2021-07-02 23:37:40 +01:00
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#+TITLE: How to build a compiler with LLVM and MLIR
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#+SEQ_TODO: TODO(t/!) NEXT(n/!) BLOCKED(b@/!) | DONE(d%) CANCELLED(c@/!) FAILED(f@/!)
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#+TAGS: READER(r) MISC(m)
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2021-09-05 19:40:18 +01:00
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#+STARTUP: logdrawer logdone logreschedule indent content align constSI entitiespretty overview
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2021-07-02 23:37:40 +01:00
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2021-07-03 16:52:57 +01:00
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* DONE Episode 1 - Introduction
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2021-07-02 23:37:40 +01:00
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** What is it all about?
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- Create a programming lang
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- Guide for contributors
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- A LLVM/MLIR guide
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** The Plan
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- Git branches
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- No live coding
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- Feel free to contribute
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** Serene and a bit of history
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- Other Implementations
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- Requirements
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- C++ 14
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- CMake
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- Repository: https://devheroes.codes/Serene
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- Website: lxsameer.com
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Email: lxsameer@gnu.org
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2021-07-10 17:52:53 +01:00
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* DONE Episode 2 - Basic Setup
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CLOSED: [2021-07-10 Sat 09:04]
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2021-07-03 16:52:57 +01:00
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** Installing Requirements
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*** LLVM and Clang
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- mlir-tblgen
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*** ccache (optional)
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** Building Serene and the =builder=
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- git hooks
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** Source tree structure
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** =dev.org= resources and TODOs
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2021-07-19 15:44:39 +01:00
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* DONE Episode 3 - Overview
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CLOSED: [2021-07-19 Mon 09:41]
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2021-07-10 17:52:53 +01:00
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** Generic Compiler
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- [[https://www.cs.princeton.edu/~appel/modern/ml/whichver.html][Modern Compiler Implementation in ML: Basic Techniques]]
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- [[https://suif.stanford.edu/dragonbook/][Compilers: Principles, Techniques, and Tools (The Dragon Book)]]
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*** Common Steps
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2021-07-10 18:43:33 +01:00
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- Frontend
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- Lexical analyzer (Lexer)
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- Syntax analyzer (Parser)
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- Semantic analyzer
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2021-07-12 23:39:29 +01:00
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- Middleend
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2021-07-10 18:43:33 +01:00
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- Intermediate code generation
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- Code optimizer
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- Backend
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- Target code generation
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2021-07-10 17:52:53 +01:00
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** LLVM
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[[llvm.org]]
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*** Watch [[https://www.youtube.com/watch?v=J5xExRGaIIY][Introdution to LLVM]]
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*** Quick overview
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Deducted from https://www.aosabook.org/en/llvm.html
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[[./imgs/llvm_dia.svg]]
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2021-07-10 18:43:33 +01:00
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- It's a set of libraries to create a compiler.
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- Well engineered.
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- we can focus only on the fronted of the compiler and what is
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actually important to us and leave the tricky stuff to LLVM.
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- LLVM IR enables us to use multiple languages together.
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- It supports many targets.
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- We can benefit from already made IR level optimizers.
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- ....
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2021-07-10 17:52:53 +01:00
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** MLIR
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[[mlir.llvm.org]]
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[[./imgs/mlir_dia.svg]]
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2021-07-10 18:43:33 +01:00
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- With MLIR dialects provide higher level semantics than LLVM IR.
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- It's easier to reason about higher level IR that is modeled after
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the AST rather than a low level IR.
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- We can use the pass infrastructure to efficiently process and transform the IR.
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- With many ready to use dialects we can really focus on our language and us the other
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dialect when ever necessary.
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- ...
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2021-07-10 17:52:53 +01:00
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** Serene
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*** A Compiler frontend
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2021-07-10 18:43:33 +01:00
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*** Flow
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2021-07-10 17:52:53 +01:00
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- =serenec= in parses the command lines args
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- =reader= reads the input file and generates an =AST=
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2021-07-10 18:43:33 +01:00
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- =semantic analyzer= walks the =AST= and generates a new =AST= and rewrites
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2021-07-10 17:52:53 +01:00
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the necessary nodes.
