diff --git a/develop/doc/_sources/design/register_grad_op.md.txt b/develop/doc/_sources/design/register_grad_op.md.txt index 3cf8a59446d244bb3a388b87b14273d9096c839a..9f1ce4bae7b393cb9f04909e5e4917b8d660771c 100644 --- a/develop/doc/_sources/design/register_grad_op.md.txt +++ b/develop/doc/_sources/design/register_grad_op.md.txt @@ -3,15 +3,17 @@ ## The Problem Posed -In our current operator registration mechanism, for each operator, the programmer should register a *gradient operator creator* function, which takes a C++ operator instance, and returns the corresponding gradient instance. +Currently, for each C++ operator class definition, there registers a *gradient operator creator* function, which takes a C++ operator instance and returns the corresponding gradient operator instance. -However, as we decided to separate the *compilation* and *execution* of DL models, we need to reshape the creator to take a protobuf `OpDesc` message, and returns a corresponding message. +However, we noticed two problems with the current deisgn: -More than that, the new registration mechanism need to support the fact that an operators' gradient computation might be a composition of operators. +1. As we decided to separate the *compilation* and *execution* phases, we need to change the creator to take an `OpDesc` protobuf message in a `ProgramDesc` and inserts corresponding `OpDesc` messages into the `ProgramDesc` message. -## Current Implementation +1. Some operator's gradient computation requires more than one gradient operators. For example, the gradient of *minus* consists of two operators -- an identity operaotr and a scale operator. So we need to make the registration mechanism to support the mapping from an operator to a set of operators for gradient computation. -OpInfos store in a association map which key is the operator type. The `grad_op_type` indicate associated gradient operator type. Operator can create gradient operator by `OpInfo::creator_` of gradient. The pseudo code is +## The Current Implementation + +The C++ class `OpInfos` store in a association map which key is the operator type. The `grad_op_type` indicate associated gradient operator type. Operator can create gradient operator by `OpInfo::creator_` of gradient. The pseudo code is ```cpp struct OpInfo { diff --git a/develop/doc/design/register_grad_op.html b/develop/doc/design/register_grad_op.html index d1b98fd1584d33695dd7983f0d5f550cf7fb30fe..094a2b1967dcdaa00a375681c0d8fe9dd717ba09 100644 --- a/develop/doc/design/register_grad_op.html +++ b/develop/doc/design/register_grad_op.html @@ -181,13 +181,16 @@

Design Doc: Gradient Operators Registration

The Problem Posed

-

In our current operator registration mechanism, for each operator, the programmer should register a gradient operator creator function, which takes a C++ operator instance, and returns the corresponding gradient instance.

-

However, as we decided to separate the compilation and execution of DL models, we need to reshape the creator to take a protobuf OpDesc message, and returns a corresponding message.

-

More than that, the new registration mechanism need to support the fact that an operators’ gradient computation might be a composition of operators.

+

Currently, for each C++ operator class definition, there registers a gradient operator creator function, which takes a C++ operator instance and returns the corresponding gradient operator instance.

+

However, we noticed two problems with the current deisgn:

+
    +
  1. As we decided to separate the compilation and execution phases, we need to change the creator to take an OpDesc protobuf message in a ProgramDesc and inserts corresponding OpDesc messages into the ProgramDesc message.
    2. +
  2. Some operator’s gradient computation requires more than one gradient operators. For example, the gradient of minus consists of two operators – an identity operaotr and a scale operator. So we need to make the registration mechanism to support the mapping from an operator to a set of operators for gradient computation.
    3. +
-
-

Current Implementation

-

OpInfos store in a association map which key is the operator type. The grad_op_type indicate associated gradient operator type. Operator can create gradient operator by OpInfo::creator_ of gradient. The pseudo code is

+
+

The Current Implementation

+

The C++ class OpInfos store in a association map which key is the operator type. The grad_op_type indicate associated gradient operator type. Operator can create gradient operator by OpInfo::creator_ of gradient. The pseudo code is

struct OpInfo {
   std::function<OperatorBase*(...)> creator_;
   std::string grad_op_type_;
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index ec69717d187900759224150f51bcef65f1f5f850..1d35613b6188b773fd6adb1cb6946663d4045b41 100644
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\ No newline at end of file
diff --git a/develop/doc_cn/_sources/design/register_grad_op.md.txt b/develop/doc_cn/_sources/design/register_grad_op.md.txt
index 3cf8a59446d244bb3a388b87b14273d9096c839a..9f1ce4bae7b393cb9f04909e5e4917b8d660771c 100644
--- a/develop/doc_cn/_sources/design/register_grad_op.md.txt
+++ b/develop/doc_cn/_sources/design/register_grad_op.md.txt
@@ -3,15 +3,17 @@
 
