class_docstr: A storage for persisting results and managing state.
class_docstr_tok: ["A","storage","for","persisting","results","and","managing","state","."]
docstr: Stores a model and its metadata.
docstr_tok: ["Stores","a","model","and","its","metadata","."]
code: def save_model(self, model_container: ModelContainer):
      """Stores a model and its metadata."""
      # TODO: How do we enforce that save_model is called only once per
      # model?
      pass
  
file_path: adanet/adanet/experimental/storages/storage.py
imports: import abc
  from typing import Iterable, List
  import tensorflow.compat.v2
label_desc: Use image node_id 1 for calling the Storage obj's underlying member method code with example usage: obj.save_model(model_container) without return types