[mlir][PartialReductionTilingInterface] Add support for ReductionTilingStrategy::PartialReductionOuterParallel in tileUsingSCF.

Following up from #143467,
this PR adds support for
`ReductionTilingStrategy::PartialReductionOuterParallel` to
`tileUsingSCF`. The implementation of
`PartialReductionTilingInterface` for `Linalg` ops has been updated to
support this strategy as well. This makes the `tileUsingSCF` come on
par with `linalg::tileReductionUsingForall` which will be deprecated
subsequently.

Changes summary
- `PartialReductionTilingInterface` changes :
  - `tileToPartialReduction` method needed to get the induction
    variables of the generated tile loops. This was needed to keep the
    generated code similar to `linalg::tileReductionUsingForall`,
    specifically to create a simplified access for slicing the
    intermediate partial results tensor when tiled in `num_threads` mode.
  - `getPartialResultTilePosition` methods needs the induction
    varialbes for the generated tile loops for the same reason above,
    and also needs the `tilingStrategy` to be passed in to generate
    correct code.

The tests in `transform-tile-reduction.mlir` testing the
`linalg::tileReductionUsingForall` have been moved over to test
`scf::tileUsingSCF` with
`ReductionTilingStrategy::PartialReductionOuterParallel`
strategy. Some of the test that were doing further cyclic distribution
of the transformed code from tiling are removed. Those seem like two
separate transformation that were merged into one. Ideally that would
need to happen when resolving the `scf.forall` rather than during
tiling.

Signed-off-by: MaheshRavishankar <[email protected]>

Author: MaheshRavishankar

mlir/include/mlir/Dialect/Linalg/TransformOps/LinalgTransformOps.td

@@ -2019,6 +2019,7 @@ def TileReductionUsingForallOp :
 
   // TODO: support mixed static-dynamic (see TileUsingForallOp).
   let arguments = (ins TransformHandleTypeInterface:$target,
+                   DefaultValuedAttr<I64ArrayAttr, "{}">:$reduction_dims,
                    DefaultValuedAttr<DenseI64ArrayAttr, "{}">:$num_threads,
                    DefaultValuedAttr<DenseI64ArrayAttr, "{}">:$tile_sizes,
                    OptionalAttr<DeviceMappingArrayAttr>:$mapping);
@@ -2036,10 +2037,11 @@ def TileReductionUsingForallOp :
 
   let assemblyFormat = [{
     $target
+    (`reduction_dims` `=` $reduction_dims^)?
     `by`
     (`num_threads` `=` $num_threads^)?
-    (`,` `tile_sizes` `=` $tile_sizes^)?
-    (`,` `mapping` `=` $mapping^)?
+    (`tile_sizes` `=` $tile_sizes^)?
+    (`mapping` `=` $mapping^)?
     attr-dict
     `:` functional-type(operands, results)
   }];

mlir/include/mlir/Dialect/Utils/StaticValueUtils.h

@@ -156,7 +156,7 @@ SmallVector<OpFoldResult> getMixedValues(ArrayRef<int64_t> staticValues,
 /// corresponding pair of arrays. This is the inverse function of
 /// `getMixedValues`.
 std::pair<SmallVector<int64_t>, SmallVector<Value>>
-decomposeMixedValues(const SmallVectorImpl<OpFoldResult> &mixedValues);
+decomposeMixedValues(ArrayRef<OpFoldResult> mixedValues);
 
