diff --git a/mlir/include/mlir/Dialect/Linalg/TransformOps/LinalgTransformOps.td b/mlir/include/mlir/Dialect/Linalg/TransformOps/LinalgTransformOps.td
index f9b94eef22446..8deb6ac90d39a 100644
--- a/mlir/include/mlir/Dialect/Linalg/TransformOps/LinalgTransformOps.td
+++ b/mlir/include/mlir/Dialect/Linalg/TransformOps/LinalgTransformOps.td
@@ -753,6 +753,7 @@ def PackOp : Op<Transform_Dialect, "structured.pack", [
 //===----------------------------------------------------------------------===//
 // PackGreedilyOp
 //===----------------------------------------------------------------------===//
+
 def PackGreedilyOp : Op<Transform_Dialect, "structured.pack_greedily", [
                         DeclareOpInterfaceMethods<TransformOpInterface>,
                         DeclareOpInterfaceMethods<MemoryEffectsOpInterface>,
@@ -861,6 +862,7 @@ def PackGreedilyOp : Op<Transform_Dialect, "structured.pack_greedily", [
 //===----------------------------------------------------------------------===//
 // PackTransposeOp
 //===----------------------------------------------------------------------===//
+
 def PackTransposeOp : Op<Transform_Dialect, "structured.pack_transpose", [
                          FunctionalStyleTransformOpTrait,
                          MemoryEffectsOpInterface,
@@ -1944,74 +1946,6 @@ def TileToForallOp :
   }];
 }
 
-//===----------------------------------------------------------------------===//
-// TileToScfForOp
-//===----------------------------------------------------------------------===//
-
-def TileToScfForOp : Op<Transform_Dialect, "structured.tile_to_scf_for",
-       [DeclareOpInterfaceMethods<TransformOpInterface>,
-        DeclareOpInterfaceMethods<MemoryEffectsOpInterface>,
-        ReportTrackingListenerFailuresOpTrait]> {
-  let description = [{
-    Indicates that the given `target` op should be tiled with the given sizes.
-    This transform generates a loop nest with a smaller ("tiled") target
-    operation in its body. The target must implement TilingInterface.
-
-    Tile sizes may be known at transformation time, in which case they are
-    expected to be provided in the `static_size` attribute, or not, in which
-    case the tile value must be computed by the payload IR and the handle to the
-    operation computing it must be provided through `dynamic_sizes`. When the
-    sizes are not known statically, the corresponding entry in the
-    `static_sizes` attribute must be set to `ShapedType::kDynamic`. Only
-    the dynamic sizes must be provided in `dynamic_sizes`, i.e., there should
-    be as many handles as `ShapedType::kDynamic` values in the
-    `static_sizes` attribute. A static size of `0` indicates that the dimension
-    should not be tiled. No loop will be generated for such dimensions. If all
-    tile sizes are `0`, this transform is effectively a no-op.
-
-    This op returns handles to the tiled op (in the generated loop nest) and the
-    generated loops. The number of loops is the number of tile sizes that are
-    statically known to be non-zero.
-
-    #### Return modes
-
-    On success, the resulting handles are associated with co-indexed lists of
-    tiled operations and loops around them.
-
-    This operation only supports TilingInterface ops and produces a silenceable
-    failure if the input contains any non-TilingInterface ops. The ops preceding
-    it in the list associated with the `target` handle will have been tiled.
-
-    This operation produces a silenceable failure if the `dynamic_sizes` handles
-    are associated with lists of payload operations of a size different than
-    that of the list associated with the `target` handle.
-
-    If the internal implementation of tiling for any of the operations fails,
-    produces a definite failure.
-  }];
-
-  let arguments = (ins TransformHandleTypeInterface:$target,
-                   Variadic<TransformHandleTypeInterface>:$dynamic_sizes,
-                   DefaultValuedOptionalAttr<DenseI64ArrayAttr, "{}">:$static_sizes,
-                   DefaultValuedOptionalAttr<DenseI64ArrayAttr, "{}">:$interchange);
-  let results = (outs TransformHandleTypeInterface:$tiled_linalg_op,
-                      Variadic<TransformHandleTypeInterface>:$loops);
-
-  let builders = [
-    OpBuilder<(ins "Value":$target,
-                   "ArrayRef<OpFoldResult>":$mixedTileSizes,
-                   CArg<"ArrayRef<int64_t>", "{}">:$interchange)>
-  ];
-
-  let hasCustomAssemblyFormat = 1;
-
-  let extraClassDeclaration = [{
-    /// Returns the list of tile sizes, which may be static (Attribute) or
-    /// dynamic (Value).
-    SmallVector<OpFoldResult> getMixedSizes();
-  }];
-}
-
 //===----------------------------------------------------------------------===//
 // VectorizeOp
 //===----------------------------------------------------------------------===//
diff --git a/mlir/lib/Dialect/Linalg/TransformOps/LinalgTransformOps.cpp b/mlir/lib/Dialect/Linalg/TransformOps/LinalgTransformOps.cpp
index cab646ebd4e22..1b2283c054c7d 100644
--- a/mlir/lib/Dialect/Linalg/TransformOps/LinalgTransformOps.cpp
+++ b/mlir/lib/Dialect/Linalg/TransformOps/LinalgTransformOps.cpp
@@ -2507,8 +2507,9 @@ transform::TileOp::apply(transform::TransformRewriter &rewriter,
 
