| Writing an LLVM Pass | -
Written by Chris Lattner
-
- +
| -Introduction - What is a pass? - |
- -All LLVM passes are subclasses of the Pass class, which -implement functionality by overriding virtual methods inherited from -Pass. Depending on how your pass works, you may be able to inherit -from the FunctionPass -or BasicBlockPass, -which gives the system more information about what your pass does, and how it -can be combined with other passes. One of the main features of the LLVM Pass -Framework is that it schedules passes to run in an efficient way based on the -constraints that your pass has.
- -We start by showing you how to construct a pass, everything from setting up the -code, to compiling, loading, and executing it. After the basics are down, more -advanced features are discussed.
- +
The LLVM Pass Framework is an important part of the LLVM system, because LLVM +passes are where most of the interesting parts of the compiler exist. Passes +perform the transformations and optimizations that make up the compiler, they +build the analysis results that are used by these transformations, and they are, +above all, a structuring technique for compiler code.
+ +All LLVM passes are subclasses of the Pass +class, which implement functionality by overriding virtual methods inherited +from Pass. Depending on how your pass works, you should inherit from +the ModulePass, CallGraphSCCPass, FunctionPass, or LoopPass, or BasicBlockPass classes, which gives the system +more information about what your pass does, and how it can be combined with +other passes. One of the main features of the LLVM Pass Framework is that it +schedules passes to run in an efficient way based on the constraints that your +pass meets (which are indicated by which class they derive from).
+ +We start by showing you how to construct a pass, everything from setting up +the code, to compiling, loading, and executing it. After the basics are down, +more advanced features are discussed.
+ +| -Quick Start - Writing hello world - |
Here we describe how to write the "hello world" of passes. The "Hello" pass +is designed to simply print out the name of non-external functions that exist in +the program being compiled. It does not modify the program at all, it just inspects it. The source code and files for this pass are available in the LLVM -source tree in the lib/Transforms/Hello directory.
+source tree in the lib/Transforms/Hello directory.
+| - -Setting up the build environment - |
- -
+ + ++ +-First, you need to create a new directory somewhere in the LLVM source + base. For this example, we'll assume that you made + lib/Transforms/Hello. Next, you must set up a build script + (Makefile) that will compile the source code for the new pass. To do this, + copy the following into Makefile:
+
+ +-This makefile specifies that all of the .cpp files in the current +# Makefile for hello pass # Path to top level of LLVM heirarchy LEVEL = ../../.. # Name of the library to build -LIBRARYNAME = hello +LIBRARYNAME = Hello + +# Make the shared library become a loadable module so the tools can +# dlopen/dlsym on the resulting library. +LOADABLE_MODULE = 1 -# Build a dynamically loadable shared object -SHARED_LIBRARY = 1 +# Tell the build system which LLVM libraries your pass needs. You'll probably +# need at least LLVMSystem.a, LLVMSupport.a, LLVMCore.a but possibly several +# others too. +LLVMLIBS = LLVMCore.a LLVMSupport.a LLVMSystem.a # Include the makefile implementation stuff include $(LEVEL)/Makefile.common -
+
This makefile specifies that all of the .cpp files in the current directory are to be compiled and linked together into a -lib/Debug/libhello.so shared object that can be dynamically loaded by -the opt or analyze tools.
+Debug/lib/Hello.so shared object that can be dynamically loaded by +the opt or bugpoint tools via their -load options. +If your operating system uses a suffix other than .so (such as windows or +Mac OS/X), the appropriate extension will be used.
-Now that we have the build scripts set up, we just need to write the code for -the pass itself.+
Now that we have the build scripts set up, we just need to write the code for +the pass itself.
+
| - -Basic code required - |
+
-#include "llvm/Pass.h" -#include "llvm/Function.h" -+
Now that we have a way to compile our new pass, we just have to write it. +Start out with:
-Which are needed because we are writing a Pass, and we are -operating on Function's.+
+#include "llvm/Pass.h" +#include "llvm/Function.h" +
+
Which are needed because we are writing a Pass, and +we are operating on Function's.
-+Next we have:
+++using namespace llvm; +... which is required because the functions from the include files +live in the llvm namespace. +
+ +Next we have:
+ +-... which starts out an anonymous namespace. Anonymous namespaces are to C++ +namespace { -+
... which starts out an anonymous namespace. Anonymous namespaces are to C++ what the "static" keyword is to C (at global scope). It makes the things declared inside of the anonymous namespace only visible to the current file. If you're not familiar with them, consult a decent C++ book for more -information.
+information.
-Next, we declare our pass itself:+
Next, we declare our pass itself:
-+struct Hello : public FunctionPass { -+
-This declares a "Hello" class that is a subclass of FunctionPass. +
This declares a "Hello" class that is a subclass of FunctionPass. The different builtin pass subclasses are described in detail later, but for now, know that FunctionPass's -operate a function at a time.
+href="#passtype">later, but for now, know that FunctionPass's operate a function at a +time.
+ ++ static char ID; + Hello() : FunctionPass((intptr_t)&ID) {} +-
- virtual bool runOnFunction(Function &F) { - std::cerr << "Hello: " << F.getName() << "\n"; +This declares pass identifier used by LLVM to identify pass. This allows LLVM to +avoid using expensive C++ runtime information.
+ +-We declare a "runOnFunction" method, which -overloads an abstract virtual method inherited from We declare a "runOnFunction" method, +which overloads an abstract virtual method inherited from FunctionPass. This is where we are supposed to do our thing, so we just print out our message with the name of each -function.+ virtual bool runOnFunction(Function &F) { + llvm::cerr << "Hello: " << F.getName() << "\n"; return false; } }; // end of struct Hello -++function.
+ ++ ++ char Hello::ID = 0; +We initialize pass ID here. LLVM uses ID's address to identify pass so +initialization value is not important.
-- RegisterOpt<Hello> X("hello", "Hello World Pass"); +-Lastly, we register our class Hello, giving it a command line argument -"hello", and a name "Hello World Pass". There are several -different ways of registering your pass, depending -on what it is to be used for. For "optimizations" we use the -RegisterOpt template.+ RegisterPass<Hello> X("hello", "Hello World Pass", + false /* Only looks at CFG */, + false /* Analysis Pass */); } // end of anonymous namespace -+
+
Lastly, we register our class Hello, +giving it a command line +argument "hello", and a name "Hello World Pass". +Last two RegisterPass arguments are optional. Their default value is false. +If a pass walks CFG without modifying it then third argument is set to true. +If a pass is an analysis pass, for example dominator tree pass, then true +is supplied as fourth argument.
