forked from OSchip/llvm-project
[mlir][linalg] Add loop interchange to CodegenStrategy.
Add a loop interchange pass and integrate it with CodegenStrategy. This patch depends on https://reviews.llvm.org/D110728 and https://reviews.llvm.org/D110746. Reviewed By: nicolasvasilache Differential Revision: https://reviews.llvm.org/D110748
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@ -101,6 +101,12 @@ createLinalgStrategyGeneralizePass(StringRef opName = "",
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linalg::LinalgTransformationFilter filter =
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linalg::LinalgTransformationFilter());
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/// Create a LinalgStrategyInterchangePass.
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std::unique_ptr<OperationPass<FuncOp>>
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createLinalgStrategyInterchangePass(ArrayRef<int64_t> iteratorInterchange = {},
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linalg::LinalgTransformationFilter filter =
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linalg::LinalgTransformationFilter());
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/// Create a LinalgStrategyVectorizePass.
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std::unique_ptr<OperationPass<FuncOp>>
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createLinalgStrategyVectorizePass(StringRef opName = "",
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@ -268,6 +268,17 @@ def LinalgStrategyGeneralizePass
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];
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}
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def LinalgStrategyInterchangePass
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: FunctionPass<"linalg-strategy-interchange-pass"> {
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let summary = "Configurable pass to apply pattern-based iterator interchange.";
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let constructor = "mlir::createLinalgStrategyInterchangePass()";
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let dependentDialects = ["linalg::LinalgDialect"];
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let options = [
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Option<"anchorFuncName", "anchor-func", "std::string", /*default=*/"",
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"Which func op is the anchor to latch on.">,
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];
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}
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def LinalgStrategyVectorizePass
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: FunctionPass<"linalg-strategy-vectorize-pass"> {
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let summary = "Configurable pass to apply pattern-based linalg vectorization.";
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@ -77,6 +77,22 @@ private:
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std::string opName;
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};
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/// Represent one application of createLinalgStrategyInterchangePass.
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struct Interchange : public Transformation {
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explicit Interchange(ArrayRef<int64_t> iteratorInterchange,
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LinalgTransformationFilter::FilterFunction f = nullptr)
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: Transformation(f), iteratorInterchange(iteratorInterchange.begin(),
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iteratorInterchange.end()) {}
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void addToPassPipeline(OpPassManager &pm,
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LinalgTransformationFilter m) const override {
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pm.addPass(createLinalgStrategyInterchangePass(iteratorInterchange, m));
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}
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private:
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SmallVector<int64_t> iteratorInterchange;
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};
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/// Represent one application of createLinalgStrategyVectorizePass.
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struct Vectorize : public Transformation {
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explicit Vectorize(linalg::LinalgVectorizationOptions options,
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@ -147,6 +163,21 @@ struct CodegenStrategy {
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return b ? generalize(opName, f) : *this;
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return *this;
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}
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/// Append a pattern to interchange iterators.
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CodegenStrategy &
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interchange(ArrayRef<int64_t> iteratorInterchange,
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LinalgTransformationFilter::FilterFunction f = nullptr) {
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transformationSequence.emplace_back(
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std::make_unique<Interchange>(iteratorInterchange, f));
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return *this;
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}
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/// Conditionally append a pattern to interchange iterators.
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CodegenStrategy &
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interchangeIf(bool b, ArrayRef<int64_t> iteratorInterchange,
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LinalgTransformationFilter::FilterFunction f = nullptr) {
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return b ? interchange(iteratorInterchange, f) : *this;
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return *this;
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}
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/// Append a pattern to rewrite `LinalgOpType` as a vector operation.
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CodegenStrategy &
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vectorize(StringRef opName,
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@ -101,6 +101,37 @@ struct LinalgStrategyGeneralizePass
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LinalgTransformationFilter filter;
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};
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/// Configurable pass to apply pattern-based linalg generalization.
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struct LinalgStrategyInterchangePass
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: public LinalgStrategyInterchangePassBase<LinalgStrategyInterchangePass> {
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LinalgStrategyInterchangePass() = default;
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LinalgStrategyInterchangePass(ArrayRef<int64_t> iteratorInterchange,
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LinalgTransformationFilter filter)
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: iteratorInterchange(iteratorInterchange.begin(),
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iteratorInterchange.end()),
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filter(filter) {}
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void runOnFunction() override {
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auto funcOp = getFunction();
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if (!anchorFuncName.empty() && funcOp.getName() != anchorFuncName)
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return;
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SmallVector<unsigned> interchangeVector(iteratorInterchange.begin(),
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iteratorInterchange.end());
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RewritePatternSet interchangePattern(funcOp.getContext());
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interchangePattern.add<GenericOpInterchangePattern>(
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funcOp.getContext(), interchangeVector, filter);
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if (failed(applyPatternsAndFoldGreedily(funcOp,
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std::move(interchangePattern))))
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signalPassFailure();
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}
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SmallVector<int64_t> iteratorInterchange;
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LinalgTransformationFilter filter;
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};
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/// Configurable pass to apply pattern-based linalg promotion.
