[mlir] Add an option to still use bottom-up traversal

GreedyPatternRewriteDriver was changed from bottom-up traversal to top-down traversal. Not all passes work yet with that change for traversal order. To give some time for fixing, add an option to allow to switch back to bottom-up traversal. Use this option in FusionOfTensorOpsPass which fails otherwise.

Differential Revision: https://reviews.llvm.org/D99059
This commit is contained in:
Adrian Kuegel 2021-03-22 09:42:57 +01:00
parent 82f6e0dde2
commit c691b9686b
3 changed files with 49 additions and 36 deletions

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@ -35,26 +35,26 @@ namespace mlir {
/// before attempting to match any of the provided patterns.
LogicalResult
applyPatternsAndFoldGreedily(Operation *op,
const FrozenRewritePatternList &patterns);
const FrozenRewritePatternList &patterns,
bool useTopDownTraversal = true);
/// Rewrite the regions of the specified operation, with a user-provided limit
/// on iterations to attempt before reaching convergence.
LogicalResult
applyPatternsAndFoldGreedily(Operation *op,
const FrozenRewritePatternList &patterns,
unsigned maxIterations);
LogicalResult applyPatternsAndFoldGreedily(
Operation *op, const FrozenRewritePatternList &patterns,
unsigned maxIterations, bool useTopDownTraversal = true);
/// Rewrite the given regions, which must be isolated from above.
LogicalResult
applyPatternsAndFoldGreedily(MutableArrayRef<Region> regions,
const FrozenRewritePatternList &patterns);
const FrozenRewritePatternList &patterns,
bool useTopDownTraversal = true);
/// Rewrite the given regions, with a user-provided limit on iterations to
/// attempt before reaching convergence.
LogicalResult
applyPatternsAndFoldGreedily(MutableArrayRef<Region> regions,
const FrozenRewritePatternList &patterns,
unsigned maxIterations);
LogicalResult applyPatternsAndFoldGreedily(
MutableArrayRef<Region> regions, const FrozenRewritePatternList &patterns,
unsigned maxIterations, bool useTopDownTraversal = true);
/// Applies the specified patterns on `op` alone while also trying to fold it,
/// by selecting the highest benefits patterns in a greedy manner. Returns

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@ -1115,7 +1115,8 @@ struct FusionOfTensorOpsPass
Operation *op = getOperation();
OwningRewritePatternList patterns(op->getContext());
populateLinalgTensorOpsFusionPatterns(patterns);
(void)applyPatternsAndFoldGreedily(op->getRegions(), std::move(patterns));
(void)applyPatternsAndFoldGreedily(op->getRegions(), std::move(patterns),
/*useTopDown=*/false);
}
};

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@ -37,8 +37,10 @@ namespace {
class GreedyPatternRewriteDriver : public PatternRewriter {
public:
explicit GreedyPatternRewriteDriver(MLIRContext *ctx,
const FrozenRewritePatternList &patterns)
: PatternRewriter(ctx), matcher(patterns), folder(ctx) {
const FrozenRewritePatternList &patterns,
bool useTopDownTraversal)
: PatternRewriter(ctx), matcher(patterns), folder(ctx),
useTopDownTraversal(useTopDownTraversal) {
worklist.reserve(64);
// Apply a simple cost model based solely on pattern benefit.
@ -134,6 +136,9 @@ private:
/// Non-pattern based folder for operations.
OperationFolder folder;
// Whether to use top-down or bottom-up traversal order.
bool useTopDownTraversal;
};
} // end anonymous namespace
@ -153,14 +158,19 @@ bool GreedyPatternRewriteDriver::simplify(MutableArrayRef<Region> regions,
// Add all nested operations to the worklist in preorder.
for (auto &region : regions)
region.walk<WalkOrder::PreOrder>(
[this](Operation *op) { worklist.push_back(op); });
if (useTopDownTraversal)
region.walk<WalkOrder::PreOrder>(
[this](Operation *op) { worklist.push_back(op); });
else
region.walk([this](Operation *op) { addToWorklist(op); });
// Reverse the list so our pop-back loop processes them in-order.
std::reverse(worklist.begin(), worklist.end());
// Remember the reverse index.
for (unsigned i = 0, e = worklist.size(); i != e; ++i)
worklistMap[worklist[i]] = i;
if (useTopDownTraversal) {
// Reverse the list so our pop-back loop processes them in-order.
std::reverse(worklist.begin(), worklist.end());
// Remember the reverse index.
for (unsigned i = 0, e = worklist.size(); i != e; ++i)
worklistMap[worklist[i]] = i;
}
// These are scratch vectors used in the folding loop below.
SmallVector<Value, 8> originalOperands, resultValues;
@ -231,28 +241,29 @@ bool GreedyPatternRewriteDriver::simplify(MutableArrayRef<Region> regions,
/// top-level operation itself.
///
LogicalResult
mlir::applyPatternsAndFoldGreedily(Operation *op,
const FrozenRewritePatternList &patterns) {
return applyPatternsAndFoldGreedily(op, patterns, maxPatternMatchIterations);
}
LogicalResult
mlir::applyPatternsAndFoldGreedily(Operation *op,
const FrozenRewritePatternList &patterns,
unsigned maxIterations) {
return applyPatternsAndFoldGreedily(op->getRegions(), patterns,
maxIterations);
bool useTopDownTraversal) {
return applyPatternsAndFoldGreedily(op, patterns, maxPatternMatchIterations,
useTopDownTraversal);
}
LogicalResult mlir::applyPatternsAndFoldGreedily(
Operation *op, const FrozenRewritePatternList &patterns,
unsigned maxIterations, bool useTopDownTraversal) {
return applyPatternsAndFoldGreedily(op->getRegions(), patterns, maxIterations,
useTopDownTraversal);
}
/// Rewrite the given regions, which must be isolated from above.
LogicalResult
mlir::applyPatternsAndFoldGreedily(MutableArrayRef<Region> regions,
const FrozenRewritePatternList &patterns) {
return applyPatternsAndFoldGreedily(regions, patterns,
maxPatternMatchIterations);
}
LogicalResult
mlir::applyPatternsAndFoldGreedily(MutableArrayRef<Region> regions,
const FrozenRewritePatternList &patterns,
unsigned maxIterations) {
bool useTopDownTraversal) {
return applyPatternsAndFoldGreedily(
regions, patterns, maxPatternMatchIterations, useTopDownTraversal);
}
LogicalResult mlir::applyPatternsAndFoldGreedily(
MutableArrayRef<Region> regions, const FrozenRewritePatternList &patterns,
unsigned maxIterations, bool useTopDownTraversal) {
if (regions.empty())
return success();
@ -267,7 +278,8 @@ mlir::applyPatternsAndFoldGreedily(MutableArrayRef<Region> regions,
"patterns can only be applied to operations IsolatedFromAbove");
// Start the pattern driver.
GreedyPatternRewriteDriver driver(regions[0].getContext(), patterns);
GreedyPatternRewriteDriver driver(regions[0].getContext(), patterns,
useTopDownTraversal);
bool converged = driver.simplify(regions, maxIterations);
LLVM_DEBUG(if (!converged) {
llvm::dbgs() << "The pattern rewrite doesn't converge after scanning "