diff --git a/onnxruntime/core/providers/dml/DmlExecutionProvider/src/MLOperatorAuthorImpl.cpp b/onnxruntime/core/providers/dml/DmlExecutionProvider/src/MLOperatorAuthorImpl.cpp
index 52fa94f964..74aba596d7 100644
--- a/onnxruntime/core/providers/dml/DmlExecutionProvider/src/MLOperatorAuthorImpl.cpp
+++ b/onnxruntime/core/providers/dml/DmlExecutionProvider/src/MLOperatorAuthorImpl.cpp
@@ -1262,7 +1262,7 @@ void OpKernelContextWrapper::Close() {
 
   ClearTempAllocations();
 
-  __super::Close();
+  Closable::Close();
 }
 
 HRESULT STDMETHODCALLTYPE OpKernelContextWrapper::GetInputTensor(uint32_t inputIndex, IMLOperatorTensor** tensor) const noexcept try {
diff --git a/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorRecurrentNeuralNetwork.cpp b/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorRecurrentNeuralNetwork.cpp
index c67beb596d..bca338e892 100644
--- a/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorRecurrentNeuralNetwork.cpp
+++ b/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorRecurrentNeuralNetwork.cpp
@@ -186,7 +186,7 @@ public:
     {
         // Assume that enough GPU work has been queued up after the RNN operator that it is worth
         // kicking it off, to enable subsequent CPU work to be parallelized with this GPU work.
-        __super::Compute(kernelContext);
+        DmlOperator::Compute(kernelContext);
         m_executionProvider->Flush();
     }