-As a whole, the .cpp file looks like:+
As a whole, the .cpp file looks like:
--#include "llvm/Pass.h" -#include "llvm/Function.h" +-Now that it's all together, compile the file with a simple "gmake" ++#include "llvm/Pass.h" +#include "llvm/Function.h" + +using namespace llvm; namespace { struct Hello : public FunctionPass { - virtual bool runOnFunction(Function &F) { - std::cerr << "Hello: " << F.getName() << "\n"; + + static char ID; + Hello() : FunctionPass((intptr_t)&ID) {} + + virtual bool runOnFunction(Function &F) { + llvm::cerr << "Hello: " << F.getName() << "\n"; return false; } }; - RegisterOpt<Hello> X("hello", "Hello World Pass"); + char Hello::ID = 0; + RegisterPass<Hello> X("hello", "Hello World Pass"); } -+
Now that it's all together, compile the file with a simple "gmake" command in the local directory and you should get a new -"lib/Debug/libhello.so file. Note that everything in this file is +"Debug/lib/Hello.so file. Note that everything in this file is contained in an anonymous namespace: this reflects the fact that passes are self contained units that do not need external interfaces (although they can have -them) to be useful.
+them) to be useful.
+
| - -Running a pass with opt or analyze - |
Now that you have a brand new shiny shared object file, we can use the opt command to run an LLVM program through your pass. Because you -registered your pass with the RegisterOpt template, you will be able to -use the opt tool to access it, once loaded.
+registered your pass with the RegisterPass template, you will be able to +use the opt tool to access it, once loaded.
-To test it, follow the example at the end of the To test it, follow the example at the end of the Getting Started Guide to compile "Hello World" to -LLVM. We can now run the bytecode file (hello.bc) for the program -through our transformation like this (or course, any bytecode file will -work):+LLVM. We can now run the bitcode file (hello.bc) for the program +through our transformation like this (or course, any bitcode file will +work):
--$ opt -load ../../../lib/Debug/libhello.so -hello < hello.bc > /dev/null +-The '-load' option specifies that 'opt' should load your pass -as a shared object, which makes '-hello' a valid command line argument -(which is one reason you need to register your ++$ opt -load ../../../Debug/lib/Hello.so -hello < hello.bc > /dev/null Hello: __main Hello: puts Hello: main -+
The '-load' option specifies that 'opt' should load your +pass as a shared object, which makes '-hello' a valid command line +argument (which is one reason you need to register your pass). Because the hello pass does not modify the program in any interesting way, we just throw away the result of opt (sending it to -/dev/null).
+/dev/null).
-To see what happened to the other string you registered, try running -opt with the --help option:+
To see what happened to the other string you registered, try running +opt with the --help option:
--$ opt -load ../../../lib/Debug/libhello.so --help +-The pass name get added as the information string for your pass, giving some ++$ opt -load ../../../Debug/lib/Hello.so --help OVERVIEW: llvm .bc -> .bc modular optimizer -USAGE: opt [options] <input bytecode> +USAGE: opt [options] <input bitcode> OPTIONS: Optimizations available: @@ -301,23 +388,23 @@ OPTIONS: -gcse - Global Common Subexpression Elimination -globaldce - Dead Global Elimination -hello - Hello World Pass - -indvars - Cannonicalize Induction Variables + -indvars - Canonicalize Induction Variables -inline - Function Integration/Inlining -instcombine - Combine redundant instructions ... -+
The pass name get added as the information string for your pass, giving some documentation to users of opt. Now that you have a working pass, you would go ahead and make it do the cool transformations you want. Once you get it all working and tested, it may become useful to find out how fast your pass is. The PassManager provides a nice command line option (--time-passes) that allows you to get information about the execution time of your pass along with the other passes you queue up. For -example:
+example:
--$ opt -load ../../../lib/Debug/libhello.so -hello -time-passes < hello.bc > /dev/null +-As you can see, our implementation above is pretty fast :). The additional ++$ opt -load ../../../Debug/lib/Hello.so -hello -time-passes < hello.bc > /dev/null Hello: __main Hello: puts Hello: main @@ -327,418 +414,793 @@ Hello: main Total Execution Time: 0.02 seconds (0.0479059 wall clock) ---User Time--- --System Time-- --User+System-- ---Wall Time--- --- Pass Name --- - 0.0100 (100.0%) 0.0000 ( 0.0%) 0.0100 ( 50.0%) 0.0402 ( 84.0%) Bytecode Writer + 0.0100 (100.0%) 0.0000 ( 0.0%) 0.0100 ( 50.0%) 0.0402 ( 84.0%) Bitcode Writer 0.0000 ( 0.0%) 0.0100 (100.0%) 0.0100 ( 50.0%) 0.0031 ( 6.4%) Dominator Set Construction 0.0000 ( 0.0%) 0.0000 ( 0.0%) 0.0000 ( 0.0%) 0.0013 ( 2.7%) Module Verifier 0.0000 ( 0.0%) 0.0000 ( 0.0%) 0.0000 ( 0.0%) 0.0033 ( 6.9%) Hello World Pass 0.0100 (100.0%) 0.0100 (100.0%) 0.0200 (100.0%) 0.0479 (100.0%) TOTAL -+
As you can see, our implementation above is pretty fast :). The additional passes listed are automatically inserted by the 'opt' tool to verify that the LLVM emitted by your pass is still valid and well formed LLVM, which -hasn't been broken somehow. - -Now that you have seen the basics of the mechanics behind passes, we can talk -about some more details of how they work and how to use them.
+hasn't been broken somehow.
+Now that you have seen the basics of the mechanics behind passes, we can talk +about some more details of how they work and how to use them.
+
| -Pass classes and requirements - |
One of the first things that you should do when designing a new pass is to decide what class you should subclass for your pass. The Hello World example uses the FunctionPass class for its implementation, but we did not discuss why or when this should occur. Here we talk about the classes -available, from the most general to the most specific.
+available, from the most general to the most specific.
