diff --git a/mlir/lib/Dialect/Tensor/IR/TensorTilingInterfaceImpl.cpp b/mlir/lib/Dialect/Tensor/IR/TensorTilingInterfaceImpl.cpp
index d5efe253ce351..34eec4cee052e 100644
--- a/mlir/lib/Dialect/Tensor/IR/TensorTilingInterfaceImpl.cpp
+++ b/mlir/lib/Dialect/Tensor/IR/TensorTilingInterfaceImpl.cpp
@@ -67,23 +67,6 @@ struct PadOpTiling : public TilingInterface::ExternalModel<PadOpTiling, PadOp> {
     resultSizes.assign(sizes.begin(), sizes.end());
     return success();
   }
-
-  LogicalResult getIterationDomainTileFromResultTile(
-      Operation *op, OpBuilder &b, unsigned resultNumber,
-      ArrayRef<OpFoldResult> offsets, ArrayRef<OpFoldResult> sizes,
-      SmallVectorImpl<OpFoldResult> &iterDomainOffsets,
-      SmallVectorImpl<OpFoldResult> &iterDomainSizes) const {
-    iterDomainOffsets.assign(offsets.begin(), offsets.end());
-    iterDomainSizes.assign(sizes.begin(), sizes.end());
-    return success();
-  }
-
-  FailureOr<TilingResult>
-  generateResultTileValue(Operation *op, OpBuilder &b, unsigned resultNumber,
-                          ArrayRef<OpFoldResult> offsets,
-                          ArrayRef<OpFoldResult> sizes) const {
-    return getTiledImplementation(op, b, offsets, sizes);
-  }
 };
 
 template <typename OpTy>
diff --git a/mlir/test/Dialect/Tensor/tiling.mlir b/mlir/test/Dialect/Tensor/tiling.mlir
index 193fbe93e0f9e..e02ab06a9d533 100644
--- a/mlir/test/Dialect/Tensor/tiling.mlir
+++ b/mlir/test/Dialect/Tensor/tiling.mlir
@@ -116,47 +116,6 @@ module attributes {transform.with_named_sequence} {
 
 // -----
 
-// CHECK-LABEL: func @fuse_static_pad_tensor_3_4(
-//  CHECK-SAME:     %[[IN:.*]]: tensor<7x9xf32>
-//   CHECK-DAG:   %[[C0:.*]] = arith.constant 0 : index
-//   CHECK-DAG:   %[[C2:.*]] = arith.constant 2 : index
-//   CHECK-DAG:   %[[C3:.*]] = arith.constant 3 : index
-//   CHECK-DAG:   %[[C15:.*]] = arith.constant 15 : index
-//   CHECK-DAG:   %[[C16:.*]] = arith.constant 16 : index
-//       CHECK:   %[[RESULT:.*]] = scf.for {{.*}} = %[[C0]] to %[[C15]] step %[[C2]]
-//       CHECK:     scf.for {{.*}} = %[[C0]] to %[[C16]] step %[[C3]] iter_args(%[[INNER_OUT:.*]] =
-//       CHECK:       %[[SWAP_RESULT:.*]] = scf.if
-//       CHECK:         tensor.generate
-//       CHECK:       else
-//       CHECK:         %[[SLICE:.*]] = tensor.extract_slice %[[IN]][{{.*}}, {{.*}}] [{{.*}}, {{.*}}] [1, 1]
-//       CHECK:         %[[PAD:.*]] = tensor.pad %[[SLICE]]
-//       CHECK:       %[[COPY:.*]] = linalg.copy ins(%[[SWAP_RESULT:.*]]
-//       CHECK:       tensor.insert_slice %[[COPY]] into %[[INNER_OUT]][{{.*}}, {{.*}}] [{{.*}}, {{.*}}] [1, 1]
-//       CHECK:   return %[[RESULT]]
-
-func.func @fuse_static_pad_tensor_3_4(%input_tensor: tensor<7x9xf32>,
-                        %pad_value: f32) -> tensor<15x16xf32> {
-  %0 = tensor.pad %input_tensor low[3, 4] high[5, 3] {
-    ^bb0(%arg1: index, %arg2: index):
-      tensor.yield %pad_value : f32
-    } : tensor<7x9xf32> to tensor<15x16xf32>
-  %empty = tensor.empty() : tensor<15x16xf32>
-  %1 = linalg.copy ins(%0 : tensor<15x16xf32>) outs(%empty : tensor<15x16xf32>) -> tensor<15x16xf32>
-  return %1 : tensor<15x16xf32>
-}
-
-module attributes {transform.with_named_sequence} {
-  transform.named_sequence @__transform_main(%arg1 : !transform.any_op {transform.readonly}) {
-    %copy = transform.structured.match ops{["linalg.copy"]} in %arg1
-      : (!transform.any_op) -> !transform.any_op
-    %a, %b, %c = transform.structured.fuse %copy [2, 3]
-      : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
-    transform.yield
-  }
-}
-
-// -----
-
 // CHECK-LABEL: func @static_pad_tensor_0_3(
 //  CHECK-SAME:     %[[IN:.*]]: tensor<7x9xf32>
 //   CHECK-DAG:   %[[C0:.*]] = arith.constant 0 : index