diff --git a/mlir/include/mlir/Dialect/Linalg/Utils/Utils.h b/mlir/include/mlir/Dialect/Linalg/Utils/Utils.h
--- a/mlir/include/mlir/Dialect/Linalg/Utils/Utils.h
+++ b/mlir/include/mlir/Dialect/Linalg/Utils/Utils.h
@@ -222,6 +222,10 @@
        Optional<LinalgLoopDistributionOptions> = None);
 };
 
+/// Given an operation, retrieves the value of each dynamic dimension through
+/// constructing the necessary DimOp operators.
+SmallVector<Value, 4> getDynOperands(Location loc, Value val, OpBuilder &b);
+
 } // namespace linalg
 } // namespace mlir
 
diff --git a/mlir/include/mlir/Transforms/Utils.h b/mlir/include/mlir/Transforms/Utils.h
--- a/mlir/include/mlir/Transforms/Utils.h
+++ b/mlir/include/mlir/Transforms/Utils.h
@@ -142,6 +142,10 @@
 void createAffineComputationSlice(Operation *opInst,
                                   SmallVectorImpl<AffineApplyOp> *sliceOps);
 
+/// Given an operation, retrieves the value of each dynamic dimension through
+/// constructing the necessary DimOp operators.
+SmallVector<Value, 4> getDynOperands(Location loc, Value val, OpBuilder &b);
+
 } // end namespace mlir
 
 #endif // MLIR_TRANSFORMS_UTILS_H
diff --git a/mlir/lib/Dialect/Linalg/Transforms/Bufferize.cpp b/mlir/lib/Dialect/Linalg/Transforms/Bufferize.cpp
--- a/mlir/lib/Dialect/Linalg/Transforms/Bufferize.cpp
+++ b/mlir/lib/Dialect/Linalg/Transforms/Bufferize.cpp
@@ -21,18 +21,6 @@
 using namespace ::mlir;
 using namespace ::mlir::linalg;
 
-static SmallVector<Value, 4> getDynOperands(Location loc, Value val,
-                                            OpBuilder &b) {
-  SmallVector<Value, 4> dynOperands;
-  auto shapedType = val.getType().cast<ShapedType>();
-  for (auto dim : llvm::enumerate(shapedType.getShape())) {
-    if (dim.value() == TensorType::kDynamicSize) {
-      dynOperands.push_back(b.create<DimOp>(loc, val, dim.index()));
-    }
-  }
-  return dynOperands;
-}
-
 static Value cloneMemref(Location loc, Value memref, OpBuilder &b) {
   auto memrefType = memref.getType().cast<MemRefType>();
   auto alloc =
diff --git a/mlir/lib/Dialect/Linalg/Transforms/ElementwiseToLinalg.cpp b/mlir/lib/Dialect/Linalg/Transforms/ElementwiseToLinalg.cpp
--- a/mlir/lib/Dialect/Linalg/Transforms/ElementwiseToLinalg.cpp
+++ b/mlir/lib/Dialect/Linalg/Transforms/ElementwiseToLinalg.cpp
@@ -10,6 +10,7 @@
 
 #include "PassDetail.h"
 #include "mlir/Dialect/Linalg/IR/LinalgOps.h"
+#include "mlir/Dialect/Linalg/Utils/Utils.h"
 #include "mlir/Dialect/StandardOps/IR/Ops.h"
 #include "mlir/Transforms/DialectConversion.h"
 
@@ -62,18 +63,9 @@
     // Extract static / dynamic shape mix from the first operand.
     Value firstOperand = operands.front();
     auto rankedTensorType = t.cast<RankedTensorType>();
-    SmallVector<Value, 8> dynamicShape;
-    SmallVector<int64_t, 8> staticShape;
-    dynamicShape.reserve(rankedTensorType.getRank());
-    staticShape.reserve(rankedTensorType.getRank());
-    unsigned idx = 0;
-    for (auto shape : rankedTensorType.getShape()) {
-      staticShape.push_back(shape);
-      if (rankedTensorType.isDynamicDim(idx))
-        dynamicShape.push_back(b.create<DimOp>(loc, firstOperand, idx));
-      ++idx;
-    }
-    // Create init tensor.
+    auto staticShape = llvm::to_vector<4>(rankedTensorType.getShape());
+    auto dynamicShape = linalg::getDynOperands(loc, firstOperand, b);
+
     res.push_back(b.create<linalg::InitTensorOp>(
         loc, dynamicShape, staticShape, rankedTensorType.getElementType()));
   }
diff --git a/mlir/lib/Dialect/Linalg/Utils/Utils.cpp b/mlir/lib/Dialect/Linalg/Utils/Utils.cpp
--- a/mlir/lib/Dialect/Linalg/Utils/Utils.cpp
+++ b/mlir/lib/Dialect/Linalg/Utils/Utils.cpp
@@ -366,5 +366,16 @@
   assert(ivs.size() == iteratorTypes.size() && "did not generate enough loops");
 }
 
