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### Description 1. Add valgrind to existing ep_perf CI MemTest and parse ORT-TRT memLeak details 1. General Valgrind logs and logs related to ORT-TRT will be parsed in [CI artifacts](https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=334122&view=artifacts&pathAsName=false&type=publishedArtifacts) 1. Logic: 1. Run valgrind with `onnxruntime-perf-test -e tensorrt` and export log to `valgrind.log` 2. Identify if any `definitely lost` memleak happened 1. For log paragraphs which show `definitely lost`, parse if they have keyword `TensorrtExecutionProvider`. 2. If so, extract these details to `ort_trt_memleak_detail.log`, and return `build failure` to EP Perf CI 3. Fix existing addressSanitizer and sync the squeezenet testcase with latest update from [ort-inference-example](https://github.com/microsoft/onnxruntime-inference-examples/blob/main/c_cxx/squeezenet/main.cpp) 1. Updates in short: Upgrade main.cpp to be using OrtTensorRTProviderOptionsV2 4. Reorder the 7-min-MemTest to be ahead of 9-hr-model-tests, and enable MemTest by default |
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| .. | ||
| docker | ||
| ort_minimal | ||
| tvm | ||
| build_cuda_c_api_package.sh | ||
| build_linux_arm64_python_package.sh | ||
| build_yocto.sh | ||
| copy_strip_binary.sh | ||
| create_package.sh | ||
| extract_and_bundle_gpu_package.sh | ||
| java_copy_strip_binary.sh | ||
| java_linux_final_test.sh | ||
| run_build.sh | ||
| run_dockerbuild.sh | ||
| run_python_dockerbuild.sh | ||
| run_python_tests.sh | ||
| test_custom_ops_pytorch_export.sh | ||
| upload_code_coverage_data.sh | ||
| upload_ortsrv_binaries.sh | ||
| yocto_build_toolchain.sh | ||