +extern "C" +paddle_error paddle_matrix_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" +extern "C" +paddle_error paddle_matrix_shape(paddle_matrix matrix, + uint64_t *width, + uint64_t *height) { + auto m = (paddle::math::matrix*)(matrix); + *width = m->width(); + *height = m->height(); +} +``` + +其中`paddle/math/matrix.hpp`文件内容为: + +```cpp +namespace paddle { +namespace math { + +class Matrix { + //... +}; + +} // namespace math +} // namespace paddle +``` + +### 不使用SWIG这种代码生成器，而是手写多语言绑定 + +* [SWIG](http://www.swig.org/)是一个多语言接口的代码生成器。他的目标是使用C/C++写代码，SWIG直接读取C/C++的头文件，生成各种语言的绑定代码。 + * 对于多语言接口，SWIG需要写一个interface文件。这个文件具有独特的语法，学习成本高。且增加一个第三方语言，就需要对这个第三方语言增加一些定义。有的时候，interface文件的写法非常[tricky](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/api/Paddle.swig#L36)。社区贡献代码学习成本高。 + * SWIG暴露的接口保留了C++的接口样式，很难保证多语言代码风格的一致性。(函数命名，错误处理) + * 因为SWIG在第三方语言中暴露的函数名，类名和C++中完全一致。C++的命名风格并不能适应其他第三方语言。如果使用SWIG我们需要将在interface文件里，将大量的`SomeCppClass`重命名成`some_python_class`，或者`SomeGoTypes`。 + * 对于不同语言，错误处理的方式也不尽相同。例如对于Java或者Python，最常见的错误处理方式是Exception，而对于Golang，错误处理方式是返回值。而SWIG只能简单的暴露C++接口，无法做到对于各种语言错误处理方式的适配。 + * 对于大多数语言，直接使用C语言的.h并不困难。例如Python的[cffi](https://cffi.readthedocs.io/en/latest/overview.html#simple-example-abi-level-in-line)或者[Cython](http://cython.org/), golang的[cgo](https://golang.org/cmd/cgo/)。 + * SWIG支持的语言或者解释器有局限。例如对于Python，使用SWIG只支持CPython解释器，而不支持PyPy解释器。 + + +## 原因列表 + +| 结论 | 对比 | 原因 | +|---| --- | --- | +| 使用动态库 | 不使用静态库 | 解释型语言只能调用动态库，Paddle静态库链接复杂 | +| 不嵌入其他语言解释器 | 不嵌入Python解释器 | Paddle C++目前嵌入Python解释器，会导致不同版本Python在一个进程里的bug | +| 不引用其他动态库 | | Paddle一个动态库可以在任何Linux系统上运行 | +| 使用C99做接口 | 不使用C++做接口 | C有标准的ABI，C99是目前C最广泛的使用标准，且C99支持bool类型和定长整数(uint64_t等)类型 | +| 使用void*作为类句柄 | 不显示的写每个类具体包含什么| 实现简单，并且让接口脱离实现细节 | +| 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 diff --git a/develop/doc_cn/design/multi_language_interface/why_plain_c.html b/develop/doc_cn/design/multi_language_interface/why_plain_c.html new file mode 100644 index 0000000000..9f9c3398ac --- /dev/null +++ b/develop/doc_cn/design/multi_language_interface/why_plain_c.html @@ -0,0 +1,421 @@ + + + + + + + + + + + Paddle多语言接口实现 — PaddlePaddle 文档 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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Paddle多语言接口实现

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背景

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Paddle需要一个多语言接口，这个接口需要做到:

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  • 有标准的，良好的文档
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    • 例如Python可以使用Sphinx生成API文档，golang可以使用GoDoc生成文档。这都需要这个接口按照约定俗成的规则来注释完备。
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  • 不同语言的接口适应不同语言的特性
      +
    • 例如Java与Python的错误处理是直接扔出来Exception，而对于golang错误处理应该使用返回值。
      • +
    +
    • +
+
+
+

基本要求

+

Paddle的多语言接口实现包括一下几个方面:

+
    +
  • 我们使用动态库来分发Paddle。在这个动态库中不嵌入任何其他语言的解释器，也不使用其他动态库。
    • +
  • 这个动态库使用C99标准的头文件导出一些函数，不使用/导出C++符号。
    • +
  • 不导出Paddle内部的结构体、类，仅仅使用void*指针作为类型的句柄(handler)。
    • +
  • 不使用SWIG这种代码生成器，而是手写多语言绑定。
    • +
+
+
+

原因

+
+

使用动态库来分发Paddle

+
    +
  • Paddle的链接方式比较复杂
      +
    • 如果用户要把Paddle的静态库（libpaddle.a）链接到自己的程序里，得使用 --whole-archive (for GCC) 或者 --force_load (for Clang) 参数，来确保把 libpaddle.a 里所有的符号都写入自己的程序的二进制文件里。这是因为 Paddle 的源码里使用了object factory design pattern。
      • +
    +
    • +
  • 编译型语言，例如C/C++使用静态库和动态库难度差不多。但是解释性语言，例如Python或者Java，只能调用Paddle的动态库，否则得把Paddle静态库链接到解释器里。
      +
    • 解释性语言实际运行的二进制是解释器本身，如果调用静态库只能将静态库与解释器链接。例如对于Java来说，便是将静态库加入JVM中。这对于通常的Java的开发者来说，是不常见的做法。
      • +
    +
    • +
+
+
+

