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2f154f68ea
## Job Test running on most CI jobs. ## Test binary * `test_main.cpp`: entry for gtest * `test_operator_registration.cpp`: test cases for gtest ## Helper sources * `operator_registry.h/cpp`: simple operator registry for testing purpose. * `Evalue.h`: a boxed data type that wraps ATen types, for testing purpose. * `selected_operators.yaml`: operators Executorch care about so far, we should cover all of them. ## Templates * `NativeFunctions.h`: for generating headers for native functions. (not compiled in the test, since we will be using `libtorch`) * `RegisterCodegenUnboxedKernels.cpp`: for registering boxed operators. * `Functions.h`: for declaring operator C++ APIs. Generated `Functions.h` merely wraps `ATen/Functions.h`. ## Build files * `CMakeLists.txt`: generate code to register ops. * `build.sh`: driver file, to be called by CI job. Pull Request resolved: https://github.com/pytorch/pytorch/pull/89596 Approved by: https://github.com/ezyang
19 lines
477 B
C++
19 lines
477 B
C++
#include <gtest/gtest.h>
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std::string add_negative_flag(const std::string& flag) {
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std::string filter = ::testing::GTEST_FLAG(filter);
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if (filter.find('-') == std::string::npos) {
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filter.push_back('-');
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} else {
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filter.push_back(':');
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}
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filter += flag;
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return filter;
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}
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int main(int argc, char* argv[]) {
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::testing::InitGoogleTest(&argc, argv);
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::testing::GTEST_FLAG(filter) = add_negative_flag("*_CUDA:*_MultiCUDA");
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return RUN_ALL_TESTS();
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}
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