//===- SCFToGPUPass.cpp - Convert a loop nest to a GPU kernel -----------===// // // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. // See https://llvm.org/LICENSE.txt for license information. // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception // //===----------------------------------------------------------------------===// #include "mlir/Conversion/SCFToGPU/SCFToGPUPass.h" #include "../PassDetail.h" #include "mlir/Conversion/SCFToGPU/SCFToGPU.h" #include "mlir/Dialect/Affine/IR/AffineOps.h" #include "mlir/Dialect/GPU/GPUDialect.h" #include "mlir/Dialect/SCF/SCF.h" #include "mlir/Dialect/StandardOps/IR/Ops.h" #include "mlir/Transforms/DialectConversion.h" #include "llvm/ADT/ArrayRef.h" #include "llvm/Support/CommandLine.h" using namespace mlir; using namespace mlir::scf; namespace { // A pass that traverses top-level loops in the function and converts them to // GPU launch operations. Nested launches are not allowed, so this does not // walk the function recursively to avoid considering nested loops. struct ForLoopMapper : public ConvertAffineForToGPUBase { ForLoopMapper() = default; ForLoopMapper(unsigned numBlockDims, unsigned numThreadDims) { this->numBlockDims = numBlockDims; this->numThreadDims = numThreadDims; } void runOnFunction() override { for (Operation &op : llvm::make_early_inc_range(getFunction().getOps())) { if (auto forOp = dyn_cast(&op)) { if (failed(convertAffineLoopNestToGPULaunch(forOp, numBlockDims, numThreadDims))) signalPassFailure(); } } } }; struct ParallelLoopToGpuPass : public ConvertParallelLoopToGpuBase { void runOnOperation() override { OwningRewritePatternList patterns; populateParallelLoopToGPUPatterns(patterns, &getContext()); ConversionTarget target(getContext()); target.addLegalDialect(); target.addLegalDialect(); target.addLegalDialect(); target.addLegalDialect(); configureParallelLoopToGPULegality(target); if (failed(applyPartialConversion(getOperation(), target, std::move(patterns)))) signalPassFailure(); } }; } // namespace std::unique_ptr> mlir::createAffineForToGPUPass(unsigned numBlockDims, unsigned numThreadDims) { return std::make_unique(numBlockDims, numThreadDims); } std::unique_ptr> mlir::createAffineForToGPUPass() { return std::make_unique(); } std::unique_ptr mlir::createParallelLoopToGpuPass() { return std::make_unique(); }