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Initial implementations of dense dataflow analyses feature special cases for operations that have region- or call-based control flow by leveraging the corresponding interfaces. This is not necessarily sufficient as these operations may influence the dataflow state by themselves as well we through the control flow. For example, `linalg.generic` and similar operations have region-based control flow and their proper memory effects, so any memory-related analyses such as last-writer require processing `linalg.generic` directly instead of, or in addition to, the region-based flow. Provide hooks to customize the processing of operations with region- cand call-based contol flow in forward and backward dense dataflow analysis. These hooks are trigerred when control flow is transferred between the "main" operation, i.e. the call or the region owner, and another region. Such an apporach allows the analyses to update the lattice before and/or after the regions. In the `linalg.generic` example, the reads from memory are interpreted as happening before the body region and the writes to memory are interpreted as happening after the body region. Using these hooks in generic analysis may require introducing additional interfaces, but for now assume that the specific analysis have spceial cases for the (rare) operaitons with call- and region-based control flow that need additional processing. Reviewed By: Mogball, phisiart Differential Revision: https://reviews.llvm.org/D155757
203 lines
7.6 KiB
C++
203 lines
7.6 KiB
C++
//===- TestDenseDataFlowAnalysis.cpp - Test dense data flow analysis ------===//
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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 "TestDenseDataFlowAnalysis.h"
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#include "TestDialect.h"
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#include "mlir/Analysis/DataFlow/ConstantPropagationAnalysis.h"
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#include "mlir/Analysis/DataFlow/DeadCodeAnalysis.h"
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#include "mlir/Analysis/DataFlow/DenseAnalysis.h"
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#include "mlir/Interfaces/SideEffectInterfaces.h"
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#include "mlir/Pass/Pass.h"
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#include <optional>
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using namespace mlir;
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using namespace mlir::dataflow;
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using namespace mlir::dataflow::test;
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namespace {
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/// This lattice represents, for a given memory resource, the potential last
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/// operations that modified the resource.
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class LastModification : public AbstractDenseLattice, public AccessLatticeBase {
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public:
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MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(LastModification)
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using AbstractDenseLattice::AbstractDenseLattice;
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/// Join the last modifications.
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ChangeResult join(const AbstractDenseLattice &lattice) override {
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return AccessLatticeBase::merge(static_cast<AccessLatticeBase>(
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static_cast<const LastModification &>(lattice)));
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}
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void print(raw_ostream &os) const override {
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return AccessLatticeBase::print(os);
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}
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};
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class LastModifiedAnalysis : public DenseDataFlowAnalysis<LastModification> {
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public:
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using DenseDataFlowAnalysis::DenseDataFlowAnalysis;
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/// Visit an operation. If the operation has no memory effects, then the state
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/// is propagated with no change. If the operation allocates a resource, then
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/// its reaching definitions is set to empty. If the operation writes to a
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/// resource, then its reaching definition is set to the written value.
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void visitOperation(Operation *op, const LastModification &before,
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LastModification *after) override;
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void visitCallControlFlowTransfer(CallOpInterface call,
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CallControlFlowAction action,
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const LastModification &before,
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LastModification *after) override;
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void visitRegionBranchControlFlowTransfer(RegionBranchOpInterface branch,
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std::optional<unsigned> regionFrom,
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std::optional<unsigned> regionTo,
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const LastModification &before,
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LastModification *after) override;
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/// At an entry point, the last modifications of all memory resources are
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/// unknown.
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void setToEntryState(LastModification *lattice) override {
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propagateIfChanged(lattice, lattice->reset());
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}
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};
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} // end anonymous namespace
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void LastModifiedAnalysis::visitOperation(Operation *op,
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const LastModification &before,
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LastModification *after) {
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auto memory = dyn_cast<MemoryEffectOpInterface>(op);
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// If we can't reason about the memory effects, then conservatively assume we
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// can't deduce anything about the last modifications.
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if (!memory)
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return setToEntryState(after);
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SmallVector<MemoryEffects::EffectInstance> effects;
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memory.getEffects(effects);
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ChangeResult result = after->join(before);
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for (const auto &effect : effects) {
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Value value = effect.getValue();
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// If we see an effect on anything other than a value, assume we can't
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// deduce anything about the last modifications.
