diff --git a/mlir/include/mlir/Dialect/Tensor/Utils/Utils.h b/mlir/include/mlir/Dialect/Tensor/Utils/Utils.h
--- a/mlir/include/mlir/Dialect/Tensor/Utils/Utils.h
+++ b/mlir/include/mlir/Dialect/Tensor/Utils/Utils.h
@@ -28,6 +28,11 @@
                         ArrayRef<OpFoldResult> low, ArrayRef<OpFoldResult> high,
                         bool nofold, Location loc, OpBuilder &builder);
 
+// Creates dim ops for each dynamic dimension of the raked tensor argument and
+// returns these as values.
+SmallVector<Value> createDynamicDimValues(OpBuilder &b, Location loc,
+                                          Value rankedTensor);
+
 } // namespace tensor
 } // namespace mlir
 
diff --git a/mlir/lib/Dialect/Tensor/Utils/Utils.cpp b/mlir/lib/Dialect/Tensor/Utils/Utils.cpp
--- a/mlir/lib/Dialect/Tensor/Utils/Utils.cpp
+++ b/mlir/lib/Dialect/Tensor/Utils/Utils.cpp
@@ -55,3 +55,16 @@
   }
   return createPadScalarOp(type, source, pad, low, high, nofold, loc, b);
 }
+
+SmallVector<Value> mlir::tensor::createDynamicDimValues(OpBuilder &b,
+                                                        Location loc,
+                                                        Value rankedTensor) {
+  auto tensorTy = rankedTensor.getType().cast<RankedTensorType>();
+  SmallVector<Value> dynamicDims;
+  for (const auto &en : llvm::enumerate(tensorTy.getShape())) {
+    if (en.value() == ShapedType::kDynamicSize)
+      dynamicDims.push_back(
+          b.create<tensor::DimOp>(loc, rankedTensor, en.index()));
+  }
+  return dynamicDims;
+}