-When choosing a superclass for your Pass, you should choose the most +When choosing a superclass for your Pass, you should choose the most specific class possible, while still being able to meet the requirements -listed. This gives the LLVM Pass Infrastructure information neccesary to +listed. This gives the LLVM Pass Infrastructure information necessary to optimize how passes are run, so that the resultant compiler isn't unneccesarily -slow.
+slow.
+ +The most plain and boring type of pass is the "ImmutablePass" +class. This pass type is used for passes that do not have to be run, do not +change state, and never need to be updated. This is not a normal type of +transformation or analysis, but can provide information about the current +compiler configuration.
+Although this pass class is very infrequently used, it is important for +providing information about the current target machine being compiled for, and +other static information that can affect the various transformations.
+ImmutablePasses never invalidate other transformations, are never +invalidated, and are never "run".
+ +| - -The Pass class - |
The "ModulePass" class is the most general of all superclasses that you can use. Deriving from -Pass indicates that your pass uses the entire program as a unit, +ModulePass indicates that your pass uses the entire program as a unit, refering to function bodies in no predictable order, or adding and removing -functions. Because nothing is known about the behavior of direct Pass -subclasses, no optimization can be done for their execution.
+functions. Because nothing is known about the behavior of ModulePass +subclasses, no optimization can be done for their execution. A module pass +can use function level passes (e.g. dominators) using getAnalysis interface + getAnalysis<DominatorTree>(Function).
+ +To write a correct ModulePass subclass, derive from +ModulePass and overload the runOnModule method with the +following signature:
-To write a correct Pass subclass, derive from Pass and -overload the run method with the following signature:+
+ virtual bool runOnModule(Module &M) = 0; +
The runOnModule method performs the interesting work of the pass. +It should return true if the module was modified by the transformation and +false otherwise.
+- virtual bool run(Module &M) = 0; -
+ +
+ +The "CallGraphSCCPass" +is used by passes that need to traverse the program bottom-up on the call graph +(callees before callers). Deriving from CallGraphSCCPass provides some +mechanics for building and traversing the CallGraph, but also allows the system +to optimize execution of CallGraphSCCPass's. If your pass meets the +requirements outlined below, and doesn't meet the requirements of a FunctionPass or BasicBlockPass, you should derive from +CallGraphSCCPass.
+ +TODO: explain briefly what SCC, Tarjan's algo, and B-U mean.
+ +To be explicit, CallGraphSCCPass subclasses are:
+ ++
Implementing a CallGraphSCCPass is slightly tricky in some cases +because it has to handle SCCs with more than one node in it. All of the virtual +methods described below should return true if they modified the program, or +false if they didn't.
+ ++ virtual bool doInitialization(CallGraph &CG); +
The doIninitialize method is allowed to do most of the things that +CallGraphSCCPass's are not allowed to do. They can add and remove +functions, get pointers to functions, etc. The doInitialization method +is designed to do simple initialization type of stuff that does not depend on +the SCCs being processed. The doInitialization method call is not +scheduled to overlap with any other pass executions (thus it should be very +fast).
+ ++ virtual bool runOnSCC(const std::vector<CallGraphNode *> &SCCM) = 0; +
The runOnSCC method performs the interesting work of the pass, and +should return true if the module was modified by the transformation, false +otherwise.
+ ++ virtual bool doFinalization(CallGraph &CG); +
The doFinalization method is an infrequently used method that is +called when the pass framework has finished calling runOnFunction for every function in the +program being compiled.
+ +| - -The FunctionPass class - |
In contrast to ModulePass subclasses, FunctionPass subclasses do have a predictable, local behavior that can be expected by the system. All FunctionPass execute on each function in the program -independant of all of the other functions in the program. +independent of all of the other functions in the program. FunctionPass's do not require that they are executed in a particular -order, and FunctionPass's do not modify external functions.
+order, and FunctionPass's do not modify external functions.
-To be explicit, FunctionPass subclasses are not allowed to:+
To be explicit, FunctionPass subclasses are not allowed to:
+ runOnFunction (including global data) + -Implementing a FunctionPass is usually straightforward (See the Implementing a FunctionPass is usually straightforward (See the Hello World pass for example). FunctionPass's may overload three virtual methods to do their work. All of these methods -should return true if they modified the program, or false if they didn't.
+should return true if they modified the program, or false if they didn't.
+ ++-The doIninitialize method is allowed to do most of the things that +virtual bool doInitialization(Module &M); -+
The doIninitialize method is allowed to do most of the things that FunctionPass's are not allowed to do. They can add and remove functions, get pointers to functions, etc. The doInitialization method is designed to do simple initialization type of stuff that does not depend on the functions being processed. The doInitialization method call is not scheduled to overlap with any other pass executions (thus it should be very -fast).
+fast).
-A good example of how this method should be used is the LowerAllocations +A good example of how this method should be used is the LowerAllocations pass. This pass converts malloc and free instructions into -platform dependant malloc() and free() function calls. It +platform dependent malloc() and free() function calls. It uses the doInitialization method to get a reference to the malloc and -free functions that it needs, adding prototypes to the module if neccesary.
+free functions that it needs, adding prototypes to the module if necessary.
+ +
++ +-virtual bool runOnFunction(Function &F) = 0; -+
+ +
The runOnFunction method must be implemented by your subclass to do +the transformation or analysis work of your pass. As usual, a true value should +be returned if the function is modified.
-The runOnFunction method must be implemented by your subclass to do the -transformation or analysis work of your pass. As usual, a true value should be -returned if the function is modified.+
The doFinalization(Module &) method
++ ++ + + + +-The doFinalization method is an infrequently used method that is called -when the pass framework has finished calling The doFinalization method is an infrequently used method that is +called when the pass framework has finished calling runOnFunction for every function in the -program being compiled.virtual bool doFinalization(Module &M); - ++program being compiled.
+ ++ ++ + + + +All LoopPass execute on each loop in the function independent of +all of the other loops in the function. LoopPass processes loops in +loop nest order such that outer most loop is processed last.
+ +LoopPass subclasses are allowed to update loop nest using +LPPassManager interface. Implementing a loop pass is usually +straightforward. Looppass's may overload three virtual methods to +do their work. All these methods should return true if they modified the +program, or false if they didn't.