 ## The Problem Posed
 
-In our current operator registration mechanism, for each operator, the programmer should register a *gradient operator creator* function, which takes a C++ operator instance, and returns the corresponding gradient instance.
+Currently, for each C++ operator class definition, there registers a *gradient operator creator* function, which takes a C++ operator instance and returns the corresponding gradient operator instance.
 
-However, as we decided to separate the *compilation* and *execution* of DL models, we need to reshape the creator to take a protobuf `OpDesc` message, and returns a corresponding message.
+However, we noticed two problems with the current deisgn:
 
-More than that, the new registration mechanism need to support the fact that an operators' gradient computation might be a composition of operators.
+1. As we decided to separate the *compilation* and *execution* phases, we need to change the creator to take an `OpDesc` protobuf message in a `ProgramDesc` and inserts corresponding `OpDesc` messages into the `ProgramDesc` message.
 
-## Current Implementation
+1. Some operator's gradient computation requires more than one gradient operators.  For example, the gradient of *minus* consists of two operators -- an identity operaotr and a scale operator.  So we need to make the registration mechanism to support the mapping from an operator to a set of operators for gradient computation.
 
-OpInfos store in a association map which key is the operator type. The `grad_op_type` indicate associated gradient operator type. Operator can create gradient operator by `OpInfo::creator_` of gradient. The pseudo code is
+## The Current Implementation
+
+The C++ class `OpInfos` store in a association map which key is the operator type. The `grad_op_type` indicate associated gradient operator type. Operator can create gradient operator by `OpInfo::creator_` of gradient. The pseudo code is
 
 ```cpp
 struct OpInfo {
diff --git a/develop/doc_cn/design/register_grad_op.html b/develop/doc_cn/design/register_grad_op.html
index 91b4ba3991d86347365850f8e2d634699d427d69..db18e6a41603e67922d64620903c2b25098baf6e 100644
--- a/develop/doc_cn/design/register_grad_op.html
+++ b/develop/doc_cn/design/register_grad_op.html
@@ -195,13 +195,16 @@
 
Design Doc: Gradient Operators Registration

 

 
The Problem Posed

-
In our current operator registration mechanism, for each operator, the programmer should register a gradient operator creator function, which takes a C++ operator instance, and returns the corresponding gradient instance.

-
However, as we decided to separate the compilation and execution of DL models, we need to reshape the creator to take a protobuf OpDesc message, and returns a corresponding message.

-
More than that, the new registration mechanism need to support the fact that an operators’ gradient computation might be a composition of operators.

+
Currently, for each C++ operator class definition, there registers a gradient operator creator function, which takes a C++ operator instance and returns the corresponding gradient operator instance.

+
However, we noticed two problems with the current deisgn:

+
    
+
  1. As we decided to separate the compilation and execution phases, we need to change the creator to take an OpDesc protobuf message in a ProgramDesc and inserts corresponding OpDesc messages into the ProgramDesc message.
    2. 
+
  2. Some operator’s gradient computation requires more than one gradient operators.  For example, the gradient of minus consists of two operators – an identity operaotr and a scale operator.  So we need to make the registration mechanism to support the mapping from an operator to a set of operators for gradient computation.
    3. 
+

 

-

-
Current Implementation

-
OpInfos store in a association map which key is the operator type. The grad_op_type indicate associated gradient operator type. Operator can create gradient operator by OpInfo::creator_ of gradient. The pseudo code is

+

+
The Current Implementation

+
The C++ class OpInfos store in a association map which key is the operator type. The grad_op_type indicate associated gradient operator type. Operator can create gradient operator by OpInfo::creator_ of gradient. The pseudo code is

 
struct OpInfo {
   std::function<OperatorBase*(...)> creator_;
   std::string grad_op_type_;
diff --git a/develop/doc_cn/searchindex.js b/develop/doc_cn/searchindex.js
index 654f67b27949c61858dcf7af7285b3dc46be2080..bba76ab710a57ab4a20da0fdfa75b9a85496bfd8 100644
--- a/develop/doc_cn/searchindex.js
+++ b/develop/doc_cn/searchindex.js
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