[mlir][Linalg] NFC - Make useFullTileBuffersByDefault option take a boolean.

Author: Nicolas Vasilache

mlir/include/mlir/Dialect/Linalg/Transforms/Transforms.h

@@ -106,8 +106,8 @@ struct LinalgPromotionOptions {
   /// If true all operands unspecified by `useFullTileBuffers` will use the full
   /// view, otherwise the partial view.
   bool useFullTileBuffersDefault = false;
-  LinalgPromotionOptions &useFullTileBuffersByDefault() {
-    useFullTileBuffersDefault = true;
+  LinalgPromotionOptions &setUseFullTileBuffersByDefault(bool use) {
+    useFullTileBuffersDefault = use;
     return *this;
   }
   /// Allow the use of dynamicaly-sized buffers.

mlir/test/lib/Transforms/TestLinalgTransforms.cpp

@@ -158,14 +158,14 @@ static void applyPatterns(FuncOp funcOp) {
   // Linalg subview operands promotion.
   //===--------------------------------------------------------------------===//
   patterns.insert<LinalgPromotionPattern<MatmulOp>>(
-      ctx, LinalgPromotionOptions().useFullTileBuffersByDefault(),
+      ctx, LinalgPromotionOptions().setUseFullTileBuffersByDefault(true),
       LinalgMarker(Identifier::get("_promote_views_", ctx),
                    Identifier::get("_views_promoted_", ctx)));
   patterns.insert<LinalgPromotionPattern<MatmulOp>>(
       ctx,
       LinalgPromotionOptions()
           .setOperandsToPromote({0})
-          .useFullTileBuffersByDefault(),
+          .setUseFullTileBuffersByDefault(true),
       LinalgMarker(Identifier::get("_promote_first_view_", ctx),
                    Identifier::get("_first_view_promoted_", ctx)));
   patterns.insert<LinalgPromotionPattern<FillOp>>(
@@ -196,7 +196,7 @@ static void fillL1TilingAndMatmulToVectorPatterns(
                    Identifier::get("L1", ctx))));
 
   patternsVector.emplace_back(LinalgPromotionPattern<MatmulOp>(
-      ctx, LinalgPromotionOptions().useFullTileBuffersByDefault(),
+      ctx, LinalgPromotionOptions().setUseFullTileBuffersByDefault(true),
       LinalgMarker(Identifier::get("L1", ctx), Identifier::get("VEC", ctx))));
 
   patternsVector.emplace_back(LinalgVectorizationPattern<MatmulOp>(