[IR2Vec] Scale embeddings once in vocab analysis instead of repetitive scaling#143986
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[IR2Vec] Scale embeddings once in vocab analysis instead of repetitive scaling#143986
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This was referenced Jun 12, 2025
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@llvm/pr-subscribers-mlgo @llvm/pr-subscribers-llvm-analysis Author: S. VenkataKeerthy (svkeerthy) ChangesChanges to scale opcodes, types and args once in (Tracking issue - #141817 ; partly fixes - #141832) Patch is 149.98 KiB, truncated to 20.00 KiB below, full version: https://github.com/llvm/llvm-project/pull/143986.diff 16 Files Affected:
diff --git a/llvm/include/llvm/Analysis/IR2Vec.h b/llvm/include/llvm/Analysis/IR2Vec.h
index de67955d85d7c..f1aaf4cd2e013 100644
--- a/llvm/include/llvm/Analysis/IR2Vec.h
+++ b/llvm/include/llvm/Analysis/IR2Vec.h
@@ -108,6 +108,7 @@ struct Embedding {
/// Arithmetic operators
Embedding &operator+=(const Embedding &RHS);
Embedding &operator-=(const Embedding &RHS);
+ Embedding &operator*=(double Factor);
/// Adds Src Embedding scaled by Factor with the called Embedding.
/// Called_Embedding += Src * Factor
@@ -116,6 +117,8 @@ struct Embedding {
/// Returns true if the embedding is approximately equal to the RHS embedding
/// within the specified tolerance.
bool approximatelyEquals(const Embedding &RHS, double Tolerance = 1e-6) const;
+
+ void print(raw_ostream &OS) const;
};
using InstEmbeddingsMap = DenseMap<const Instruction *, Embedding>;
@@ -234,6 +237,8 @@ class IR2VecVocabResult {
class IR2VecVocabAnalysis : public AnalysisInfoMixin<IR2VecVocabAnalysis> {
ir2vec::Vocab Vocabulary;
Error readVocabulary();
+ Error parseVocabSection(const char *Key, const json::Value ParsedVocabValue,
+ ir2vec::Vocab &TargetVocab, unsigned &Dim);
void emitError(Error Err, LLVMContext &Ctx);
public:
@@ -249,7 +254,6 @@ class IR2VecVocabAnalysis : public AnalysisInfoMixin<IR2VecVocabAnalysis> {
/// functions.
class IR2VecPrinterPass : public PassInfoMixin<IR2VecPrinterPass> {
raw_ostream &OS;
- void printVector(const ir2vec::Embedding &Vec) const;
public:
explicit IR2VecPrinterPass(raw_ostream &OS) : OS(OS) {}
@@ -257,6 +261,16 @@ class IR2VecPrinterPass : public PassInfoMixin<IR2VecPrinterPass> {
static bool isRequired() { return true; }
};
+/// This pass prints the embeddings in the vocabulary
+class IR2VecVocabPrinterPass : public PassInfoMixin<IR2VecVocabPrinterPass> {
+ raw_ostream &OS;
+
+public:
+ explicit IR2VecVocabPrinterPass(raw_ostream &OS) : OS(OS) {}
+ PreservedAnalyses run(Module &M, ModuleAnalysisManager &MAM);
+ static bool isRequired() { return true; }
+};
+
} // namespace llvm
#endif // LLVM_ANALYSIS_IR2VEC_H
diff --git a/llvm/lib/Analysis/IR2Vec.cpp b/llvm/lib/Analysis/IR2Vec.cpp
index fa38c35796a0e..f51d3252d6606 100644
--- a/llvm/lib/Analysis/IR2Vec.cpp
+++ b/llvm/lib/Analysis/IR2Vec.cpp
@@ -85,6 +85,12 @@ Embedding &Embedding::operator-=(const Embedding &RHS) {
return *this;
}
+Embedding &Embedding::operator*=(double Factor) {
+ std::transform(this->begin(), this->end(), this->begin(),
+ [Factor](double Elem) { return Elem * Factor; });
+ return *this;
+}
+
Embedding &Embedding::scaleAndAdd(const Embedding &Src, float Factor) {
assert(this->size() == Src.size() && "Vectors must have the same dimension");
for (size_t Itr = 0; Itr < this->size(); ++Itr)
@@ -101,6 +107,13 @@ bool Embedding::approximatelyEquals(const Embedding &RHS,
return true;
}
+void Embedding::print(raw_ostream &OS) const {
+ OS << " [";
+ for (const auto &Elem : Data)
+ OS << " " << format("%.2f", Elem) << " ";
+ OS << "]\n";
+}
+
// ==----------------------------------------------------------------------===//
// Embedder and its subclasses
//===----------------------------------------------------------------------===//
@@ -196,18 +209,12 @@ void SymbolicEmbedder::computeEmbeddings(const BasicBlock &BB) const {
for (const auto &I : BB.instructionsWithoutDebug()) {
Embedding InstVector(Dimension, 0);
- const auto OpcVec = lookupVocab(I.getOpcodeName());
- InstVector.scaleAndAdd(OpcVec, OpcWeight);
-
// FIXME: Currently lookups are string based. Use numeric Keys
// for efficiency.
