[onnxruntime/build] Add new flag enable_generic_interface to build primary EPs by default #23342
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| # usage: | ||
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There was a problem hiding this comment. Sample code are better to be put in https://github.com/microsoft/onnxruntime-inference-examples/ , so that they will be exempted from compliance requirements(because we do not ship the code) |
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| # cd build/ | ||
| # cmake -S ../ -B ./ -DCMAKE_BUILD_TYPE=Debug | ||
| # cmake --build ./ | ||
| # NOTE: For Windows, copy onnxruntime.dll and onnxruntime.pdb into the same folder of TestOutTreeEp.exe, otherwise, during runtime, | ||
| # it will search the default system path (C:\Windows\System32) for onnxruntime.dll | ||
| cmake_minimum_required(VERSION 3.26) | ||
| project(GenericOrtEpInterface) | ||
| add_executable(GenericOrtEpInterface test.cpp) | ||
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| target_include_directories(GenericOrtEpInterface PUBLIC "../../include/onnxruntime") | ||
| target_link_libraries(GenericOrtEpInterface PUBLIC "C:/Users/leca/source/onnxruntime3/samples/GenericInterface/build/Debug/onnxruntime.lib") | ||
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| #include <iostream> | ||
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| #include <string> | ||
| #include <unordered_map> | ||
| #include "core/session/onnxruntime_c_api.h" | ||
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| const OrtApi* g_ort = OrtGetApiBase()->GetApi(ORT_API_VERSION); | ||
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There was a problem hiding this comment. Please check if the returned value is NULL. |
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| inline void THROW_ON_ERROR(OrtStatus* status) { | ||
| if (status != nullptr) { | ||
| std::cout << "ErrorMessage:" << g_ort->GetErrorMessage(status) << "\n"; | ||
| abort(); | ||
| } | ||
| } | ||
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| void RunRelu(const OrtApi* g_ort, OrtEnv* p_env, OrtSessionOptions* so) { | ||
| OrtSession* session = nullptr; | ||
| // Copy relu.onnx model from winml\test\collateral\models to the same path as the executable | ||
| THROW_ON_ERROR(g_ort->CreateSession(p_env, L"relu.onnx", so, &session)); | ||
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| OrtMemoryInfo* memory_info = nullptr; | ||
| THROW_ON_ERROR(g_ort->CreateCpuMemoryInfo(OrtArenaAllocator, OrtMemTypeDefault, &memory_info)); | ||
| float input_data[] = {-3.0f, 5.0f, -2.0f, 4.0f, 0.0f}; | ||
| const size_t input_len = 5 * sizeof(float); | ||
| const int64_t input_shape[] = {5}; | ||
| const size_t shape_len = sizeof(input_shape) / sizeof(input_shape[0]); | ||
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| OrtValue* input_tensor = nullptr; | ||
| THROW_ON_ERROR(g_ort->CreateTensorWithDataAsOrtValue(memory_info, input_data, input_len, input_shape, shape_len, ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT, &input_tensor)); | ||
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| const char* input_names[] = {"X"}; | ||
| const char* output_names[] = {"Y"}; | ||
| OrtValue* output_tensor = nullptr; | ||
| THROW_ON_ERROR(g_ort->Run(session, nullptr, input_names, (const OrtValue* const*)&input_tensor, 1, output_names, 1, &output_tensor)); | ||
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| float* output_tensor_data = nullptr; | ||
| THROW_ON_ERROR(g_ort->GetTensorMutableData(output_tensor, (void**)&output_tensor_data)); | ||
| std::cout << "Result:\n"; | ||
| for (size_t i = 0; i < 5; i++) std::cout << output_tensor_data[i] << " \n"; | ||
| } | ||
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| int main() { | ||
| int a; | ||
| std::cout << "prepare to attach:"; | ||
| std::cin >> a; | ||
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| OrtEnv* p_env = nullptr; | ||
| OrtLoggingLevel log_level = OrtLoggingLevel::ORT_LOGGING_LEVEL_ERROR; // OrtLoggingLevel::ORT_LOGGING_LEVEL_INFO; | ||
| THROW_ON_ERROR(g_ort->CreateEnv(log_level, "", &p_env)); | ||
| OrtSessionOptions* so = nullptr; | ||
| THROW_ON_ERROR(g_ort->CreateSessionOptions(&so)); | ||
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| OrtTensorRTProviderOptionsV2* tensorrt_options = nullptr; | ||
| THROW_ON_ERROR(g_ort->CreateTensorRTProviderOptions(&tensorrt_options)); | ||
| THROW_ON_ERROR(g_ort->SessionOptionsAppendExecutionProvider_TensorRT_V2(so, tensorrt_options)); | ||
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| std::unordered_map<std::string, std::string> ov_options; | ||
| ov_options["device_type"] = "CPU"; | ||
| ov_options["precision"] = "FP32"; | ||
| std::vector<const char*> keys, values; | ||
| for (const auto& entry : ov_options) { | ||
| keys.push_back(entry.first.c_str()); | ||
| values.push_back(entry.second.c_str()); | ||
| } | ||
| THROW_ON_ERROR(g_ort->SessionOptionsAppendExecutionProvider_OpenVINO_V2(so, keys.data(), values.data(), keys.size())); | ||
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| RunRelu(g_ort, p_env, so); | ||
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| return 0; | ||
| } | ||
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Misses onnxruntime_USE_CUDA_INTERFACE
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Are onnxruntime_USE_TENSORRT_INTERFACE and onnxruntime_USE_TENSORRT exclusive? Could both of them be set?