[mlir][Linalg] Avoid unnecessary propagating producer result to fused op result.
authorMahesh Ravishankar <ravishankarm@google.com>
Wed, 16 Nov 2022 07:52:34 +0000 (07:52 +0000)
committerMahesh Ravishankar <ravishankarm@google.com>
Tue, 22 Nov 2022 07:08:17 +0000 (07:08 +0000)
Elementwise op fusion conserves the result of the producer in the
fused op, relying on later clean up patterns to drop unused results of
the fused op. Instead, if the producer result has no other use apart
from the consumer op, avoid making the producer result available in
the fused node. This saves some unnecessary IR manipulations.

Differential Revision: https://reviews.llvm.org/D138096

mlir/lib/Dialect/Linalg/IR/LinalgInterfaces.cpp
mlir/lib/Dialect/Linalg/Transforms/ElementwiseOpFusion.cpp
mlir/test/Dialect/Linalg/fusion-elementwise-options.mlir
mlir/test/Dialect/Linalg/fusion-elementwise.mlir [new file with mode: 0644]
mlir/test/lib/Dialect/Linalg/TestLinalgElementwiseFusion.cpp

index f812621..b508871 100644 (file)
@@ -36,6 +36,11 @@ bool linalg::detail::canOpOperandsBeDroppedImpl(
       continue;
     indexingMaps.push_back(linalgOp.getMatchingIndexingMap(&opOperand));
   }
+  if (indexingMaps.empty()) {
+    // If there are no indexing maps, the operand can only be dropped
+    // if the op has no loops.
+    return linalgOp.getNumLoops() == 0;
+  }
   return inversePermutation(concatAffineMaps(indexingMaps)) != AffineMap();
 }
 
index bdc7bac..11eed11 100644 (file)
@@ -143,10 +143,10 @@ bool mlir::linalg::areElementwiseOpsFusable(OpOperand *fusedOperand) {
 
 /// Generate the region of the fused tensor operation. The region of the fused
 /// op must be empty.
-static void
-generateFusedElementwiseOpRegion(RewriterBase &rewriter, GenericOp fusedOp,
-                                 AffineMap consumerToProducerLoopsMap,
-                                 OpOperand *fusedOperand, unsigned nloops) {
+static void generateFusedElementwiseOpRegion(
+    RewriterBase &rewriter, GenericOp fusedOp,
+    AffineMap consumerToProducerLoopsMap, OpOperand *fusedOperand,
+    unsigned nloops, llvm::SmallDenseSet<int> &preservedProducerResults) {
   auto producer = cast<GenericOp>(fusedOperand->get().getDefiningOp());
   auto consumer = cast<GenericOp>(fusedOperand->getOwner());
   // Build the region of the fused op.
@@ -202,9 +202,13 @@ generateFusedElementwiseOpRegion(RewriterBase &rewriter, GenericOp fusedOp,
     mapper.map(bbArg, fusedBlock->addArgument(bbArg.getType(), bbArg.getLoc()));
 
   // 6. All of the producer's output operands
-  for (BlockArgument bbArg :
-       producerBlock.getArguments().take_back(producer.getNumDpsInits()))
-    mapper.map(bbArg, fusedBlock->addArgument(bbArg.getType(), bbArg.getLoc()));
+  for (auto bbArg : llvm::enumerate(
+           producerBlock.getArguments().take_back(producer.getNumDpsInits()))) {
+    if (!preservedProducerResults.count(bbArg.index()))
+      continue;
+    mapper.map(bbArg.value(), fusedBlock->addArgument(bbArg.value().getType(),
+                                                      bbArg.value().getLoc()));
+  }
 