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struct LinalgStrategyPromotePass
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: public LinalgStrategyPromotePassBase<LinalgStrategyPromotePass> {
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@ -273,6 +304,14 @@ mlir::createLinalgStrategyGeneralizePass(StringRef opName,
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return std::make_unique<LinalgStrategyGeneralizePass>(opName, filter);
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}
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/// Create a LinalgStrategyInterchangePass.
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std::unique_ptr<OperationPass<FuncOp>>
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mlir::createLinalgStrategyInterchangePass(ArrayRef<int64_t> iteratorInterchange,
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LinalgTransformationFilter filter) {
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return std::make_unique<LinalgStrategyInterchangePass>(iteratorInterchange,
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filter);
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}
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/// Create a LinalgStrategyVectorizePass.
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std::unique_ptr<OperationPass<FuncOp>>
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mlir::createLinalgStrategyVectorizePass(StringRef opName,
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@ -4,7 +4,7 @@
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// RUN: mlir-opt %s -test-linalg-codegen-strategy="anchor-func=matmul anchor-op=linalg.matmul tile-sizes=16,32,64 promote promote-full-tile-pad register-tile-sizes=2,4,8 vectorize vectorize-contraction-to=outerproduct split-transfers=true unroll-vector-transfers=false" | FileCheck %s --check-prefix=OUTER
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// RUN: mlir-opt %s -test-linalg-codegen-strategy="anchor-func=matmul anchor-op=linalg.matmul tile-sizes=2,4,8 vectorize vectorize-contraction-to=matrixintrinsics unroll-vector-transfers=true" | FileCheck %s
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// RUN: mlir-opt %s -test-linalg-codegen-strategy="anchor-func=matmul anchor-op=linalg.matmul tile-sizes=16,32,64 promote promote-full-tile-pad register-tile-sizes=2,4,8 vectorize vectorize-contraction-to=outerproduct split-transfers=true unroll-vector-transfers=false" | FileCheck %s --check-prefix=OUTER
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// RUN: mlir-opt %s -test-linalg-codegen-strategy="anchor-func=matmul anchor-op=linalg.matmul tile-sizes=16,32,64 generalize" | FileCheck %s --check-prefix=GENER
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// RUN: mlir-opt %s -test-linalg-codegen-strategy="anchor-func=matmul anchor-op=linalg.matmul tile-sizes=16,32,64 generalize iterator-interchange=0,2,1" | FileCheck %s --check-prefix=GENER
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// CHECK-LABEL: func @matmul(
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@ -19,8 +19,10 @@ func @matmul(%A: memref<1584x1584xf32>, %B: memref<1584x1584xf32>, %C: memref<15
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// CHECK-SAME: {lhs_columns = 8 : i32, lhs_rows = 2 : i32, rhs_columns = 4 : i32}
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// CHECK-SAME: (vector<16xf32>, vector<32xf32>) -> vector<8xf32>
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// OUTER: vector.outerproduct {{.*}} : vector<2xf32>, vector<4xf32>
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// GENER: linalg.generic
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// OUTER: vector.outerproduct {{.*}} : vector<2xf32>, vector<4xf32>
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// GENER: linalg.generic
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// GENER-SAME: iterator_types = ["parallel", "reduction", "parallel"]
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return
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}
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@ -89,6 +89,9 @@ struct TestLinalgCodegenStrategy
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Option<bool> generalize{*this, "generalize",
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llvm::cl::desc("Generalize named operations."),
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llvm::cl::init(false)};
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ListOption<int64_t> iteratorInterchange{
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*this, "iterator-interchange", llvm::cl::MiscFlags::CommaSeparated,
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llvm::cl::desc("Specifies the iterator interchange.")};
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Option<bool> vectorize{
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*this, "vectorize",
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llvm::cl::desc("Rewrite the linalg op as a vector operation."),
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@ -148,6 +151,7 @@ void TestLinalgCodegenStrategy::runStrategy(
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.setAlignment(16)
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.setUseFullTileBuffersByDefault(registerPromoteFullTile))
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.generalizeIf(generalize, anchorOpName)
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.interchangeIf(!iteratorInterchange.empty(), iteratorInterchange)
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.vectorizeIf(vectorize, generalize ? genericOpName : anchorOpName)
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.setEnableVectorTransferPartialRewrite(true)
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.setEnableVectorContractLowering(true)
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