++ ++ + + + + ++ ++ virtual bool doInitialization(Loop *, LPPassManager &LPM); +The doInitialization method is designed to do simple initialization +type of stuff that does not depend on the functions being processed. The +doInitialization method call is not scheduled to overlap with any +other pass executions (thus it should be very fast). LPPassManager +interface should be used to access Function or Module level analysis +information.
+ ++ ++ + + + ++ virtual bool runOnLoop(Loop *, LPPassManager &LPM) = 0; ++ +
The runOnLoop method must be implemented by your subclass to do +the transformation or analysis work of your pass. As usual, a true value should +be returned if the function is modified. LPPassManager interface +should be used to update loop nest.
+ ++ +-+ ++ virtual bool doFinalization(); +The doFinalization method is an infrequently used method that is +called when the pass framework has finished calling runOnLoop for every loop in the +program being compiled.
+ +
| - -The BasicBlockPass class - |
BasicBlockPass's are just like FunctionPass's, except that they must limit their scope of inspection and modification to a single basic block at a time. -As such, they are not allowed to do any of the following:
+As such, they are not allowed to do any of the following:
+ runOnBasicBlock +
BasicBlockPasses are useful for traditional local and "peephole" optimizations. They may override the same doInitialization(Module &) and doFinalization(Module &) methods that FunctionPass's have, but also have the following virtual methods that may also be implemented:
+href="#FunctionPass">FunctionPass
's have, but also have the following virtual methods that may also be implemented: + + -++ +--The doIninitialize method is allowed to do most of the things that +virtual bool doInitialization(Function &F); -+
The doIninitialize method is allowed to do most of the things that BasicBlockPass's are not allowed to do, but that FunctionPass's can. The doInitialization method is designed -to do simple initialization type of stuff that does not depend on the +to do simple initialization that does not depend on the BasicBlocks being processed. The doInitialization method call is not scheduled to overlap with any other pass executions (thus it should be very -fast).
+fast).
+
The runOnBasicBlock method
+-Override this function to do the work of the BasicBlockPass. This +virtual bool runOnBasicBlock(BasicBlock &BB) = 0; -+
Override this function to do the work of the BasicBlockPass. This function is not allowed to inspect or modify basic blocks other than the parameter, and are not allowed to modify the CFG. A true value must be returned -if the basic block is modified.
+if the basic block is modified.
+
+-The doFinalization method is an infrequently used method that is called -when the pass framework has finished calling The doFinalization method is an infrequently used method that is +called when the pass framework has finished calling runOnBasicBlock for every BasicBlock in the program being compiled. This can be used to perform per-function -finalization.virtual bool doFinalization(Function &F); - ++finalization.
+ +
A MachineFunctionPass is a part of the LLVM code generator that +executes on the machine-dependent representation of each LLVM function in the +program. A MachineFunctionPass is also a FunctionPass, so all +the restrictions that apply to a FunctionPass also apply to it. +MachineFunctionPasses also have additional restrictions. In particular, +MachineFunctionPasses are not allowed to do any of the following:
+ ++ virtual bool runOnMachineFunction(MachineFunction &MF) = 0; +
runOnMachineFunction can be considered the main entry point of a +MachineFunctionPass; that is, you should override this method to do the +work of your MachineFunctionPass.
+The runOnMachineFunction method is called on every +MachineFunction in a Module, so that the +MachineFunctionPass may perform optimizations on the machine-dependent +representation of the function. If you want to get at the LLVM Function +for the MachineFunction you're working on, use +MachineFunction's getFunction() accessor method -- but +remember, you may not modify the LLVM Function or its contents from a +MachineFunctionPass.
+| -Pass registration - |
+
+
In the Hello World example pass we illustrated how +pass registration works, and discussed some of the reasons that it is used and +what it does. Here we discuss how and why passes are registered.
-- -
- -
- -
-
- -Regardless of how you register your pass, you must specify at least two +
As we saw above, passes are registered with the RegisterPass +template, which requires you to pass at least two parameters. The first parameter is the name of the pass that is to be used on the command line to specify that the pass should be added to a program (for -example opt or analyze). The second argument is the name of -the pass, which is to be used for the --help output of programs, as -well as for debug output generated by the --debug-pass option.
+example, with opt or bugpoint). The second argument is the +name of the pass, which is to be used for the --help output of +programs, as +well as for debug output generated by the --debug-pass option.
-If you pass is constructed by its default constructor, you only ever have to -pass these two arguments. If, on the other hand, you require other information -(like target specific information), you must pass an additional argument. This -argument is a pointer to a function used to create the pass. For an example of -how this works, look at the LowerAllocations.cpp -file.+
If you want your pass to be easily dumpable, you should +implement the virtual print method:
-If a pass is registered to be used by the analyze utility, you should -implement the virtual print method:+
- virtual void print(std::ostream &O, const Module *M) const; -
+
+ virtual void print(llvm::OStream &O, const Module *M) const; +
+
The print method must be implemented by "analyses" in order to print +a human readable version of the analysis results. This is useful for debugging +an analysis itself, as well as for other people to figure out how an analysis +works. Use the opt -analyze argument to invoke this method.
-The ostream parameter specifies the stream to write the results on, and -the Module parameter gives a pointer to the top level module of the +The llvm::OStream parameter specifies the stream to write the results on, +and the Module parameter gives a pointer to the top level module of the program that has been analyzed. Note however that this pointer may be null in certain circumstances (such as calling the Pass::dump() from a debugger), so it should only be used to enhance debug output, it should not be -depended on.
+depended on.
+| -Specifying interactions between passes - |
One of the main responsibilities of the PassManager is to make sure that passes interact with each other correctly. Because PassManager tries to optimize the execution of passes it must know how the passes interact with each other and what dependencies exist between the various passes. To track this, each pass can declare the set of passes that are required to be executed before the current pass, and the passes which are -invalidated by the current pass.
+invalidated by the current pass.
-Typically this functionality is used to require that analysis results are +Typically this functionality is used to require that analysis results are computed before your pass is run. Running arbitrary transformation passes can invalidate the computed analysis results, which is what the invalidation set specifies. If a pass does not implement the getAnalysisUsage method, it defaults to not -having any prerequisite passes, and invalidating all other passes.
+having any prerequisite passes, and invalidating all other passes.
