diff --git a/mlir/lib/Dialect/Linalg/Transforms/SplitReduction.cpp b/mlir/lib/Dialect/Linalg/Transforms/SplitReduction.cpp
--- a/mlir/lib/Dialect/Linalg/Transforms/SplitReduction.cpp
+++ b/mlir/lib/Dialect/Linalg/Transforms/SplitReduction.cpp
@@ -15,6 +15,7 @@
 
 #include "mlir/Analysis/SliceAnalysis.h"
 #include "mlir/Dialect/Arithmetic/IR/Arithmetic.h"
+#include "mlir/Dialect/Bufferization/IR/Bufferization.h"
 #include "mlir/Dialect/Linalg/IR/Linalg.h"
 #include "mlir/Dialect/Linalg/Transforms/Transforms.h"
 #include "mlir/Dialect/Linalg/Utils/Utils.h"
@@ -171,11 +172,14 @@
     outputExpr.push_back(
         b.getAffineDimExpr(dim < insertSplitDimension ? dim : dim + 1));
   }
-  Value initTensor = b.create<linalg::InitTensorOp>(
-      loc, newOutputShape, op.getRegionOutputArgs()[0].getType());
+  Value allocTensor = b.create<bufferization::AllocTensorOp>(
+      loc,
+      RankedTensorType::get(newOutputShape,
+                            op.getRegionOutputArgs()[0].getType()),
+      ValueRange{});
   Value constantOp = b.create<arith::ConstantOp>(loc, identity);
   Value identityTensor =
-      b.create<linalg::FillOp>(op->getLoc(), constantOp, initTensor)
+      b.create<linalg::FillOp>(op->getLoc(), constantOp, allocTensor)
           .getResult(0);
 
   newMaps.push_back(AffineMap::get(oldOutputMap.getNumDims() + 1, 0, outputExpr,
@@ -189,7 +193,7 @@
   // Create the new op matching the original op with an extra parallel
   // dimension.
   GenericOp genericOp = b.create<GenericOp>(
-      loc, TypeRange({initTensor.getType()}), newInputs,
+      loc, TypeRange({allocTensor.getType()}), newInputs,
       ValueRange({identityTensor}), newMaps, newIteratorTypes);
   b.inlineRegionBefore(op->getRegion(0), genericOp.region(),
                        genericOp.region().begin());
@@ -297,7 +301,7 @@
     return b.notifyMatchFailure(op, "unknown reduction neutral");
 
   // TODO: relax this when multi-reduction support is available.
-  if (op.getNumOutputs() != neutralElements.size())
+  if (op.getNumOutputs() != (int)neutralElements.size())
     return b.notifyMatchFailure(op, "expect one reduction per output");
 