   // 7. All of consumer's output operands.
   for (BlockArgument bbArg :
@@ -247,8 +251,11 @@ generateFusedElementwiseOpRegion(RewriterBase &rewriter, GenericOp fusedOp,
   SmallVector<Value> fusedYieldValues;
   fusedYieldValues.reserve(producerYieldOp.getNumOperands() +
                            consumerYieldOp.getNumOperands());
-  for (auto producerYieldVal : producerYieldOp.getOperands())
-    fusedYieldValues.push_back(mapper.lookupOrDefault(producerYieldVal));
+  for (auto producerYieldVal : llvm::enumerate(producerYieldOp.getOperands())) {
+    if (preservedProducerResults.count(producerYieldVal.index()))
+      fusedYieldValues.push_back(
+          mapper.lookupOrDefault(producerYieldVal.value()));
+  }
   for (auto consumerYieldVal : consumerYieldOp.getOperands())
     fusedYieldValues.push_back(mapper.lookupOrDefault(consumerYieldVal));
   rewriter.create<YieldOp>(fusedOp.getLoc(), fusedYieldValues);
@@ -269,6 +276,18 @@ mlir::linalg::fuseElementwiseOps(RewriterBase &rewriter,
   // TODO: allow fusing the producer of an output operand.
   assert(consumer.isDpsInput(fusedOperand) &&
          "expected producer of input operand");
+  /// Find the results of the producer that have uses outside of the consumer.
+  llvm::SmallDenseSet<int> preservedProducerResults;
+  for (auto producerResult : llvm::enumerate(producer->getResults())) {
+    auto outputOperand = producer.getDpsInitOperand(producerResult.index());
+    if (producer.payloadUsesValueFromOperand(outputOperand) ||
+        !producer.canOpOperandsBeDropped(outputOperand) ||
+        llvm::any_of(producerResult.value().getUsers(), [&](Operation *user) {
+          return user != consumer.getOperation();
+        })) {
+      preservedProducerResults.insert(producerResult.index());
+    }
+  }
 
   // Compute the fused operands list and indexing maps.
   SmallVector<Value> fusedInputOperands, fusedOutputOperands;
@@ -276,9 +295,9 @@ mlir::linalg::fuseElementwiseOps(RewriterBase &rewriter,
   SmallVector<AffineMap> fusedIndexMaps;
   fusedInputOperands.reserve(producer.getNumDpsInputs() +
                              consumer.getNumDpsInputs());
-  fusedOutputOperands.reserve(producer.getNumDpsInits() +
+  fusedOutputOperands.reserve(preservedProducerResults.size() +
                               consumer.getNumDpsInits());
-  fusedResultTypes.reserve(producer.getNumDpsInits() +
+  fusedResultTypes.reserve(preservedProducerResults.size() +
                            consumer.getNumDpsInits());
   fusedIndexMaps.reserve(producer->getNumOperands() +
                          consumer->getNumOperands());
@@ -313,13 +332,16 @@ mlir::linalg::fuseElementwiseOps(RewriterBase &rewriter,
   }
 
   // 6. Collect all of the producer outputs.
-  for (OpOperand *opOperand : producer.getDpsInitOperands()) {
-    fusedOutputOperands.push_back(opOperand->get());
+  for (auto opOperand : llvm::enumerate(producer.getDpsInitOperands())) {
+    if (!preservedProducerResults.count(opOperand.index()))
+      continue;
+
+    fusedOutputOperands.push_back(opOperand.value()->get());
     AffineMap map = getIndexingMapOfProducerOperandsInCoordinatesOfFusedOp(
-        opOperand, producerResultIndexMap,
+        opOperand.value(), producerResultIndexMap,
         consumer.getMatchingIndexingMap(fusedOperand));
     fusedIndexMaps.push_back(map);
-    fusedResultTypes.push_back(opOperand->get().getType());
+    fusedResultTypes.push_back(opOperand.value()->get().getType());
   }
 
   // 7. All of consumer's output operands (skip operands: added by the builder).
@@ -358,9 +380,9 @@ mlir::linalg::fuseElementwiseOps(RewriterBase &rewriter,
   AffineMap consumerToProducerLoopsMap =
       invProducerResultIndexMap.compose(consumerResultIndexMap);
 
-  generateFusedElementwiseOpRegion(rewriter, fusedOp,
-                                   consumerToProducerLoopsMap, fusedOperand,
-                                   consumer.getNumLoops());
+  generateFusedElementwiseOpRegion(
+      rewriter, fusedOp, consumerToProducerLoopsMap, fusedOperand,
+      consumer.getNumLoops(), preservedProducerResults);
   return fusedOp.getOperation();
 }
 
index 3cfb1b4..f11c58b 100644 (file)
@@ -1,4 +1,4 @@
-// RUN: mlir-opt %s -test-linalg-elementwise-fusion-patterns=fuse-generic-ops -split-input-file | FileCheck %s
+// RUN: mlir-opt %s -test-linalg-elementwise-fusion-patterns=fuse-generic-ops-control -split-input-file | FileCheck %s
 
