diff --git a/mlir/include/mlir/IR/Builders.h b/mlir/include/mlir/IR/Builders.h
--- a/mlir/include/mlir/IR/Builders.h
+++ b/mlir/include/mlir/IR/Builders.h
@@ -128,6 +128,7 @@
   /// as attributes.
   DenseIntElementsAttr getI32TensorAttr(ArrayRef<int32_t> values);
   DenseIntElementsAttr getI64TensorAttr(ArrayRef<int64_t> values);
+  DenseIntElementsAttr getIndexTensorAttr(ArrayRef<int64_t> values);
 
   ArrayAttr getAffineMapArrayAttr(ArrayRef<AffineMap> values);
   ArrayAttr getBoolArrayAttr(ArrayRef<bool> values);
diff --git a/mlir/include/mlir/IR/OpBase.td b/mlir/include/mlir/IR/OpBase.td
--- a/mlir/include/mlir/IR/OpBase.td
+++ b/mlir/include/mlir/IR/OpBase.td
@@ -1218,6 +1218,13 @@
   let convertFromStorage = "$_self";
 }
 
+def IndexElementsAttr
+    : IntElementsAttrBase<CPred<[{$_self.cast<DenseIntElementsAttr>()
+                                      .getType()
+                                      .getElementType()
+                                      .isIndex()}]>,
+                          "index elements attribute">;
+
 class AnyIntElementsAttr<int width> : IntElementsAttrBase<
   CPred<"$_self.cast<DenseIntElementsAttr>().getType()."
         "getElementType().isInteger(" # width # ")">,
diff --git a/mlir/lib/IR/Attributes.cpp b/mlir/lib/IR/Attributes.cpp
--- a/mlir/lib/IR/Attributes.cpp
+++ b/mlir/lib/IR/Attributes.cpp
@@ -624,6 +624,8 @@
                            owner.getContext());
     return IntegerAttr::get(eltTy, *IntElementIterator(owner, index));
   }
+  if (eltTy.isa<IndexType>())
+    return IntegerAttr::get(eltTy, *IntElementIterator(owner, index));
   if (auto floatEltTy = eltTy.dyn_cast<FloatType>()) {
     IntElementIterator intIt(owner, index);
     FloatElementIterator floatIt(floatEltTy.getFloatSemantics(), intIt);
diff --git a/mlir/lib/IR/Builders.cpp b/mlir/lib/IR/Builders.cpp
--- a/mlir/lib/IR/Builders.cpp
+++ b/mlir/lib/IR/Builders.cpp
@@ -130,6 +130,13 @@
       values);
 }
 
+DenseIntElementsAttr Builder::getIndexTensorAttr(ArrayRef<int64_t> values) {
+  return DenseIntElementsAttr::get(
+      RankedTensorType::get(static_cast<int64_t>(values.size()),
+                            getIndexType()),
+      values);
+}
+
 IntegerAttr Builder::getI32IntegerAttr(int32_t value) {
   return IntegerAttr::get(getIntegerType(32), APInt(32, value));
 }
diff --git a/mlir/test/lib/Dialect/Test/TestOps.td b/mlir/test/lib/Dialect/Test/TestOps.td
--- a/mlir/test/lib/Dialect/Test/TestOps.td
+++ b/mlir/test/lib/Dialect/Test/TestOps.td
@@ -454,6 +454,10 @@
   let arguments = (ins I32ElementsAttr:$attr);
 }
 
+def IndexElementsAttrOp : TEST_Op<"indexElementsAttr"> {
+  let arguments = (ins IndexElementsAttr:$attr);
+}
+
 def OpWithInferTypeInterfaceOp : TEST_Op<"op_with_infer_type_if", [
     DeclareOpInterfaceMethods<InferTypeOpInterface>]> {
   let arguments = (ins AnyTensor, AnyTensor);
diff --git a/mlir/test/mlir-tblgen/types.mlir b/mlir/test/mlir-tblgen/types.mlir
--- a/mlir/test/mlir-tblgen/types.mlir
+++ b/mlir/test/mlir-tblgen/types.mlir
@@ -489,3 +489,18 @@
   "test.i32ElementsAttr"() {attr = dense<[1, 2]>:tensor<2xi32>} : () -> ()
   return
 }
+
+// -----
+
+func @elements_attr_index() {
+  "test.indexElementsAttr"() {attr = dense<[1, 2]>:tensor<2xindex>} : () -> ()
+  return
+}
+
+// -----
+
+func @elements_attr_not_index() {
+  // expected-error@+1 {{index elements attribute}}
+  "test.indexElementsAttr"() {attr = dense<[1, 2]>:tensor<2xi32>} : () -> ()
+  return
+}