Describe the feature request

I have an existing TPL pipeline (https://learn.microsoft.com/en-us/dotnet/api/system.threading.tasks.dataflow.dataflowblockoptions.taskscheduler?view=net-7.0https://github.com/dotnet/runtime/tree/main/src/libraries/System.Threading.Tasks.Dataflow). I'd like to use CPU-backed ONNX models in its threads.

How can I do it properly?

I guess there should be some custom ThreadPool threads init function that loads the ONNX model?

If the functions are lightweight, then it's critical that every thread has its own loaded ONNX model and loads it only once

Describe scenario use case

Migrating existing TPL pipeline to using python/ONNX-exported graphs in its components