Onnxruntime-directml 1.18.0 broken multithreading inference session

[Djdefrag]

Describe the issue

With the new version 1.18 it seems that trying to use different InferenceSession using the same DirectML device, all threads remain stalled without giving any exception or error

To reproduce

Thread 1

 AI_model_loaded = onnx_load(AI_model_path)

AI_model = onnxruntime_inferenceSession(
    path_or_bytes = AI_model_loaded.SerializeToString(), 
    providers =  [('DmlExecutionProvider', {"device_id": "0"})]
)    

onnx_input  = {AI_model.get_inputs()[0].name: image}
onnx_output = AI_model.run(None, onnx_input)[0]

Thread n (where n can be any number)

AI_model_loaded = onnx_load(AI_model_path)

AI_model = onnxruntime_inferenceSession(
    path_or_bytes = AI_model_loaded.SerializeToString(), 
    providers =  [('DmlExecutionProvider', {"device_id": "0"})]
)    

onnx_input  = {AI_model.get_inputs()[0].name: image}
onnx_output = AI_model.run(None, onnx_input)[0]

Urgency

No response

Platform

Windows

OS Version

10

ONNX Runtime Installation

Released Package

ONNX Runtime Version or Commit ID

1.18.0

ONNX Runtime API

Python

Architecture

X64

Execution Provider

DirectML

Execution Provider Library Version

1.18.0

[sophies927]

Tagging @PatriceVignola @smk2007 @fdwr for visibility.