diff --git a/develop/doc/_sources/design/python_api.md.txt b/develop/doc/_sources/design/python_api.md.txt index 5c68354274d577c29e054fdd1d3b17c7ea9b4cf9..6213da65c8c5931bc16e42574b8628b676424873 100644 --- a/develop/doc/_sources/design/python_api.md.txt +++ b/develop/doc/_sources/design/python_api.md.txt @@ -15,9 +15,9 @@ Please be aware that these Python classes need to maintain some construction-tim ### Program -A `ProgramDesc` describes a [DL program](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/program.md), which is composed of an array of `BlockDesc`s. A `BlockDesc` refers to its parent block by its index in the array. For example, operators in the step block of an RNN operator needs to be able to access variables in its ancessor blocks. +A `ProgramDesc` describes a [DL program](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/program.md), which is composed of an array of `BlockDesc`s. The `BlockDesc`s in a `ProgramDesc` can have a tree-like hierarchical structure. However, the `ProgramDesc` onlys stores a flattened array of `BlockDesc`s. A `BlockDesc` refers to its parent block by its index in the array. For example, operators in the step block of an RNN operator need to be able to access variables in its ancestor blocks. -Whenever we create a block, we need set its parent block to the current block, so the Python class `Program` needs to maintain a data member `current_block`. +Whenever we create a block, we need to set its parent block to the current block, hence the Python class `Program` needs to maintain a data member `current_block`. ```python class Program(objects): @@ -81,13 +81,13 @@ class Block(objects): self.ops.prepend(Operator(self, ...)) ``` -`create_parameter` is necessary because parameters are global variables, those defined in the global block, but can be created in some sub-blocks, e.g., an FC layer in the step block of an RNN operator. +`create_parameter` is necessary because parameters are global variables, defined in the global block, but can be created in some sub-blocks. For example, an FC layer in the step block of an RNN operator. -`prepand_operator` is necessary because the constructor of `Parameter` needs to create the initialize (or load) operator of the parameter, and would like to put it in the *preamble* of the global block. +`prepend_operator` is necessary because the constructor of `Parameter` needs to create the initialize (or load) operator of the parameter, and would like to put it in the *preamble* of the global block. ### Operator -The `Operator` class fills in the `OpDesc` message and calls the C++ function `InferShape` to infer output shape from input shape. +The `Operator` class fills in the `OpDesc` message and calls the C++ function `InferShape` to infer the output shapes from the input shapes. ```python class Operator(object): @@ -105,7 +105,7 @@ class Operator(object): return self.proto.type() ``` -`Operator` creates the `OpDesc` message in C++ space, so could it call the `InferShape` function, which is in C++. +`Operator` creates the `OpDesc` message in C++ space, so that it can call the `InferShape` function, which is in C++. ### Variable @@ -128,7 +128,7 @@ class Variable(object): self.writer = None ``` -Please be aware of `self.writer`, that tracks operator who creates the variable. It possible that there are more than one operators who write a variable, but in Python space, each writes to a variable is represented by a Variable class. This is guaranteed by the fact that **`core.NewVarDesc` must NOT create a new `VarDesc` message if its name already exists in the specified block**. +Please be aware of `self.writer`, that tracks operator who creates the variable. It possible that there are more than one operators who write a variable, but in Python space, each write to a variable is represented by a Variable class. This is guaranteed by the fact that **`core.NewVarDesc` must NOT create a new `VarDesc` message if its name already exists in the specified block**. ### Parameter @@ -155,7 +155,7 @@ class Parameter(Variable): initialize_op_attrs) ``` -When users create a parameter, s/he can call +When users create a parameter, they can call ```python program.create_parameter( diff --git a/develop/doc/design/python_api.html b/develop/doc/design/python_api.html index 2faaa6d7b234eb0173067e4127e1d9e60bceb0e8..1d17c428858252d2fa371bc5949250ed27d5ed53 100644 --- a/develop/doc/design/python_api.html +++ b/develop/doc/design/python_api.html @@ -191,8 +191,8 @@

Core Concepts

Program

-

A ProgramDesc describes a DL program, which is composed of an array of BlockDescs. A BlockDesc refers to its parent block by its index in the array. For example, operators in the step block of an RNN operator needs to be able to access variables in its ancessor blocks.

-

Whenever we create a block, we need set its parent block to the current block, so the Python class Program needs to maintain a data member current_block.

+

A ProgramDesc describes a DL program, which is composed of an array of BlockDescs. The BlockDescs in a ProgramDesc can have a tree-like hierarchical structure. However, the ProgramDesc onlys stores a flattened array of BlockDescs. A BlockDesc refers to its parent block by its index in the array. For example, operators in the step block of an RNN operator need to be able to access variables in its ancestor blocks.

+

Whenever we create a block, we need to set its parent block to the current block, hence the Python class Program needs to maintain a data member current_block.

class Program(objects):
     def __init__(self):
         self.proto = core.NewProgram() # a C++ ProgramDesc pointer.
@@ -252,12 +252,12 @@
        self.ops.prepend(Operator(self, ...))
-

create_parameter is necessary because parameters are global variables, those defined in the global block, but can be created in some sub-blocks, e.g., an FC layer in the step block of an RNN operator.