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- =slir= generator generates =slir= dialect code from =AST=.
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- We lower =slir= to other dialects of the *MLIR* which we call the result =mlir=.
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- Then, We lower everything to the =LLVMIR dialect= and call it =lir= (lowered IR).
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- Finally we fully lower =lir= to =LLVM IR= and pass it to the object generator
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to generate object files.
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- Call the default =c compiler= to link the object files and generate the machine code.
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2021-07-30 12:17:41 +01:00
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* DONE Episode 4 - The reader
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CLOSED: [2021-07-27 Tue 22:50]
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2021-07-17 16:40:02 +01:00
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** What is a Parser ?
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2021-07-19 15:44:39 +01:00
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To put it simply, Parser converts the source code to an [[https://en.wikipedia.org/wiki/Abstract_syntax_tree][AST]]
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2021-07-17 16:40:02 +01:00
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*** Algorithms
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- LL(k)
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- LR
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- LALR
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- PEG
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- .....
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Read More:
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- https://stereobooster.com/posts/an-overview-of-parsing-algorithms/
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- https://tomassetti.me/guide-parsing-algorithms-terminology/
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*** Libraries
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- https://en.wikipedia.org/wiki/Comparison_of_parser_generators
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*** Our Parser
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- We have a hand written LL(1.5) like parser/lexer since lisp already has a structure.
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2021-07-19 09:38:07 +01:00
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#+BEGIN_SRC lisp
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;; pseudo code
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(def some-fn (fn (x y)
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(+ x y)))
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(defn main ()
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(println "Result: " (some-fn 3 8)))
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#+END_SRC
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2021-07-19 15:44:39 +01:00
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- LL(1.5)?
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2021-07-10 18:43:33 +01:00
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- O(n)
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2021-08-07 17:41:19 +01:00
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* DONE Episode 5 - The Abstract Syntax Tree
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CLOSED: [2021-07-30 Fri 14:01]
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2021-07-30 12:17:41 +01:00
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** What is an AST?
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Ast is a tree representation of the abstract syntactic structure of source code. It's just a tree made of nodes that each node is
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a data structure describing the syntax.
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#+BEGIN_SRC lisp
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;; pseudo code
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(def main (fn () 4))
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(prn (main))
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#+END_SRC
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[[./imgs/ast.svg]]
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** The =Expression= abstract class
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*** Expressions
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- Expressions vs Statements
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- Serene(Lisp) and expressions
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** Node & AST
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2021-08-21 18:46:49 +01:00
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* DONE Episode 6 - The Semantic Analyzer
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CLOSED: [2021-08-21 Sat 18:44]
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2021-08-07 17:41:19 +01:00
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** Qs
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- Why didn't we implement a linked list?
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- Why we are using the =std::vector= instead of llvm collections?
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** What is Semantic Analysis?
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- Semantic Analysis makes sure that the given program is semantically correct.
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- Type checkr works as part of this step as well.
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#+BEGIN_SRC lisp
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;; pseudo code
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(4 main)
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#+END_SRC
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[[./imgs/incorrct_semantic.svg]]
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** Semantic Analysis and rewrites
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We need to reform the AST to reflect the semantics of Serene closly.
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#+BEGIN_SRC lisp
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;; pseudo code
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(def main (fn () 4))
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(prn (main))
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#+END_SRC
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[[./imgs/ast.svg]]
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[[./imgs/semantic.svg]]
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Let's run the compiler to see the semantic analysis in action.
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** Let's check out the code
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2021-09-05 19:40:18 +01:00
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* DONE Episode 7 - The Context and Namespace
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CLOSED: [2021-09-04 Sat 10:53]
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2021-08-21 18:46:49 +01:00
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** Namespaces
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*** Unit of compilation
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*** Usually maps to a file
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*** keeps the state and evironment
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** SereneContext vs LLVM Context vs MLIR Context
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*** Compilers global state
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*** The owner of LLVM/MLIR contexts
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*** Holds the namespace table
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*** Probably will contain the primitive types as well
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2021-09-17 13:49:55 +01:00
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* DONE Episode 8 - MLIR Basics
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CLOSED: [2021-09-17 Fri 10:18]
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2021-09-05 19:40:18 +01:00
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** Serene Changes
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- Introducing a SourceManager
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- Reader changes
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- *serenec* cli interface in changing
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** Disclaimer
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*I'm not an expert in MLIR*
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** Why?
