Index: mlir/include/mlir/Dialect/Affine/IR/AffineOps.td
===================================================================
--- mlir/include/mlir/Dialect/Affine/IR/AffineOps.td
+++ mlir/include/mlir/Dialect/Affine/IR/AffineOps.td
@@ -866,6 +866,19 @@
 
   let results = (outs AnyVector:$result);
 
+  let builders = [
+    /// Builds an affine vector load op with the specified map and operands.
+    OpBuilder<"OpBuilder &builder, OperationState &result, "
+              "VectorType resultType, AffineMap map, ValueRange operands">,
+    /// Builds an affine vector load op with an identity map and operands.
+    OpBuilder<"OpBuilder &builder, OperationState &result, "
+              "VectorType resultType, Value memref, ValueRange indices = {}">,
+    /// Builds an affine vector load op with the specified map and its operands.
+    OpBuilder<"OpBuilder &builder, OperationState &result, "
+              "VectorType resultType, Value memref, AffineMap map, "
+              "ValueRange mapOperands">
+  ];
+
   let extraClassDeclaration = extraClassDeclarationBase # [{
     VectorType getVectorType() {
       return result().getType().cast<VectorType>();
@@ -920,6 +933,15 @@
       [MemWrite]>:$memref,
       Variadic<Index>:$indices);
 
+  let skipDefaultBuilders = 1;
+  let builders = [
+    OpBuilder<"OpBuilder &builder, OperationState &result, "
+                      "Value valueToStore, Value memref, ValueRange indices">,
+    OpBuilder<"OpBuilder &builder, OperationState &result, "
+                      "Value valueToStore, Value memref, AffineMap map, "
+                      "ValueRange mapOperands">
+  ];
+
   let extraClassDeclaration = extraClassDeclarationBase # [{
     VectorType getVectorType() {
       return value().getType().cast<VectorType>();
Index: mlir/lib/Dialect/Affine/IR/AffineOps.cpp
===================================================================
--- mlir/lib/Dialect/Affine/IR/AffineOps.cpp
+++ mlir/lib/Dialect/Affine/IR/AffineOps.cpp
@@ -2792,6 +2792,38 @@
 // AffineVectorLoadOp
 //===----------------------------------------------------------------------===//
 
+void AffineVectorLoadOp::build(OpBuilder &builder, OperationState &result,
+                               VectorType resultType, AffineMap map,
+                               ValueRange operands) {
+  assert(operands.size() == 1 + map.getNumInputs() && "inconsistent operands");
+  result.addOperands(operands);
+  if (map)
+    result.addAttribute(getMapAttrName(), AffineMapAttr::get(map));
+  result.types.push_back(resultType);
+}
+
+void AffineVectorLoadOp::build(OpBuilder &builder, OperationState &result,
+                               VectorType resultType, Value memref,
+                               AffineMap map, ValueRange mapOperands) {
+  assert(map.getNumInputs() == mapOperands.size() && "inconsistent index info");
+  result.addOperands(memref);
+  result.addOperands(mapOperands);
+  result.addAttribute(getMapAttrName(), AffineMapAttr::get(map));
+  result.types.push_back(resultType);
+}
+
+void AffineVectorLoadOp::build(OpBuilder &builder, OperationState &result,
+                               VectorType resultType, Value memref,
+                               ValueRange indices) {
+  auto memrefType = memref.getType().cast<MemRefType>();
+  auto rank = memrefType.getRank();
+  // Create identity map for memrefs with at least one dimension or () -> ()
+  // for zero-dimensional memrefs.
+  auto map =
+      rank ? builder.getMultiDimIdentityMap(rank) : builder.getEmptyAffineMap();
+  build(builder, result, resultType, memref, map, indices);
+}
+
 static ParseResult parseAffineVectorLoadOp(OpAsmParser &parser,
                                            OperationState &result) {
   auto &builder = parser.getBuilder();
@@ -2855,6 +2887,29 @@
 // AffineVectorStoreOp
 //===----------------------------------------------------------------------===//
 
+void AffineVectorStoreOp::build(OpBuilder &builder, OperationState &result,
+                                Value valueToStore, Value memref, AffineMap map,
+                                ValueRange mapOperands) {
+  assert(map.getNumInputs() == mapOperands.size() && "inconsistent index info");
+  result.addOperands(valueToStore);
+  result.addOperands(memref);
+  result.addOperands(mapOperands);
+  result.addAttribute(getMapAttrName(), AffineMapAttr::get(map));
+}
+
+// Use identity map.
+void AffineVectorStoreOp::build(OpBuilder &builder, OperationState &result,
+                                Value valueToStore, Value memref,
+                                ValueRange indices) {
+  auto memrefType = memref.getType().cast<MemRefType>();
+  auto rank = memrefType.getRank();
+  // Create identity map for memrefs with at least one dimension or () -> ()
+  // for zero-dimensional memrefs.
+  auto map =
+      rank ? builder.getMultiDimIdentityMap(rank) : builder.getEmptyAffineMap();
+  build(builder, result, valueToStore, memref, map, indices);
+}
+
 static ParseResult parseAffineVectorStoreOp(OpAsmParser &parser,
                                             OperationState &result) {
   auto indexTy = parser.getBuilder().getIndexType();
Index: mlir/lib/Dialect/Affine/Transforms/AffineParallelNormalize.cpp
===================================================================
--- mlir/lib/Dialect/Affine/Transforms/AffineParallelNormalize.cpp
+++ mlir/lib/Dialect/Affine/Transforms/AffineParallelNormalize.cpp
@@ -14,11 +14,12 @@
 #include "mlir/Dialect/Affine/IR/AffineOps.h"
 #include "mlir/Dialect/Affine/IR/AffineValueMap.h"
 #include "mlir/Dialect/Affine/Passes.h"
+#include "mlir/Dialect/Affine/Utils.h"
 #include "mlir/IR/PatternMatch.h"
 
 using namespace mlir;
 
-void normalizeAffineParallel(AffineParallelOp op) {
+void mlir::normalizeAffineParallel(AffineParallelOp op) {
   AffineMap lbMap = op.lowerBoundsMap();
   SmallVector<int64_t, 8> steps = op.getSteps();
   // No need to do any work if the parallel op is already normalized.