+SmallVector<Value, 4> getDynOperands(Location loc, Value val, OpBuilder &b) {
+  SmallVector<Value, 4> dynOperands;
+  auto shapedType = val.getType().cast<ShapedType>();
+  for (auto dim : llvm::enumerate(shapedType.getShape())) {
+    if (dim.value() == TensorType::kDynamicSize) {
+      dynOperands.push_back(b.create<DimOp>(loc, val, dim.index()));
+    }
+  }
+  return dynOperands;
+}
+
 } // namespace linalg
 } // namespace mlir
diff --git a/mlir/lib/Transforms/BufferDeallocation.cpp b/mlir/lib/Transforms/BufferDeallocation.cpp
--- a/mlir/lib/Transforms/BufferDeallocation.cpp
+++ b/mlir/lib/Transforms/BufferDeallocation.cpp
@@ -53,6 +53,7 @@
 
 #include "PassDetail.h"
 #include "mlir/Dialect/Linalg/IR/LinalgOps.h"
+#include "mlir/Dialect/Linalg/Utils/Utils.h"
 #include "mlir/Dialect/StandardOps/IR/Ops.h"
 #include "mlir/IR/Operation.h"
 #include "mlir/Interfaces/ControlFlowInterfaces.h"
@@ -394,13 +395,8 @@
 
     // Extract information about dynamically shaped types by
     // extracting their dynamic dimensions.
-    SmallVector<Value, 4> dynamicOperands;
-    for (auto shapeElement : llvm::enumerate(memRefType.getShape())) {
-      if (!ShapedType::isDynamic(shapeElement.value()))
-        continue;
-      dynamicOperands.push_back(builder.create<DimOp>(
-          terminator->getLoc(), sourceValue, shapeElement.index()));
-    }
+    auto dynamicOperands =
+        linalg::getDynOperands(terminator->getLoc(), sourceValue, builder);
 
     // TODO: provide a generic interface to create dialect-specific
     // Alloc and CopyOp nodes.
diff --git a/mlir/lib/Transforms/PipelineDataTransfer.cpp b/mlir/lib/Transforms/PipelineDataTransfer.cpp
--- a/mlir/lib/Transforms/PipelineDataTransfer.cpp
+++ b/mlir/lib/Transforms/PipelineDataTransfer.cpp
@@ -17,6 +17,7 @@
 #include "mlir/Analysis/LoopAnalysis.h"
 #include "mlir/Analysis/Utils.h"
 #include "mlir/Dialect/Affine/IR/AffineOps.h"
+#include "mlir/Dialect/Linalg/Utils/Utils.h"
 #include "mlir/IR/Builders.h"
 #include "mlir/Transforms/LoopUtils.h"
 #include "mlir/Transforms/Utils.h"
@@ -83,13 +84,9 @@
   // The double buffer is allocated right before 'forOp'.
   OpBuilder bOuter(forOp);
   // Put together alloc operands for any dynamic dimensions of the memref.
-  SmallVector<Value, 4> allocOperands;
-  unsigned dynamicDimCount = 0;
-  for (auto dimSize : oldMemRefType.getShape()) {
-    if (dimSize == -1)
-      allocOperands.push_back(
-          bOuter.create<DimOp>(forOp.getLoc(), oldMemRef, dynamicDimCount++));
-  }
+
+  auto allocOperands =
+      linalg::getDynOperands(forOp.getLoc(), oldMemRef, bOuter);
 
   // Create and place the alloc right before the 'affine.for' operation.
   Value newMemRef =