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- A bit of history
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- LLVM IR is to low level
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- We need an IR to implement high level concepts and flows
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*MLIR* is a framework to build a compiler with your own IR. kinda :P
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- Reusability
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- ...
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** Language
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*** Overview
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- SSA Based (https://en.wikipedia.org/wiki/Static_single_assignment_form)
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- Typed
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- Context free(for lack of better words)
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*** Dialects
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- A collection of operations
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- Custom types
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- Meta data
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- We can use a mixture of different dialects
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**** builtin dialects:
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- std
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- llvm
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- math
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- async
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- ...
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*** Opetations
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- Higher level of abstraction
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- Not instructions
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- SSA forms
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- Tablegen backend
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- Verifiers and printers
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*** Attributes
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*** Blocks & Regions
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*** Types
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- Extesible
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** Pass Infrastructure
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Analysis and transformation infrastructure
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- We will implement most of our semantic analysis logic and type checker as passes
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** Pattern Rewriting
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- Tablegen backed
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** Operation Definition Specification
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** Examples
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*Not*: You need =mlir-mode= and =llvm-mode= available to you for the code highlighting of
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the following code blocks. Both of those are distributed with the LLVM.
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*** General syntax
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#+BEGIN_SRC mlir
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%result:2 = "somedialect.blah"(%x#2) { some.attribute = true, other_attribute = 3 }
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: (!somedialect<"example_type">) -> (!somedialect<"foo_s">, i8)
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loc(callsite("main" at "main.srn":10:8))
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#+END_SRC
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*** Blocks and Regions
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#+BEGIN_SRC mlir
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func @simple(i64, i1) -> i64 {
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^bb0(%a: i64, %cond: i1): // Code dominated by ^bb0 may refer to %a
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cond_br %cond, ^bb1, ^bb2
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^bb1:
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br ^bb3(%a: i64) // Branch passes %a as the argument
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^bb2:
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%b = addi %a, %a : i64
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br ^bb3(%b: i64) // Branch passes %b as the argument
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// ^bb3 receives an argument, named %c, from predecessors
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// and passes it on to bb4 along with %a. %a is referenced
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// directly from its defining operation and is not passed through
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// an argument of ^bb3.
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^bb3(%c: i64):
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//br ^bb4(%c, %a : i64, i64)
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"serene.ifop"(%c) ({ // if %a is in-scope in the containing region...
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// then %a is in-scope here too.
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%new_value = "another_op"(%c) : (i64) -> (i64)
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^someblock(%new_value):
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%x = "some_other_op"() {value = 4 : i64} : () -> i64
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}) : (i64) -> (i64)
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^bb4(%d : i64, %e : i64):
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%0 = addi %d, %e : i64
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return %0 : i64 // Return is also a terminator.
