class_docstr: Base class for all models.
class_docstr_tok: ["Base","class","for","all","models","."]
code: def __init__(self, **kwargs):
      super().__init__(**kwargs)
      self._losses_dict = {}
  
file_path: ddsp/ddsp/training/models/model.py
imports: import time
  from absl import logging
  import ddsp
  from ddsp.core import copy_if_tf_function
  from ddsp.training import train_util
  import tensorflow
label_desc: Use image node_id 1 to create a new Model object from inherited base classes: tf.keras with example: obj = Model()