//===- llvm-ir2vec.cpp - IR2Vec/MIR2Vec Embedding Generation Tool --------===// // // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. // See https://llvm.org/LICENSE.txt for license information. // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception // //===----------------------------------------------------------------------===// /// /// \file /// This file implements the IR2Vec and MIR2Vec embedding generation tool. /// /// This tool supports two modes: /// - LLVM IR mode (-mode=llvm): Process LLVM IR /// - Machine IR mode (-mode=mir): Process Machine IR /// /// Available subcommands: /// /// 1. Triplet Generation (triplets): /// Generates numeric triplets (head, tail, relation) for vocabulary /// training. Output format: MAX_RELATION=N header followed by /// head\ttail\trelation lines. Relations: 0=Type, 1=Next, 2+=Arg0,Arg1,... /// /// For LLVM IR: /// llvm-ir2vec triplets input.bc -o train2id.txt /// /// For Machine IR: /// llvm-ir2vec triplets -mode=mir input.mir -o train2id.txt /// /// 2. Entity Mappings (entities): /// Generates entity mappings for vocabulary training. /// Output format: header followed by entity\tid lines. /// /// For LLVM IR: /// llvm-ir2vec entities input.bc -o entity2id.txt /// /// For Machine IR: /// llvm-ir2vec entities -mode=mir input.mir -o entity2id.txt /// /// 3. Embedding Generation (embeddings): /// Generates IR2Vec/MIR2Vec embeddings using a trained vocabulary. /// /// For LLVM IR: /// llvm-ir2vec embeddings --ir2vec-vocab-path=vocab.json /// --ir2vec-kind= --level= input.bc -o embeddings.txt /// Kind: --ir2vec-kind=symbolic (default), --ir2vec-kind=flow-aware /// /// For Machine IR: /// llvm-ir2vec embeddings -mode=mir --mir2vec-vocab-path=vocab.json /// --level= input.mir -o embeddings.txt /// /// Levels: --level=inst (instructions), --level=bb (basic blocks), /// --level=func (functions) (See IR2Vec.cpp/MIR2Vec.cpp for more embedding /// generation options) /// //===----------------------------------------------------------------------===// #include "lib/Utils.h" #include "llvm/ADT/ArrayRef.h" #include "llvm/Analysis/IR2Vec.h" #include "llvm/CodeGen/CommandFlags.h" #include "llvm/CodeGen/MIR2Vec.h" #include "llvm/CodeGen/MIRParser/MIRParser.h" #include "llvm/CodeGen/MachineFunction.h" #include "llvm/CodeGen/MachineModuleInfo.h" #include "llvm/CodeGen/TargetInstrInfo.h" #include "llvm/CodeGen/TargetRegisterInfo.h" #include "llvm/IR/BasicBlock.h" #include "llvm/IR/Function.h" #include "llvm/IR/InstIterator.h" #include "llvm/IR/Instructions.h" #include "llvm/IR/LLVMContext.h" #include "llvm/IR/Module.h" #include "llvm/IR/PassInstrumentation.h" #include "llvm/IR/PassManager.h" #include "llvm/IR/Type.h" #include "llvm/IRReader/IRReader.h" #include "llvm/MC/TargetRegistry.h" #include "llvm/Support/CommandLine.h" #include "llvm/Support/Debug.h" #include "llvm/Support/Errc.h" #include "llvm/Support/InitLLVM.h" #include "llvm/Support/SourceMgr.h" #include "llvm/Support/TargetSelect.h" #include "llvm/Support/WithColor.h" #include "llvm/Support/raw_ostream.h" #include "llvm/Target/TargetMachine.h" #include "llvm/TargetParser/Host.h" #define DEBUG_TYPE "ir2vec" namespace llvm { // Common option category for options shared between IR2Vec and MIR2Vec static cl::OptionCategory CommonCategory("Common Options", "Options applicable to both IR2Vec " "and MIR2Vec modes"); enum IRKind { LLVMIR = 0, ///< LLVM IR MIR ///< Machine IR }; static cl::opt IRMode("mode", cl::desc("Tool operation mode:"), cl::values(clEnumValN(LLVMIR, "llvm", "Process LLVM IR"), clEnumValN(MIR, "mir", "Process Machine IR")), cl::init(LLVMIR), cl::cat(CommonCategory)); // Subcommands static cl::SubCommand TripletsSubCmd("triplets", "Generate triplets for vocabulary training"); static cl::SubCommand EntitiesSubCmd("entities", "Generate entity mappings for vocabulary training"); static cl::SubCommand EmbeddingsSubCmd("embeddings", "Generate embeddings using trained vocabulary"); // Common options static cl::opt