     for (Operation *op : dynamicSizeProducers.back()) {
       if (op->getNumResults() == 1 &&
-          isa<IndexType>(op->getResult(0).getType()))
+          isa<IndexType>(op->getResult(0).getType())) {
         continue;
+      }
 
       DiagnosedSilenceableFailure diag =
           emitSilenceableError() << "expected sizes to be produced by ops "
@@ -2525,11 +2526,10 @@ transform::TileOp::apply(transform::TransformRewriter &rewriter,
   auto scalableSizes = getScalableSizes();
   for (auto [i, op] : llvm::enumerate(targets)) {
     auto tilingInterface = dyn_cast<TilingInterface>(op);
-    auto dpsInterface = dyn_cast<DestinationStyleOpInterface>(op);
-    if (!tilingInterface || !dpsInterface) {
+    if (!tilingInterface) {
       DiagnosedSilenceableFailure diag =
-          emitSilenceableError() << "only ops implementing TilingInterface and "
-                                    "DestinationStyleOpInterface are supported";
+          emitSilenceableError()
+          << "only ops implementing TilingInterface are supported";
       diag.attachNote(op->getLoc()) << "target op";
       return diag;
     }
@@ -2578,10 +2578,7 @@ transform::TileOp::apply(transform::TransformRewriter &rewriter,
     if (failed(maybeTilingResult))
       return DiagnosedSilenceableFailure::definiteFailure();
 
-    if (dpsInterface.hasBufferSemantics())
-      rewriter.eraseOp(op);
-    else
-      rewriter.replaceOp(op, maybeTilingResult->loops.front()->getResults());
+    rewriter.replaceOp(op, maybeTilingResult->replacements);
 
     tiled.append(maybeTilingResult->tiledOps);
     for (const auto &en2 : llvm::enumerate(maybeTilingResult->loops))
@@ -2895,204 +2892,6 @@ LogicalResult TileToForallOp::verify() {
   return success();
 }
 
