class_docstr: The abstract base class that represents a custom TensorFlow model.
class_docstr_tok: ["The","abstract","base","class","that","represents","a","custom","TensorFlow","model","."]
docstr: Prints a summary of the model.
docstr_tok: ["Prints","a","summary","of","the","model","."]
code: def summary(self):
      """Prints a summary of the model."""
      self._model.summary()
  
file_path: mediapipe/mediapipe/model_maker/python/core/tasks/custom_model.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  import os
  from typing import Any, Callable, Optional
  import tensorflow
  from mediapipe.model_maker.python.core.data import dataset
  from mediapipe.model_maker.python.core.utils import model_util
  from mediapipe.model_maker.python.core.utils import quantization
label_desc: Use image node_id 3 for calling the CustomModel obj's underlying member method code with example usage: obj.summary() without return types