diff --git a/develop/doc/_sources/design/program.md.txt b/develop/doc/_sources/design/program.md.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb8f86ac07af403c9fee015f2a3adbfaa3c6d631 --- /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 0000000000000000000000000000000000000000..9921cd14a6b755a6246facbd46f97f2b2489cc08 --- /dev/null +++ b/develop/doc/design/program.html @@ -0,0 +1,291 @@ + + + + + + + + + + + Design Doc: ProgramDesc — PaddlePaddle documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + +
+ + + + + + + + + + + +
+
    + +
  • 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.
  • +
+
+ + +
+
+ + +
+
+ +
+ +
+ + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/develop/doc/objects.inv b/develop/doc/objects.inv index 0a09554aa2a4932e307fc72eaf6f319a7d75ad71..feed6eddbb5b35db5e0b3b5c6bad663921ff596c 100644 Binary files a/develop/doc/objects.inv and b/develop/doc/objects.inv differ diff --git a/develop/doc/searchindex.js b/develop/doc/searchindex.js index c55f83bd8ec877cec2bf2e4db21c50b66762923a..d9d0c07a1f75f59002a01b277d3b819db0fd6a35 100644 --- a/develop/doc/searchindex.js +++ b/develop/doc/searchindex.js @@ -1 +1 @@ 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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 0000000000000000000000000000000000000000..fb8f86ac07af403c9fee015f2a3adbfaa3c6d631 --- /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 0000000000000000000000000000000000000000..aafac5763f031cc7d0aa7251f108f9327f25be98 --- /dev/null +++ b/develop/doc_cn/design/program.html @@ -0,0 +1,299 @@ + + + + + + + + + + + Design Doc: ProgramDesc — PaddlePaddle 文档 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + +
+ + + + + + + + + + + +
+
    + +
  • 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.
  • +
+
+ + +
+
+ + +
+
+ +
+ +
+ + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/develop/doc_cn/objects.inv b/develop/doc_cn/objects.inv index eee46f15a44d975b923c6b16082cf5ef9604ba93..f13de515d8dc545e964fe7633d1ef092ce9c4243 100644 Binary files a/develop/doc_cn/objects.inv and b/develop/doc_cn/objects.inv differ diff --git a/develop/doc_cn/searchindex.js b/develop/doc_cn/searchindex.js index 891dcf00ebde573434ce57e9d25f2c35ae1a71c1..b879bb90248165887f3bf572c62d863d119ad549 100644 --- a/develop/doc_cn/searchindex.js +++ b/develop/doc_cn/searchindex.js @@ -1 +1 @@ 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