-//===----------------------------------------------------------------------===//
-// TileToScfForOp
-//===----------------------------------------------------------------------===//
-
-void transform::TileToScfForOp::build(OpBuilder &builder,
-                                      OperationState &result, Value target,
-                                      ArrayRef<OpFoldResult> mixedTileSizes,
-                                      ArrayRef<int64_t> interchange) {
-  SmallVector<int64_t> staticTileSizes;
-  SmallVector<Value> dynamicTileSizes;
-  dispatchIndexOpFoldResults(mixedTileSizes, dynamicTileSizes, staticTileSizes);
-  // Call the default builder which sets up the proper operands segment sizes
-  // attributes for multiple variadic operands. In the absence of this,
-  // horrible bugs ensue.
-  auto staticTileSizesAttr = builder.getDenseI64ArrayAttr(staticTileSizes);
-  int64_t numExpectedLoops =
-      staticTileSizes.size() - llvm::count(staticTileSizes, 0);
-  SmallVector<Type> resultTypes(
-      numExpectedLoops, transform::AnyOpType::get(builder.getContext()));
-  build(builder, result,
-        /*tiled_linalg_op=*/target.getType(),
-        /*loops=*/resultTypes,
-        /*target=*/target,
-        /*dynamic_sizes=*/dynamicTileSizes,
-        /*static_sizes=*/staticTileSizesAttr,
-        /*interchange=*/builder.getDenseI64ArrayAttr(interchange));
-}
-
-DiagnosedSilenceableFailure
-transform::TileToScfForOp::apply(transform::TransformRewriter &rewriter,
-                                 TransformResults &transformResults,
-                                 TransformState &state) {
-  ArrayRef<int64_t> tileSizes = getStaticSizes();
-
-  SmallVector<Operation *> targets =
-      llvm::to_vector(state.getPayloadOps(getTarget()));
-  SmallVector<SmallVector<Operation *>> dynamicSizeProducers;
-  dynamicSizeProducers.reserve(getDynamicSizes().size());
-  for (Value dynamicSizeProducerHandle : getDynamicSizes()) {
-    dynamicSizeProducers.push_back(
-        llvm::to_vector(state.getPayloadOps(dynamicSizeProducerHandle)));
-
-    if (dynamicSizeProducers.back().size() != targets.size()) {
-      DiagnosedSilenceableFailure diag =
-          emitSilenceableError()
-          << "expected as many dynamic size-producing operations ("
-          << dynamicSizeProducers.back().size() << ") as target ops ("
-          << targets.size() << ")";
-      diag.attachNote(dynamicSizeProducerHandle.getLoc()) << "for this handle";
-      return diag;
-    }
-
-    for (Operation *op : dynamicSizeProducers.back()) {
-      if (op->getNumResults() == 1 &&
-          isa<IndexType>(op->getResult(0).getType()))
-        continue;
-      DiagnosedSilenceableFailure diag =
-          emitSilenceableError() << "expected sizes to be produced by ops "
-                                    "with a single index-type result";
-      diag.attachNote(op->getLoc()) << "size producer op";
-      diag.attachNote(dynamicSizeProducerHandle.getLoc()) << "for this handle";
-      return diag;
-    }
-  }
-
-  SmallVector<Operation *> tiled;
-  SmallVector<SmallVector<Operation *, 4>, 4> loops;
-  loops.resize(getLoops().size());
-  for (auto en : llvm::enumerate(targets)) {
-    auto tilingInterfaceOp = dyn_cast<TilingInterface>(en.value());
-    if (!tilingInterfaceOp) {
-      DiagnosedSilenceableFailure diag =
-          emitSilenceableError() << "only TilingInterface ops are supported";
-      diag.attachNote(en.value()->getLoc()) << "target op";
-      return diag;
-    }
-
-    scf::SCFTilingOptions tilingOptions;
-    unsigned index = en.index();
-    if (!tileSizes.empty()) {
-      tilingOptions.setTileSizeComputationFunction(
-          [&, index](OpBuilder &b, Operation *) {
-            SmallVector<Value, 4> sizes;
-            sizes.reserve(tileSizes.size());
-            unsigned dynamicIdx = 0;
-            for (OpFoldResult ofr : getMixedSizes()) {
-              if (auto attr = llvm::dyn_cast_if_present<Attribute>(ofr)) {
-                sizes.push_back(b.create<arith::ConstantIndexOp>(
-                    getLoc(), cast<IntegerAttr>(attr).getInt()));
-              } else {
-                sizes.push_back(
-                    dynamicSizeProducers[dynamicIdx++][index]->getResult(0));
-              }
-            }
-            return sizes;
-          });
-    }
-
-    tilingOptions.setInterchange(getInterchange());
-    FailureOr<scf::SCFTilingResult> tilingResult =
-        tileUsingSCFForOp(rewriter, tilingInterfaceOp, tilingOptions);
-    if (failed(tilingResult))
