diff --git a/onnxruntime/core/providers/cuda/object_detection/roialign.cc b/onnxruntime/core/providers/cuda/object_detection/roialign.cc
index 554e347f99..64f318f141 100644
--- a/onnxruntime/core/providers/cuda/object_detection/roialign.cc
+++ b/onnxruntime/core/providers/cuda/object_detection/roialign.cc
@@ -40,7 +40,7 @@ Status RoiAlign<T>::ComputeInternal(OpKernelContext* context) const {
     return status;
   }
 
-  auto& Y = *context->Output(0, {num_rois, x_dims[1], this->output_height_, this->output_width_});
+  Tensor& Y = *context->Output(0, {num_rois, x_dims[1], this->output_height_, this->output_width_});
   int64_t output_size = Y.Shape().Size();
 
   if (output_size > 0) {
diff --git a/onnxruntime/core/providers/cuda/tensor/upsample.cc b/onnxruntime/core/providers/cuda/tensor/upsample.cc
index 706513fa31..d403314cdd 100644
--- a/onnxruntime/core/providers/cuda/tensor/upsample.cc
+++ b/onnxruntime/core/providers/cuda/tensor/upsample.cc
@@ -155,8 +155,8 @@ Status Upsample<T>::ComputeInternal(OpKernelContext* context) const {
     return BaseCompute(context, roi, scales_, output_dims);
   }
 
-  const auto* scales = context->Input<Tensor>(scales_input_idx_);
-  const auto* sizes = context->Input<Tensor>(sizes_input_idx_);
+  const Tensor* scales = context->Input<Tensor>(scales_input_idx_);
+  const Tensor* sizes = context->Input<Tensor>(sizes_input_idx_);
 
   if (scales_cached_) {
     ORT_ENFORCE(sizes == nullptr, "Only one of scales or sizes must be provided as input.");