Models deployed in Windows 2019 server gets stuck in model.load

Hi ML.net Team,
I have an issue reported from another customer reported here on Azure support channel by Mistake.
I suggested to report issue here, but it seems customer has not reported yet.

Customer is complaining that after upgrading to windows 19 server (Does not work) from windows 12 server(works)
Their model deployment is not working and gets an exception in middle while loading the model.

**Errors**
Error: Tensorflow exception triggered while loading model. at Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
at Microsoft.ML.TensorFlow.TensorFlowUtils.GetSession(IHostEnvironment env, String modelPath, Boolean metaGraph)
at Microsoft.ML.Vision.ImageClassificationTrainer.LoadTensorFlowSessionFromMetaGraph(IHostEnvironment env, Architecture arch)
at Microsoft.ML.Vision.ImageClassificationTrainer.InitializeTrainingGraph(IDataView input)
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext)
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor)
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input)
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
at TestImageClassificationCore.ImageClassificationClass.TrainImages(XmlDocument qualityXML) in C:\Users\1012377\source\repos\TestImageClassificationCore\ImageClassificationClass.cs:line 359

ITransformer trainedModel = trainingPipeline.Fit(trainSet)

Could you please share any insights or remedials for above issue