-      return DiagnosedSilenceableFailure::definiteFailure();
-
-    rewriter.replaceOp(tilingInterfaceOp, tilingResult->replacements);
-
-    tiled.append(tilingResult->tiledOps);
-    for (const auto &en2 : llvm::enumerate(tilingResult->loops))
-      loops[en2.index()].push_back(en2.value());
-  }
-
-  transformResults.set(cast<OpResult>(getTiledLinalgOp()), tiled);
-  for (const auto &en : llvm::enumerate(loops))
-    transformResults.set(cast<OpResult>(getLoops()[en.index()]), en.value());
-
-  return DiagnosedSilenceableFailure::success();
-}
-
-SmallVector<OpFoldResult> transform::TileToScfForOp::getMixedSizes() {
-  ValueRange dynamic = getDynamicSizes();
-  ArrayRef<int64_t> tileSizes = getStaticSizes();
-  SmallVector<OpFoldResult> results;
-  results.reserve(tileSizes.size());
-  unsigned dynamicPos = 0;
-  Builder builder(getContext());
-  for (int64_t size : tileSizes) {
-    if (size == ShapedType::kDynamic) {
-      results.push_back(dynamic[dynamicPos++]);
-    } else {
-      results.push_back(builder.getIndexAttr(size));
-    }
-  }
-  return results;
-}
-
-ParseResult transform::TileToScfForOp::parse(OpAsmParser &parser,
-                                             OperationState &result) {
-  OpAsmParser::UnresolvedOperand target;
-  SmallVector<OpAsmParser::UnresolvedOperand> dynamicSizes;
-  DenseI64ArrayAttr staticSizes;
-  FunctionType trailingType;
-  llvm::SMLoc typeLoc;
-  if (parser.parseOperand(target) ||
-      parseDynamicIndexList(parser, dynamicSizes, staticSizes) ||
-      parseOptionalInterchange(parser, result) ||
-      parser.parseOptionalAttrDict(result.attributes) ||
-      parser.getCurrentLocation(&typeLoc) ||
-      parser.parseColonType(trailingType)) {
-    return ParseResult::failure();
-  }
-
-  result.addAttribute(getStaticSizesAttrName(result.name), staticSizes);
-  size_t numExpectedLoops =
-      staticSizes.size() - llvm::count(staticSizes.asArrayRef(), 0);
-
-  unsigned numExpectedInputTypes = 1 + dynamicSizes.size();
-  if (trailingType.getNumInputs() != numExpectedInputTypes) {
-    return parser.emitError(typeLoc)
-           << "expected " << numExpectedInputTypes << " operand types, got "
-           << trailingType.getNumInputs();
-  }
-
-  unsigned numExpectedOutputTypes = 1 + numExpectedLoops;
-  if (trailingType.getNumResults() != numExpectedOutputTypes) {
-    return parser.emitError(typeLoc)
-           << "expected " << numExpectedOutputTypes << " result types, got "
-           << trailingType.getNumResults();
-  }
-
-  if (parser.resolveOperand(target, trailingType.getInput(0),
-                            result.operands) ||
-      parser.resolveOperands(dynamicSizes,
-                             trailingType.getInputs().drop_front(), typeLoc,
-                             result.operands) ||
-      parser.addTypesToList(trailingType.getResults(), result.types)) {
-    return failure();
-  }
-  return success();
-}
-
-void TileToScfForOp::print(OpAsmPrinter &p) {
-  p << ' ' << getTarget();
-  printDynamicIndexList(p, getOperation(), getDynamicSizes(), getStaticSizes());
-  printOptionalInterchange(p, getInterchange());
-  p.printOptionalAttrDict(getOperation()->getAttrs(), getAttributeNames());
-  p << " : ";
-  p.printFunctionalType(getOperation());
-}
-
-void transform::TileToScfForOp::getEffects(
-    SmallVectorImpl<MemoryEffects::EffectInstance> &effects) {
-  consumesHandle(getTarget(), effects);
-  onlyReadsHandle(getDynamicSizes(), effects);
-  producesHandle(getTiledLinalgOp(), effects);
-  producesHandle(getLoops(), effects);
-  modifiesPayload(effects);
-}
-
 //===----------------------------------------------------------------------===//
 // VectorizeOp
 //===----------------------------------------------------------------------===//
diff --git a/mlir/test/Dialect/Linalg/generalize-tensor-pack-tile.mlir b/mlir/test/Dialect/Linalg/generalize-tensor-pack-tile.mlir
index ffc0c28ffa8a6..133815120cc04 100644
--- a/mlir/test/Dialect/Linalg/generalize-tensor-pack-tile.mlir
+++ b/mlir/test/Dialect/Linalg/generalize-tensor-pack-tile.mlir
@@ -27,7 +27,7 @@ func.func @KCRS_to_KCRSsr(%arg0: tensor<1x1x128x64xf32>, %arg1: tensor<1x1x4x8x8
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.pack"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loops:4 = transform.structured.tile_to_scf_for %0 [1, 1, 1, 1] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op)
+    %1, %loops:4 = transform.structured.tile %0 [1, 1, 1, 1] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op)
 }
 