+++ ++ + + + +-By implementing the getAnalysisUsage method, the required and +virtual void getAnalysisUsage(AnalysisUsage &Info) const; -+
By implementing the getAnalysisUsage method, the required and invalidated sets may be specified for your transformation. The implementation should fill in the AnalysisUsage -object with information about which passes are required and not invalidated. To do this, the following set methods are provided by the AnalysisUsage class:
- -
- // addRequires - Add the specified pass to the required set for your pass. - template<class PassClass> - AnalysisUsage &AnalysisUsage::addRequired(); - - // addPreserved - Add the specified pass to the set of analyses preserved by - // this pass - template<class PassClass> - AnalysisUsage &AnalysisUsage::addPreserved(); - - // setPreservesAll - Call this if the pass does not modify its input at all - void AnalysisUsage::setPreservesAll(); - - // preservesCFG - This function should be called by the pass, iff they do not: - // - // 1. Add or remove basic blocks from the function - // 2. Modify terminator instructions in any way. - // - // This is automatically implied for BasicBlockPass's - // - void AnalysisUsage::preservesCFG(); -- -Some examples of how to use these methods are:
- -
+href="http://llvm.org/doxygen/classllvm_1_1AnalysisUsage.html">AnalysisUsage +object with information about which passes are required and not invalidated. To +do this, a pass may call any of the following methods on the AnalysisUsage +object: +++ + + + ++If your pass requires a previous pass to be executed (an analysis for example), +it can use one of these methods to arrange for it to be run before your pass. +LLVM has many different types of analyses and passes that can be required, +spanning the range from DominatorSet to BreakCriticalEdges. +Requiring BreakCriticalEdges, for example, guarantees that there will +be no critical edges in the CFG when your pass has been run. +
+ ++Some analyses chain to other analyses to do their job. For example, an AliasAnalysis implementation is required to chain to other alias analysis passes. In +cases where analyses chain, the addRequiredTransitive method should be +used instead of the addRequired method. This informs the PassManager +that the transitively required pass should be alive as long as the requiring +pass is. +
+++ + + + ++One of the jobs of the PassManager is to optimize how and when analyses are run. +In particular, it attempts to avoid recomputing data unless it needs to. For +this reason, passes are allowed to declare that they preserve (i.e., they don't +invalidate) an existing analysis if it's available. For example, a simple +constant folding pass would not modify the CFG, so it can't possibly affect the +results of dominator analysis. By default, all passes are assumed to invalidate +all others. +
+ ++The AnalysisUsage class provides several methods which are useful in +certain circumstances that are related to addPreserved. In particular, +the setPreservesAll method can be called to indicate that the pass does +not modify the LLVM program at all (which is true for analyses), and the +setPreservesCFG method can be used by transformations that change +instructions in the program but do not modify the CFG or terminator instructions +(note that this property is implicitly set for BasicBlockPass's). +
+ ++addPreserved is particularly useful for transformations like +BreakCriticalEdges. This pass knows how to update a small set of loop +and dominator related analyses if they exist, so it can preserve them, despite +the fact that it hacks on the CFG. +
++ +--and:// This is an example implementation from an analysis, which does not modify // the program at all, yet has a prerequisite. - void PostDominanceFrontier::getAnalysisUsage(AnalysisUsage &AU) const { + void PostDominanceFrontier::getAnalysisUsage(AnalysisUsage &AU) const { AU.setPreservesAll(); - AU.addRequired<PostDominatorTree>(); + AU.addRequired<PostDominatorTree>(); } -+
+
and:
-+ + +
The getAnalysis<> method
- -
- template<typename PassClass> - AnalysisType &getAnalysis(); -
- -This method call returns a reference to the pass desired. You may get a runtime -assertion failure if you attempt to get an analysis that you did not declare as -required in your getAnalysisUsage -implementation. This method can be called by your run* method -implementation, or by any other local method invoked by your run* -method.
+
+ +The Pass::getAnalysis<> method is automatically inherited by +your class, providing you with access to the passes that you declared that you +required with the getAnalysisUsage +method. It takes a single template argument that specifies which pass class you +want, and returns a reference to that pass. For example:
+ +
+ bool LICM::runOnFunction(Function &F) {
+ LoopInfo &LI = getAnalysis<LoopInfo>();
+ ...
+ }
+This method call returns a reference to the pass desired. You may get a +runtime assertion failure if you attempt to get an analysis that you did not +declare as required in your getAnalysisUsage implementation. This +method can be called by your run* method implementation, or by any +other local method invoked by your run* method. + +A module level pass can use function level analysis info using this interface. +For example:
+ +
+ bool ModuleLevelPass::runOnModule(Module &M) {
+ ...
+ DominatorTree &DT = getAnalysis<DominatorTree>(Func);
+ ...
+ }
+In above example, runOnFunction for DominatorTree is called by pass manager +before returning a reference to the desired pass.
+ ++If your pass is capable of updating analyses if they exist (e.g., +BreakCriticalEdges, as described above), you can use the +getAnalysisToUpdate method, which returns a pointer to the analysis if +it is active. For example:
+ +
+ ...
+ if (DominatorSet *DS = getAnalysisToUpdate<DominatorSet>()) {
+ // A DominatorSet is active. This code will update it.
+ }
+ ...
+| -Implementing Analysis Groups - |
Now that we understand the basics of how passes are defined, how they are +used, and how they are required from other passes, it's time to get a little bit fancier. All of the pass relationships that we have seen so far are very simple: one pass depends on one other specific pass to be run before it can run. For many applications, this is great, for others, more flexibility is -required.
+required.
-In particular, some analyses are defined such that there is a single simple +In particular, some analyses are defined such that there is a single simple interface to the analysis results, but multiple ways of calculating them. Consider alias analysis for example. The most trivial alias analysis returns "may alias" for any alias query. The most sophisticated analysis a @@ -746,124 +1208,156 @@ flow-sensitive, context-sensitive interprocedural analysis that can take a significant amount of time to execute (and obviously, there is a lot of room between these two extremes for other implementations). To cleanly support situations like this, the LLVM Pass Infrastructure supports the notion of -Analysis Groups.
+Analysis Groups.
+ +An Analysis Group is a single simple interface that may be implemented by multiple different passes. Analysis Groups can be given human readable names just like passes, but unlike passes, they need not derive from the Pass class. An analysis group may have one or more implementations, one of which is -the "default" implementation.
+the "default" implementation.
