From d6bdc4639ed5dd17b4dd236698505308eefb31e5 Mon Sep 17 00:00:00 2001 From: Travis CI Date: Tue, 29 Aug 2017 09:04:45 +0000 Subject: [PATCH] Deploy to GitHub Pages: 58419e7c4e7ac8839a1e213b614a3914a9ec9f0e --- .../_sources/howto/dev/new_op_cn.md.txt | 56 +++++++++++++------ develop/doc_cn/howto/dev/new_op_cn.html | 55 +++++++++++------- develop/doc_cn/searchindex.js | 2 +- 3 files changed, 77 insertions(+), 36 deletions(-) diff --git a/develop/doc_cn/_sources/howto/dev/new_op_cn.md.txt b/develop/doc_cn/_sources/howto/dev/new_op_cn.md.txt index ebd2cf3ff0..7f8da2da5a 100644 --- a/develop/doc_cn/_sources/howto/dev/new_op_cn.md.txt +++ b/develop/doc_cn/_sources/howto/dev/new_op_cn.md.txt @@ -5,12 +5,13 @@ - [定义ProtoMaker类](#定义ProtoMaker类) - [定义Operator类](#定义Operator类) - [定义OpKernel类](#定义OpKernel类) - - [注册类](#注册类) + - [注册Operator](#注册Operator) - [编译](#编译) - [绑定Python](#绑定Python) - [实现单元测试](#实现单元测试) - [前向Operator单测](#前向Operator单测) - [反向Operator单测](#反向Operator单测) + - [编译和执行](#编译和执行) ## 概念简介 @@ -22,19 +23,17 @@ - `framework::OperatorWithKernel`：继承自OperatorBase，Op有计算函数，称作有Kernel。 - `class OpProtoAndCheckerMaker`：描述该Op的输入、输出、属性、注释,主要用于Python API接口生成 -依据是否包含kernel，将Op分为两种：包含Kernel的Op和不包含kernel的Op，前者Op的定义继承自`OperatorBase`，后者继承自`OperatorWithKernel`。本教程主要介绍带Kernel的Op如何写，简单总结如下： +依据是否包含kernel，将Op分为两种：包含Kernel的Op和不包含kernel的Op，前者Op的定义继承自`OperatorBase`，后者继承自`OperatorWithKernel`。本教程主要介绍带Kernel的Op如何写，简单总结Op需要包含的内容如下： -Forward Op需要包含： - - - OpProtoMake定义 - - Op定义 - - Kernel实现 + + 内容 | 定义位置 +-------------- | :---------------------- +OpProtoMake定义 | `.cc`文件，Backward Op不需要定义OpProtoMake +Op定义 | `.cc`文件 +Kernel实现 | CPU、GPU共享Kernel在`.h`文件，否则，CPU可以在`.cc`文件，GPU可在`.cu`文件。 +注册Op | Op注册在`.cc`文件；Kernel注册CPU在`.cc`文件，GPU在`.cu`文件 + -与之对应的Backward Op包含： - - - Op定义 - - Kernel实现 - 下面以矩阵乘操作，即[MulOp](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/operators/mul_op.cc)为例来介绍如何写带Kernel的Operator。 @@ -137,8 +136,9 @@ MulOp(const std::string &type, const framework::VariableNameMap &inputs, ``` 还需要重写`InferShape`接口。`InferShape`为const函数，不能修改Op的成员变量，参数为`const framework::InferShapeContext &ctx`，通过该参数可获取到输入输出以及属性。它的功能是： - - 1). 做检查， 尽早报错：检查输入数据维度、类型等是否合法 - - 2). 设置输出Tensor的形状 + + - 1). 做检查， 尽早报错：检查输入数据维度、类型等是否合法。 + - 2). 设置输出Tensor的形状。 通常`OpProtoMaker`和`Op`类的定义写在`.cc`文件中，和要讲到的注册函数一起放在`.cc`中 @@ -172,7 +172,7 @@ class MulKernel : public framework::OpKernel { 到此前向Op实现完成，需要在`.cc`文件中注册该op和kernel。反向Op类的定义和Kernel定义与前向Op类似，这里不再重复。但注意，反向Op没有`ProtoMaker`。 -### 4. 注册类 +### 4. 注册Operator 在`.cc`文件中注册前向、反向Op类，注册CPU Kernel。 @@ -297,4 +297,28 @@ class TestMulOp(unittest.TestCase): - 调用`create_op("mul")`创建反向Op对应的前向Op。 - 定义输入`inputs`。 - 调用`compare_grad`函数对比CPU、GPU计算结果。 - - 调用`check_grad`检查梯度稳定性。 + - 调用`check_grad`检查梯度稳定性，这里采用数值法检测梯度正确性。 + - 第一个参数`op` : 前向op。 + - 第二个参数`inputs` : 输入词典，词典的Key和`ProtoMaker`定义保持一致。 + - 第三个参数`set(["X", "Y"])` : 指定对输入变量`X`、`Y`做梯度检测。 + - 第四个参数`"Out"` : 指定前向网络最终的输出目标变量`Out` + + +### 编译和执行 + +单测完成之后，在[`python/paddle/v2/framework/tests/CMakeLists.txt`](https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/v2/framework/tests/CMakeLists.txt)里添加编译： + +``` +py_test(test_mul_op SRCS test_mul_op.py) +``` + +编译时需要打开`WITH_TESTING`, 即 `cmake paddle_dir -DWITH_TESTING=ON`，编译成功之后执行单测命令为： + +``` +make test ARGS="-R test_mul_op -V" +``` +或者: + +``` +ctest -R test_mul_op +``` diff --git a/develop/doc_cn/howto/dev/new_op_cn.html b/develop/doc_cn/howto/dev/new_op_cn.html index 60fc51ae79..6e8cafc695 100644 --- a/develop/doc_cn/howto/dev/new_op_cn.html +++ b/develop/doc_cn/howto/dev/new_op_cn.html @@ -193,7 +193,7 @@
  • 定义ProtoMaker类
  • 定义Operator类
  • 定义OpKernel类
    • -
  • 注册类
    • +
  • 注册Operator
  • 编译
    • @@ -201,6 +201,7 @@
  • 实现单元测试
    • @@ -213,18 +214,11 @@
  • framework::OperatorWithKernel：继承自OperatorBase，Op有计算函数，称作有Kernel。
  • class OpProtoAndCheckerMaker：描述该Op的输入、输出、属性、注释,主要用于Python API接口生成
    • -