动态库中不嵌入任何其他语言的解释器

+
    +
  • 目前Paddle的进程模型是C++内部驱动Python解释器进行模型配置解析和数据读取
    • +
  • 我们最终的动态库中不嵌入Python或者其他任何语言的解释器。模型配置解析，数据读取均交由其他语言完成
    • +
+

现阶段Paddle有一个问题是，Paddle内嵌的Python解释器和外部使用的Python如果版本不同，会直接报错退出。

+
+
+

Paddle动态库中，不引用其他动态库

+
    +
  • 即这个动态库是不依赖于其他任何文件的，可以在任何机器上执行的。
    • +
+
+
+

这个动态库使用C99标准的头文件导出一些函数，不使用/导出C++符号

+
    +
  • 由于C++编译器没有名字修饰的规范，不同版本的编译器之间，对于同一段C++代码生成的符号可能不一致。而多语言接口需要直接读取生成的二进制(动态库)，需要有稳定的导出符号。
    • +
  • C语言是有导出符号的标准的，并且在常见的平台上，都是ABI调用标准的。
    • +
  • 大多数语言都支持使用C语言API
    • +
  • 使用C99而不使用C89，是因为C99支持Fixed-width integer types和Boolean type。
    • +
  • 使用C99而不使用C11的原因是，C11并没有Paddle特别需要的特性，且C99相对于C11使用更加广泛。
    • +
+
+
+

不导出Paddle内部的结构体、类，仅仅使用void*指针作为类型的句柄(handler)

+
    +
  • Paddle内部的类为C++书写，直接导出到C的接口比较困难。
    • +
  • 在C-API中使用void*来表示Paddle内部类。再在每一个API中自己检查类型。
    • +
+

在C的头文件 paddle_matrix.h 中:

+
typedef void* paddle_matrix;
+typedef int paddle_error;
+
+extern "C"
+paddle_error paddle_matrix_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"
+extern "C"
+paddle_error paddle_matrix_shape(paddle_matrix matrix,
+                                 uint64_t *width,
+                                 uint64_t *height) {
+  auto m = (paddle::math::matrix*)(matrix);
+  *width = m->width();
+  *height = m->height();
+}
+
+
+

其中paddle/math/matrix.hpp文件内容为:

+
namespace paddle {
+namespace math {  
+
+class Matrix {
+  //...
+};
+
+}  // namespace math
+}  // namespace paddle
+
+
+
+
+

不使用SWIG这种代码生成器，而是手写多语言绑定

+
    +
  • SWIG是一个多语言接口的代码生成器。他的目标是使用C/C++写代码，SWIG直接读取C/C++的头文件，生成各种语言的绑定代码。
      +
    • 对于多语言接口，SWIG需要写一个interface文件。这个文件具有独特的语法，学习成本高。且增加一个第三方语言，就需要对这个第三方语言增加一些定义。有的时候，interface文件的写法非常tricky。社区贡献代码学习成本高。
      • +
    • SWIG暴露的接口保留了C++的接口样式，很难保证多语言代码风格的一致性。(函数命名，错误处理)
        +
      • 因为SWIG在第三方语言中暴露的函数名，类名和C++中完全一致。C++的命名风格并不能适应其他第三方语言。如果使用SWIG我们需要将在interface文件里，将大量的SomeCppClass重命名成some_python_class，或者SomeGoTypes。
        • +
      • 对于不同语言，错误处理的方式也不尽相同。例如对于Java或者Python，最常见的错误处理方式是Exception，而对于Golang，错误处理方式是返回值。而SWIG只能简单的暴露C++接口，无法做到对于各种语言错误处理方式的适配。
        • +
      +
      • +
    • 对于大多数语言，直接使用C语言的.h并不困难。例如Python的cffi或者Cython, golang的cgo。
      • +
    • SWIG支持的语言或者解释器有局限。例如对于Python，使用SWIG只支持CPython解释器，而不支持PyPy解释器。
      • +
    +
    • +
+
+
+
+

原因列表

+

| 结论 | 对比 | 原因 | +|—| — | — | +| 使用动态库 | 不使用静态库 | 解释型语言只能调用动态库，Paddle静态库链接复杂 | +| 不嵌入其他语言解释器 | 不嵌入Python解释器 | Paddle C++目前嵌入Python解释器，会导致不同版本Python在一个进程里的bug | +| 不引用其他动态库 | | Paddle一个动态库可以在任何Linux系统上运行 | +| 使用C99做接口 | 不使用C++做接口 | C有标准的ABI，C99是目前C最广泛的使用标准，且C99支持bool类型和定长整数(uint64_t等)类型 | +| 使用void*作为类句柄 | 不显示的写每个类具体包含什么| 实现简单，并且让接口脱离实现细节 | +| 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

+
+
+ + +
+
+
+ + +
+ +
+

+ © Copyright 2016, PaddlePaddle developers. + +

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