-Analysis groups are used by client passes just like other passes are: the +Analysis groups are used by client passes just like other passes are: the AnalysisUsage::addRequired() and Pass::getAnalysis() methods. In order to resolve this requirement, the PassManager scans the available passes to see if any implementations of the analysis group are available. If none is available, the default implementation is created for the pass to use. All standard rules for interaction -between passes still apply.
+between passes still apply.
-Although Pass Registration is optional for normal +Although Pass Registration is optional for normal passes, all analysis group implementations must be registered, and must use the RegisterAnalysisGroup template to join the implementation pool. Also, a default implementation of the interface must be registered with RegisterAnalysisGroup.
+href="#registerag">RegisterAnalysisGroup.
-As a concrete example of an Analysis Group in action, consider the AliasAnalysis +As a concrete example of an Analysis Group in action, consider the AliasAnalysis analysis group. The default implementation of the alias analysis interface (the basicaa +href="http://llvm.org/doxygen/structBasicAliasAnalysis.html">basicaa pass) just does a few simple checks that don't require significant analysis to compute (such as: two different globals can never alias each other, etc). Passes that use the AliasAnalysis +href="http://llvm.org/doxygen/classllvm_1_1AliasAnalysis.html">AliasAnalysis interface (for example the gcse pass), do not care which implementation -of alias analysis is actually provided, they just use the designated -interface.
+href="http://llvm.org/doxygen/structGCSE.html">gcse pass), do +not care which implementation of alias analysis is actually provided, they just +use the designated interface.
-From the user's perspective, commands work just like normal. Issuing the +From the user's perspective, commands work just like normal. Issuing the command 'opt -gcse ...' will cause the basicaa class to be instantiated and added to the pass sequence. Issuing the command 'opt -somefancyaa -gcse ...' will cause the gcse pass to use the somefancyaa alias analysis (which doesn't actually exist, it's just a -hypothetical example) instead.
+hypothetical example) instead.
+The RegisterAnalysisGroup template is used to register the analysis group itself as well as add pass implementations to the analysis group. First, an analysis should be registered, with a human readable name provided for it. Unlike registration of passes, there is no command line argument to be specified -for the Analysis Group Interface itself, because it is "abstract":
+for the Analysis Group Interface itself, because it is "abstract":
-- static RegisterAnalysisGroup<AliasAnalysis> A("Alias Analysis"); -
+
+ static RegisterAnalysisGroup<AliasAnalysis> A("Alias Analysis"); +
+
Once the analysis is registered, passes can declare that they are valid +implementations of the interface by using the following code:
-+-This just shows a class FancyAA that is registered normally, then uses -the RegisterAnalysisGroup template to "join" the AliasAnalysis +namespace { // Analysis Group implementations must be registered normally... - RegisterOpt<FancyAA> + RegisterPass<FancyAA> B("somefancyaa", "A more complex alias analysis implementation"); // Declare that we implement the AliasAnalysis interface - RegisterAnalysisGroup<AliasAnalysis, FancyAA> C; + RegisterAnalysisGroup<AliasAnalysis> C(B); } -+
This just shows a class FancyAA that is registered normally, then +uses the RegisterAnalysisGroup template to "join" the AliasAnalysis analysis group. Every implementation of an analysis group should join using this template. A single pass may join multiple different analysis groups with -no problem.
+no problem.
-+-Here we show how the default implementation is specified (using the extra +namespace { // Analysis Group implementations must be registered normally... - RegisterOpt<BasicAliasAnalysis> + RegisterPass<BasicAliasAnalysis> D("basicaa", "Basic Alias Analysis (default AA impl)"); // Declare that we implement the AliasAnalysis interface - RegisterAnalysisGroup<AliasAnalysis, BasicAliasAnalysis, true> E; + RegisterAnalysisGroup<AliasAnalysis, true> E(D); } -+
Here we show how the default implementation is specified (using the extra argument to the RegisterAnalysisGroup template). There must be exactly one default implementation available at all times for an Analysis Group to be -used. Here we declare that the BasicAliasAnalysis -pass is the default implementation for the interface.
+used. Only default implementation can derive from ImmutablePass. +Here we declare that the + BasicAliasAnalysis +pass is the default implementation for the interface.
+
| -What PassManager does - |
+
The Statistic +class is designed to be an easy way to expose various success +metrics from passes. These statistics are printed at the end of a +run, when the -stats command line option is enabled on the command +line. See the Statistics section in the Programmer's Manual for details. -The PassManager does two main things to try to reduce the execution -time of a series of passes:
+
The PassManager +class +takes a list of passes, ensures their prerequisites +are set up correctly, and then schedules passes to run efficiently. All of the +LLVM tools that run passes use the PassManager for execution of these +passes.
+ +The PassManager does two main things to try to reduce the execution +time of a series of passes:
+results as soon as they are no longer needed.
+href="#FunctionPass">FunctionPasses on the second function, +etc... until the entire program has been run through the passes. -This improves the cache behavior of the compiler, because it is only touching +
This improves the cache behavior of the compiler, because it is only touching the LLVM program representation for a single function at a time, instead of traversing the entire program. It reduces the memory consumption of compiler, because, for example, only one DominatorSet -needs to be calculated at a time. This also makes it possible some interesting enhancements in the future.
+href="http://llvm.org/doxygen/classllvm_1_1DominatorSet.html">DominatorSet +needs to be calculated at a time. This also makes it possible to implement +some interesting enhancements in the future.
+ -The effectiveness of the PassManager is influenced directly by how much -information it has about the behaviors of the passes it is scheduling. For +
The effectiveness of the PassManager is influenced directly by how +much information it has about the behaviors of the passes it is scheduling. For example, the "preserved" set is intentionally conservative in the face of an unimplemented getAnalysisUsage method. Not implementing when it should be implemented will have the effect of not -allowing any analysis results to live across the execution of your pass.
+allowing any analysis results to live across the execution of your pass.
-The PassManager class exposes a --debug-pass command line +The PassManager class exposes a --debug-pass command line options that is useful for debugging pass execution, seeing how things work, and diagnosing when you should be preserving more analyses than you currently are (To get information about all of the variants of the --debug-pass -option, just type 'opt --help-hidden').
+option, just type 'opt --help-hidden').
