[TensorRT EP] Add unit test for user provided cuda stream

onnxruntime/test/shared_lib/test_inference.cc

@@ -2832,6 +2832,132 @@
 #endif
 
 #ifdef USE_TENSORRT
+TEST(CApiTest, TestExternalCUDAStreamWithIOBinding) {
+  const auto& api = Ort::GetApi();
+  Ort::SessionOptions session_options;
+
+  OrtTensorRTProviderOptionsV2* trt_options;
+  ASSERT_TRUE(api.CreateTensorRTProviderOptions(&trt_options) == nullptr);
+  std::unique_ptr<OrtTensorRTProviderOptionsV2, decltype(api.ReleaseTensorRTProviderOptions)>
+      rel_trt_options(trt_options, api.ReleaseTensorRTProviderOptions);
+
+  // updating provider option with user provided compute stream
+  cudaStream_t compute_stream = nullptr;
+  void* user_compute_stream = nullptr;
+  cudaStreamCreate(&compute_stream);
+  ASSERT_TRUE(api.UpdateTensorRTProviderOptionsWithValue(rel_trt_options.get(), "user_compute_stream", compute_stream) == nullptr);
+  ASSERT_TRUE(api.GetTensorRTProviderOptionsByName(rel_trt_options.get(), "user_compute_stream", &user_compute_stream) == nullptr);
+  ASSERT_TRUE(user_compute_stream == (void*)compute_stream);
+
+  ASSERT_TRUE(api.SessionOptionsAppendExecutionProvider_TensorRT_V2(
+                  static_cast<OrtSessionOptions*>(session_options),
+                  rel_trt_options.get()) == nullptr);
+
+  Ort::Session session(*ort_env, MODEL_URI, session_options);
+  Ort::MemoryInfo info_cuda("Cuda", OrtAllocatorType::OrtArenaAllocator, 0, OrtMemTypeDefault);
+
+  const std::array<int64_t, 2> x_shape = {3, 2};
+  std::array<float, 3 * 2> x_values = {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f};
+
+  /*
+   * Use cudaMallocHost() (pinned memory allocation) to create input/output tensors
+   */
+  float* input_data;
+  cudaMallocHost(&input_data, 3 * 2 * sizeof(float));
+  ASSERT_NE(input_data, nullptr);
+  cudaMemcpy(input_data, x_values.data(), sizeof(float) * x_values.size(), cudaMemcpyHostToDevice);
+
+  std::cout << "pinned memory allocation" << std::endl;
+  std::cout << "input tesnor:" << std::endl;
+  for (int i = 0; i < 6; i++) {
+    std::cout << input_data[i] << std::endl;
+  }
+
+  // Create an OrtValue tensor backed by data on CUDA memory
+  Ort::Value bound_x = Ort::Value::CreateTensor(info_cuda, reinterpret_cast<float*>(input_data), x_values.size(),
+                                                x_shape.data(), x_shape.size());
+
+  const std::array<int64_t, 2> expected_y_shape = {3, 2};
+  std::array<float, 3 * 2> expected_y = {1.0f, 4.0f, 9.0f, 16.0f, 25.0f, 36.0f};
+
+  float* output_data;
+  cudaMallocHost(&output_data, 3 * 2 * sizeof(float));
+  ASSERT_NE(output_data, nullptr);
+
+  // Create an OrtValue tensor backed by data on CUDA memory
+  Ort::Value bound_y = Ort::Value::CreateTensor(info_cuda, reinterpret_cast<float*>(output_data),
+                                                expected_y.size(), expected_y_shape.data(), expected_y_shape.size());
+
+  // Create IoBinding for inputs and outputs.
+  Ort::IoBinding binding(session);
+  binding.BindInput("X", bound_x);
+  binding.BindOutput("Y", bound_y);
+
+  /*
+   * Use cudaMalloc() (pageable memory allocation first and then implicit pinned memory allocation) to create input/output tensors
+   */
+  float* input_data_2;
+  cudaMalloc(&input_data_2, 3 * 2 * sizeof(float));
+  ASSERT_NE(input_data_2, nullptr);
+  cudaMemcpy(input_data_2, x_values.data(), sizeof(float) * x_values.size(), cudaMemcpyHostToDevice);
+
+  // Create an OrtValue tensor backed by data on CUDA memory
+  Ort::Value bound_x_2 = Ort::Value::CreateTensor(info_cuda, reinterpret_cast<float*>(input_data_2), x_values.size(),
+                                                  x_shape.data(), x_shape.size());
+
+  float* output_data_2;
+  cudaMalloc(&output_data_2, 3 * 2 * sizeof(float));
+  ASSERT_NE(output_data_2, nullptr);
+
+  // Create an OrtValue tensor backed by data on CUDA memory
+  Ort::Value bound_y_2 = Ort::Value::CreateTensor(info_cuda, reinterpret_cast<float*>(output_data_2),
+                                                  expected_y.size(), expected_y_shape.data(), expected_y_shape.size());
+
+  // Create IoBinding for inputs and outputs.
+  Ort::IoBinding binding_2(session);
+  binding_2.BindInput("X", bound_x_2);
+  binding_2.BindOutput("Y", bound_y_2);
+
+  // Run with first iobindings
+  session.Run(Ort::RunOptions(), binding);
+
+  // Check the values against the bound raw memory (needs copying from device to host first)
+  std::array<float, 3 * 2> y_values;
+  cudaMemcpy(y_values.data(), output_data, sizeof(float) * y_values.size(), cudaMemcpyDeviceToHost);
+
+  std::cout << "pinned memory allocation" << std::endl;
+  std::cout << "output: " << std::endl;
+  for (auto y : y_values) {
+    std::cout << y << std::endl;
+  }
+  ASSERT_THAT(y_values, ::testing::ContainerEq(expected_y));
+
+  // Run with second iobindings
+  session.Run(Ort::RunOptions(), binding_2);
+
+  // Check the values against the bound raw memory (needs copying from device to host first)
+  cudaMemcpy(y_values.data(), output_data_2, sizeof(float) * y_values.size(), cudaMemcpyDeviceToHost);
+
+  std::cout << "pageable memory allocation" << std::endl;
+  std::cout << "output: " << std::endl;
+  for (auto y : y_values) {
+    std::cout << y << std::endl;
+  }
+  ASSERT_THAT(y_values, ::testing::ContainerEq(expected_y));
+
+  // Clean up
+  binding.ClearBoundInputs();
+  binding.ClearBoundOutputs();
+  binding_2.ClearBoundInputs();
+  binding_2.ClearBoundOutputs();
+
+  cudaFreeHost(input_data);
+  cudaFreeHost(output_data);
+  cudaFree(input_data_2);
+  cudaFree(output_data_2);
+  cudaStreamDestroy(compute_stream);
+}
+
 class CApiTensorRTTest : public testing::Test, public ::testing::WithParamInterface<std::string> {};
 
