103 lines
3.8 KiB
C++
103 lines
3.8 KiB
C++
//===- ComprehensiveBufferize.cpp - Single pass bufferization -------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#include "PassDetail.h"
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#include "mlir/Dialect/Linalg/ComprehensiveBufferize/BufferizableOpInterface.h"
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#include "mlir/Dialect/Linalg/ComprehensiveBufferize/ComprehensiveBufferize.h"
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#include "mlir/Dialect/Linalg/ComprehensiveBufferize/LinalgInterfaceImpl.h"
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#include "mlir/Dialect/Linalg/ComprehensiveBufferize/TensorInterfaceImpl.h"
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#include "mlir/Dialect/Linalg/Passes.h"
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#include "mlir/Pass/Pass.h"
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#include "mlir/Pass/PassManager.h"
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#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
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#include "mlir/Transforms/Passes.h"
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using namespace mlir;
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using namespace mlir::linalg;
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using namespace mlir::linalg::comprehensive_bufferize;
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namespace {
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struct LinalgComprehensiveModuleBufferize
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: public LinalgComprehensiveModuleBufferizeBase<
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LinalgComprehensiveModuleBufferize> {
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LinalgComprehensiveModuleBufferize() {}
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LinalgComprehensiveModuleBufferize(
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const LinalgComprehensiveModuleBufferize &p) {}
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void runOnOperation() override;
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void getDependentDialects(DialectRegistry ®istry) const override {
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registry
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.insert<linalg::LinalgDialect, memref::MemRefDialect,
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tensor::TensorDialect, vector::VectorDialect, scf::SCFDialect,
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arith::ArithmeticDialect, StandardOpsDialect, AffineDialect>();
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registerBufferizableOpInterfaceExternalModels(registry);
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linalg_ext::registerBufferizableOpInterfaceExternalModels(registry);
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tensor_ext::registerBufferizableOpInterfaceExternalModels(registry);
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}
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};
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} // end namespace
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static void applyEnablingTransformations(ModuleOp moduleOp) {
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RewritePatternSet patterns(moduleOp.getContext());
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patterns.add<GeneralizePadTensorOpPattern>(moduleOp.getContext());
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(void)applyPatternsAndFoldGreedily(moduleOp, std::move(patterns));
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}
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static Optional<Value>
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allocationFnUsingAlloca(OpBuilder &b, Location loc, MemRefType type,
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const SmallVector<Value> &dynShape) {
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Value allocated = b.create<memref::AllocaOp>(
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loc, type, dynShape, b.getI64IntegerAttr(kBufferAlignments));
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return allocated;
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}
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void LinalgComprehensiveModuleBufferize::runOnOperation() {
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BufferizationOptions options;
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if (useAlloca) {
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options.allocationFns->allocationFn = allocationFnUsingAlloca;
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options.allocationFns->deallocationFn = [](OpBuilder &b, Location loc,
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Value v) {};
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}
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// TODO: Change to memref::CopyOp (default memCpyFn).
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options.allocationFns->memCpyFn = [](OpBuilder &b, Location loc, Value from,
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Value to) {
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b.create<linalg::CopyOp>(loc, from, to);
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};
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options.allowReturnMemref = allowReturnMemref;
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options.analysisFuzzerSeed = analysisFuzzerSeed;
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options.testAnalysisOnly = testAnalysisOnly;
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// Enable InitTensorOp elimination.
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options.addPostAnalysisStep<
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linalg_ext::InsertSliceAnchoredInitTensorEliminationStep>();
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ModuleOp moduleOp = getOperation();
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applyEnablingTransformations(moduleOp);
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if (failed(runComprehensiveBufferize(moduleOp, options))) {
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signalPassFailure();
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return;
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}
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if (options.testAnalysisOnly)
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return;
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OpPassManager cleanupPipeline("builtin.module");
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cleanupPipeline.addPass(createCanonicalizerPass());
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cleanupPipeline.addPass(createCSEPass());
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cleanupPipeline.addPass(createLoopInvariantCodeMotionPass());
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(void)runPipeline(cleanupPipeline, moduleOp);
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}
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std::unique_ptr<Pass> mlir::createLinalgComprehensiveModuleBufferizePass() {
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return std::make_unique<LinalgComprehensiveModuleBufferize>();
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}
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