- const auto Type = I.getType();
- const auto TypeVec = getTypeEmbedding(Type);
- InstVector.scaleAndAdd(TypeVec, TypeWeight);
-
+ InstVector += lookupVocab(I.getOpcodeName());
+ InstVector += getTypeEmbedding(I.getType());
for (const auto &Op : I.operands()) {
- const auto OperandVec = getOperandEmbedding(Op.get());
- InstVector.scaleAndAdd(OperandVec, ArgWeight);
+ InstVector += getOperandEmbedding(Op.get());
}
InstVecMap[&I] = InstVector;
BBVector += InstVector;
@@ -251,6 +258,47 @@ bool IR2VecVocabResult::invalidate(
return !(PAC.preservedWhenStateless());
}
+Error IR2VecVocabAnalysis::parseVocabSection(const char *Key,
+ const json::Value ParsedVocabValue,
+ ir2vec::Vocab &TargetVocab,
+ unsigned &Dim) {
+ assert(Key && "Key cannot be null");
+
+ json::Path::Root Path("");
+ const json::Object *RootObj = ParsedVocabValue.getAsObject();
+ if (!RootObj) {
+ return createStringError(errc::invalid_argument,
+ "JSON root is not an object");
+ }
+
+ const json::Value *SectionValue = RootObj->get(Key);
+ if (!SectionValue)
+ return createStringError(errc::invalid_argument,
+ "Missing '" + std::string(Key) +
+ "' section in vocabulary file");
+ if (!json::fromJSON(*SectionValue, TargetVocab, Path))
+ return createStringError(errc::illegal_byte_sequence,
+ "Unable to parse '" + std::string(Key) +
+ "' section from vocabulary");
+
+ Dim = TargetVocab.begin()->second.size();
+ if (Dim == 0)
+ return createStringError(errc::illegal_byte_sequence,
+ "Dimension of '" + std::string(Key) +
+ "' section of the vocabulary is zero");
+
+ if (!std::all_of(TargetVocab.begin(), TargetVocab.end(),
+ [Dim](const std::pair<StringRef, Embedding> &Entry) {
+ return Entry.second.size() == Dim;
+ }))
+ return createStringError(
+ errc::illegal_byte_sequence,
+ "All vectors in the '" + std::string(Key) +
+ "' section of the vocabulary are not of the same dimension");
+
+ return Error::success();
+};
+
// FIXME: Make this optional. We can avoid file reads
// by auto-generating a default vocabulary during the build time.