-

prepand_operator is necessary because the constructor of Parameter needs to create the initialize (or load) operator of the parameter, and would like to put it in the preamble of the global block.

+

create_parameter is necessary because parameters are global variables, defined in the global block, but can be created in some sub-blocks. For example, an FC layer in the step block of an RNN operator.

+

prepend_operator is necessary because the constructor of Parameter needs to create the initialize (or load) operator of the parameter, and would like to put it in the preamble of the global block.

Operator

-

The Operator class fills in the OpDesc message and calls the C++ function InferShape to infer output shape from input shape.

+

The Operator class fills in the OpDesc message and calls the C++ function InferShape to infer the output shapes from the input shapes.

class Operator(object):
     def __init__(self,
                  block,  # Block
@@ -273,7 +273,7 @@
         return self.proto.type()
-

Operator creates the OpDesc message in C++ space, so could it call the InferShape function, which is in C++.

+

Operator creates the OpDesc message in C++ space, so that it can call the InferShape function, which is in C++.

Variable

@@ -294,7 +294,7 @@ self.writer = None
-

Please be aware of self.writer, that tracks operator who creates the variable. It possible that there are more than one operators who write a variable, but in Python space, each writes to a variable is represented by a Variable class. This is guaranteed by the fact that core.NewVarDesc must NOT create a new VarDesc message if its name already exists in the specified block.

+

Please be aware of self.writer, that tracks operator who creates the variable. It possible that there are more than one operators who write a variable, but in Python space, each write to a variable is represented by a Variable class. This is guaranteed by the fact that core.NewVarDesc must NOT create a new VarDesc message if its name already exists in the specified block.

Parameter

@@ -319,7 +319,7 @@ initialize_op_attrs)
-

When users create a parameter, s/he can call

+

When users create a parameter, they can call

program.create_parameter(
   ...,
   init_attr={
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index 142969da337e6f731fc668e4bdd53cdc3fba253f..ea5f6002a54500df4799344375cba2dd660f44e6 100644
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\ No newline at end of file
diff --git a/develop/doc_cn/_sources/design/python_api.md.txt b/develop/doc_cn/_sources/design/python_api.md.txt
index 5c68354274d577c29e054fdd1d3b17c7ea9b4cf9..6213da65c8c5931bc16e42574b8628b676424873 100644
--- a/develop/doc_cn/_sources/design/python_api.md.txt
+++ b/develop/doc_cn/_sources/design/python_api.md.txt
@@ -15,9 +15,9 @@ Please be aware that these Python classes need to maintain some construction-tim
 
 ### Program
 
-A `ProgramDesc` describes a [DL program](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/program.md), which is composed of an array of `BlockDesc`s.  A `BlockDesc` refers to its parent block by its index in the array.  For example, operators in the step block of an RNN operator needs to be able to access variables in its ancessor blocks.
+A `ProgramDesc` describes a [DL program](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/program.md), which is composed of an array of `BlockDesc`s.  The `BlockDesc`s in a `ProgramDesc` can have a tree-like hierarchical structure. However, the `ProgramDesc` onlys stores a flattened array of `BlockDesc`s. A `BlockDesc` refers to its parent block by its index in the array.  For example, operators in the step block of an RNN operator need to be able to access variables in its ancestor blocks.
 
-Whenever we create a block, we need set its parent block to the current block, so the Python class `Program` needs to maintain a data member `current_block`.
+Whenever we create a block, we need to set its parent block to the current block, hence the Python class `Program` needs to maintain a data member `current_block`.
 
 ```python
 class Program(objects):
@@ -81,13 +81,13 @@ class Block(objects):
        self.ops.prepend(Operator(self, ...))
 ```
 
-`create_parameter` is necessary because parameters are global variables, those defined in the global block, but can be created in some sub-blocks, e.g., an FC layer in the step block of an RNN operator.
+`create_parameter` is necessary because parameters are global variables, defined in the global block, but can be created in some sub-blocks. For example, an FC layer in the step block of an RNN operator.
 
-`prepand_operator` is necessary because the constructor of `Parameter` needs to create the initialize (or load) operator of the parameter, and would like to put it in the *preamble* of the global block.
+`prepend_operator` is necessary because the constructor of `Parameter` needs to create the initialize (or load) operator of the parameter, and would like to put it in the *preamble* of the global block.
 
 ### Operator
 
-The `Operator` class fills in the `OpDesc` message and calls the C++ function `InferShape` to infer output shape from input shape.
+The `Operator` class fills in the `OpDesc` message and calls the C++ function `InferShape` to infer the output shapes from the input shapes.
 
 ```python
 class Operator(object):
@@ -105,7 +105,7 @@ class Operator(object):
         return self.proto.type()
 ```
 
-`Operator` creates the `OpDesc` message in C++ space, so could it call the `InferShape` function, which is in C++.
+`Operator` creates the `OpDesc` message in C++ space, so that it can call the `InferShape` function, which is in C++.
 