 // -----
@@ -56,7 +56,7 @@ func.func @pad_and_pack(%arg0: tensor<13x15xf32>, %arg1: tensor<2x8x8x2xf32>, %a
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.pack"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loops:2 = transform.structured.tile_to_scf_for %0 [1, 1] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
+    %1, %loops:2 = transform.structured.tile %0 [1, 1] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 }
 
 // -----
@@ -89,5 +89,5 @@ func.func @KC_to_CKkc(%arg0: tensor<128x256xf32>, %arg1: tensor<32x4x32x8xf32>)
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.pack"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loops:2 = transform.structured.tile_to_scf_for %0 [1, 1] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
+    %1, %loops:2 = transform.structured.tile %0 [1, 1] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 }
diff --git a/mlir/test/Dialect/Linalg/generalize-tensor-unpack-tile.mlir b/mlir/test/Dialect/Linalg/generalize-tensor-unpack-tile.mlir
index 6e2933daf5e7f..22723c267eecb 100644
--- a/mlir/test/Dialect/Linalg/generalize-tensor-unpack-tile.mlir
+++ b/mlir/test/Dialect/Linalg/generalize-tensor-unpack-tile.mlir
@@ -8,7 +8,7 @@ func.func @KCRSsr_to_KCRS(%arg0: tensor<1x1x4x8x8x32xf32>, %arg1: tensor<1x1x128
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.unpack"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loops:4 = transform.structured.tile_to_scf_for %0 [1, 1, 32, 8] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op)
+    %1, %loops:4 = transform.structured.tile %0 [1, 1, 32, 8] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op)
 }
 // CHECK-DAG:   #[[MAP0:.+]] = affine_map<(d0) -> (d0 floordiv 32)>
 // CHECK-DAG:   #[[MAP1:.+]] = affine_map<(d0) -> (d0 floordiv 8)>
@@ -70,7 +70,7 @@ func.func @unpack_and_extract_slice(%arg0: tensor<2x8x8x2xf32>, %arg1: tensor<13
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.unpack"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loops:2 = transform.structured.tile_to_scf_for %0 [8, 2] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
+    %1, %loops:2 = transform.structured.tile %0 [8, 2] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 }
 
 // -----
@@ -104,5 +104,5 @@ func.func @CKkc_to_KC(%arg0: tensor<32x4x32x8xf32>, %arg1: tensor<128x256xf32>)
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.unpack"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loops:2 = transform.structured.tile_to_scf_for %0 [32, 8] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
+    %1, %loops:2 = transform.structured.tile %0 [32, 8] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 }
diff --git a/mlir/test/Dialect/Linalg/masked_vectorization.mlir b/mlir/test/Dialect/Linalg/masked_vectorization.mlir
index 0be10ad28e143..8797d847c43a9 100644
--- a/mlir/test/Dialect/Linalg/masked_vectorization.mlir
+++ b/mlir/test/Dialect/Linalg/masked_vectorization.mlir
@@ -22,9 +22,9 @@ transform.sequence  failures(propagate) {
 ^bb0(%module: !transform.any_op):
   %0 = transform.structured.match ops{["linalg.matmul"]} in %module 
     : (!transform.any_op) -> !transform.any_op
-  %tiled_linalg_op, %loops:3 = transform.structured.tile_to_scf_for %0[64, 128, 256] 
+  %tiled_linalg_op, %loops:3 = transform.structured.tile %0[64, 128, 256] 
     : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op)
-  %tiled_linalg_op_0, %loops_1:3 = transform.structured.tile_to_scf_for %tiled_linalg_op[8, 8, 8] 
+  %tiled_linalg_op_0, %loops_1:3 = transform.structured.tile %tiled_linalg_op[8, 8, 8] 
     : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op)
   transform.structured.masked_vectorize %tiled_linalg_op_0 vector_sizes [8, 8, 8] 
     : !transform.any_op
diff --git a/mlir/test/Dialect/Linalg/transform-op-hoist-pad-build-packing-loop-nest.mlir b/mlir/test/Dialect/Linalg/transform-op-hoist-pad-build-packing-loop-nest.mlir
index 20772029cbf2e..c2220c945f9a6 100644
--- a/mlir/test/Dialect/Linalg/transform-op-hoist-pad-build-packing-loop-nest.mlir
+++ b/mlir/test/Dialect/Linalg/transform-op-hoist-pad-build-packing-loop-nest.mlir
@@ -15,7 +15,7 @@ transform.sequence failures(propagate) {
   %matmul = transform.structured.match ops{["linalg.matmul"]} in %arg1
     : (!transform.any_op) -> !transform.any_op
 
-  %matmul_l1, %loops_l1 = transform.structured.tile_to_scf_for %matmul [5] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
+  %matmul_l1, %loops_l1 = transform.structured.tile %matmul [5] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
 
