From a9d31f97826b70a9acbc8044def9cf55ec0c97b1 Mon Sep 17 00:00:00 2001 From: Travis CI Date: Wed, 20 Sep 2017 20:54:32 +0000 Subject: [PATCH] Deploy to GitHub Pages: 2205b5ff300226d5828d05523e13d9f7cb7821d5 --- develop/doc/_sources/design/program.md.txt | 61 ++++ develop/doc/design/program.html | 291 +++++++++++++++++ develop/doc/objects.inv | Bin 2608 -> 2624 bytes develop/doc/searchindex.js | 2 +- develop/doc_cn/_sources/design/program.md.txt | 61 ++++ develop/doc_cn/design/program.html | 299 ++++++++++++++++++ develop/doc_cn/objects.inv | Bin 3142 -> 3159 bytes develop/doc_cn/searchindex.js | 2 +- 8 files changed, 714 insertions(+), 2 deletions(-) create mode 100644 develop/doc/_sources/design/program.md.txt create mode 100644 develop/doc/design/program.html create mode 100644 develop/doc_cn/_sources/design/program.md.txt create mode 100644 develop/doc_cn/design/program.html diff --git a/develop/doc/_sources/design/program.md.txt b/develop/doc/_sources/design/program.md.txt new file mode 100644 index 0000000000..fb8f86ac07 --- /dev/null +++ b/develop/doc/_sources/design/program.md.txt @@ -0,0 +1,61 @@ +# Design Doc: ProgramDesc + +The basic structure of a PaddlePaddle program is some nested blocks, as a C++ or Java program. + +As described in [graph.md](./graph.md), the first five lines of the following PaddlePaddle program + +```python +x = layer.data("images") +l = layer.data("label") +y = layer.fc(x) +cost = layer.mse(y, l) +optimize(cost) +train(cost, reader=mnist.train()) +``` + +generates, or compiles, a PaddelPaddle program, which is represented by the following protobuf message: + +```protobuf +message ProgramDesc { + repeated BlockDesc blocks = 1; +} + +message BlockDesc { + required int32 parent = 1; + repeated VarDesc vars = 2; + repeated OpDesc ops = 3; +} + +message OpDesc { + AttrDesc attrs = 1; + ... +} + +message AttrDesc { + required AttrType type = 1; + + // index into ProgramDesc::blocks when type==BLOCK + optional int32 block = 2; + ... +} +``` + +When each of the first five lines runs, related Python function, e.g., `layer.fc`, calls C++ InferShape functions. This InferShape function needs to access the properties of VarDesc's accessed by the current OpDesc. These VarDesc's might not be defined in the current block, but in some ancestor blocks. This requires that we can trace the parent of a block. + +A nested block is often an attribute of an operator, most likely, an IfElseOp or a WhileOp. In above solution, all blocks are in `ProgramDesc::blocks`, this implicitly assigns a zero-based ID to each block -- the index of the block in `ProgramDesc::blocks`. So that `AttrDesc::block` could be an integer block ID. + +With this design, the InferShape function should take the following parameters: + +```c++ +void InferShape(int current_block, + int current_operator, + ProgramDesc* program // might change VarDesc values. + ) { + ... +} +``` + +where + +- `current_block` indices into `ProgramDesc::blocks`, +- `current_operator` indices into `BlockDesc::ops`. diff --git a/develop/doc/design/program.html b/develop/doc/design/program.html new file mode 100644 index 0000000000..9921cd14a6 --- /dev/null +++ b/develop/doc/design/program.html @@ -0,0 +1,291 @@ + + + + + + + + + + + Design Doc: ProgramDesc — PaddlePaddle documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+
+ Fork me on Github +
+ + English + + + + +
+ +
+
+ + + + +
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+ +
+ + + + +
+ + + + + + + + + + + +
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    + +
  • Design Doc: ProgramDesc
    • +
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+ +
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+ +
+

Design Doc: ProgramDesc

+

The basic structure of a PaddlePaddle program is some nested blocks, as a C++ or Java program.

+

As described in graph.md, the first five lines of the following PaddlePaddle program

+
x = layer.data("images")
+l = layer.data("label")
+y = layer.fc(x)
+cost = layer.mse(y, l)
+optimize(cost)
+train(cost, reader=mnist.train())
+
+
+

generates, or compiles, a PaddelPaddle program, which is represented by the following protobuf message:

+
message ProgramDesc {
+  repeated BlockDesc blocks = 1;
+}
+
+message BlockDesc {
+  required int32 parent = 1;
+  repeated VarDesc vars = 2;
+  repeated OpDesc ops = 3;
+}
+
+message OpDesc {
+  AttrDesc attrs = 1;
+  ...
+}
+
+message AttrDesc {
+  required AttrType type = 1;
+
+  // index into ProgramDesc::blocks when type==BLOCK
+  optional int32 block = 2;
+  ...
+}
+
+
+

When each of the first five lines runs, related Python function, e.g., layer.fc, calls C++ InferShape functions. This InferShape function needs to access the properties of VarDesc’s accessed by the current OpDesc. These VarDesc’s might not be defined in the current block, but in some ancestor blocks. This requires that we can trace the parent of a block.

+

A nested block is often an attribute of an operator, most likely, an IfElseOp or a WhileOp. In above solution, all blocks are in ProgramDesc::blocks, this implicitly assigns a zero-based ID to each block – the index of the block in ProgramDesc::blocks. So that AttrDesc::block could be an integer block ID.