 // This test uses CreateTensorRTProviderOptions/UpdateTensorRTProviderOptions APIs to configure and create a TensorRT Execution Provider
@@ -2849,15 +2975,6 @@
   ASSERT_TRUE(api.CreateTensorRTProviderOptions(&trt_options) == nullptr);
   std::unique_ptr<OrtTensorRTProviderOptionsV2, decltype(api.ReleaseTensorRTProviderOptions)> rel_trt_options(trt_options, api.ReleaseTensorRTProviderOptions);
 
-  // Only test updating provider option with user provided compute stream
-  cudaStream_t compute_stream = nullptr;
-  void* user_compute_stream = nullptr;
-  cudaStreamCreateWithFlags(&compute_stream, cudaStreamNonBlocking);
-  ASSERT_TRUE(api.UpdateTensorRTProviderOptionsWithValue(rel_trt_options.get(), "user_compute_stream", compute_stream) == nullptr);
-  ASSERT_TRUE(api.GetTensorRTProviderOptionsByName(rel_trt_options.get(), "user_compute_stream", &user_compute_stream) == nullptr);
-  ASSERT_TRUE(user_compute_stream == (void*)compute_stream);
-  cudaStreamDestroy(compute_stream);
-
   const char* engine_cache_path = "./trt_engine_folder";
 
   std::vector<const char*> keys{"device_id", "has_user_compute_stream", "trt_fp16_enable", "trt_int8_enable", "trt_engine_cache_enable",