-By using the --debug-pass=Structure option, for example, we can see how -our Hello World pass interacts with other passes. Lets -try it out with the gcse and licm passes:+
By using the --debug-pass=Structure option, for example, we can see +how our Hello World pass interacts with other passes. +Lets try it out with the gcse and licm passes:
--$ opt -load ../../../lib/Debug/libhello.so -gcse -licm --debug-pass=Structure < hello.bc > /dev/null ++ ++$ opt -load ../../../Debug/lib/Hello.so -gcse -licm --debug-pass=Structure < hello.bc > /dev/null Module Pass Manager Function Pass Manager Dominator Set Construction @@ -926,29 +1421,29 @@ Module Pass Manager Module Verifier -- Dominator Set Construction -- Module Verifier - Bytecode Writer ---Bytecode Writer -- -This output shows us when passes are constructed and when the analysis results -are known to be dead (prefixed with '--'). Here we see that GCSE uses -dominator and immediate dominator information to do its job. The LICM pass uses -natural loop information, which uses dominator sets, but not immediate + Bitcode Writer +--Bitcode Writer +
This output shows us when passes are constructed and when the analysis +results are known to be dead (prefixed with '--'). Here we see that +GCSE uses dominator and immediate dominator information to do its job. The LICM +pass uses natural loop information, which uses dominator sets, but not immediate dominators. Because immediate dominators are no longer useful after the GCSE pass, it is immediately destroyed. The dominator sets are then reused to -compute natural loop information, which is then used by the LICM pass.
+compute natural loop information, which is then used by the LICM pass.
-After the LICM pass, the module verifier runs (which is automatically added by -the 'opt' tool), which uses the dominator set to check that the +After the LICM pass, the module verifier runs (which is automatically added +by the 'opt' tool), which uses the dominator set to check that the resultant LLVM code is well formed. After it finishes, the dominator set information is destroyed, after being computed once, and shared by three -passes.
+passes.
-Lets see how this changes when we run the Hello World -pass in between the two passes:+
Lets see how this changes when we run the Hello +World pass in between the two passes:
--$ opt -load ../../../lib/Debug/libhello.so -gcse -hello -licm --debug-pass=Structure < hello.bc > /dev/null +-Here we see that the Hello World pass has killed the ++$ opt -load ../../../Debug/lib/Hello.so -gcse -hello -licm --debug-pass=Structure < hello.bc > /dev/null Module Pass Manager Function Pass Manager Dominator Set Construction @@ -967,29 +1462,29 @@ Module Pass Manager Module Verifier -- Dominator Set Construction -- Module Verifier - Bytecode Writer ---Bytecode Writer + Bitcode Writer +--Bitcode Writer Hello: __main Hello: puts Hello: main -+
Here we see that the Hello World pass has killed the Dominator Set pass, even though it doesn't modify the code at all! To fix this, we need to add the following getAnalysisUsage method to our pass:
+href="#getAnalysisUsage">getAnalysisUsage method to our pass:
-+-Now when we run our pass, we get this output:// We don't modify the program, so we preserve all analyses virtual void getAnalysisUsage(AnalysisUsage &AU) const { AU.setPreservesAll(); } -+
+
Now when we run our pass, we get this output:
--$ opt -load ../../../lib/Debug/libhello.so -gcse -hello -licm --debug-pass=Structure < hello.bc > /dev/null +-Which shows that we don't accidentally invalidate dominator information -anymore, and therefore do not have to compute it twice.+$ opt -load ../../../Debug/lib/Hello.so -gcse -hello -licm --debug-pass=Structure < hello.bc > /dev/null Pass Arguments: -gcse -hello -licm Module Pass Manager Function Pass Manager @@ -1007,61 +1502,207 @@ Module Pass Manager Module Verifier -- Dominator Set Construction -- Module Verifier - Bytecode Writer ---Bytecode Writer + Bitcode Writer +--Bitcode Writer Hello: __main Hello: puts Hello: main -+
+
Which shows that we don't accidentally invalidate dominator information +anymore, and therefore do not have to compute it twice.
+
++ ++ + + + + +-The PassManager automatically determines when to compute analysis +virtual void releaseMemory(); -+
The PassManager automatically determines when to compute analysis results, and how long to keep them around for. Because the lifetime of the pass object itself is effectively the entire duration of the compilation process, we need some way to free analysis results when they are no longer useful. The -releaseMemory virtual method is the way to do this.
+releaseMemory virtual method is the way to do this.
-If you are writing an analysis or any other pass that retains a significant +If you are writing an analysis or any other pass that retains a significant amount of state (for use by another pass which "requires" your pass and uses the getAnalysis method) you should implement releaseMEmory to, well, release the memory allocated to maintain this internal state. This method is called after the run* method for the -class, before the next call of run* in your pass.
+class, before the next call of run* in your pass.
+ +++ + + + +Size matters when constructing production quality tools using llvm, +both for the purposes of distribution, and for regulating the resident code size +when running on the target system. Therefore, it becomes desirable to +selectively use some passes, while omitting others and maintain the flexibility +to change configurations later on. You want to be able to do all this, and, +provide feedback to the user. This is where pass registration comes into +play.
+ +The fundamental mechanisms for pass registration are the +MachinePassRegistry class and subclasses of +MachinePassRegistryNode.
+ +An instance of MachinePassRegistry is used to maintain a list of +MachinePassRegistryNode objects. This instance maintains the list and +communicates additions and deletions to the command line interface.
+ +An instance of MachinePassRegistryNode subclass is used to maintain +information provided about a particular pass. This information includes the +command line name, the command help string and the address of the function used +to create an instance of the pass. A global static constructor of one of these +instances registers with a corresponding MachinePassRegistry, +the static destructor unregisters. Thus a pass that is statically linked +in the tool will be registered at start up. A dynamically loaded pass will +register on load and unregister at unload.
+ ++ ++ + + + + +There are predefined registries to track instruction scheduling +(RegisterScheduler) and register allocation (RegisterRegAlloc) +machine passes. Here we will describe how to register a register +allocator machine pass.
