[DO NOT UNPIN] ORT 1.19 release candidates available for testing

[MaanavD]

ORT 1.19 will be released soon, and release candidate builds are now available for testing. If you encounter issues, please report them ASAP by responding to this issue and tagging myself and @prathikr.

Release branch: rel-1.19.0 Release manager: @prathikr

Here's the updated table with the entries shortened to just the build number and relevant descriptors added:

Python Whls	Nuget	NPM	CocoaPods	Maven (Java)
CPU: 1.19.0.dev20240805002	Managed: 1.19.0-dev-20240805-1630	Node: 1.19.0-dev.20240804	pod 'onnxruntime-c', '1.19.0-dev+20240805002.ee2fe87'	CPU: 1.19.0-rc1
GPU: 1.19.0.dev20240731002	CPU: 1.19.0-dev-20240805-1630	React Native: 1.19.0-dev.20240804	pod 'onnxruntime-objc', '1.19.0-dev+20240805002.ee2fe87'	GPU: 1.19.0-rc1
DirectML: 1.19.0.dev20240805002	GPU: 1.19.0-dev-20240805-0337	Web: 1.19.0-dev.20240804	pod 'onnxruntime-training-c', '1.19.0-dev+20240805002.ee2fe87'
	WindowsAI: 1.19.0-dev-20240805-0131		pod 'onnxruntime-training-objc', '1.19.0-dev+20240805002.ee2fe87'
	DirectML: 1.19.0-dev-20240805-1630
	Training: 1.19.0-dev-20240805-0942

[Djdefrag]

#20713

@MaanavD @prathikr Hi, this issue has been fixed? It was introduced with version 1.18 and seems to affect both C++ and Python

[MaanavD]

@Djdefrag currently looking into it :) Will let you know soon! If it hasn't been, we can discuss a patch release as I see this has been around for a while and I'd hate to see it not being addressed for you

[henryruhs]

DirectML (and probably ROCm) multi threading still being broken in that release is a stopper (in my opinion).

https://github.com/microsoft/onnxruntime/issues/20713

[Djdefrag]

@henryruhs

For me too. I am staying on 1.17.3 for now.

Have you also noticed a slowdown in inference speed with 1.19 compared to 1.17.3? Using DirectML (and only 1 thread) I noticed a regression in speed of 10%.