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//===- 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/Arithmetic/IR/Arithmetic.h"
#include "mlir/Dialect/Complex/IR/Complex.h"
#include "mlir/Dialect/GPU/IR/GPUDialect.h"
#include "mlir/Dialect/SCF/IR/SCF.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> {
ForLoopMapper() = default;
ForLoopMapper(unsigned numBlockDims, unsigned numThreadDims) {
this->numBlockDims = numBlockDims;
this->numThreadDims = numThreadDims;
}
void runOnOperation() override {
for (Operation &op :
llvm::make_early_inc_range(getOperation().getBody().getOps())) {
if (auto forOp = dyn_cast<AffineForOp>(&op)) {
if (failed(convertAffineLoopNestToGPULaunch(forOp, numBlockDims,
numThreadDims)))
signalPassFailure();
}
}
}
};
struct ParallelLoopToGpuPass
: public ConvertParallelLoopToGpuBase<ParallelLoopToGpuPass> {
void runOnOperation() override {
RewritePatternSet patterns(&getContext());
populateParallelLoopToGPUPatterns(patterns);
ConversionTarget target(getContext());
target.markUnknownOpDynamicallyLegal([](Operation *) { return true; });
configureParallelLoopToGPULegality(target);
if (failed(applyPartialConversion(getOperation(), target,
std::move(patterns))))
signalPassFailure();
finalizeParallelLoopToGPUConversion(getOperation());
}
};
} // namespace
std::unique_ptr<InterfacePass<FunctionOpInterface>>
mlir::createAffineForToGPUPass(unsigned numBlockDims, unsigned numThreadDims) {
return std::make_unique<ForLoopMapper>(numBlockDims, numThreadDims);
}
std::unique_ptr<InterfacePass<FunctionOpInterface>>
mlir::createAffineForToGPUPass() {
return std::make_unique<ForLoopMapper>();
}
std::unique_ptr<Pass> mlir::createParallelLoopToGpuPass() {
return std::make_unique<ParallelLoopToGpuPass>();
}
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