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}
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#+END_SRC
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*** SLIR example
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Command line arguments to emir =slir=
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#+BEGIN_SRC sh
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./builder run --build-dir ./build -emit slir `pwd`/docs/examples/hello_world.srn
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#+END_SRC
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Output:
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#+BEGIN_SRC mlir
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module @user {
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%0 = "serene.fn"() ( {
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%2 = "serene.value"() {value = 0 : i64} : () -> i64
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return %2 : i64
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}) {args = {}, name = "main", sym_visibility = "public"} : () -> i64
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%1 = "serene.fn"() ( {
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%2 = "serene.value"() {value = 0 : i64} : () -> i64
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return %2 : i64
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}) {args = {n = i64, v = i64, y = i64}, name = "main1", sym_visibility = "public"} : () -> i64
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}
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#+END_SRC
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*** Serene's MLIR (maybe we need a better name)
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Command line arguments to emir =mlir=
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#+BEGIN_SRC sh
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./builder run --build-dir ./build -emit mlir `pwd`/docs/examples/hello_world.srn
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#+END_SRC
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|
Output:
|
|
|
|
|
#+BEGIN_SRC mlir
|
|
|
|
|
module @user {
|
|
|
|
|
func @main() -> i64 {
|
|
|
|
|
%c3_i64 = constant 3 : i64
|
|
|
|
|
return %c3_i64 : i64
|
|
|
|
|
}
|
|
|
|
|
func @main1(%arg0: i64, %arg1: i64, %arg2: i64) -> i64 {
|
|
|
|
|
%c3_i64 = constant 3 : i64
|
|
|
|
|
return %c3_i64 : i64
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
#+END_SRC
|
|
|
|
|
|
|
|
|
|
*** LIR
|
|
|
|
|
Command line arguments to emir =lir=
|
|
|
|
|
#+BEGIN_SRC sh
|
|
|
|
|
./builder run --build-dir ./build -emit lir `pwd`/docs/examples/hello_world.srn
|
|
|
|
|
#+END_SRC
|
|
|
|
|
|
|
|
|
|
Output:
|
|
|
|
|
#+BEGIN_SRC mlir
|
|
|
|
|
module @user {
|
|
|
|
|
llvm.func @main() -> i64 {
|
|
|
|
|
%0 = llvm.mlir.constant(3 : i64) : i64
|
|
|
|
|
llvm.return %0 : i64
|
|
|
|
|
}
|
|
|
|
|
llvm.func @main1(%arg0: i64, %arg1: i64, %arg2: i64) -> i64 {
|
|
|
|
|
%0 = llvm.mlir.constant(3 : i64) : i64
|
|
|
|
|
llvm.return %0 : i64
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
#+END_SRC
|
|
|
|
|
|
|
|
|
|
*** LLVMIR
|
|
|
|
|
Command line arguments to emir =llvmir=
|
|
|
|
|
#+BEGIN_SRC sh
|
|
|
|
|
./builder run --build-dir ./build -emit ir `pwd`/docs/examples/hello_world.srn
|
|
|
|
|
#+END_SRC
|
|
|
|
|
|
|
|
|
|
Output:
|
|
|
|
|
#+BEGIN_SRC llvm
|
|
|
|
|
target datalayout = "e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-f80:128-n8:16:32:64-S128"
|
|
|
|
|
target triple = "x86_64-unknown-linux-gnu"
|
|
|
|
|
|
|
|
|
|
declare i8* @malloc(i64 %0)
|
|
|
|
|
|
|
|
|
|
declare void @free(i8* %0)
|
|
|
|
|
|
|
|
|
|
define i64 @main() !dbg !3 {
|
|
|
|
|
ret i64 3, !dbg !7
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
define i64 @main1(i64 %0, i64 %1, i64 %2) !dbg !9 {
|
|
|
|
|
ret i64 3, !dbg !10
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
!llvm.dbg.cu = !{!0}
|
|
|
|
|
!llvm.module.flags = !{!2}
|
|
|
|
|
|
|
|
|
|
!0 = distinct !DICompileUnit(language: DW_LANG_C, file: !1, producer: "mlir", isOptimized: true, runtimeVersion: 0, emissionKind: FullDebug)
|
|
|
|
|
!1 = !DIFile(filename: "LLVMDialectModule", directory: "/")
|
|
|
|
|
!2 = !{i32 2, !"Debug Info Version", i32 3}
|
|
|
|
|
!3 = distinct !DISubprogram(name: "main", linkageName: "main", scope: null, file: !4, type: !5, spFlags: DISPFlagDefinition | DISPFlagOptimized, unit: !0, retainedNodes: !6)
|
|
|
|
|
!4 = !DIFile(filename: "REPL", directory: "/home/lxsameer/src/serene/serene/build")
|
|
|
|
|
!5 = !DISubroutineType(types: !6)
|
|
|
|
|
!6 = !{}
|
|
|
|
|
!7 = !DILocation(line: 0, column: 10, scope: !8)
|
|
|
|
|
!8 = !DILexicalBlockFile(scope: !3, file: !4, discriminator: 0)
|
|
|
|
|
!9 = distinct !DISubprogram(name: "main1", linkageName: "main1", scope: null, file: !4, line: 1, type: !5, scopeLine: 1, spFlags: DISPFlagDefinition | DISPFlagOptimized, unit: !0, retainedNodes: !6)
|
|
|
|
|
!10 = !DILocation(line: 1, column: 11, scope: !11)
|
|
|
|
|
!11 = !DILexicalBlockFile(scope: !9, file: !4, discriminator: 0)
|
|
|
|
|
#+END_SRC
|
|
|
|
|
|
|
|
|
|
** Resources
|
|
|
|
|
- [[https://www.youtube.com/watch?v=Y4SvqTtOIDk][2020 LLVM Developers’ Meeting: M. Amini & R. Riddle “MLIR Tutorial”]]
|
|
|
|
|
- [[https://www.youtube.com/watch?v=qzljG6DKgic][2019 EuroLLVM Developers’ Meeting: T. Shpeisman & C. Lattner “MLIR: Multi-Level Intermediate Repr..”]]
