onnxruntime/.gdn/.gdntsa

{
    "codebaseName": "onnxruntime_main"
}
Update compliance tasks in python packaging pipeline and fix some compile warnings (#8471) 1. Update SDLNativeRules from v2 to v3. The new one allows us setting excluded paths. 2. Update TSAUpload from v1 to v2. And add a config file ".gdn/.gdntsa" for it. 3. Fix some parentheses warnings 4. Update cmake to the latest. 5. Remove "--x86" build option from pipeline yaml files. Now we can auto-detect cpu architecture from python. So we don't need to ask user to specify it. 2021-07-31 00:16:37 +00:00			`{`
Update win-ci-pipeline.yml: enable xnnpack tests (#16244) 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. 2023-06-15 02:12:42 +00:00			`"codebaseName": "onnxruntime_main"`
Update compliance tasks in python packaging pipeline and fix some compile warnings (#8471) 1. Update SDLNativeRules from v2 to v3. The new one allows us setting excluded paths. 2. Update TSAUpload from v1 to v2. And add a config file ".gdn/.gdntsa" for it. 3. Fix some parentheses warnings 4. Update cmake to the latest. 5. Remove "--x86" build option from pipeline yaml files. Now we can auto-detect cpu architecture from python. So we don't need to ask user to specify it. 2021-07-31 00:16:37 +00:00			`}`