   %matmul_padded, %0, %copy_back = transform.structured.pad %matmul_l1 {
     padding_values=[0.0: f32, 0.0 : f32, 0.0 : f32],
@@ -47,7 +47,7 @@ transform.sequence failures(propagate) {
   %matmul = transform.structured.match ops{["linalg.matmul"]} in %arg1
     : (!transform.any_op) -> !transform.any_op
 
-  %matmul_l1, %loops_l1 = transform.structured.tile_to_scf_for %matmul [5] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
+  %matmul_l1, %loops_l1 = transform.structured.tile %matmul [5] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
 
   %matmul_padded, %0, %copy_back = transform.structured.pad %matmul_l1 {
     padding_values=[0.0: f32, 0.0 : f32, 0.0 : f32],
@@ -85,7 +85,7 @@ transform.sequence failures(propagate) {
   %matmul = transform.structured.match ops{["linalg.matmul"]} in %arg1
     : (!transform.any_op) -> !transform.any_op
 
-  %matmul_l1, %loops_l1 = transform.structured.tile_to_scf_for %matmul [5] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
+  %matmul_l1, %loops_l1 = transform.structured.tile %matmul [5] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
 
   %matmul_padded, %0, %copy_back = transform.structured.pad %matmul_l1 {
     padding_values=[0.0: f32, 0.0 : f32, 0.0 : f32],
@@ -123,7 +123,7 @@ transform.sequence failures(propagate) {
   %matmul = transform.structured.match ops{["linalg.matmul"]} in %arg1
     : (!transform.any_op) -> !transform.any_op
 
-  %matmul_l1, %loops_l1 = transform.structured.tile_to_scf_for %matmul [5] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
+  %matmul_l1, %loops_l1 = transform.structured.tile %matmul [5] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
 
   %matmul_padded, %0, %copy_back = transform.structured.pad %matmul_l1 {
     padding_values=[0.0: f32, 0.0 : f32, 0.0 : f32],
@@ -159,7 +159,7 @@ transform.sequence failures(propagate) {
   %matmul = transform.structured.match ops{["linalg.matmul"]} in %arg1
     : (!transform.any_op) -> !transform.any_op
 
-  %matmul_l1, %loops_l1:2 = transform.structured.tile_to_scf_for %matmul [5, 0, 7] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
+  %matmul_l1, %loops_l1:2 = transform.structured.tile %matmul [5, 0, 7] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 
   %matmul_padded, %0, %copy_back = transform.structured.pad %matmul_l1 {
     padding_values=[0.0: f32, 0.0 : f32, 0.0 : f32],
diff --git a/mlir/test/Dialect/Linalg/transform-op-hoist-pad.mlir b/mlir/test/Dialect/Linalg/transform-op-hoist-pad.mlir
index 2a12dfb6b2987..6813004435cfb 100644
--- a/mlir/test/Dialect/Linalg/transform-op-hoist-pad.mlir
+++ b/mlir/test/Dialect/Linalg/transform-op-hoist-pad.mlir
@@ -15,7 +15,7 @@ transform.sequence failures(propagate) {
     : (!transform.any_op) -> !transform.any_op
 
 
-  %matmul_l1, %loops_l1 = transform.structured.tile_to_scf_for %matmul [5] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
+  %matmul_l1, %loops_l1 = transform.structured.tile %matmul [5] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
 
   %matmul_padded, %0, %copy_back = transform.structured.pad %matmul_l1 {
     padding_values=[0.0: f32, 0.0 : f32, 0.0 : f32],
@@ -51,7 +51,7 @@ transform.sequence failures(propagate) {
     : (!transform.any_op) -> !transform.any_op
 
 
-  %matmul_l1, %loops_l1 = transform.structured.tile_to_scf_for %matmul [5] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
+  %matmul_l1, %loops_l1 = transform.structured.tile %matmul [5] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
 
   %matmul_padded, %0, %copy_back = transform.structured.pad %matmul_l1 {
     padding_values=[0.0: f32, 0.0 : f32, 0.0 : f32],
@@ -94,7 +94,7 @@ transform.sequence failures(propagate) {
     : (!transform.any_op) -> !transform.any_op
 
 
-  %matmul_l1, %loops_l1 = transform.structured.tile_to_scf_for %matmul [5] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
+  %matmul_l1, %loops_l1 = transform.structured.tile %matmul [5] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
 