InputFilename( cl::Positional, cl::desc(""), cl::init("-"), cl::sub(TripletsSubCmd), cl::sub(EntitiesSubCmd), cl::sub(EmbeddingsSubCmd), cl::cat(CommonCategory)); static cl::opt OutputFilename("o", cl::desc("Output filename"), cl::value_desc("filename"), cl::init("-"), cl::cat(CommonCategory)); // Embedding-specific options static cl::opt FunctionName("function", cl::desc("Process specific function only"), cl::value_desc("name"), cl::Optional, cl::init(""), cl::sub(EmbeddingsSubCmd), cl::cat(CommonCategory)); static cl::opt Level("level", cl::desc("Embedding generation level:"), cl::values(clEnumValN(InstructionLevel, "inst", "Generate instruction-level embeddings"), clEnumValN(BasicBlockLevel, "bb", "Generate basic block-level embeddings"), clEnumValN(FunctionLevel, "func", "Generate function-level embeddings")), cl::init(FunctionLevel), cl::sub(EmbeddingsSubCmd), cl::cat(CommonCategory)); namespace ir2vec { /// Process the module and generate output based on selected subcommand static Error processModule(Module &M, raw_ostream &OS) { IR2VecTool Tool(M); if (EmbeddingsSubCmd) { // Initialize vocabulary for embedding generation // Note: Requires --ir2vec-vocab-path option to be set // and this value will be populated in the var VocabFile if (VocabFile.empty()) { return createStringError( errc::invalid_argument, "IR2Vec vocabulary file path not specified; " "You may need to set it using --ir2vec-vocab-path"); } if (Error Err = Tool.initializeVocabulary(VocabFile)) return Err; if (!FunctionName.empty()) { // Process single function if (const Function *F = M.getFunction(FunctionName)) Tool.writeEmbeddingsToStream(*F, OS, Level); else return createStringError(errc::invalid_argument, "Function '%s' not found", FunctionName.c_str()); } else { // Process all functions Tool.writeEmbeddingsToStream(OS, Level); } } else { // Both triplets and entities use triplet generation Tool.writeTripletsToStream(OS); } return Error::success(); } } // namespace ir2vec namespace mir2vec { /// Setup MIR context from input file static Error setupMIRContext(const std::string &InputFile, MIRContext &Ctx) { SMDiagnostic Err; auto MIR = createMIRParserFromFile(InputFile, Err, Ctx.Context); if (!MIR) { Err.print(ToolName, errs()); return createStringError(errc::invalid_argument, "Failed to parse MIR file"); } auto SetDataLayout = [&](StringRef DataLayoutTargetTriple, StringRef OldDLStr) -> std::optional { std::string IRTargetTriple = DataLayoutTargetTriple.str(); Triple TheTriple = Triple(IRTargetTriple); if (TheTriple.getTriple().empty()) TheTriple.setTriple(sys::getDefaultTargetTriple()); auto TMOrErr = codegen::createTargetMachineForTriple(TheTriple.str()); if (!TMOrErr) { Err.print(ToolName, errs()); exit(1); // Match original behavior } Ctx.TM = std::move(*TMOrErr); return Ctx.TM->createDataLayout().getStringRepresentation(); }; Ctx.M = MIR->parseIRModule(SetDataLayout); if (!Ctx.M) { Err.print(ToolName, errs()); return createStringError(errc::invalid_argument, "Failed to parse IR module"); } Ctx.MMI = std::make_unique(Ctx.TM.get()); if (!Ctx.MMI || MIR->parseMachineFunctions(*Ctx.M, *Ctx.MMI)) { Err.print(ToolName, errs()); return createStringError(errc::invalid_argument, "Failed to parse machine functions"); } return Error::success(); } /// Generic vocabulary initialization and processing template static Error processWithVocabulary(MIRContext &Ctx, raw_ostream &OS, bool useLayoutVocab, ProcessFunc processFn) { MIR2VecTool Tool(*Ctx.MMI); // Initialize appropriate vocabulary type bool success = useLayoutVocab ? Tool.initializeVocabularyForLayout(*Ctx.M) : Tool.initializeVocabulary(*Ctx.M); if (!success) { WithColor::error(errs(), ToolName) << "Failed to initialize MIR2Vec vocabulary" << (useLayoutVocab ? " for layout" : "") << ".\n"; return createStringError(errc::invalid_argument, "Vocabulary initialization failed"); } assert(Tool.getVocabulary() && "MIR2Vec vocabulary should be initialized at this point"); LLVM_DEBUG(dbgs() << "MIR2Vec vocabulary loaded successfully.