b153c05cba
Add uplifting from `scf.while` to `scf.for`. This uplifting expects a very specific ops pattern: * `before` block consisting of single `arith.cmp` op * `after` block containing `arith.addi` We also have a set of patterns to cleanup `scf.while` loops to get them close to the desired form, they will be added in separate PRs. This is part of upstreaming `numba-mlir` scf uplifting pipeline: `cf -> scf.while -> scf.for -> scf.parallel` Original code: https://github.com/numba/numba-mlir/blob/main/mlir/lib/Transforms/PromoteToParallel.cpp
51 lines
1.5 KiB
C++
51 lines
1.5 KiB
C++
//===- TestUpliftWhileToFor.cpp - while to for loop uplifting test pass ---===//
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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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//
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// Pass to test transforms SCF.WhileOp's into SCF.ForOp's.
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Dialect/SCF/Transforms/Patterns.h"
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#include "mlir/IR/PatternMatch.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 TestSCFUpliftWhileToFor
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: public PassWrapper<TestSCFUpliftWhileToFor, OperationPass<void>> {
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MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(TestSCFUpliftWhileToFor)
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StringRef getArgument() const final { return "test-scf-uplift-while-to-for"; }
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StringRef getDescription() const final {
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return "test scf while to for uplifting";
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}
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void runOnOperation() override {
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Operation *op = getOperation();
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MLIRContext *ctx = op->getContext();
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RewritePatternSet patterns(ctx);
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scf::populateUpliftWhileToForPatterns(patterns);
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if (failed(applyPatternsAndFoldGreedily(op, std::move(patterns))))
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signalPassFailure();
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}
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};
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} // namespace
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namespace mlir {
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namespace test {
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void registerTestSCFUpliftWhileToFor() {
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PassRegistration<TestSCFUpliftWhileToFor>();
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}
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} // namespace test
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} // namespace mlir
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