   %matmul_padded, %0, %copy_back = transform.structured.pad %matmul_l1 {
     padding_values=[0.0: f32, 0.0 : f32, 0.0 : f32],
@@ -139,7 +139,7 @@ transform.sequence failures(propagate) {
     : (!transform.any_op) -> !transform.any_op
 
 
-  %matmul_l1, %loops_l1 = transform.structured.tile_to_scf_for %matmul [5] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
+  %matmul_l1, %loops_l1 = transform.structured.tile %matmul [5] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
 
   %matmul_padded, %0, %copy_back = transform.structured.pad %matmul_l1 {
     padding_values=[0.0: f32, 0.0 : f32, 0.0 : f32],
@@ -183,7 +183,7 @@ transform.sequence failures(propagate) {
     : (!transform.any_op) -> !transform.any_op
 
 
-  %matmul_l1, %loops_l1:2 = transform.structured.tile_to_scf_for %matmul [5, 0, 7] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
+  %matmul_l1, %loops_l1:2 = transform.structured.tile %matmul [5, 0, 7] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 
   %matmul_padded, %0, %copy_back = transform.structured.pad %matmul_l1 {
     padding_values=[0.0: f32, 0.0 : f32, 0.0 : f32],
diff --git a/mlir/test/Dialect/Linalg/transform-ops-invalid.mlir b/mlir/test/Dialect/Linalg/transform-ops-invalid.mlir
index 8f22f718c6755..5143be3930663 100644
--- a/mlir/test/Dialect/Linalg/transform-ops-invalid.mlir
+++ b/mlir/test/Dialect/Linalg/transform-ops-invalid.mlir
@@ -71,19 +71,3 @@ transform.sequence failures(propagate) {
     : (!transform.any_op) -> !transform.op<"linalg.generic">
 
 }
-
-// -----
-
-transform.sequence failures(propagate) {
-^bb0(%arg0: !transform.any_op):
-  // expected-error @below {{expected 4 result types, got 2}}
-  transform.structured.tile_to_scf_for %arg0 [1, 2, 3] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
-}
-
-// -----
-
-transform.sequence failures(propagate) {
-^bb0(%arg0: !transform.any_op, %arg1: !transform.any_op):
-  // expected-error @below {{expected 2 operand types, got 1}}
-  transform.structured.tile_to_scf_for %arg0 [%arg1] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
-}
diff --git a/mlir/test/Dialect/Tensor/tiling.mlir b/mlir/test/Dialect/Tensor/tiling.mlir
index 4286a5464322a..433866e95f8b9 100644
--- a/mlir/test/Dialect/Tensor/tiling.mlir
+++ b/mlir/test/Dialect/Tensor/tiling.mlir
@@ -34,7 +34,7 @@ func.func @dynamic_pad_tensor_3_4(%input_tensor: tensor<?x?xf32>,
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.pad"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loops:2 = transform.structured.tile_to_scf_for %0 [2, 3] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
+    %1, %loops:2 = transform.structured.tile %0 [2, 3] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 }
 
 // -----
@@ -71,7 +71,7 @@ func.func @dynamic_pad_tensor_0_3(%input_tensor: tensor<?x?xf32>,
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.pad"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loop = transform.structured.tile_to_scf_for %0 [0, 3] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
+    %1, %loop = transform.structured.tile %0 [0, 3] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
 }
 
 // -----
@@ -105,7 +105,7 @@ func.func @static_pad_tensor_3_4(%input_tensor: tensor<7x9xf32>,
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.pad"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loops:2 = transform.structured.tile_to_scf_for %0 [2, 3] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
+    %1, %loops:2 = transform.structured.tile %0 [2, 3] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 }
 
 // -----
@@ -137,7 +137,7 @@ func.func @static_pad_tensor_0_3(%input_tensor: tensor<7x9xf32>,
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.pad"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loop = transform.structured.tile_to_scf_for %0 [0, 3] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
+    %1, %loop = transform.structured.tile %0 [0, 3] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
 }
 
 // -----
@@ -175,7 +175,7 @@ func.func @static_pad_tile_evenly_0_3(%input_tensor: tensor<7x9xf32>,
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.pad"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loop = transform.structured.tile_to_scf_for %0 [0, 3] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
+    %1, %loop = transform.structured.tile %0 [0, 3] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
 }
 