Error IR2VecVocabAnalysis::readVocabulary() {
@@ -259,32 +307,40 @@ Error IR2VecVocabAnalysis::readVocabulary() {
return createFileError(VocabFile, BufOrError.getError());
auto Content = BufOrError.get()->getBuffer();
- json::Path::Root Path("");
+
Expected<json::Value> ParsedVocabValue = json::parse(Content);
if (!ParsedVocabValue)
return ParsedVocabValue.takeError();
- bool Res = json::fromJSON(*ParsedVocabValue, Vocabulary, Path);
- if (!Res)
- return createStringError(errc::illegal_byte_sequence,
- "Unable to parse the vocabulary");
+ ir2vec::Vocab OpcodeVocab, TypeVocab, ArgVocab;
+ unsigned OpcodeDim, TypeDim, ArgDim;
+ if (auto Err = parseVocabSection("Opcodes", *ParsedVocabValue, OpcodeVocab,
+ OpcodeDim))
+ return Err;
- if (Vocabulary.empty())
- return createStringError(errc::illegal_byte_sequence,
- "Vocabulary is empty");
+ if (auto Err =
+ parseVocabSection("Types", *ParsedVocabValue, TypeVocab, TypeDim))
+ return Err;
- unsigned Dim = Vocabulary.begin()->second.size();
- if (Dim == 0)
+ if (auto Err =
+ parseVocabSection("Arguments", *ParsedVocabValue, ArgVocab, ArgDim))
+ return Err;
+
+ if (!(OpcodeDim == TypeDim && TypeDim == ArgDim))
return createStringError(errc::illegal_byte_sequence,
- "Dimension of vocabulary is zero");
+ "Vocabulary sections have different dimensions");
- if (!std::all_of(Vocabulary.begin(), Vocabulary.end(),
- [Dim](const std::pair<StringRef, Embedding> &Entry) {
- return Entry.second.size() == Dim;
- }))
- return createStringError(
- errc::illegal_byte_sequence,
- "All vectors in the vocabulary are not of the same dimension");
+ auto scaleVocabSection = [](ir2vec::Vocab &Vocab, double Weight) {
+ for (auto &Entry : Vocab)
+ Entry.second *= Weight;
+ };
+ scaleVocabSection(OpcodeVocab, OpcWeight);
+ scaleVocabSection(TypeVocab, TypeWeight);
+ scaleVocabSection(ArgVocab, ArgWeight);
+
+ Vocabulary.insert(OpcodeVocab.begin(), OpcodeVocab.end());
+ Vocabulary.insert(TypeVocab.begin(), TypeVocab.end());
+ Vocabulary.insert(ArgVocab.begin(), ArgVocab.end());
return Error::success();
}
@@ -304,7 +360,7 @@ void IR2VecVocabAnalysis::emitError(Error Err, LLVMContext &Ctx) {
IR2VecVocabAnalysis::Result
IR2VecVocabAnalysis::run(Module &M, ModuleAnalysisManager &AM) {
auto Ctx = &M.getContext();
- // FIXME: Scale the vocabulary once. This would avoid scaling per use later.
+
// If vocabulary is already populated by the constructor, use it.
if (!Vocabulary.empty())
return IR2VecVocabResult(std::move(Vocabulary));
@@ -323,16 +379,9 @@ IR2VecVocabAnalysis::run(Module &M, ModuleAnalysisManager &AM) {
}
// ==----------------------------------------------------------------------===//
-// IR2VecPrinterPass
+// Printer Passes
//===----------------------------------------------------------------------===//
-void IR2VecPrinterPass::printVector(const Embedding &Vec) const {
- OS << " [";
- for (const auto &Elem : Vec)
- OS << " " << format("%.2f", Elem) << " ";
- OS << "]\n";
-}
-
PreservedAnalyses IR2VecPrinterPass::run(Module &M,
ModuleAnalysisManager &MAM) {
auto IR2VecVocabResult = MAM.getResult<IR2VecVocabAnalysis>(M);
@@ -353,7 +402,7 @@ PreservedAnalyses IR2VecPrinterPass::run(Module &M,
