NFC: Introduce new ValuePtr/ValueRef typedefs to simplify the transition to Value being value-typed.

This is an initial step to refactoring the representation of OpResult as proposed in: https://groups.google.com/a/tensorflow.org/g/mlir/c/XXzzKhqqF_0/m/v6bKb08WCgAJ

This change will make it much simpler to incrementally transition all of the existing code to use value-typed semantics.

PiperOrigin-RevId: 286844725

1 files changed, 2 insertions, 2 deletions

diff --git a/mlir/test/EDSC/builder-api-test.cpp b/mlir/test/EDSC/builder-api-test.cpp
index 0b105eadf5a..376fc249a18 100644
--- a/mlir/test/EDSC/builder-api-test.cpp
+++ b/mlir/test/EDSC/builder-api-test.cpp
@@ -484,7 +484,7 @@ TEST_FUNC(select_op_i32) {
   IndexedValue A(f.getArgument(0));
   IndexHandle i, j;
   AffineLoopNestBuilder({&i, &j}, {zero, zero}, {one, one}, {1, 1})([&]{
-    // This test exercises IndexedValue::operator Value*.
+    // This test exercises IndexedValue::operator Value.
     // Without it, one must force conversion to ValueHandle as such:
     //   edsc::intrinsics::select(
     //      i == zero, ValueHandle(A(zero, zero)), ValueHandle(ValueA(i, j)))
@@ -802,7 +802,7 @@ TEST_FUNC(affine_if_op) {
   };
   auto intSet = IntegerSet::get(2, 2, affineExprs, isEq);
 
-  SmallVector<Value *, 4> affineIfArgs = {zero, zero, ten, ten};
+  SmallVector<ValuePtr, 4> affineIfArgs = {zero, zero, ten, ten};
   intrinsics::affine_if(intSet, affineIfArgs, /*withElseRegion=*/false);
   intrinsics::affine_if(intSet, affineIfArgs, /*withElseRegion=*/true);