class_docstr: This class implements a classifier with the TensorFlow v2 framework.
class_docstr_tok: ["This","class","implements","a","classifier","with","the","TensorFlow","v2","framework","."]
docstr: Save a model to file in the format specific to the backend framework. For TensorFlow, .ckpt is used.
  
  :param filename: Name of the file where to store the model.
  :param path: Path of the folder where to store the model. If no path is specified, the model will be stored in
               the default data location of the library `ART_DATA_PATH`.
docstr_tok: ["Save","a","model","to","file","in","the","format","specific","to","the","backend","framework",".","For","TensorFlow",",",".ckpt","is","used",".",":","param","filename",":","Name","of","the","file","where","to","store","the","model",".",":","param","path",":","Path","of","the","folder","where","to","store","the","model",".","If","no","path","is","specified",",","the","model","will","be","stored","in","the","default","data","location","of","the","library","`","ART_DATA_PATH","`","."]
code: def save(self, filename: str, path: Optional[str] = None) -> None:
      """
      Save a model to file in the format specific to the backend framework. For TensorFlow, .ckpt is used.
  
      :param filename: Name of the file where to store the model.
      :param path: Path of the folder where to store the model. If no path is specified, the model will be stored in
                   the default data location of the library `ART_DATA_PATH`.
      """
      raise NotImplementedError
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import os
  import random
  import shutil
  import time
  from typing import Any, Callable, Dict, List, Optional, Tuple, Union, TYPE_CHECKING
  from tqdm.auto import tqdm
  import numpy
  import six
  from art import config
  from art.estimators.classification.classifier import ClassGradientsMixin, ClassifierMixin
  from art.estimators.tensorflow import TensorFlowEstimator, TensorFlowV2Estimator
  from art.utils import check_and_transform_label_format
label_desc: Use image node_id 19 for calling the TensorFlowV2Classifier obj's underlying member method code with example usage: obj.save(filename, path) without return types