OS << "IR2Vec embeddings for function " << F.getName() << ":\n";
OS << "Function vector: ";
- printVector(Emb->getFunctionVector());
+ Emb->getFunctionVector().print(OS);
OS << "Basic block vectors:\n";
const auto &BBMap = Emb->getBBVecMap();
@@ -361,7 +410,7 @@ PreservedAnalyses IR2VecPrinterPass::run(Module &M,
auto It = BBMap.find(&BB);
if (It != BBMap.end()) {
OS << "Basic block: " << BB.getName() << ":\n";
- printVector(It->second);
+ It->second.print(OS);
}
}
@@ -373,10 +422,24 @@ PreservedAnalyses IR2VecPrinterPass::run(Module &M,
if (It != InstMap.end()) {
OS << "Instruction: ";
I.print(OS);
- printVector(It->second);
+ It->second.print(OS);
}
}
}
}
return PreservedAnalyses::all();
}
+
+PreservedAnalyses IR2VecVocabPrinterPass::run(Module &M,
+ ModuleAnalysisManager &MAM) {
+ auto IR2VecVocabResult = MAM.getResult<IR2VecVocabAnalysis>(M);
+ assert(IR2VecVocabResult.isValid() && "IR2Vec Vocabulary is invalid");
+
+ auto Vocab = IR2VecVocabResult.getVocabulary();
+ for (const auto &Entry : Vocab) {
+ OS << "Key: " << Entry.first << ": ";
+ Entry.second.print(OS);
+ }
+
+ return PreservedAnalyses::all();
+}
\ No newline at end of file
diff --git a/llvm/lib/Analysis/models/seedEmbeddingVocab75D.json b/llvm/lib/Analysis/models/seedEmbeddingVocab75D.json
index 65ca240deba13..a0d539afd5294 100644
--- a/llvm/lib/Analysis/models/seedEmbeddingVocab75D.json
+++ b/llvm/lib/Analysis/models/seedEmbeddingVocab75D.json
@@ -1,65 +1,72 @@
{
-"add":[0.09571152, 0.08334279, 0.07070262, 0.14084256, 0.04825167, -0.12893851, -0.12180215, -0.07194936, -0.05329844, -0.28276998, 0.00202254, 0.07488817, -0.16139749, 0.07618549, -0.06084673, 0.10536429, -0.03031596, 0.16402271, 0.22730531, -0.0015432, 0.01986631, -0.15808797, 0.03030382, -0.04201249, 0.01689876, -0.30041003, -0.06479812, 0.1282431, -0.09032831, 0.14007935, -0.23540203, 0.00552223, 0.15325953, 0.13147154, -0.15204638, 0.1616615, 0.05758473, -0.1385157, 0.16438901, -0.14482859, 0.07895052, 0.18407233, 0.15283448, -0.00081216, -0.17934133, -0.16779658, 0.09044863, -0.18453072, -0.00552684, 0.01191218, 0.18504514, 0.13140059, -0.0174882, -0.18127315, 0.02269725, -0.02048657, 0.10858727, 0.0074029, 0.09485064, -0.13431476, 0.07491371, -0.17498694, -0.32914585, -0.14159656, -0.03594542, 0.04091231, 0.00298631, -0.08933277, -0.07178984, 0.04144038, 0.12151367, -0.09504163, 0.13691336, 0.07825345, 0.13958281],
-"alloca":[0.12644756, -0.20912014, 0.07298578, 0.13963142, 0.03932726, -0.12778169, -0.13084207, -0.09090705, -0.01497083, 0.0646746, 0.14847252, 0.08546949, -0.11579383, 0.07812478, -0.16431178, 0.08578802, 0.06094746, -0.1239017, -0.02789196, -0.01074964, -0.1738938, -0.1629063, -0.07137732, -0.02845656, 0.1728318, 0.13779363, -0.06250989, 0.03479109, -0.08423121, 0.14009888, 0.09620709, -0.02287545, -0.04616966, -0.19591278, -0.19636007, 0.21825573, 0.07949521, -0.14614704, 0.17752613, -0.15099092, -0.04518029, 0.17774306, 0.18947133, -0.00197501, -0.12619424, -0.18458585, -0.09960615, 0.01162648, 0.21306573, 0.0468024, 0.201505, 0.09970672, 0.06599383, 0.17757463, -0.11899275, 0.10299123, 0.06038174, -0.07116731, -0.15743989, -0.1258558, 0.1535076, 0.01872367, -0.14336765, -0.19708565, -0.26796287, 0.02628843, -0.0009325, -0.08809827, -0.12970725, 0.17223337, -0.10651242, -0.09162157, 0.03264611, 0.0911452, 0.09506542],