|
|
|
|
|
- https://mlir.llvm.org/docs
|
|
|
|
|
- https://mlir.llvm.org/docs/LangRef
|
|
|
|
|
- https://en.wikipedia.org/wiki/Basic_block
|
2021-09-05 15:57:28 +01:00
|
|
|
|
|
2021-10-06 18:48:48 +01:00
|
|
|
|
* DONE Episode 9 - IR (SLIR) generation
|
|
|
|
|
CLOSED: [2021-10-01 Fri 18:56]
|
2021-09-23 19:24:51 +01:00
|
|
|
|
** Updates:
|
|
|
|
|
- Source manager
|
|
|
|
|
- Diagnostic Engine
|
|
|
|
|
- JIT
|
|
|
|
|
|
|
|
|
|
There will be an episode dedicated to eache of these
|
|
|
|
|
** How does IR generation works
|
|
|
|
|
- Pass around MLIR context
|
|
|
|
|
- Create Builder objects that creates operations in specific
|
|
|
|
|
locations
|
|
|
|
|
- ModuleOp
|
|
|
|
|
- Namespace
|
|
|
|
|
** How to define a new dialect
|
|
|
|
|
- Pure C++
|
|
|
|
|
- Tablegen
|
|
|
|
|
** SLIR
|
|
|
|
|
*** The SLIR goal
|
|
|
|
|
- An IR that follows the AST
|
|
|
|
|
- Rename?