+

With this design, the InferShape function should take the following parameters:

+
void InferShape(int current_block,
+                int current_operator,
+                ProgramDesc* program // might change VarDesc values.
+                ) {
+  ...
+}
+
+
+

where

+
    +
  • current_block indices into ProgramDesc::blocks,
    • +
  • current_operator indices into BlockDesc::ops.
    • +
+
+ + +
+
+
+ + +
+ +
+

+ © 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/program.md.txt b/develop/doc_cn/_sources/design/program.md.txt new file mode 100644 index 0000000000..fb8f86ac07 --- /dev/null +++ b/develop/doc_cn/_sources/design/program.md.txt @@ -0,0 +1,61 @@ +# Design Doc: ProgramDesc + +The basic structure of a PaddlePaddle program is some nested blocks, as a C++ or Java program. + +As described in [graph.md](./graph.md), the first five lines of the following PaddlePaddle program + +```python +x = layer.data("images") +l = layer.data("label") +y = layer.fc(x) +cost = layer.mse(y, l) +optimize(cost) +train(cost, reader=mnist.train()) +``` + +generates, or compiles, a PaddelPaddle program, which is represented by the following protobuf message: + +```protobuf +message ProgramDesc { + repeated BlockDesc blocks = 1; +} + +message BlockDesc { + required int32 parent = 1; + repeated VarDesc vars = 2; + repeated OpDesc ops = 3; +} + +message OpDesc { + AttrDesc attrs = 1; + ... +} + +message AttrDesc { + required AttrType type = 1; + + // index into ProgramDesc::blocks when type==BLOCK + optional int32 block = 2; + ... +} +``` + +When each of the first five lines runs, related Python function, e.g., `layer.fc`, calls C++ InferShape functions. This InferShape function needs to access the properties of VarDesc's accessed by the current OpDesc. These VarDesc's might not be defined in the current block, but in some ancestor blocks. This requires that we can trace the parent of a block. + +A nested block is often an attribute of an operator, most likely, an IfElseOp or a WhileOp. In above solution, all blocks are in `ProgramDesc::blocks`, this implicitly assigns a zero-based ID to each block -- the index of the block in `ProgramDesc::blocks`. So that `AttrDesc::block` could be an integer block ID. + +With this design, the InferShape function should take the following parameters: + +```c++ +void InferShape(int current_block, + int current_operator, + ProgramDesc* program // might change VarDesc values. + ) { + ... +} +``` + +where + +- `current_block` indices into `ProgramDesc::blocks`, +- `current_operator` indices into `BlockDesc::ops`. diff --git a/develop/doc_cn/design/program.html b/develop/doc_cn/design/program.html new file mode 100644 index 0000000000..aafac5763f --- /dev/null +++ b/develop/doc_cn/design/program.html @@ -0,0 +1,299 @@ + + + + + + + + + + + Design Doc: ProgramDesc — PaddlePaddle 文档 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+
+ Fork me on Github +
+ + English + + + + +
+ +
+
+ + + + +
+
+ + + +
+
+
+
+
+ +
+ + + + +
+ + + + + + + + + + + +
+
    + +
  • Design Doc: ProgramDesc
    • +
+
+ +
+
+
+
+ +
+

Design Doc: ProgramDesc

+

The basic structure of a PaddlePaddle program is some nested blocks, as a C++ or Java program.

+

As described in graph.md, the first five lines of the following PaddlePaddle program

+
x = layer.data("images")
+l = layer.data("label")
+y = layer.fc(x)
+cost = layer.mse(y, l)
+optimize(cost)
+train(cost, reader=mnist.train())
+
+
+

generates, or compiles, a PaddelPaddle program, which is represented by the following protobuf message:

+
message ProgramDesc {
+  repeated BlockDesc blocks = 1;
+}
+
+message BlockDesc {
+  required int32 parent = 1;
+  repeated VarDesc vars = 2;
+  repeated OpDesc ops = 3;
+}
+
+message OpDesc {
+  AttrDesc attrs = 1;
+  ...
+}
+
+message AttrDesc {
+  required AttrType type = 1;
+
+  // index into ProgramDesc::blocks when type==BLOCK
+  optional int32 block = 2;
+  ...
+}
+
+
+

When each of the first five lines runs, related Python function, e.g., layer.fc, calls C++ InferShape functions. This InferShape function needs to access the properties of VarDesc’s accessed by the current OpDesc. These VarDesc’s might not be defined in the current block, but in some ancestor blocks. This requires that we can trace the parent of a block.

+

A nested block is often an attribute of an operator, most likely, an IfElseOp or a WhileOp. In above solution, all blocks are in ProgramDesc::blocks, this implicitly assigns a zero-based ID to each block – the index of the block in ProgramDesc::blocks. So that AttrDesc::block could be an integer block ID.

+

With this design, the InferShape function should take the following parameters:

+
void InferShape(int current_block,
+                int current_operator,
+                ProgramDesc* program // might change VarDesc values.
+                ) {
+  ...
+}
+
+
+

where

+
    +
  • current_block indices into ProgramDesc::blocks,
    • +
  • current_operator indices into BlockDesc::ops.
    • +
+
+ + +
+
+
+ + +
+ +
+

+ © Copyright 2016, PaddlePaddle developers. + +

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