class_docstr: This class implements a classifier with the TensorFlow framework.
class_docstr_tok: ["This","class","implements","a","classifier","with","the","TensorFlow","framework","."]
code: def __repr__(self):
      repr_ = (
          f"{self.__module__ + '.' + self.__class__.__name__}(input_ph={self.input_ph!r}, output={self.output!r}, "
          f"labels_ph={self.labels_ph!r}, train={self.train!r}, loss={self._loss!r}, learning={self.learning!r}, "
          f"sess={self._sess!r}, channels_first={self.channels_first}, clip_values={self.clip_values!r}, "
          f"preprocessing_defences={self.preprocessing_defences}, "
          f"postprocessing_defences={self.postprocessing_defences}, preprocessing={self.preprocessing})"
      )
  
      return repr_
  
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 23 for calling the TensorFlowClassifier obj's underlying member method code with example usage: obj.__repr__() and returns: repr_