\n" << "Vocabulary dimension: " << Tool.getVocabulary()->getDimension() << "\n" << "Vocabulary size: " << Tool.getVocabulary()->getCanonicalSize() << "\n"); // Execute the specific processing logic return processFn(Tool); } /// Process module for triplet generation static Error processModuleForTriplets(MIRContext &Ctx, raw_ostream &OS) { return processWithVocabulary(Ctx, OS, /*useLayoutVocab=*/true, [&](MIR2VecTool &Tool) -> Error { Tool.writeTripletsToStream(*Ctx.M, OS); return Error::success(); }); } /// Process module for entity generation static Error processModuleForEntities(MIRContext &Ctx, raw_ostream &OS) { return processWithVocabulary(Ctx, OS, /*useLayoutVocab=*/true, [&](MIR2VecTool &Tool) -> Error { Tool.writeEntitiesToStream(OS); return Error::success(); }); } /// Process module for embedding generation static Error processModuleForEmbeddings(MIRContext &Ctx, raw_ostream &OS) { return processWithVocabulary( Ctx, OS, /*useLayoutVocab=*/false, [&](MIR2VecTool &Tool) -> Error { if (!FunctionName.empty()) { // Process single function Function *F = Ctx.M->getFunction(FunctionName); if (!F) { WithColor::error(errs(), ToolName) << "Function '" << FunctionName << "' not found\n"; return createStringError(errc::invalid_argument, "Function not found"); } MachineFunction *MF = Ctx.MMI->getMachineFunction(*F); if (!MF) { WithColor::error(errs(), ToolName) << "No MachineFunction for " << FunctionName << "\n"; return createStringError(errc::invalid_argument, "No MachineFunction"); } Tool.writeEmbeddingsToStream(*MF, OS, Level); } else { // Process all functions Tool.writeEmbeddingsToStream(*Ctx.M, OS, Level); } return Error::success(); }); } /// Main entry point for MIR processing static Error processModule(const std::string &InputFile, raw_ostream &OS) { MIRContext Ctx; // Setup MIR context (parse file, setup target machine, etc.) if (auto Err = setupMIRContext(InputFile, Ctx)) return Err; // Process based on subcommand if (TripletsSubCmd) return processModuleForTriplets(Ctx, OS); else if (EntitiesSubCmd) return processModuleForEntities(Ctx, OS); else if (EmbeddingsSubCmd) return processModuleForEmbeddings(Ctx, OS); else { WithColor::error(errs(), ToolName) << "Please specify a subcommand: triplets, entities, or embeddings\n"; return createStringError(errc::invalid_argument, "No subcommand specified"); } } } // namespace mir2vec } // namespace llvm int main(int argc, char **argv) { using namespace llvm; using namespace llvm::ir2vec; using namespace llvm::mir2vec; InitLLVM X(argc, argv); // Show Common, IR2Vec and MIR2Vec option categories cl::HideUnrelatedOptions(ArrayRef{ &CommonCategory, &ir2vec::IR2VecCategory, &mir2vec::MIR2VecCategory}); cl::ParseCommandLineOptions( argc, argv, "IR2Vec/MIR2Vec - Embedding Generation Tool\n" "Generates embeddings for a given LLVM IR or MIR and " "supports triplet generation for vocabulary " "training and embedding generation.\n\n" "See https://llvm.org/docs/CommandGuide/llvm-ir2vec.html for more " "information.\n"); std::error_code EC; raw_fd_ostream OS(OutputFilename, EC); if (EC) { WithColor::error(errs(), ToolName) << "opening output file: " << EC.message() << "\n"; return 1; } if (IRMode == IRKind::LLVMIR) { if (EntitiesSubCmd) { // Just dump entity mappings without processing any IR IR2VecTool::writeEntitiesToStream(OS); return 0; } // Parse the input LLVM IR file or stdin SMDiagnostic Err; LLVMContext Context; std::unique_ptr M = parseIRFile(InputFilename, Err, Context); if (!M) { Err.print(ToolName, errs()); return 1; } if (Error Err = processModule(*M, OS)) { handleAllErrors(std::move(Err), [&](const ErrorInfoBase &EIB) { WithColor::error(errs(), ToolName) << EIB.message() << "\n"; }); return 1; } return 0; } if (IRMode == IRKind::MIR) { // Initialize targets for Machine IR processing InitializeAllTargets(); InitializeAllTargetMCs(); InitializeAllAsmParsers(); InitializeAllAsmPrinters(); static codegen::RegisterCodeGenFlags CGF; if (Error Err = mir2vec::processModule(InputFilename, OS)) { handleAllErrors(std::move(Err), [&](const ErrorInfoBase &EIB) { WithColor::error(errs(), ToolName) << EIB.message() << "\n"; }); return 1; } return 0; } return 0; }