    依据是否包含kernel，将Op分为两种：包含Kernel的Op和不包含kernel的Op，前者Op的定义继承自OperatorBase，后者继承自OperatorWithKernel。本教程主要介绍带Kernel的Op如何写，简单总结如下：

    -

    Forward Op需要包含：

    - -

    与之对应的Backward Op包含：

    - +

    依据是否包含kernel，将Op分为两种：包含Kernel的Op和不包含kernel的Op，前者Op的定义继承自OperatorBase，后者继承自OperatorWithKernel。本教程主要介绍带Kernel的Op如何写，简单总结Op需要包含的内容如下：

    +

    内容 | 定义位置————– | :———————-OpProtoMake定义 | .cc文件，Backward Op不需要定义OpProtoMake +Op定义 | .cc文件 +Kernel实现 | CPU、GPU共享Kernel在.h文件，否则，CPU可以在.cc文件，GPU可在.cu文件。 +注册Op | Op注册在.cc文件；Kernel注册CPU在.cc文件，GPU在.cu文件

    下面以矩阵乘操作，即MulOp为例来介绍如何写带Kernel的Operator。

    @@ -311,9 +305,11 @@ : OperatorWithKernel(type, inputs, outputs, attrs) {}
    -

    还需要重写InferShape接口。InferShape为const函数，不能修改Op的成员变量，参数为const framework::InferShapeContext &ctx，通过该参数可获取到输入输出以及属性。它的功能是： -- 1). 做检查， 尽早报错：检查输入数据维度、类型等是否合法 -- 2). 设置输出Tensor的形状

    +

    还需要重写InferShape接口。InferShape为const函数，不能修改Op的成员变量，参数为const framework::InferShapeContext &ctx，通过该参数可获取到输入输出以及属性。它的功能是：

    +

    通常OpProtoMaker和Op类的定义写在.cc文件中，和要讲到的注册函数一起放在.cc中

    @@ -342,8 +338,8 @@

    注意，不同设备(CPU、GPU)共享一个Op定义，是否则共享同一个OpKernel，取决于Compute调用的函数是否支持不同设备。MulOp的CPU、GPU实现共享同一个Kernel，OpKernel不共享的例子可以参考OnehotCrossEntropyOpKernel。

    到此前向Op实现完成，需要在.cc文件中注册该op和kernel。反向Op类的定义和Kernel定义与前向Op类似，这里不再重复。但注意，反向Op没有ProtoMaker。

    -
    -

    4. 注册类

    +
    +

    4. 注册Operator

    在.cc文件中注册前向、反向Op类，注册CPU Kernel。

    namespace ops = paddle::operators;
 REGISTER_OP(mul, ops::MulOp, ops::MulOpMaker, mul_grad, ops::MulOpGrad);
@@ -457,9 +453,30 @@
 
  • 调用create_op("mul")创建反向Op对应的前向Op。
    • 
 
  • 定义输入inputs。
    • 
 
  • 调用compare_grad函数对比CPU、GPU计算结果。
    • 
-
  • 调用check_grad检查梯度稳定性。
    • 
+
  • 调用check_grad检查梯度稳定性，这里采用数值法检测梯度正确性。
      
+
    • 第一个参数op : 前向op。
      • 
+
    • 第二个参数inputs : 输入词典，词典的Key和ProtoMaker定义保持一致。
      • 
+
    • 第三个参数set(["X", "Y"]) : 指定对输入变量X、Y做梯度检测。
      • 
+
    • 第四个参数"Out" : 指定前向网络最终的输出目标变量Out
      • 
+
    
+
    •
    +
    +

    编译和执行

    +

    单测完成之后，在python/paddle/v2/framework/tests/CMakeLists.txt里添加编译：

    +
    py_test(test_mul_op SRCS test_mul_op.py)
+
    +
    +

    编译时需要打开WITH_TESTING, 即 cmake paddle_dir -DWITH_TESTING=ON，编译成功之后执行单测命令为：

    +
    make test ARGS="-R test_mul_op -V"
+
    +
    +

    或者:

    +
    ctest -R test_mul_op
+
    +
    +
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