 // -----
@@ -211,7 +211,7 @@ func.func @NC_to_NCnc(%arg0: tensor<128x256xf32>, %arg1: tensor<4x8x32x32xf32>)
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.pack"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loops:2 = transform.structured.tile_to_scf_for %0 [2, 4] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
+    %1, %loops:2 = transform.structured.tile %0 [2, 4] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 }
 
 // -----
@@ -239,7 +239,7 @@ func.func @KC_to_CKkc(%arg0: tensor<128x256xf32>, %arg1: tensor<32x4x32x8xf32>)
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.pack"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loops:2 = transform.structured.tile_to_scf_for %0 [2, 4] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
+    %1, %loops:2 = transform.structured.tile %0 [2, 4] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 }
 
 // -----
@@ -274,7 +274,7 @@ func.func @pad_and_pack_static(%input: tensor<13x15xf32>, %output: tensor<2x8x8x
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.pack"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loops:2 = transform.structured.tile_to_scf_for %0 [2, 4] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
+    %1, %loops:2 = transform.structured.tile %0 [2, 4] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 }
 
 // -----
@@ -323,7 +323,7 @@ func.func @pad_and_pack_partially_dynamic(%input: tensor<?x?xf32>, %output: tens
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.pack"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loops:2 = transform.structured.tile_to_scf_for %0 [2, 4] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
+    %1, %loops:2 = transform.structured.tile %0 [2, 4] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 }
 
 // -----
@@ -377,7 +377,7 @@ func.func @pad_and_pack_fully_dynamic(%source: tensor<?x?xf32>, %dest: tensor<?x
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.pack"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loops:2 = transform.structured.tile_to_scf_for %0 [2, 4] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
+    %1, %loops:2 = transform.structured.tile %0 [2, 4] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 }
 
 // -----
@@ -424,7 +424,7 @@ func.func @NCnc_to_NC(%source: tensor<8x8x32x16xf32>, %dest: tensor<256x128xf32>
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.unpack"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loops:2 = transform.structured.tile_to_scf_for %0 [2, 4] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
+    %1, %loops:2 = transform.structured.tile %0 [2, 4] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 }
 
 // -----
@@ -470,7 +470,7 @@ func.func @CKkc_to_KC(%source: tensor<32x4x32x8xf32>, %dest: tensor<128x256xf32>
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.unpack"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loops:2 = transform.structured.tile_to_scf_for %0 [2, 4] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
+    %1, %loops:2 = transform.structured.tile %0 [2, 4] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 }
 
 // -----
@@ -506,7 +506,7 @@ func.func @perfect_CKkc_to_KC(%source: tensor<32x4x2x4xf32>, %dest: tensor<8x128
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.unpack"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loops:2 = transform.structured.tile_to_scf_for %0 [2, 4] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
+    %1, %loops:2 = transform.structured.tile %0 [2, 4] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 }
 
 // -----
@@ -548,7 +548,7 @@ func.func @dynamic_perfect_CKkc_to_KC(%source: tensor<?x?x2x2xf32>, %dest: tenso
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.unpack"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loops:2 = transform.structured.tile_to_scf_for %0 [2, 4] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
+    %1, %loops:2 = transform.structured.tile %0 [2, 4] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 }
 
 // -----
@@ -583,7 +583,7 @@ func.func @perfect_NKPQk_to_NPQK(%source: tensor<1x4x6x6x2xf32>, %dest: tensor<1
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.unpack"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loops:4 = transform.structured.tile_to_scf_for %0 [1, 1, 1, 4] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op)
+    %1, %loops:4 = transform.structured.tile %0 [1, 1, 1, 4] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op)
 }
 
 // -----
@@ -609,7 +609,7 @@ func.func @fully_dynamic_unpack(%source: tensor<?x?x?x?xf32>, %dest: tensor<?x?x
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.unpack"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loops:2 = transform.structured.tile_to_scf_for %0 [4, 8] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
+    %1, %loops:2 = transform.structured.tile %0 [4, 8] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 }
 
 // -----
@@ -643,5 +643,5 @@ func.func @perfect_NPQK_to_NKPQk(%source: tensor<1x6x6x8xf32>, %dest: tensor<1x4
 transform.sequence failures(propagate) {
   ^bb0(%arg1: !transform.any_op):
     %0 = transform.structured.match ops{["tensor.pack"]} in %arg1 : (!transform.any_op) -> !transform.any_op
-    %1, %loops:4 = transform.structured.tile_to_scf_for %0 [1, 1, 1, 1] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op)
+    %1, %loops:4 = transform.structured.tile %0 [1, 1, 1, 1] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op)
 }