Add TritonCombineOps
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141
lib/Dialect/Triton/Transforms/Combine.cpp
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141
lib/Dialect/Triton/Transforms/Combine.cpp
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#include "mlir/IR/BuiltinAttributes.h"
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#include "mlir/IR/Matchers.h"
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#include "mlir/IR/PatternMatch.h"
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#include "mlir/Pass/Pass.h"
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#include "mlir/Support/LogicalResult.h"
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#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
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#include "triton/Dialect/Triton/IR/Dialect.h"
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#include "triton/Dialect/Triton/Transforms/Passes.h"
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#include <memory>
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// using namespace mlir;
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namespace {
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// dot(a, b, 0) + c => dot(a, b, c)
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class CombineDotOp : public mlir::RewritePattern {
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public:
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CombineDotOp(mlir::MLIRContext *context)
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: mlir::RewritePattern(mlir::RewritePattern::MatchAnyOpTypeTag(), 1, context) {}
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mlir::LogicalResult matchAndRewrite(mlir::Operation *op,
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mlir::PatternRewriter &rewriter) const override {
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if (llvm::isa<mlir::arith::AddIOp, mlir::arith::AddFOp>(op)) {
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if (isCandidate(op->getOperand(0)).succeeded()) {
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auto dotOp = op->getOperand(0).getDefiningOp<mlir::triton::DotOp>();
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rewriter.replaceOpWithNewOp<mlir::triton::DotOp>(
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op, dotOp->getResultTypes().front(), dotOp.a(),
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dotOp.b(), op->getOperand(1), dotOp.allowTF32());
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return mlir::success();
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} else if (isCandidate(op->getOperand(1)).succeeded()) {
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auto dotOp = op->getOperand(1).getDefiningOp<mlir::triton::DotOp>();
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rewriter.replaceOpWithNewOp<mlir::triton::DotOp>(
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op, dotOp->getResultTypes().front(), dotOp.a(),
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dotOp.b(), op->getOperand(0), dotOp.allowTF32());
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return mlir::success();
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}
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}
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return mlir::failure();
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}
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private:
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// Is this value a dot and has 0 as `c`.
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mlir::LogicalResult isCandidate(mlir::Value val) const {
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if (auto dot = val.getDefiningOp<mlir::triton::DotOp>()) {
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if (isZero(dot.c()))
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return mlir::success();
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}
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return mlir::failure();
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}
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bool isZero(mlir::Value val) const {
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if (mlir::matchPattern(val, mlir::m_Zero()) ||
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mlir::matchPattern(val, mlir::m_AnyZeroFloat()))
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return true;
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// broadcast(constant_0)
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if (auto bc = val.getDefiningOp<mlir::triton::BroadcastOp>()) {
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if (mlir::matchPattern(bc.src(), mlir::m_Zero()) ||
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mlir::matchPattern(bc.src(), mlir::m_AnyZeroFloat()))
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return true;
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}
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return false;
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}
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};
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// gep(gep(%ptr, %idx0), %idx1) => gep(%ptr, AddI(%idx0, %idx1))
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// Note: leave (sub %c0, %c0) canceling to ArithmeticDialect
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// (ref: ArithmeticCanonicalization.td)
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class CombineGEPOp : public mlir::RewritePattern {
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public:
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CombineGEPOp(mlir::MLIRContext *context)
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: mlir::RewritePattern(mlir::RewritePattern::MatchAnyOpTypeTag(), 1, context) {}
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mlir::LogicalResult matchAndRewrite(mlir::Operation *op,
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mlir::PatternRewriter &rewriter) const override {
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if (llvm::isa<mlir::triton::GEPOp>(op)) {
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if (auto gep2 = op->getOperand(0).getDefiningOp<mlir::triton::GEPOp>()) {
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auto loc = op->getLoc();
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mlir::Value newIdx = rewriter.create<mlir::arith::AddIOp>(
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loc, op->getOperand(1), gep2->getOperand(1));
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rewriter.replaceOpWithNewOp<mlir::triton::GEPOp>(
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op, op->getResultTypes().front(), gep2->getOperand(0), newIdx
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);
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return mlir::success();
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}
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}
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return mlir::failure();
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}
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};
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// select(cond, load(ptrs, broadcast(cond), ???), other)
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// => load(ptrs, broadcast(cond), other)
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class CombineSelectMaskedLoadOp : public mlir::RewritePattern {
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public:
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CombineSelectMaskedLoadOp(mlir::MLIRContext *context)
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: mlir::RewritePattern(mlir::RewritePattern::MatchAnyOpTypeTag(), 1, context) {}
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mlir::LogicalResult matchAndRewrite(mlir::Operation *op,
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mlir::PatternRewriter &rewriter) const override {
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if (llvm::isa<mlir::SelectOp>(op)) {
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if (auto load = op->getOperand(1).getDefiningOp<mlir::triton::LoadOp>()) {
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mlir::Value cond = op->getOperand(0);
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if (auto bc = load.mask().getDefiningOp<mlir::triton::BroadcastOp>()) {
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if (bc.src().getDefiningOp() == cond.getDefiningOp()) {
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rewriter.replaceOpWithNewOp<mlir::triton::LoadOp>(
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op, op->getResultTypes().front(),
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load.ptr(), load.mask(), op->getOperand(2),
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load.cache(), load.evict(), load.isVolatile()
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);
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return mlir::success();
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}
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}
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}
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}
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return mlir::failure();
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}
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};
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} // anonymous namespace
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#define GEN_PASS_CLASSES
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#include "triton/Dialect/Triton/Transforms/Passes.h.inc"
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class CombineOpsPass : public TritonCombineOpsBase<CombineOpsPass> {
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public:
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void runOnOperation() override {
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mlir::MLIRContext *context = &getContext();
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mlir::RewritePatternSet patterns(context);
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mlir::ModuleOp m = getOperation();
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patterns.add<CombineDotOp>(context);
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patterns.add<CombineSelectMaskedLoadOp>(context);
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patterns.add<CombineGEPOp>(context);
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// patterns.add<CombineReduceOp>(context);
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if (applyPatternsAndFoldGreedily(m, std::move(patterns)).failed())
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signalPassFailure();
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}
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};
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std::unique_ptr<mlir::Pass> mlir::triton::createCombineOpsPass() {
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return std::make_unique<CombineOpsPass>();
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}
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