   // Rewrite part.
@@ -327,8 +331,7 @@
         reductionDimSize / splitFactor, insertSplitDimension);
     SmallVector<Value> dims =
         tensor::createDynamicDimValues(b, loc, rankedTensor);
-    Value initTensor = b.create<linalg::InitTensorOp>(
-        loc, dims, newT.getShape(), t.getElementType());
+    Value initTensor = b.create<bufferization::AllocTensorOp>(loc, newT, dims);
     Value constantOp = b.create<arith::ConstantOp>(loc, std::get<1>(it));
     fillOps.push_back(
         b.create<linalg::FillOp>(op->getLoc(), constantOp, initTensor));
diff --git a/mlir/test/Dialect/Linalg/split_reduction.mlir b/mlir/test/Dialect/Linalg/split_reduction.mlir
--- a/mlir/test/Dialect/Linalg/split_reduction.mlir
+++ b/mlir/test/Dialect/Linalg/split_reduction.mlir
@@ -15,7 +15,7 @@
 //  CHECK-DAG: %[[ID:.*]] = arith.constant 0.000000e+00 : f32
 //  CHECK-DAG: %[[I1:.*]] = tensor.expand_shape %{{.*}}[0], [1, 2]] : tensor<16x256xf32> into tensor<16x4x64xf32>
 //  CHECK-DAG: %[[I2:.*]] = tensor.expand_shape %{{.*}}[0, 1], [2]] : tensor<256x32xf32> into tensor<4x64x32xf32>
-//  CHECK-DAG: %[[INI:.*]] = linalg.init_tensor [16, 32, 4] : tensor<16x32x4xf32>
+//  CHECK-DAG: %[[INI:.*]] = bufferization.alloc_tensor() : tensor<16x32x4xf32>
 //      CHECK: %[[F:.*]] = linalg.fill ins(%[[ID]] : f32) outs(%[[INI]] : tensor<16x32x4xf32>) -> tensor<16x32x4xf32>
 //      CHECK: %[[G:.*]] = linalg.generic {indexing_maps = [#[[$MAP0]], #[[$MAP1]], #[[$MAP2]]]
 // CHECK-SAME:   , iterator_types = ["parallel", "parallel", "parallel", "reduction"]}
@@ -57,7 +57,7 @@
 //CHECK-LABEL: @generic_split_1d
 //      CHECK: %[[ID:.*]] = arith.constant 1.000000e+00 : f32
 //      CHECK: %[[I1:.*]] = tensor.expand_shape %{{.*}}[0, 1]] : tensor<32xf32> into tensor<4x8xf32>
-//      CHECK: %[[INI:.*]] = linalg.init_tensor [4] : tensor<4xf32>
+//      CHECK: %[[INI:.*]] = bufferization.alloc_tensor() : tensor<4xf32>
 //      CHECK: %[[F:.*]] = linalg.fill ins(%[[ID]] : f32) outs(%[[INI]] : tensor<4xf32>) -> tensor<4xf32>
 //      CHECK: %[[G:.*]] = linalg.generic
 //      CHECK:   {indexing_maps = [#[[$MAP0]], #[[$MAP1]], #[[$MAP2]]],
@@ -103,7 +103,7 @@
 //      CHECK: %[[ID:.*]] = arith.constant -3.40282347E+38 : f32
 //  CHECK-DAG: %[[I1:.*]] = tensor.expand_shape %{{.*}}[0, 1], [2]] : tensor<32x2xf32> into tensor<4x8x2xf32>
 //  CHECK-DAG: %[[I2:.*]] = tensor.expand_shape %{{.*}}[0], [1, 2]] : tensor<5x32xf32> into tensor<5x4x8xf32>
-//      CHECK: %[[INI:.*]] = linalg.init_tensor [5, 2, 4] : tensor<5x2x4xf32>
+//      CHECK: %[[INI:.*]] = bufferization.alloc_tensor() : tensor<5x2x4xf32>
 //      CHECK: %[[F:.*]] = linalg.fill ins(%[[ID]] : f32) outs(%[[INI]] : tensor<5x2x4xf32>) -> tensor<5x2x4xf32>
 //      CHECK: %[[G:.*]] = linalg.generic {indexing_maps = [#[[$MAP0]], #[[$MAP1]], #[[$MAP2]]], iterator_types = ["parallel", "reduction", "parallel", "parallel"]}
 // CHECK-SAME:   ins(%[[I1]], %[[I2]] : tensor<4x8x2xf32>, tensor<5x4x8xf32>) outs(%[[F]] : tensor<5x2x4xf32>) {
diff --git a/mlir/test/Dialect/Linalg/transform-op-split-reduction-by-scaling.mlir b/mlir/test/Dialect/Linalg/transform-op-split-reduction-by-scaling.mlir
--- a/mlir/test/Dialect/Linalg/transform-op-split-reduction-by-scaling.mlir
+++ b/mlir/test/Dialect/Linalg/transform-op-split-reduction-by-scaling.mlir
@@ -3,6 +3,7 @@
 // CHECK-LABEL: func.func @matmul_split
 func.func @matmul_split(%A : tensor<?x256xf32>, %B: tensor<256x32xf32>, %C: tensor<?x32xf32>) -> tensor<?x32xf32> {
 
+  //      CHECK: bufferization.alloc_tensor({{.*}}) : tensor<?x32x64xf32>
   //      CHECK: linalg.generic 
   // CHECK-SAME: iterator_types = ["parallel", "parallel", "parallel", "reduction"]
   // CHECK-SAME: ins(%{{[a-zA-Z0-9]*}}, %{{[a-zA-Z0-9]*}}, %{{[a-zA-Z0-9]*}} : tensor<?x256xf32>, tensor<256x32xf32>, tensor<64x4xi1>)
diff --git a/mlir/test/lib/Dialect/Linalg/TestLinalgTransforms.cpp b/mlir/test/lib/Dialect/Linalg/TestLinalgTransforms.cpp
--- a/mlir/test/lib/Dialect/Linalg/TestLinalgTransforms.cpp
+++ b/mlir/test/lib/Dialect/Linalg/TestLinalgTransforms.cpp
@@ -12,6 +12,7 @@
 
 #include "mlir/Dialect/Affine/IR/AffineOps.h"
 #include "mlir/Dialect/Arithmetic/IR/Arithmetic.h"
+#include "mlir/Dialect/Bufferization/IR/Bufferization.h"
 #include "mlir/Dialect/Func/IR/FuncOps.h"
 #include "mlir/Dialect/GPU/IR/GPUDialect.h"
 #include "mlir/Dialect/Linalg/IR/Linalg.h"
@@ -41,6 +42,7 @@
   void getDependentDialects(DialectRegistry &registry) const override {
     // clang-format off
     registry.insert<AffineDialect,
+                    bufferization::BufferizationDialect,
                     memref::MemRefDialect,
                     scf::SCFDialect,
                     linalg::LinalgDialect,