diff --git a/mlir/include/mlir/Dialect/Tosa/IR/TosaOps.td b/mlir/include/mlir/Dialect/Tosa/IR/TosaOps.td
index ecddc9fe9a13d..b876880597dd4 100644
--- a/mlir/include/mlir/Dialect/Tosa/IR/TosaOps.td
+++ b/mlir/include/mlir/Dialect/Tosa/IR/TosaOps.td
@@ -396,7 +396,7 @@ def Tosa_RFFT2dOp : Tosa_InferShapedTypeOp<"rfft2d", [
   }];
 
   let arguments = (ins
-    Tosa_Tensor3D:$input,
+    Tosa_Tensor3D:$input_real,
     DefaultValuedOptionalAttr<BoolAttr, "false">:$local_bound
   );
 
@@ -411,7 +411,7 @@ def Tosa_RFFT2dOp : Tosa_InferShapedTypeOp<"rfft2d", [
   ];
 
   let assemblyFormat = [{
-    $input attr-dict `:` `(` type($input) `)` `->` `(` type($output_real) `,` type($output_imag) `)`
+    $input_real attr-dict `:` `(` type($input_real) `)` `->` `(` type($output_real) `,` type($output_imag) `)`
   }];
 
   let hasVerifier = 1;
diff --git a/mlir/lib/Conversion/TosaToLinalg/TosaToLinalg.cpp b/mlir/lib/Conversion/TosaToLinalg/TosaToLinalg.cpp
index f7dd33c7e8b53..ccfe28270322c 100644
--- a/mlir/lib/Conversion/TosaToLinalg/TosaToLinalg.cpp
+++ b/mlir/lib/Conversion/TosaToLinalg/TosaToLinalg.cpp
@@ -2614,7 +2614,7 @@ struct RFFT2dConverter final : public OpRewritePattern<RFFT2dOp> {
     }
 
     auto loc = rfft2d.getLoc();
-    auto input = rfft2d.getInput();
+    auto input = rfft2d.getInputReal();
     auto elementType =
         dyn_cast<FloatType>(cast<ShapedType>(input.getType()).getElementType());
     if (!elementType)
diff --git a/mlir/lib/Dialect/Tosa/IR/TosaOps.cpp b/mlir/lib/Dialect/Tosa/IR/TosaOps.cpp
index 7a991b3876f69..ffa540426cd71 100644
--- a/mlir/lib/Dialect/Tosa/IR/TosaOps.cpp
+++ b/mlir/lib/Dialect/Tosa/IR/TosaOps.cpp
@@ -805,7 +805,7 @@ LogicalResult tosa::RFFT2dOp::inferReturnTypeComponents(
     MLIRContext *context, ::std::optional<Location> location,
     RFFT2dOp::Adaptor adaptor,
     SmallVectorImpl<ShapedTypeComponents> &inferredReturnShapes) {
-  ShapeAdaptor inputShape(adaptor.getInput().getType());
+  ShapeAdaptor inputShape(adaptor.getInputReal().getType());
 
   if (!inputShape.hasRank())
     return failure();
@@ -842,7 +842,8 @@ LogicalResult tosa::RFFT2dOp::verify() {
   if (failed(verifyCompatibleShapes(outputTypes)))
     return emitOpError("expected output shapes to match, got ") << outputTypes;
 
-  const auto inputType = llvm::dyn_cast<RankedTensorType>(getInput().getType());
+  const auto inputType =
+      llvm::dyn_cast<RankedTensorType>(getInputReal().getType());
   if (!inputType)
     return success();
 
diff --git a/mlir/lib/Dialect/Tosa/Transforms/TosaProfileCompliance.cpp b/mlir/lib/Dialect/Tosa/Transforms/TosaProfileCompliance.cpp
index 983062ffd7912..448a7e1982276 100644
--- a/mlir/lib/Dialect/Tosa/Transforms/TosaProfileCompliance.cpp
+++ b/mlir/lib/Dialect/Tosa/Transforms/TosaProfileCompliance.cpp
@@ -160,7 +160,7 @@ void ProfileInfoDepot::populateProfileInfo(tosa::FFT2dOp op) {
 
 template <>
 void ProfileInfoDepot::populateProfileInfo(tosa::RFFT2dOp op) {
-  addValue(op.getInput());
+  addValue(op.getInputReal());
   addValue(op.getOutputReal());
   addValue(op.getOutputImag());
 }