|
|
|
|
|
*** Steps
|
|
|
|
|
- [X] Define the new dialect
|
|
|
|
|
- [X] Setup the tablegen
|
|
|
|
|
- [X] Define the operations
|
|
|
|
|
- [X] Walk the AST and generate the operations
|
2021-10-06 18:48:48 +01:00
|
|
|
|
|
|
|
|
|
* Episode 10 - Pass Infrastructure
|
|
|
|
|
** The next Step
|
|
|
|
|
** Updates:
|
|
|
|
|
*** CMake changes
|
|
|
|
|
** What is a Pass
|
|
|
|
|
*** Passes are the unit of abstraction for optimization and transformation in LLVM/MLIR
|
|
|
|
|
*** Compilation is all about transforming the input data and produce an output
|
|
|
|
|
|
|
|
|
|
Source code -> IR X -> IR Y -> IR Z -> ... -> Target Code
|
|
|
|
|
|
|
|
|
|
*** Almost like a function composition
|
|
|
|
|
*** The big picture
|
|
|
|
|
*** Pass Managers (Pipelines) are made out of a collection of passes and can be nested
|
|
|
|
|
*** The most of the interesting parts of the compiler reside in Passes.
|
|
|
|
|
*** We will probably spend most of our time working with passes
|
|
|
|
|
|
|
|
|
|
** Pass Infrastructure
|
|
|
|
|
*** ODS or C++
|
|
|
|
|
*** Operation is the main abstract unit of transformation
|
|
|
|
|
*** OperationPass is the base class for all the passes.
|
|
|
|
|
*** We need to override =runOnOperation=
|
|
|
|
|
*** There's some rules you need to follow when defining your Pass
|
|
|
|
|
**** Must not maintain any global mutable state
|
|
|
|
|
**** Must not modify the state of another operation not nested within the current operation being operated on
|
|
|
|
|
**** ...
|
|
|
|
|
|
|
|
|
|
*** Passes are either OpSpecific or OpAgnostic
|
|
|
|
|
**** OpSpecific
|
|
|
|
|
#+BEGIN_SRC C++
|
|
|
|
|
struct MyFunctionPass : public PassWrapper<MyFunctionPass,
|
|
|
|
|
OperationPass<FuncOp>> {
|
|
|
|
|
void runOnOperation() override {
|
|
|
|
|
// Get the current FuncOp operation being operated on.
|
|
|
|
|
FuncOp f = getOperation();
|
|
|
|
|
|
|
|
|
|
// Walk the operations within the function.
|
|
|
|
|
f.walk([](Operation *inst) {
|
|
|
|
|
// ....
|
|
|
|
|
});
|
|
|
|
|
}
|
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
/// Register this pass so that it can be built via from a textual pass pipeline.
|
|
|
|
|
/// (Pass registration is discussed more below)
|
|
|
|
|
void registerMyPass() {
|
|
|
|
|
PassRegistration<MyFunctionPass>();
|
|
|
|
|
}
|
|
|
|
|
#+END_SRC
|
|
|
|
|
**** OpAgnostic
|
|
|
|
|
#+BEGIN_SRC C++
|
|
|
|
|
struct MyOperationPass : public PassWrapper<MyOperationPass, OperationPass<>> {
|
|
|
|
|
void runOnOperation() override {
|
|
|
|
|
// Get the current operation being operated on.
|
|
|
|
|
Operation *op = getOperation();
|
|
|
|
|
// ...
|
|
|
|
|
}
|
|
|
|
|
};
|
|
|
|
|
#+END_SRC
|
|
|
|
|
*** How transformation works?
|
|
|
|
|
*** Analyses and Passes
|
|
|
|
|
*** Pass management and nested pass managers
|
|
|
|
|
#+BEGIN_SRC C++
|
|
|
|
|
// Create a top-level `PassManager` class. If an operation type is not
|
|
|
|
|
// explicitly specific, the default is the builtin `module` operation.
|
|
|
|
|
PassManager pm(ctx);
|
|
|
|
|
|
|
|
|
|
// Note: We could also create the above `PassManager` this way.
|
|
|
|
|
PassManager pm(ctx, /*operationName=*/"builtin.module");
|
|
|
|
|
|
|
|
|
|
// Add a pass on the top-level module operation.
|
|
|
|
|
pm.addPass(std::make_unique<MyModulePass>());
|
|
|
|
|
|
|
|
|
|
// Nest a pass manager that operates on `spirv.module` operations nested
|
|
|
|
|
// directly under the top-level module.
|
|
|
|
|
OpPassManager &nestedModulePM = pm.nest<spirv::ModuleOp>();
|
|
|
|
|
nestedModulePM.addPass(std::make_unique<MySPIRVModulePass>());
|
|
|
|
|
|
|
|
|
|
// Nest a pass manager that operates on functions within the nested SPIRV
|
|
|
|
|
// module.
|
|
|
|
|
OpPassManager &nestedFunctionPM = nestedModulePM.nest<FuncOp>();
|
|
|
|
|
nestedFunctionPM.addPass(std::make_unique<MyFunctionPass>());
|
|
|
|
|
|
|
|
|
|
// Run the pass manager on the top-level module.
|
|
|
|
|
ModuleOp m = ...;
|
|
|
|
|
if (failed(pm.run(m))) {
|
|
|
|
|
// Handle the failure
|
|
|
|
|
}
|
|
|
|
|
#+END_SRC
|
|
|
|
|
|
|
|
|
|
* Episode 11 - Lowering SLIR
|
|
|
|
|
** Dialect lowering
|
|
|
|
|
*** Why?
|
|
|
|
|
*** Transforming a dialect to another dialect or LLVM IR
|
|
|
|
|
*** The goal is to lower SLIR to LLVM IR directly or indirectly.
|
|
|
|
|
** Dealing with Pass failures
|