Use PZMM to Save Tensorflow Model

I was working with a customer who was trying to use the pzmm.PickleModel.pickleTrainedModel() function on a TensorFlow model, but they were getting a 'TypeError: can't pickle weakref objects'. My ideal solution would be to for the PickleTrainedModel() function to have the ability to ingest Tensorflow models or have a similar function available for Tensorflow models. For now, I think the work-around would be to use Tensorflow's save() function to save the model, make that model available to Model Manager, and then edit the score code to use Tensorflow's load_model() function instead of un-pickling the model, but I am open to other work-around ideas.

Commencez par reproduire le TypeError de pzmm.PickleModel.pickleTrainedModel() avec un modèle TensorFlow, puis comparez le comportement demandé avec le workflow save() et load_model() de TensorFlow. La tâche sera considérée comme terminée lorsqu’une méthode convenue et testée permettra à Model Manager de gérer les modèles TensorFlow, ou lorsqu’une alternative documentée existera si le pickling direct n’est pas pris en charge.