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### Description <!-- Describe your changes. --> 1. Add a new test lib `onnxruntime_providers_cuda_ut` which is similar to `onnxruntime_providers_cuda` but `onnxruntime_providers_cuda_ut` is only built if `onnxruntime_BUILD_UNIT_TESTS` is set. We can call all CUDA UTs through this ut lib without affecting production lib `onnxruntime_providers_cuda`. 2. Move all test cases from `core/providers/cuda/test/` to `test/providers/cuda/`. These test cases are built into lib `onnxruntime_providers_cuda_ut` and run by `./onnxruntime_test_all --gtest_filter="*CUDA_EP_Unittest*"`. Since the lib is only for test, we can use gtest macros in the test cases. Previous implementation do not support using gtest lib in the CUDA UT cases. 3. The cmake code in `cmake/onnxruntime_providers.cmake` is refactored a bit. A new function `onnxruntime_add_object_library` is to build a object target. The 2 libs `onnxruntime_providers_cuda_ut` & `onnxruntime_providers_cuda` share most of the code, so the object files can be used in both libs, which helps reduce build time. Another function `config_cuda_provider_shared_module` is used to configure all 3 similar targets(onnxruntime_providers_cuda_obj/onnxruntime_providers_cuda/onnxruntime_providers_cuda_ut). 4. Refactored the test to call `testing::InitGoogleTest` & `RUN_ALL_TESTS` in `libonnxruntime_providers_cuda_ut.so`'s `TestAll`. After this change, we can see all the cases running in `CUDA_EP_Unittest.All`:  ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> After https://github.com/microsoft/onnxruntime/pull/13016, there are still test files in test/providers/cuda/ that are not moved to core/providers/cuda/test/ and the test cases are disabled. This PR helps to clean the unfinished TODOs. Even through onnxruntime_shared_lib_test covers some test for CUDA provider. onnxruntime_shared_lib_test works like a coarse grain end-to-end test for CUDA provider. If CUDA unittest can run cases for a single component, this wound be helpful for CUDA developers. --------- Co-authored-by: Yuhong Guo <yuhong.gyh@antgroup.com> |
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| .. | ||
| external | ||
| patches | ||
| tensorboard | ||
| adjust_global_compile_flags.cmake | ||
| CMakeLists.txt | ||
| CMakeSettings.json | ||
| codeconv.runsettings | ||
| deps.txt | ||
| EnableVisualStudioCodeAnalysis.props | ||
| gdk_toolchain.cmake | ||
| Info.plist.in | ||
| libonnxruntime.pc.cmake.in | ||
| nuget_helpers.cmake | ||
| onnxruntime.cmake | ||
| onnxruntime_codegen_tvm.cmake | ||
| onnxruntime_common.cmake | ||
| onnxruntime_compile_triton_kernel.cmake | ||
| onnxruntime_config.h.in | ||
| onnxruntime_csharp.cmake | ||
| onnxruntime_flatbuffers.cmake | ||
| onnxruntime_framework.cmake | ||
| onnxruntime_fuzz_test.cmake | ||
| onnxruntime_graph.cmake | ||
| onnxruntime_ios.toolchain.cmake | ||
| onnxruntime_java.cmake | ||
| onnxruntime_java_unittests.cmake | ||
| onnxruntime_kernel_explorer.cmake | ||
| onnxruntime_language_interop_ops.cmake | ||
| onnxruntime_mlas.cmake | ||
| onnxruntime_nodejs.cmake | ||
| onnxruntime_objectivec.cmake | ||
| onnxruntime_opschema_lib.cmake | ||
| onnxruntime_optimizer.cmake | ||
| onnxruntime_providers.cmake | ||
| onnxruntime_pyop.cmake | ||
| onnxruntime_python.cmake | ||
| onnxruntime_rocm_hipify.cmake | ||
| onnxruntime_session.cmake | ||
| onnxruntime_snpe_provider.cmake | ||
| onnxruntime_training.cmake | ||
| onnxruntime_unittests.cmake | ||
| onnxruntime_util.cmake | ||
| onnxruntime_webassembly.cmake | ||
| precompiled_header.cmake | ||
| Sdl.ruleset | ||
| set_winapi_family_desktop.h | ||
| target_delayload.cmake | ||
| uwp_stubs.h | ||
| wcos_rules_override.cmake | ||
| winml.cmake | ||
| winml_cppwinrt.cmake | ||
| winml_sdk_helpers.cmake | ||
| winml_unittests.cmake | ||