Rationale: Touching function level information can only be done within a module pass. Reviewed By: mehdi_amini Differential Revision: https://reviews.llvm.org/D97102
143 lines
5.0 KiB
C++
143 lines
5.0 KiB
C++
//===- TestSparsification.cpp - Test sparsification of tensors ------------===//
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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 "mlir/Dialect/LLVMIR/LLVMDialect.h"
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#include "mlir/Dialect/Linalg/Transforms/Transforms.h"
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#include "mlir/Dialect/Vector/VectorOps.h"
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#include "mlir/Pass/Pass.h"
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#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
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using namespace mlir;
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namespace {
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struct TestSparsification
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: public PassWrapper<TestSparsification, OperationPass<ModuleOp>> {
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TestSparsification() = default;
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TestSparsification(const TestSparsification &pass) {}
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Option<int32_t> parallelization{
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*this, "parallelization-strategy",
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llvm::cl::desc("Set the parallelization strategy"), llvm::cl::init(0)};
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Option<int32_t> vectorization{
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*this, "vectorization-strategy",
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llvm::cl::desc("Set the vectorization strategy"), llvm::cl::init(0)};
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Option<int32_t> vectorLength{
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*this, "vl", llvm::cl::desc("Set the vector length"), llvm::cl::init(1)};
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Option<int32_t> ptrType{*this, "ptr-type",
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llvm::cl::desc("Set the pointer type"),
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llvm::cl::init(0)};
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Option<int32_t> indType{*this, "ind-type",
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llvm::cl::desc("Set the index type"),
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llvm::cl::init(0)};
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Option<bool> fastOutput{*this, "fast-output",
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llvm::cl::desc("Allows fast output buffers"),
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llvm::cl::init(false)};
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Option<bool> lower{*this, "lower", llvm::cl::desc("Lower sparse primitives"),
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llvm::cl::init(false)};
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/// Registers all dialects required by testing.
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void getDependentDialects(DialectRegistry ®istry) const override {
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registry
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.insert<scf::SCFDialect, vector::VectorDialect, LLVM::LLVMDialect>();
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}
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/// Returns parallelization strategy given on command line.
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linalg::SparseParallelizationStrategy parallelOption() {
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switch (parallelization) {
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default:
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return linalg::SparseParallelizationStrategy::kNone;
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case 1:
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return linalg::SparseParallelizationStrategy::kDenseOuterLoop;
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case 2:
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return linalg::SparseParallelizationStrategy::kAnyStorageOuterLoop;
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case 3:
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return linalg::SparseParallelizationStrategy::kDenseAnyLoop;
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case 4:
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return linalg::SparseParallelizationStrategy::kAnyStorageAnyLoop;
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}
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}
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/// Returns vectorization strategy given on command line.
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linalg::SparseVectorizationStrategy vectorOption() {
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switch (vectorization) {
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default:
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return linalg::SparseVectorizationStrategy::kNone;
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case 1:
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return linalg::SparseVectorizationStrategy::kDenseInnerLoop;
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case 2:
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return linalg::SparseVectorizationStrategy::kAnyStorageInnerLoop;
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}
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}
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/// Returns the requested integer type.
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linalg::SparseIntType typeOption(int32_t option) {
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switch (option) {
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default:
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return linalg::SparseIntType::kNative;
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case 1:
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return linalg::SparseIntType::kI64;
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case 2:
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return linalg::SparseIntType::kI32;
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case 3:
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return linalg::SparseIntType::kI16;
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case 4:
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return linalg::SparseIntType::kI8;
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}
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}
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/// Runs the test on a function.
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void runOnOperation() override {
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auto *ctx = &getContext();
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OwningRewritePatternList patterns;
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// Translate strategy flags to strategy options.
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linalg::SparsificationOptions options(parallelOption(), vectorOption(),
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vectorLength, typeOption(ptrType),
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typeOption(indType), fastOutput);
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// Apply rewriting.
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linalg::populateSparsificationPatterns(ctx, patterns, options);
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vector::populateVectorToVectorCanonicalizationPatterns(patterns, ctx);
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(void)applyPatternsAndFoldGreedily(getOperation(), std::move(patterns));
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// Lower sparse primitives to calls into runtime support library.
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if (lower) {
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OwningRewritePatternList conversionPatterns;
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ConversionTarget target(*ctx);
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target.addIllegalOp<linalg::SparseTensorFromPointerOp,
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linalg::SparseTensorToPointersMemRefOp,
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linalg::SparseTensorToIndicesMemRefOp,
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linalg::SparseTensorToValuesMemRefOp>();
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target.addLegalOp<CallOp>();
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linalg::populateSparsificationConversionPatterns(ctx, conversionPatterns);
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if (failed(applyPartialConversion(getOperation(), target,
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std::move(conversionPatterns))))
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signalPassFailure();
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}
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}
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};
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} // end anonymous namespace
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namespace mlir {
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namespace test {
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void registerTestSparsification() {
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PassRegistration<TestSparsification> sparsificationPass(
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"test-sparsification",
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"Test automatic generation of sparse tensor code");
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}
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} // namespace test
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} // namespace mlir
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