From 3a56834acfee5f4766df6353e8a24d4f5ae62700 Mon Sep 17 00:00:00 2001
From: Jingyan Wang <jingywa@microsoft.com>
Date: Wed, 29 Jan 2025 22:23:49 +0000
Subject: [PATCH] Remove old UT carried from old branch

---
 .../providers/tensorrt/tensorrt_basic_test.cc | 60 -------------------
 1 file changed, 60 deletions(-)

diff --git a/onnxruntime/test/providers/tensorrt/tensorrt_basic_test.cc b/onnxruntime/test/providers/tensorrt/tensorrt_basic_test.cc
index a60d006d46..60e9ba69bc 100644
--- a/onnxruntime/test/providers/tensorrt/tensorrt_basic_test.cc
+++ b/onnxruntime/test/providers/tensorrt/tensorrt_basic_test.cc
@@ -842,66 +842,6 @@ TEST(TensorrtExecutionProviderTest, EPContextNodeMulti) {
   RunSession(session_object2, run_options, feeds, output_names, expected_dims_mul_m, expected_values_mul_m);
 }
 
-// TEST(TensorrtExecutionProviderTest, ExcludeOpsTest) {
-//   /* The mnist.onnx looks like this:
-//    *        Conv
-//    *         |
-//    *        Add
-//    *         .
-//    *         .
-//    *         |
-//    *      MaxPool
-//    *         |
-//    *         .
-//    *         .
-//    *      MaxPool
-//    *         |
-//    *      Reshape
-//    *         |
-//    *      MatMul
-//    *         .
-//    *         .
-//    *
-//    */
-//   PathString model_name = ORT_TSTR("testdata/mnist.onnx");
-//   SessionOptions so;
-//   so.session_logid = "TensorrtExecutionProviderExcludeOpsTest";
-//   RunOptions run_options;
-//   run_options.run_tag = so.session_logid;
-//   InferenceSession session_object{so, GetEnvironment()};
-//   auto cuda_provider = DefaultCudaExecutionProvider();
-//   auto cpu_allocator = cuda_provider->CreatePreferredAllocators()[1];
-//   std::vector<int64_t> dims_op_x = {1, 1, 28, 28};
-//   std::vector<float> values_op_x(784, 1.0f);  // 784=1*1*28*28
-//   OrtValue ml_value_x;
-//   CreateMLValue<float>(cpu_allocator, dims_op_x, values_op_x, &ml_value_x);
-//   NameMLValMap feeds;
-//   feeds.insert(std::make_pair("Input3", ml_value_x));
-
-//   // prepare outputs
-//   std::vector<std::string> output_names;
-//   output_names.push_back("Plus214_Output_0");
-//   std::vector<OrtValue> fetches;
-
-//   RemoveCachesByType("./", ".engine");
-//   OrtTensorRTProviderOptionsV2 params;
-//   params.trt_engine_cache_enable = 1;
-//   params.trt_op_types_to_exclude = "MaxPool";
-//   std::unique_ptr<IExecutionProvider> execution_provider = TensorrtExecutionProviderWithOptions(&params);
-//   EXPECT_TRUE(session_object.RegisterExecutionProvider(std::move(execution_provider)).IsOK());
-//   auto status = session_object.Load(model_name);
-//   ASSERT_TRUE(status.IsOK());
-//   status = session_object.Initialize();
-//   ASSERT_TRUE(status.IsOK());
-//   status = session_object.Run(run_options, feeds, output_names, &fetches);
-//   ASSERT_TRUE(status.IsOK());
-
-//   std::vector<fs::path> engine_files;
-//   engine_files = GetCachesByType("./", ".engine");
-//   // The whole graph should be partitioned into 3 TRT subgraphs and 2 cpu nodes
-//   ASSERT_EQ(engine_files.size(), 3);
-// }
-
 TEST(TensorrtExecutionProviderTest, TRTPluginsCustomOpTest) {
   PathString model_name = ORT_TSTR("testdata/trt_plugin_custom_op_test.onnx");
   SessionOptions so;