[mlir][SCF] Pass result of getAsOpFoldResult to getBoundedTileSize.

A recent change modified the parameter tileSize from Value to
OpFoldResult. Therefore we should call getAsOpFoldResult before passing
on the tileSize.
Adjust a test regarding this new behavior.

Author: akuegel

mlir/lib/Dialect/SCF/Transforms/TileUsingInterface.cpp

@@ -172,8 +172,9 @@ static SmallVector<scf::ForOp> generateTileLoopNest(
         loc, offset, size, tileSize, ValueRange{},
         [&](OpBuilder &bodyBuilder, Location bodyLoc, Value iv,
             ValueRange /*iterArgs*/) {
-          sizes[loopRange.index()] = getBoundedTileSize(
-              bodyBuilder, bodyLoc, loopRange.value(), iv, tileSize);
+          sizes[loopRange.index()] =
+              getBoundedTileSize(bodyBuilder, bodyLoc, loopRange.value(), iv,
+                                 getAsOpFoldResult(tileSize));
           builder.create<scf::YieldOp>(loc);
         });
     offsets[loopRange.index()] = loop.getInductionVar();

mlir/test/Dialect/Tensor/tiling.mlir

@@ -150,14 +150,14 @@ transform.sequence failures(propagate) {
 //       CHECK:   %[[RESULT:.*]] = scf.for %[[IV:.*]] = %[[C0]] to %[[C15]] step %[[C3]] iter_args(%[[INNER_OUT:.*]] =
 //       CHECK:     %[[R2:.*]] = scf.if
 //       CHECK:       %[[GEN:.*]] = tensor.generate
-//       CHECK:       %[[cast_0:.*]] = tensor.cast %[[GEN]] : tensor<14x3xf32> to tensor<?x?xf32>
-//       CHECK:       scf.yield %[[cast_0]] : tensor<?x?xf32>
+//       CHECK:       %[[cast_0:.*]] = tensor.cast %[[GEN]] : tensor<14x3xf32> to tensor<?x3xf32>
+//       CHECK:       scf.yield %[[cast_0]] : tensor<?x3xf32>
 //       CHECK:     else
 //       CHECK:       %[[SLICE:.*]] = tensor.extract_slice %arg0[0, %{{.*}}] [7, %{{.*}}] [1, 1] : tensor<7x9xf32> to tensor<7x?xf32>
 //       CHECK:       %[[PAD:.*]] = tensor.pad %[[SLICE]] low[0, 0] high[7, %{{.*}}]
-//       CHECK:       %[[cast_1:.*]] = tensor.cast %[[PAD]] : tensor<14x?xf32> to tensor<?x?xf32>
-//       CHECK:       scf.yield %[[cast_1]] : tensor<?x?xf32>
-//       CHECK:     %[[cast:.*]] = tensor.cast %[[R2]] : tensor<?x?xf32> to tensor<14x3xf32>
+//       CHECK:       %[[cast_1:.*]] = tensor.cast %[[PAD]] : tensor<14x?xf32> to tensor<?x3xf32>
+//       CHECK:       scf.yield %[[cast_1]] : tensor<?x3xf32>
+//       CHECK:     %[[cast:.*]] = tensor.cast %[[R2]] : tensor<?x3xf32> to tensor<14x3xf32>
 //       CHECK:     %[[R3:.*]] = tensor.insert_slice %[[cast]] into %[[INNER_OUT]][0, %[[IV]]] [14, 3] [1, 1] : tensor<14x3xf32> into tensor<14x15xf32>
 //       CHECK:     scf.yield %[[R3]] : tensor<14x15xf32>
 //       CHECK:   return %[[RESULT]] : tensor<14x15xf32>