 #map0 = affine_map<(d0, d1) -> (d0, d1)>
 #binary2Dpointwise = {
diff --git a/mlir/test/Dialect/Linalg/fusion-elementwise.mlir b/mlir/test/Dialect/Linalg/fusion-elementwise.mlir
new file mode 100644 (file)
index 0000000..8131e40
--- /dev/null
@@ -0,0 +1,30 @@
+// RUN: mlir-opt %s -test-linalg-elementwise-fusion-patterns=fuse-generic-ops-control -split-input-file | FileCheck %s
+
+#map = affine_map<(d0, d1) -> (d0, d1)>
+func.func @drop_unused_producer_result(%arg0 : tensor<?x?xf32>,
+    %arg1 : tensor<?x?xf32>) -> tensor<?x?xf32> {
+  %0:2 = linalg.generic {
+      indexing_maps = [#map, #map, #map],
+      iterator_types = ["parallel", "parallel"]}
+      ins(%arg0 : tensor<?x?xf32>) outs(%arg0, %arg0  : tensor<?x?xf32>, tensor<?x?xf32>) {
+    ^bb0(%b0: f32, %b1: f32, %b2: f32):
+      %1 = arith.addf %b0, %b0 : f32
+      %2 = arith.mulf %b0, %b0 : f32
+      linalg.yield %1, %2 : f32, f32
+    } -> (tensor<?x?xf32>, tensor<?x?xf32>)
+  %3 = linalg.generic {
+      indexing_maps = [#map, #map, #map],
+      iterator_types = ["parallel", "parallel"]}
+      ins(%0#0, %arg1 : tensor<?x?xf32>, tensor<?x?xf32>) outs(%arg0  : tensor<?x?xf32>) {
+    ^bb0(%b0: f32, %b1: f32, %b2: f32):
+      %4 = arith.subf %b0, %b1 : f32
+      linalg.yield %4 : f32
+    } -> tensor<?x?xf32>
+  return %3 : tensor<?x?xf32>
+}
+// CHECK-LABEL: func @drop_unused_producer_result
+//  CHECK-SAME:   %[[ARG0:[a-zA-Z0-9]+]]: tensor<?x?xf32>
+//  CHECK-SAME:   %[[ARG1:[a-zA-Z0-9]+]]: tensor<?x?xf32>
+//       CHECK:   %[[FUSED_OP:.+]] = linalg.generic
+//  CHECK-SAME:       ins(%[[ARG0]], %[[ARG1]] :
+//       CHECK:   return %[[FUSED_OP]]
index 4bd6d43..e2f61a9 100644 (file)
@@ -75,6 +75,12 @@ struct TestLinalgElementwiseFusion
       llvm::cl::desc("Test fusion of generic operations."),
       llvm::cl::init(false)};
 
+  Option<bool> fuseGenericOpsControl{
+      *this, "fuse-generic-ops-control",
+      llvm::cl::desc(
+          "Test fusion of generic operations with a control function."),
+      llvm::cl::init(false)};
+
   Option<bool> fuseWithReshapeByExpansion{
       *this, "fuse-with-reshape-by-expansion",
       llvm::cl::desc(
@@ -109,6 +115,15 @@ struct TestLinalgElementwiseFusion
 
     if (fuseGenericOps) {
       RewritePatternSet fusionPatterns(context);
+      auto controlFn = [](OpOperand *operand) { return true; };
+      linalg::populateElementwiseOpsFusionPatterns(fusionPatterns, controlFn);
+      (void)applyPatternsAndFoldGreedily(funcOp.getBody(),
+                                         std::move(fusionPatterns));
+      return;
+    }
+
+    if (fuseGenericOpsControl) {
+      RewritePatternSet fusionPatterns(context);
       linalg::populateElementwiseOpsFusionPatterns(fusionPatterns,
                                                    setFusedOpOperandLimit<4>);