Changming Sun 4167b68abf Split ondevice training cpu packaging pipeline to a separated pipeline (#21485) ... ### Description Right now our "Zip-Nuget-Java-Nodejs Packaging Pipeline" is too big. This OnDevice training part is independent of the others, so it can be split out. Then our NPM Packaging pipeline will not depends on this training stuff. ### Motivation and Context Similar to #21235 Also, this PR fixed a problem that: "NuGet_Test_Linux_Training_CPU" job downloads artifacts from "onnxruntime-linux-x64" for getting customop shared libs, but the job forget to declare it depends on the "Linux_C_API_Packaging_CPU_x64" which produces the artifact. Such problems can be hard to find when a pipeline goes big.		2024-07-25 10:58:34 -07:00
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android	Enable LTO for Android build (#21243)	2024-07-10 18:44:17 -07:00
apple	CoreML: Add ML Program ConvTranspose (#21416)	2024-07-24 16:08:20 +10:00
azure-pipelines	Split ondevice training cpu packaging pipeline to a separated pipeline (#21485)	2024-07-25 10:58:34 -07:00
js	Remove deprecated "mobile" packages (#20941)	2024-06-07 16:20:32 -05:00
linux	Set CUDA12 as default in GPU packages (#21438)	2024-07-25 10:17:16 -07:00
pai	Update C++ dependencies (#21410)	2024-07-23 10:00:36 -07:00
windows	Set CUDA12 as default in GPU packages (#21438)	2024-07-25 10:17:16 -07:00
Doxyfile_csharp.cfg	[C#] Rename unreleased API, add utilities (#16806)	2023-08-02 10:06:42 -07:00