diff --git a/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorLayerNormalization.cpp b/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorLayerNormalization.cpp
index 30047e750c..9b366649de 100644
--- a/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorLayerNormalization.cpp
+++ b/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorLayerNormalization.cpp
@@ -30,7 +30,7 @@ public:
         int32_t onnxAxis = kernelCreationContext.GetOptionalAttribute<int32_t>(AttrName::Axis, -1);
         uint32_t inputDimCount = kernelCreationContext.GetTensorShapeDescription().GetInputTensorDimensionCount(0);
         onnxAxis = OperatorHelper::HandleNegativeAxis(onnxAxis, inputDimCount);
-        std::vector<uint32_t> onnxAxes(inputDimCount - onnxAxis);
+        std::vector<uint32_t> onnxAxes(static_cast<size_t>(inputDimCount) - static_cast<size_t>(onnxAxis));
         std::iota(onnxAxes.begin(), onnxAxes.end(), onnxAxis);
 
         assert(m_inputTensorDescs.size() == 3);
diff --git a/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorSkipLayerNormalization.cpp b/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorSkipLayerNormalization.cpp
index 5c6e98c17a..5f5a93282e 100644
--- a/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorSkipLayerNormalization.cpp
+++ b/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorSkipLayerNormalization.cpp
@@ -27,7 +27,7 @@ public:
         int32_t onnxAxis = kernelCreationContext.GetOptionalAttribute<int32_t>(AttrName::Axis, -1);
         uint32_t inputDimCount = kernelCreationContext.GetTensorShapeDescription().GetInputTensorDimensionCount(0);
         onnxAxis = OperatorHelper::HandleNegativeAxis(onnxAxis, inputDimCount);
-        std::vector<uint32_t> onnxAxes(inputDimCount - onnxAxis);
+        std::vector<uint32_t> onnxAxes(static_cast<size_t>(inputDimCount) - static_cast<size_t>(onnxAxis));
         std::iota(onnxAxes.begin(), onnxAxes.end(), onnxAxis);
 
         assert(m_inputTensorDescs.size() == 5);