+ +Implement your register allocator machine pass. In your register allocator +.cpp file add the following include;
+ ++ ++ #include "llvm/CodeGen/RegAllocRegistry.h" +Also in your register allocator .cpp file, define a creator function in the +form;
+ ++ ++ FunctionPass *createMyRegisterAllocator() { + return new MyRegisterAllocator(); + } +Note that the signature of this function should match the type of +RegisterRegAlloc::FunctionPassCtor. In the same file add the +"installing" declaration, in the form;
+ ++ ++ static RegisterRegAlloc myRegAlloc("myregalloc", + " my register allocator help string", + createMyRegisterAllocator); +Note the two spaces prior to the help string produces a tidy result on the +--help query.
+ ++ ++$ llc --help + ... + -regalloc - Register allocator to use: (default = linearscan) + =linearscan - linear scan register allocator + =local - local register allocator + =simple - simple register allocator + =myregalloc - my register allocator help string + ... +And that's it. The user is now free to use -regalloc=myregalloc as +an option. Registering instruction schedulers is similar except use the +RegisterScheduler class. Note that the +RegisterScheduler::FunctionPassCtor is significantly different from +RegisterRegAlloc::FunctionPassCtor.
+ +To force the load/linking of your register allocator into the llc/lli tools, +add your creator function's global declaration to "Passes.h" and add a "pseudo" +call line to llvm/Codegen/LinkAllCodegenComponents.h.
+ ++ +-The easiest way to get started is to clone one of the existing registries; we +recommend llvm/CodeGen/RegAllocRegistry.h. The key things to modify +are the class name and the FunctionPassCtor type.
+ +Then you need to declare the registry. Example: if your pass registry is +RegisterMyPasses then define;
+ ++ ++MachinePassRegistry RegisterMyPasses::Registry; +And finally, declare the command line option for your passes. Example:
+ ++ ++ cl::opt<RegisterMyPasses::FunctionPassCtor, false, + RegisterPassParser<RegisterMyPasses> > + MyPassOpt("mypass", + cl::init(&createDefaultMyPass), + cl::desc("my pass option help")); +Here the command option is "mypass", with createDefaultMyPass as the default +creator.
+ +
| -Using GDB with dynamically loaded passes - |
Unfortunately, using GDB with dynamically loaded passes is not as easy as it should be. First of all, you can't set a breakpoint in a shared object that has not been loaded yet, and second of all there are problems with inlined functions in shared objects. Here are some suggestions to debugging your pass with -GDB.
+GDB.
-For sake of discussion, I'm going to assume that you are debugging a +For sake of discussion, I'm going to assume that you are debugging a transformation invoked by opt, although nothing described here depends -on that.
+on that.
+ ++
+First thing you do is start gdb on the opt process:
+ +-Note that opt has a lot of debugging information in it, so it takes +$ gdb opt GNU gdb 5.0 Copyright 2000 Free Software Foundation, Inc. @@ -1071,44 +1712,48 @@ Type "show copying" to see the conditions. There is absolutely no warranty for GDB. Type "show warranty" for details. This GDB was configured as "sparc-sun-solaris2.6"... (gdb) -+
Note that opt has a lot of debugging information in it, so it takes time to load. Be patient. Since we cannot set a breakpoint in our pass yet (the shared object isn't loaded until runtime), we must execute the process, and have it stop before it invokes our pass, but after it has loaded the shared object. The most foolproof way of doing this is to set a breakpoint in PassManager::run and then run the process with the arguments you -want:
+want:
--(gdb) break PassManager::run +-Once the opt stops in the PassManager::run method you are now -free to set breakpoints in your pass so that you can trace through execution or -do other standard debugging stuff.+(gdb) break llvm::PassManager::run Breakpoint 1 at 0x2413bc: file Pass.cpp, line 70. -(gdb) run test.bc -load /shared/lattner/cvs/llvm/lib/Debug/[libname].so -[passoption] -Starting program: /shared/lattner/cvs/llvm/tools/Debug/opt test.bc - -load /shared/lattner/cvs/llvm/lib/Debug/[libname].so -[passoption] +(gdb) run test.bc -load $(LLVMTOP)/llvm/Debug/lib/[libname].so -[passoption] +Starting program: opt test.bc -load $(LLVMTOP)/llvm/Debug/lib/[libname].so -[passoption] Breakpoint 1, PassManager::run (this=0xffbef174, M=@0x70b298) at Pass.cpp:70 70 bool PassManager::run(Module &M) { return PM->run(M); } (gdb) -++
Once the opt stops in the PassManager::run method you are +now free to set breakpoints in your pass so that you can trace through execution +or do other standard debugging stuff.
+
+
Once you have the basics down, there are a couple of problems that GDB has, +some with solutions, some without.
+from the body of a class to a .cpp file).
+execution stops in PassManager::run.
+
Hopefully these tips will help with common case debugging situations. If +you'd like to contribute some tips of your own, just contact Chris.
+| -Future extensions planned - |
Although the LLVM Pass Infrastructure is very capable as it stands, and does some nifty stuff, there are things we'd like to add in the future. Here is -where we are going:
+where we are going:
+ +Multiple CPU machines are becoming more common and compilation can never be fast enough: obviously we should allow for a multithreaded compiler. Because of the semantics defined for passes above (specifically they cannot maintain state across invocations of their run* methods), a nice clean way to implement a multithreaded compiler would be for the PassManager class -to create multiple instances of each pass object, and allow the seperate -instances to be hacking on different parts of the program at the same time.
+to create multiple instances of each pass object, and allow the separate +instances to be hacking on different parts of the program at the same time.
-This implementation would prevent each of the passes from having to implement +This implementation would prevent each of the passes from having to implement multithreaded constructs, requiring only the LLVM core to have locking in a few places (for global resources). Although this is a simple extension, we simply haven't had time (or multiprocessor machines, thus a reason) to implement this. -Despite that, we have kept the LLVM passes SMP ready, and you should too.
- - - -
- -To solve this problem, eventually the PassManger class will accept a -ModuleSource object instead of a Module itself. When complete, this -will also allow for streaming of functions out of the bytecode representation, -allowing us to avoid holding the entire program in memory at once if we only are -dealing with FunctionPass's.
- -As part of a different issue, eventually the bytecode loader will be extended to -allow on-demand loading of functions from the bytecode representation, in order -to better support the runtime reoptimizer. The bytecode format is already -capable of this, the loader just needs to be reworked a bit.
- - - -
- -Note that it is no problem for a FunctionPass to require the results of a Pass, only the other way around.
+Despite that, we have kept the LLVM passes SMP ready, and you should too.
+
+