 ### Variable
 
@@ -128,7 +128,7 @@ class Variable(object):
         self.writer = None
 ```
 
-Please be aware of `self.writer`, that tracks operator who creates the variable.  It possible that there are more than one operators who write a variable, but in Python space, each writes to a variable is represented by a Variable class.  This is guaranteed by the fact that **`core.NewVarDesc` must NOT create a new `VarDesc` message if its name already exists in the specified block**.
+Please be aware of `self.writer`, that tracks operator who creates the variable.  It possible that there are more than one operators who write a variable, but in Python space, each write to a variable is represented by a Variable class.  This is guaranteed by the fact that **`core.NewVarDesc` must NOT create a new `VarDesc` message if its name already exists in the specified block**.
 
 ### Parameter
 
@@ -155,7 +155,7 @@ class Parameter(Variable):
                                initialize_op_attrs)
 ```
 
-When users create a parameter, s/he can call
+When users create a parameter, they can call
 
 ```python
 program.create_parameter(
diff --git a/develop/doc_cn/design/python_api.html b/develop/doc_cn/design/python_api.html
index 6db3744e3590509ec1e99b74c0cc77a7ff269da3..9145bf326651263a92ec4eb088eb538e03f9069e 100644
--- a/develop/doc_cn/design/python_api.html
+++ b/develop/doc_cn/design/python_api.html
@@ -205,8 +205,8 @@
 
Core Concepts

 

 
Program

-
A ProgramDesc describes a DL program, which is composed of an array of BlockDescs.  A BlockDesc refers to its parent block by its index in the array.  For example, operators in the step block of an RNN operator needs to be able to access variables in its ancessor blocks.

-
Whenever we create a block, we need set its parent block to the current block, so the Python class Program needs to maintain a data member current_block.

+
A ProgramDesc describes a DL program, which is composed of an array of BlockDescs.  The BlockDescs in a ProgramDesc can have a tree-like hierarchical structure. However, the ProgramDesc onlys stores a flattened array of BlockDescs. A BlockDesc refers to its parent block by its index in the array.  For example, operators in the step block of an RNN operator need to be able to access variables in its ancestor blocks.

+
Whenever we create a block, we need to set its parent block to the current block, hence the Python class Program needs to maintain a data member current_block.

 
class Program(objects):
     def __init__(self):
         self.proto = core.NewProgram() # a C++ ProgramDesc pointer.
@@ -266,12 +266,12 @@
        self.ops.prepend(Operator(self, ...))
 

 

-
create_parameter is necessary because parameters are global variables, those defined in the global block, but can be created in some sub-blocks, e.g., an FC layer in the step block of an RNN operator.

-
prepand_operator is necessary because the constructor of Parameter needs to create the initialize (or load) operator of the parameter, and would like to put it in the preamble of the global block.

+
create_parameter is necessary because parameters are global variables, defined in the global block, but can be created in some sub-blocks. For example, an FC layer in the step block of an RNN operator.

+
prepend_operator is necessary because the constructor of Parameter needs to create the initialize (or load) operator of the parameter, and would like to put it in the preamble of the global block.

 

 

 
Operator

-
The Operator class fills in the OpDesc message and calls the C++ function InferShape to infer output shape from input shape.

+
The Operator class fills in the OpDesc message and calls the C++ function InferShape to infer the output shapes from the input shapes.

 
class Operator(object):
     def __init__(self,
                  block,  # Block
@@ -287,7 +287,7 @@
         return self.proto.type()
 

 

-
Operator creates the OpDesc message in C++ space, so could it call the InferShape function, which is in C++.

+
Operator creates the OpDesc message in C++ space, so that it can call the InferShape function, which is in C++.

 

 

 
Variable

@@ -308,7 +308,7 @@
         self.writer = None
-

Please be aware of self.writer, that tracks operator who creates the variable. It possible that there are more than one operators who write a variable, but in Python space, each writes to a variable is represented by a Variable class. This is guaranteed by the fact that core.NewVarDesc must NOT create a new VarDesc message if its name already exists in the specified block.

+

Please be aware of self.writer, that tracks operator who creates the variable. It possible that there are more than one operators who write a variable, but in Python space, each write to a variable is represented by a Variable class. This is guaranteed by the fact that core.NewVarDesc must NOT create a new VarDesc message if its name already exists in the specified block.

Parameter

@@ -333,7 +333,7 @@ initialize_op_attrs)
-

When users create a parameter, s/he can call

+

When users create a parameter, they can call

program.create_parameter(
   ...,
   init_attr={
diff --git a/develop/doc_cn/searchindex.js b/develop/doc_cn/searchindex.js
index f8681aa10bee38adc2c57e3d142c7585ba0d1b96..b67c3de95fb726b695e2f6d87e49f015fbc5c1c2 100644
--- a/develop/doc_cn/searchindex.js
+++ b/develop/doc_cn/searchindex.js
@@ -1 +1 @@
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