-"and":[-0.12902537, 0.07848564, 0.07048505, 0.13578993, 0.03570583, -0.1242408, -0.12619697, -0.06914084, -0.0515872, 0.13225996, 0.01673339, 0.0763608, 0.18325369, 0.07690141, -0.09591792, 0.10353354, -0.02401061, 0.16493416, 0.21942355, -0.00400911, 0.03811587, -0.15406959, -0.07134877, -0.02946596, -0.03854588, 0.28656727, -0.06625008, 0.12780443, -0.04631379, 0.13919763, -0.15808977, -0.00312698, 0.14692454, 0.18495218, -0.14863448, 0.13449706, 0.06471325, -0.13883992, 0.17630532, -0.16833898, 0.07391811, 0.17909151, 0.18229873, -0.00381102, -0.17680968, -0.1645554, 0.10016466, -0.07963493, 0.00130218, 0.05646244, 0.18222143, 0.10511146, -0.0191175, -0.08713559, 0.25423968, -0.02557301, 0.04319789, 0.03259414, 0.07209402, -0.13169754, 0.07424775, -0.17216511, -0.32057068, -0.13833733, -0.0658454, 0.02420194, -0.04393166, -0.08238692, -0.07023077, 0.04014502, 0.20101993, -0.09093616, 0.13076238, 0.09114857, -0.06483845],
-"ashr":[0.16414718, -0.02078147, 0.07353837, 0.14210321, 0.08068018, -0.13586298, -0.15728961, -0.10365791, 0.00359197, 0.04608767, 0.35770142, 0.08003625, 0.00944533, 0.08471741, 0.05809571, 0.09202059, -0.18349345, 0.22169511, 0.24418135, 0.19192688, -0.1956347, -0.17401719, -0.07583863, -0.02781139, 0.0952112, -0.01444751, -0.27259794, 0.14392436, -0.13541143, 0.1410963, 0.04314299, -0.01641751, -0.05448177, -0.22287542, -0.2131822, 0.25112826, 0.06918604, -0.14414005, 0.060288, -0.09658266, -0.09122665, -0.02779044, 0.20349248, 0.0041391, 0.10610974, -0.20890503, -0.09881835, -0.07368057, 0.22467837, 0.00075097, 0.2147348, -0.02612463, -0.01696278, -0.0649786, 0.15041149, 0.02361087, 0.0211603, -0.03706622, 0.18296233, -0.14298625, 0.14614436, 0.02273145, 0.0209446, -0.21062987, 0.16911499, -0.03668665, 0.00197532, -0.09607943, -0.08398084, 0.02006913, 0.05739584, -0.07919859, 0.19634944, 0.11082727, -0.06584227],
-"bitcast":[0.1675692, -0.12870269, 0.04048132, -0.1670965, -0.1279611, 0.02615386, -0.16829294, -0.09034907, 0.10913523, -0.07819421, 0.23986322, -0.05966561, 0.08410738, 0.19072439, 0.06047394, 0.02999627, -0.16747619, -0.06076627, -0.02673951, -0.1619169, 0.06443421, -0.13788716, -0.05644303, 0.01361013, -0.06858975, -0.06005004, 0.10011288, -0.05508338, -0.10613093, -0.11281271, -0.00758647, -0.12425531, 0.05333719, -0.16881412, -0.20088236, 0.06015657, -0.16405901, 0.06226884, 0.09171099, -0.09500738, 0.07907875, 0.0776544, -0.18457057, -0.11278627, -0.12111131, -0.10180638, 0.18328871, 0.18770072, 0.20346186, 0.10305139, -0.18344335, 0.10693213, -0.10920919, -0.05994263, 0.20354497, -0.03093485, 0.14214055, 0.00580597, 0.10480052, -0.09955201, -0.134185, -0.02904563, 0.00175069, 0.17646657, 0.01348841, -0.02030338, -0.06537742, 0.10032237, 0.15315783, 0.0102667, 0.07717734, -0.01060431, 0.14727928, -0.16261302, -0.06770234],
