diff --git a/doc/fluid/getstarted/Developer's_Guide_to_Paddle_Fluid.md b/doc/fluid/getstarted/Developer's_Guide_to_Paddle_Fluid.md
index 79df6c59578e2acf495a3453ab61f069c3f09a49..a993a43001d93335039c6bb7a2ee4a8799a7472c 100644
--- a/doc/fluid/getstarted/Developer's_Guide_to_Paddle_Fluid.md
+++ b/doc/fluid/getstarted/Developer's_Guide_to_Paddle_Fluid.md
@@ -82,11 +82,11 @@
# Fluid: 系统形态
-- [编译器式的执行流程,区分编译时和运行时](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/fluid/design/motivation/fluid_compiler.md)
+- [编译器式的执行流程,区分编译时和运行时](https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/fluid/design/motivation/fluid_compiler.md)
-
+
---
@@ -125,7 +125,7 @@
- 在科学计算领域,计算图是一种描述计算的经典方式。下图展示了从前向计算图(蓝色)开始,通过添加反向(红色)和优化算法相关(绿色)操作,构建出整个计算图的过程:
-
-
+
@@ -224,7 +224,7 @@
1. 创建`Block`,依次执行`Block`
-![](https://raw.githubusercontent.com/PaddlePaddle/Paddle/develop/doc/fluid/images/compile_run_time.png)
+![](https://raw.githubusercontent.com/PaddlePaddle/Fluiddoc/develop/doc/fluid/images/compile_run_time.png)
Figure. 编译时运行时概览
@@ -246,7 +246,7 @@
cost = fluid.layers.square_error_cost(input=y_predict, label=y)
```
-- 条件分支: [swith](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/fluid/design/execution/switch.md)、[ifelse](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/fluid/design/execution/if_else_op.md)
+- 条件分支: [swith](https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/fluid/design/execution/switch.md)、[ifelse](https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/fluid/design/execution/if_else_op.md)
```python
a = fluid.Var(10)
@@ -330,7 +330,7 @@
---
-### 编译时概念 :==**[Transpiler](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/fluid/design/motivation/fluid_compiler.md)**==
+### 编译时概念 :==**[Transpiler](https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/fluid/design/motivation/fluid_compiler.md)**==
1. 接受一段`ProgramDesc`作为输入,生成一段新的`ProgramDesc`
@@ -349,7 +349,7 @@
### Transplier
-
+
---
@@ -357,7 +357,7 @@
### 打印 `ProgramDesc`
-
+
@@ -384,8 +384,8 @@
-![](https://raw.githubusercontent.com/PaddlePaddle/Paddle/develop/doc/fluid/images/program_desc1.png) |
-![](https://raw.githubusercontent.com/PaddlePaddle/Paddle/develop/doc/fluid/images/program_desc2.png) |
+![](https://raw.githubusercontent.com/PaddlePaddle/Fluiddoc/develop/doc/fluid/images/program_desc1.png) |
+![](https://raw.githubusercontent.com/PaddlePaddle/Fluiddoc/develop/doc/fluid/images/program_desc2.png) |
@@ -501,7 +501,7 @@
-
+
- 图(a)的LoD 信息
@@ -518,7 +518,7 @@
#### Tensor, Variable, Scope 之间的关系
-
+
@@ -541,7 +541,7 @@
-
+
|
输入 1. `ProgramDesc` 2. `Scope` 3.`block_id`
解释执行步骤 1. 创建所有 Variables 2. 逐一创建 Operator 并运行
|
@@ -554,7 +554,7 @@
-
+
- operator 无状态,Operator的核心是==Run==方法
@@ -575,10 +575,10 @@
-
+
|
-
+
|
@@ -800,7 +800,7 @@ class GPUAllocator : public SystemAllocator {
- 可以将Place类型理解为一个整数加上一个枚举型,包括:设备号 + 设备类型
-
+
- DeviceContext
- 不同的Place会对应一个相应的DeviceContext,用于组织管理与设备相关的信息
@@ -938,7 +938,7 @@ void Run(const framework::Scope &scope,
-
+
- `dynamicRNN` 中的重要元素
@@ -1003,7 +1003,7 @@ void Run(const framework::Scope &scope,
- 以机器翻译的RNN encoder-decoder 模型(涉及了`dynamicRNN`的所有设计要素)为例,下图是 RNN encoder-decoder 的原始输入:
- ![](https://raw.githubusercontent.com/PaddlePaddle/Paddle/develop/doc/fluid/images/raw_input.png)
Figure. RNN encoder-decoder 原始batch 输入数据
+ ![](https://raw.githubusercontent.com/PaddlePaddle/Fluiddoc/develop/doc/fluid/images/raw_input.png)
Figure. RNN encoder-decoder 原始batch 输入数据
- source word sequences 是encoder RNN的输出,是一个LoDTensor
@@ -1035,14 +1035,14 @@ void Run(const framework::Scope &scope,
### 运行实例
-
+
---
### 运行实例
-
+
@@ -1055,7 +1055,7 @@ void Run(const framework::Scope &scope,
### 运行实例
-
+
@@ -1071,14 +1071,14 @@ void Run(const framework::Scope &scope,
### 运行实例:batch 1 ~ 2
-![](https://raw.githubusercontent.com/PaddlePaddle/Paddle/develop/doc/fluid/images/2.png)
Figure. 第1、2个batch输入dynamicRNN的batch输入
+![](https://raw.githubusercontent.com/PaddlePaddle/Fluiddoc/develop/doc/fluid/images/2.png)
Figure. 第1、2个batch输入dynamicRNN的batch输入
---
### 运行实例:batch 3 ~ 4
-![](https://raw.githubusercontent.com/PaddlePaddle/Paddle/develop/doc/fluid/images/3.png)
Figure. 第3、4个batch输入dynamicRNN的batch输入
+![](https://raw.githubusercontent.com/PaddlePaddle/Fluiddoc/develop/doc/fluid/images/3.png)
