From 4166b832df0a4bde755b5ce93f169d37c39cdb16 Mon Sep 17 00:00:00 2001
From: Chi Lo <Chi.Lo@microsoft.com>
Date: Mon, 25 Mar 2024 09:14:12 -0700
Subject: [PATCH] Fix compile warning

---
 .../tensorrt/tensorrt_execution_provider.cc      | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/onnxruntime/core/providers/tensorrt/tensorrt_execution_provider.cc b/onnxruntime/core/providers/tensorrt/tensorrt_execution_provider.cc
index 247eecdc06dcf..b3cad3af9cb7c 100644
--- a/onnxruntime/core/providers/tensorrt/tensorrt_execution_provider.cc
+++ b/onnxruntime/core/providers/tensorrt/tensorrt_execution_provider.cc
@@ -587,28 +587,28 @@ Status ApplyProfileShapesFromInputTensorValue(std::vector<nvinfer1::IOptimizatio
 
       switch (tensor_type) {
         case ONNX_TENSOR_ELEMENT_DATA_TYPE_INT32: {
-          auto input = std::make_unique<int32_t[]>(shape_size);
-          auto status = GetShapeOfShapeTensor<int32_t>(input_tensor, input.get(), shape_size, stream);
+          auto buffer = std::make_unique<int32_t[]>(shape_size);
+          auto status = GetShapeOfShapeTensor<int32_t>(input_tensor, buffer.get(), shape_size, stream);
           if (status != Status::OK()) {
             return ORT_MAKE_STATUS(ONNXRUNTIME, EP_FAIL, status.ErrorMessage());
           }
           shape_tensor_values[input_name].resize(shape_size);
           for (int j = 0; j < shape_size; ++j) {
-            shape_tensor_values[input_name][j] = input[j];
-            values[j] = input[j];
+            shape_tensor_values[input_name][j] = buffer[j];
+            values[j] = buffer[j];
           }
           break;
         }
         case ONNX_TENSOR_ELEMENT_DATA_TYPE_INT64: {
-          auto input = std::make_unique<int64_t[]>(shape_size);
-          auto status = GetShapeOfShapeTensor<int64_t>(input_tensor, input.get(), shape_size, stream);
+          auto buffer = std::make_unique<int64_t[]>(shape_size);
+          auto status = GetShapeOfShapeTensor<int64_t>(input_tensor, buffer.get(), shape_size, stream);
           if (status != Status::OK()) {
             return ORT_MAKE_STATUS(ONNXRUNTIME, EP_FAIL, status.ErrorMessage());
           }
           shape_tensor_values_int64[input_name].resize(shape_size);
           for (int j = 0; j < shape_size; ++j) {
-            shape_tensor_values_int64[input_name][j] = input[j];
-            values[j] = static_cast<int32_t>(input[j]);
+            shape_tensor_values_int64[input_name][j] = buffer[j];
+            values[j] = static_cast<int32_t>(buffer[j]);
           }
           break;
         }