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1. Enable xnnpack test 2. Change TSA database name from onnxruntime_master to onnxruntime_main. This is a leftover of renaming the "master" branch to "main" 3. Add two static analysis jobs for WinML and DML 4. Rename the machine pool "aiinfra-dml-winbuild" to "onnxruntime-Win2019-GPU-dml-A10", so that the internal and public ADO instances use the same machine pool name. 5. Move Windows GPU CI build pipeline from "onnxruntime-Win2022-GPU-T4" to "onnxruntime-Win2022-GPU-A10" machine pool, because we do not have enough T4 GPUs. |
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| .. | ||
| cffconvert.yml | ||
| codeql.yml | ||
| generate-skip-doc-change.py | ||
| generated_fake_win_gpu_ci.yml | ||
| gradle-wrapper-validation.yml | ||
| labeler.yml | ||
| lint.yml | ||
| linux.yml | ||
| publish-c-apidocs.yml | ||
| publish-csharp-apidocs.yml | ||
| publish-gh-pages.yml | ||
| publish-java-apidocs.yml | ||
| publish-objectivec-apidocs.yml | ||
| publish-python-apidocs.yml | ||
| sca.yml | ||
| skip-doc-change.yml.j2 | ||
| windows.yml | ||