diff --git a/mlir/lib/Dialect/StandardOps/Transforms/Bufferize.cpp b/mlir/lib/Dialect/StandardOps/Transforms/Bufferize.cpp
--- a/mlir/lib/Dialect/StandardOps/Transforms/Bufferize.cpp
+++ b/mlir/lib/Dialect/StandardOps/Transforms/Bufferize.cpp
@@ -23,19 +23,6 @@
 using namespace mlir;
 
 namespace {
-class BufferizeDimOp : public OpConversionPattern<tensor::DimOp> {
-public:
-  using OpConversionPattern::OpConversionPattern;
-  LogicalResult
-  matchAndRewrite(tensor::DimOp op, ArrayRef<Value> operands,
-                  ConversionPatternRewriter &rewriter) const override {
-    tensor::DimOp::Adaptor adaptor(operands);
-    rewriter.replaceOpWithNewOp<memref::DimOp>(op, adaptor.source(),
-                                               adaptor.index());
-    return success();
-  }
-};
-
 class BufferizeIndexCastOp : public OpConversionPattern<IndexCastOp> {
 public:
   using OpConversionPattern::OpConversionPattern;
@@ -70,8 +57,8 @@
 
 void mlir::populateStdBufferizePatterns(BufferizeTypeConverter &typeConverter,
                                         RewritePatternSet &patterns) {
-  patterns.add<BufferizeDimOp, BufferizeSelectOp, BufferizeIndexCastOp>(
-      typeConverter, patterns.getContext());
+  patterns.add<BufferizeSelectOp, BufferizeIndexCastOp>(typeConverter,
+                                                        patterns.getContext());
 }
 
 namespace {
diff --git a/mlir/lib/Dialect/Tensor/Transforms/Bufferize.cpp b/mlir/lib/Dialect/Tensor/Transforms/Bufferize.cpp
--- a/mlir/lib/Dialect/Tensor/Transforms/Bufferize.cpp
+++ b/mlir/lib/Dialect/Tensor/Transforms/Bufferize.cpp
@@ -35,6 +35,21 @@
 };
 } // namespace
 
+namespace {
+class BufferizeDimOp : public OpConversionPattern<tensor::DimOp> {
+public:
+  using OpConversionPattern::OpConversionPattern;
+  LogicalResult
+  matchAndRewrite(tensor::DimOp op, ArrayRef<Value> operands,
+                  ConversionPatternRewriter &rewriter) const override {
+    tensor::DimOp::Adaptor adaptor(operands);
+    rewriter.replaceOpWithNewOp<memref::DimOp>(op, adaptor.source(),
+                                               adaptor.index());
+    return success();
+  }
+};
+} // namespace
+
 namespace {
 class BufferizeExtractOp : public OpConversionPattern<tensor::ExtractOp> {
 public:
@@ -139,8 +154,9 @@
 
 void mlir::populateTensorBufferizePatterns(
     BufferizeTypeConverter &typeConverter, RewritePatternSet &patterns) {
-  patterns.add<BufferizeCastOp, BufferizeExtractOp, BufferizeFromElementsOp,
-               BufferizeGenerateOp>(typeConverter, patterns.getContext());
+  patterns.add<BufferizeCastOp, BufferizeDimOp, BufferizeExtractOp,
+               BufferizeFromElementsOp, BufferizeGenerateOp>(
+      typeConverter, patterns.getContext());
 }
 
 namespace {
diff --git a/mlir/test/Dialect/Standard/bufferize.mlir b/mlir/test/Dialect/Standard/bufferize.mlir
--- a/mlir/test/Dialect/Standard/bufferize.mlir
+++ b/mlir/test/Dialect/Standard/bufferize.mlir
@@ -1,16 +1,5 @@
 // RUN: mlir-opt %s -std-bufferize | FileCheck %s
 
-// CHECK-LABEL:   func @dim(
-// CHECK-SAME:              %[[TENSOR:.*]]: tensor<f32>,
-// CHECK-SAME:              %[[INDEX:.*]]: index) -> index {
-// CHECK:           %[[MEMREF:.*]] = memref.buffer_cast %[[TENSOR]] : memref<f32>
-// CHECK:           %[[EXTENT:.*]] = memref.dim %[[MEMREF]], %[[INDEX]] : memref<f32>
-// CHECK:           return %[[EXTENT]] : index
-func @dim(%arg0: tensor<f32>, %arg1: index) -> index {
-  %0 = tensor.dim %arg0, %arg1 : tensor<f32>
-  return %0 : index
-}
-
 // CHECK-LABEL:   func @select(
 // CHECK-SAME:                 %[[PRED:.*]]: i1,
 // CHECK-SAME:                 %[[TRUE_VAL:.*]]: tensor<f32>,
diff --git a/mlir/test/Dialect/Tensor/bufferize.mlir b/mlir/test/Dialect/Tensor/bufferize.mlir
--- a/mlir/test/Dialect/Tensor/bufferize.mlir
+++ b/mlir/test/Dialect/Tensor/bufferize.mlir
@@ -1,5 +1,16 @@
 // RUN: mlir-opt %s -tensor-bufferize | FileCheck %s
 
+// CHECK-LABEL:   func @dim(
+// CHECK-SAME:              %[[TENSOR:.*]]: tensor<f32>,
+// CHECK-SAME:              %[[INDEX:.*]]: index) -> index {
+// CHECK:           %[[MEMREF:.*]] = memref.buffer_cast %[[TENSOR]] : memref<f32>
+// CHECK:           %[[EXTENT:.*]] = memref.dim %[[MEMREF]], %[[INDEX]] : memref<f32>
+// CHECK:           return %[[EXTENT]] : index
+func @dim(%arg0: tensor<f32>, %arg1: index) -> index {
+  %0 = tensor.dim %arg0, %arg1 : tensor<f32>
+  return %0 : index
+}
+
 // CHECK-LABEL:   func @tensor.cast(
 // CHECK-SAME:                      %[[TENSOR:.*]]: tensor<?xindex>) -> tensor<2xindex> {
 // CHECK:           %[[MEMREF:.*]] = memref.buffer_cast %[[TENSOR]]
@@ -67,7 +78,8 @@
 // CHECK:           %[[C0:.*]] = constant 0 : index
 // CHECK:           %[[C1:.*]] = constant 1 : index
 // CHECK:           scf.parallel (%[[I:.*]]) = (%[[C0]]) to (%[[DYNAMIC_EXTENT]]) step (%[[C1]]) {
-// CHECK:             %[[ELEM:.*]] = tensor.dim %[[ARG]], %[[I]] : tensor<*xf32>
+// CHECK:             %[[CASTED:.*]] = memref.buffer_cast %[[ARG]] : memref<*xf32>
+// CHECK:             %[[ELEM:.*]] = memref.dim %[[CASTED]], %[[I]] : memref<*xf32>
 // CHECK:             store %[[ELEM]], %[[MEMREF]][%[[I]]] : memref<?xindex>
 // CHECK:             scf.yield
 // CHECK:           }