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.

まず、TensorFlow モデルで pzmm.PickleModel.pickleTrainedModel() の TypeError を再現し、次に、要求されている動作を TensorFlow の save() および load_model() ワークフローと比較します。完了の条件は、Model Manager が TensorFlow モデルを扱うための合意済みでテストされた方法が確立されること、または直接の pickling がサポートされない場合に文書化された代替手段が用意されることです。