-"br":[0.11499645, 0.0824301, 0.07218035, 0.13258332, -0.13419574, -0.12916718, -0.12626709, -0.06741403, -0.02857593, -0.2543893, 0.02193022, 0.0760875, -0.1562702, 0.07712954, 0.3149361, 0.10217083, -0.041038, 0.16601022, 0.01906607, -0.02043359, 0.05471838, -0.15233372, -0.06945753, -0.02313732, -0.07342829, 0.3331809, -0.05246306, -0.0269839, -0.05435036, 0.13908924, 0.32604694, 0.00170966, 0.14997493, 0.13026518, -0.14908995, 0.12238151, -0.06773318, -0.13566032, 0.16068587, -0.12842499, 0.04970508, 0.17827724, 0.09729939, -0.00447832, -0.1739753, -0.16429187, 0.09886666, -0.08058207, 0.00714044, 0.04585538, 0.13424252, 0.11376464, -0.01675582, 0.17901348, -0.00653374, -0.01570439, 0.13032894, 0.01734108, 0.16833901, -0.1173776, 0.07662185, -0.15942436, -0.21173944, -0.10505079, 0.0597497, 0.03491669, 0.00338842, -0.04969047, -0.07644061, 0.04528612, 0.254365, -0.09514527, 0.12015092, 0.08262096, -0.02352029],
-"call":[0.10815012, -0.12419116, 0.18759736, -0.1905027, 0.01619313, -0.13483052, -0.12278763, -0.07051246, -0.0083437, 0.25107145, -0.16601063, 0.08127163, -0.17432374, -0.18380919, 0.24335551, 0.07208319, -0.04401246, 0.11606008, -0.02733191, 0.02098145, 0.019888, -0.13705409, -0.07569158, -0.03072285, 0.16870692, -0.09787013, -0.09340432, 0.01931342, -0.03557841, 0.14359893, -0.1592094, -0.00055867, 0.159316, 0.1099042, -0.11837319, 0.08741318, 0.03364393, -0.12831019, 0.10450637, -0.12699029, -0.20213994, 0.18390144, 0.11092624, -0.00209971, -0.13063665, 0.19996215, 0.09006448, -0.07840014, 0.22549215, 0.02587176, 0.13374338, 0.11009877, -0.01874998, -0.21446206, 0.02377797, -0.01036531, 0.05427047, 0.01418843, 0.00771817, -0.12639529, -0.10334941, -0.12244401, 0.30014148, -0.09857437, 0.21212636, 0.03429029, -0.04947309, 0.1023307, -0.07743628, 0.03006962, -0.24868701, -0.02357339, 0.11574048, 0.06895301, -0.363474],
-"constant":[-0.2850312, -0.22839, 0.12669143, -0.0674703, -0.12639391, -0.00477266, 0.04786542, 0.06336267, 0.08660185, 0.12805316, -0.07146342, 0.21539183, -0.0624397, -0.02638953, -0.28688517, 0.28374302, 0.05338082, 0.05559688, -0.13133128, 0.12440272, -0.03583231, 0.29848817, 0.13930812, 0.15453401, 0.0538353, -0.06874479, 0.00262802, 0.27964258, 0.19028014, -0.16371843, -0.05762961, 0.20059372, -0.20804578, -0.06549844, 0.09732475, -0.01551855, 0.21226783, 0.05889762, -0.07560658, 0.11312829, -0.04594622, -0.27309528, -0.05293005, 0.18953343, 0.05463868, -0.31045213, -0.04364616, 0.11005993, 0.12489324, -0.05413342, -0.05814561, -0.26131225, -0.18863814, 0.31165487, -0.08796364, -0.19958755, -0.10849535, 0.14899114, -0.01385941, 0.29359573, -0.01349372, 0.0562498, 0.10977754, 0.08993197, 0.06231657, -0.13509868, -0.20968516, 0.03578237, 0.15356435, -0.17766887, -0.11509016, 0.06898113, -0.06665445, -0.14065051, 0.34711906],
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[truncated]
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@albertcohen - Please have a look. I am not able to add you as reviewer.
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Changes to scale opcodes, types and args once in
IR2VecVocabAnalysisso that we can avoid scaling each time while computing embeddings. This PR refactors the vocabulary to explicitly define 3 sections---Opcodes, Types, and Arguments---used for computing Embeddings.(Tracking issue - #141817 ; partly fixes - #141832)