Figure. 第3、4个batch输入dynamicRNN的batch输入
---
@@ -1086,7 +1086,7 @@ void Run(const framework::Scope &scope,
### 运行实例:batch 5 ~ 7
-![](https://raw.githubusercontent.com/PaddlePaddle/Paddle/develop/doc/fluid/images/4.png)
Figure. 第5、6、7个batch输入dynamicRNN的batch输入
+![](https://raw.githubusercontent.com/PaddlePaddle/Fluiddoc/develop/doc/fluid/images/4.png)
Figure. 第5、6、7个batch输入dynamicRNN的batch输入
---
@@ -1106,12 +1106,12 @@ void Run(const framework::Scope &scope,
-
+
|
-
+
|
@@ -1127,32 +1127,32 @@ void Run(const framework::Scope &scope,
- 设计概览
- - 重构概览 [->](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/refactorization.md)
- - fluid [->](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/fluid.md)
- - fluid_compiler [->](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/fluid/design/motivation/fluid_compiler.md)
+ - 重构概览 [->](https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/design/refactorization.md)
+ - fluid [->](https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/design/fluid.md)
+ - fluid_compiler [->](https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/fluid/design/motivation/fluid_compiler.md)
- 核心概念
- - variable 描述 [->](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/var_desc.md)
+ - variable 描述 [->](https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/design/var_desc.md)
- Tensor [->](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/framework/tensor.md)
- LoDTensor [->](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/framework/lod_tensor.md)
- - TensorArray [->](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/tensor_array.md)
- - Program [->](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/program.md)
- - Block [->](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/block.md)
- - Scope [->](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/scope.md)
+ - TensorArray [->](https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/design/tensor_array.md)
+ - Program [->](https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/design/program.md)
+ - Block [->](https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/design/block.md)
+ - Scope [->](https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/design/scope.md)
---
- 重要功能模块
- - backward [->](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/backward.md)
- - 内存优化 [->](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/memory_optimization.md)
- - evaluator [->](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/executor.md)
- - python API [->](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/python_api.md)
- - regularization [->](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/regularization.md)
+ - backward [->](https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/design/backward.md)
+ - 内存优化 [->](https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/design/memory_optimization.md)
+ - evaluator [->](https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/design/executor.md)
+ - python API [->](https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/design/python_api.md)
+ - regularization [->](https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/design/regularization.md)
- 开发指南
- - 支持新设硬件设备库 [->](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/support_new_device.md)
- - 添加新的Operator [->](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/howto/dev/new_op_cn.md)
+ - 支持新设硬件设备库 [->](https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/design/support_new_device.md)
+ - 添加新的Operator [->](https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/howto/dev/new_op_cn.md)
- 添加新的Kernel [->](
-https://github.com/PaddlePaddle/Paddle/blob/develop/doc/howto/dev/new_op_kernel_en.md)
+https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/howto/dev/new_op_kernel_en.md)
@@ -1487,7 +1487,7 @@ class ClipKernel : public framework::OpKernel {
- 为了使`OpKernel`的计算过程书写更加简单,并且CPU、CUDA的代码可以复用, Fluid 使用 Eigen 作为基础的矩阵运算库
- Fluid对Eigen unsupported Tensor提供了一些基本的封装,可以在`Compute`接口中直接调用
- - 关于在PaddlePaddle中如何使用Eigen库,请参考[使用文档](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/fluid/dev/use_eigen_cn.md)。
+ - 关于在PaddlePaddle中如何使用Eigen库,请参考[使用文档](https://github.com/PaddlePaddle/Fluiddoc/blob/develop/doc/fluid/dev/use_eigen_cn.md)。