 /// Helper to sort `values` according to matching `keys`.
 SmallVector<Value>

mlir/include/mlir/Interfaces/TilingInterface.td

@@ -367,23 +367,28 @@ def PartialReductionOpInterface :
     OpInterface<"PartialReductionOpInterface", [TilingInterface]> {
   let description = [{
     Interface for allowing operations to expose information needed to
-    tile reductions using partial reduction followed by merge. This is
-    complementary to TilingInterface to tile reductions.
+    tile reductions using partial reduction followed by merge. This
+    extends the `TilingInterface` to allow splitting a reduction
+    dimension into a parallel dimension and reduction dimension.
+    The materialized inter-tile loop could either be the reduction dimension
+    (i.e. `ReductionTilingStrategy::PartialReductionOuterReduction`) or
+    the parallel dimension (i.e
+    `ReductionTilingStrategy::PartialReductionOuterReduction`).
   }];
   let cppNamespace = "::mlir";
   let methods = [
       InterfaceMethod<
         /*desc=*/[{
           Method to generate a tensor initalized with the identity value of the
-          operation reduction. The tensor shape is equal to operation result
+          reduction operator. The tensor shape is equal to operation result
           shape with new dimension for each non zero tile size.
         }],
         /*retType=*/"::mlir::FailureOr<SmallVector<Value>>",
         /*methodName=*/"generateInitialTensorForPartialReduction",
         /*args=*/(ins
             "::mlir::OpBuilder &":$b,
             "Location":$loc,
-            "::mlir::ArrayRef<::mlir::OpFoldResult>":$sizes,
+            "::mlir::ArrayRef<::mlir::OpFoldResult>":$tileSizes,
             "const ::mlir::SetVector<unsigned> &":$reductionDims),
         /*methodBody=*/"",
         /*defaultImplementation=*/[{
@@ -396,6 +401,11 @@ def PartialReductionOpInterface :
           reduction dimension are converted to parallel dimensions with a size
           less or equal to the tile size. This is meant to be used with
           `mergeReductions` method which will combine the partial reductions.
+          The method recieves the `offset` and `sizes` for all iteration space
+          dimensions, as well as the iteration number of the tiled reduction
+          dimensions (which is the induction variable of the inter-tile loop
+          for the reduction dimension divided by the step of the loop) in
+          `splitReductionIvs`.
         }],
         /*retType=*/"::mlir::FailureOr<TilingResult>",
         /*methodName=*/"tileToPartialReduction",
@@ -406,7 +416,8 @@ def PartialReductionOpInterface :
             "ValueRange":$init,
             "::mlir::ArrayRef<::mlir::OpFoldResult>":$offsets,
             "::mlir::ArrayRef<::mlir::OpFoldResult>":$sizes,
-            "const ::llvm::SetVector<unsigned> &":$reductionDims),
+            "const ::llvm::SetVector<unsigned> &":$reductionDims,
+            "::mlir::ArrayRef<::mlir::OpFoldResult>":$splitReductionIvs),
         /*methodBody=*/"",
         /*defaultImplementation=*/[{
           return failure();
@@ -436,15 +447,22 @@ def PartialReductionOpInterface :
           the tiled operation. This is same as
           TilingInterface:::getResultTilePosition, but determines the result
           tile position for partial reduction.
+          The method recieves the `offset` and `sizes` for all iteration space
+          dimensions, as well as the iteration number of the tiled reduction
+          dimensions (which is the induction variable of the inter-tile loop
+          for the reduction dimension divided by the tile size specified) in
+          `splitReductionIvs`.
         }],
         /*retType=*/"::llvm::LogicalResult",
         /*methodName=*/"getPartialResultTilePosition",
         /*args=*/(ins
             "::mlir::OpBuilder &":$b,
             "unsigned":$resultNumber,
+            "ReductionTilingStrategy":$tilingStrategy,
             "::mlir::ArrayRef<::mlir::OpFoldResult> ":$offsets,
             "::mlir::ArrayRef<::mlir::OpFoldResult> ":$sizes,
             "const ::mlir::SetVector<unsigned> &":$reductionDims,
+            "::mlir::ArrayRef<::mlir::OpFoldResult>":$splitReductionIvs,
             "::mlir::SmallVector<::mlir::OpFoldResult> &":$resultOffsets,
             "::mlir::SmallVector<::mlir::OpFoldResult> &":$resultSizes),
         /*methodBody=*/"",

mlir/lib/Dialect/Linalg/TransformOps/LinalgTransformOps.cpp

@@ -3022,6 +3022,7 @@ void transform::TileReductionUsingForallOp::build(
   build(builder, result,
         /*resultTypes=*/TypeRange{opTy, opTy, opTy, opTy},
         /*target=*/target,
+        /*reduction_dims=*/{},
         /*num_threads=*/staticNumThreadsAttr,
         /*tile_sizes=*/staticTileSizesAttr,
         /*mapping=*/mapping);
@@ -3036,23 +3037,45 @@ DiagnosedSilenceableFailure transform::TileReductionUsingForallOp::applyToOne(
       getAsOpFoldResult(rewriter.getI64ArrayAttr(getNumThreads()));
   SmallVector<OpFoldResult> tileSizes =
       getAsOpFoldResult(rewriter.getI64ArrayAttr(getTileSizes()));
-  FailureOr<linalg::ForallReductionTilingResult> result =
-      linalg::tileReductionUsingForall(
-          rewriter, cast<PartialReductionOpInterface>(target.getOperation()),
-          numThreads, tileSizes, getMapping());
+
+  scf::SCFTilingOptions options;
+  options.setLoopType(scf::SCFTilingOptions::LoopType::ForallOp);
+  options.setReductionTilingStrategy(
+      ReductionTilingStrategy::PartialReductionOuterParallel);
+  if (!getNumThreads().empty()) {
+    options.setNumThreads(numThreads);
+  } else {
+    options.setTileSizes(tileSizes);
+  }
+  if (auto mapping = getMapping()) {
+    options.setMapping(mapping.value().getValue());
+  }
+  SmallVector<unsigned> reductionDims =
+      extractFromIntegerArrayAttr<unsigned>(getReductionDims());
+  if (reductionDims.empty()) {
+    for (auto [idx, iteratorType] :
+         llvm::enumerate(target.getIteratorTypesArray())) {
+      if (iteratorType == utils::IteratorType::reduction)
+        reductionDims.push_back(idx);
+    }
+  }
+  options.setReductionDims(reductionDims);
+  FailureOr<scf::SCFTilingResult> result = scf::tileUsingSCF(
+      rewriter, cast<TilingInterface>(target.getOperation()), options);
 
   if (failed(result)) {
     auto diag = emitSilenceableError() << "could not tile reduction";
-    diag.attachNote(target.getLoc()) << "target operation";
     return diag;
   }
+  rewriter.replaceOp(target, result->replacements);
+
   for (Value initValue : result->initialValues)
     results.push_back(initValue.getDefiningOp());
-  for (auto parallelTiledOp : result->parallelTiledOps)
+  for (auto parallelTiledOp : result->tiledOps)
     results.push_back(parallelTiledOp);
   for (auto mergeOp : result->mergeOps)
     results.push_back(mergeOp);
-  results.push_back(result->loops);
+  results.push_back(result->loops.front());
   return DiagnosedSilenceableFailure::success();
 }