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if (!value)
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return setToEntryState(after);
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// If we cannot find the underlying value, we shouldn't just propagate the
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// effects through, return the pessimistic state.
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value = UnderlyingValueAnalysis::getMostUnderlyingValue(
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value, [&](Value value) {
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return getOrCreateFor<UnderlyingValueLattice>(op, value);
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});
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if (!value)
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return setToEntryState(after);
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// Nothing to do for reads.
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if (isa<MemoryEffects::Read>(effect.getEffect()))
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continue;
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result |= after->set(value, op);
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}
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propagateIfChanged(after, result);
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}
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void LastModifiedAnalysis::visitCallControlFlowTransfer(
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CallOpInterface call, CallControlFlowAction action,
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const LastModification &before, LastModification *after) {
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auto testCallAndStore =
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dyn_cast<::test::TestCallAndStoreOp>(call.getOperation());
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if (testCallAndStore && ((action == CallControlFlowAction::EnterCallee &&
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testCallAndStore.getStoreBeforeCall()) ||
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(action == CallControlFlowAction::ExitCallee &&
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!testCallAndStore.getStoreBeforeCall()))) {
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return visitOperation(call, before, after);
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}
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AbstractDenseDataFlowAnalysis::visitCallControlFlowTransfer(call, action,
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before, after);
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}
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void LastModifiedAnalysis::visitRegionBranchControlFlowTransfer(
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RegionBranchOpInterface branch, std::optional<unsigned> regionFrom,
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std::optional<unsigned> regionTo, const LastModification &before,
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LastModification *after) {
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auto testStoreWithARegion =
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dyn_cast<::test::TestStoreWithARegion>(branch.getOperation());
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if (testStoreWithARegion &&
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((!regionTo && !testStoreWithARegion.getStoreBeforeRegion()) ||
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(!regionFrom && testStoreWithARegion.getStoreBeforeRegion()))) {
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return visitOperation(branch, before, after);
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}
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AbstractDenseDataFlowAnalysis::visitRegionBranchControlFlowTransfer(
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branch, regionFrom, regionTo, before, after);
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}
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namespace {
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struct TestLastModifiedPass
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: public PassWrapper<TestLastModifiedPass, OperationPass<>> {
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MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(TestLastModifiedPass)
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StringRef getArgument() const override { return "test-last-modified"; }
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void runOnOperation() override {
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Operation *op = getOperation();
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DataFlowSolver solver;
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solver.load<DeadCodeAnalysis>();
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solver.load<SparseConstantPropagation>();
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solver.load<LastModifiedAnalysis>();
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solver.load<UnderlyingValueAnalysis>();
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if (failed(solver.initializeAndRun(op)))
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return signalPassFailure();
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raw_ostream &os = llvm::errs();
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op->walk([&](Operation *op) {
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auto tag = op->getAttrOfType<StringAttr>("tag");
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if (!tag)
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return;
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os << "test_tag: " << tag.getValue() << ":\n";
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const LastModification *lastMods =
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solver.lookupState<LastModification>(op);
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assert(lastMods && "expected a dense lattice");
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for (auto [index, operand] : llvm::enumerate(op->getOperands())) {
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os << " operand #" << index << "\n";
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Value value = UnderlyingValueAnalysis::getMostUnderlyingValue(
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operand, [&](Value value) {
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return solver.lookupState<UnderlyingValueLattice>(value);
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});
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assert(value && "expected an underlying value");
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if (std::optional<ArrayRef<Operation *>> lastMod =
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lastMods->getAdjacentAccess(value)) {
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for (Operation *lastModifier : *lastMod) {
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if (auto tagName =
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lastModifier->getAttrOfType<StringAttr>("tag_name")) {
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os << " - " << tagName.getValue() << "\n";
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} else {
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os << " - " << lastModifier->getName() << "\n";
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}
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}
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} else {
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os << " - <unknown>\n";
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}
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}
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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 registerTestLastModifiedPass() {
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PassRegistration<TestLastModifiedPass>();
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}
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} // end namespace test
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} // end namespace mlir
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