class_docstr: This class implements a regressor with the PyTorch framework.
class_docstr_tok: ["This","class","implements","a","regressor","with","the","PyTorch","framework","."]
code: def __repr__(self):
      repr_ = (
          f"{self.__module__ + '.' + self.__class__.__name__}(model={self._model}, loss={self._loss}, "
          f"optimizer={self._optimizer}, input_shape={self._input_shape}, "
          f"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 copy
  import logging
  import os
  import time
  from typing import Any, Dict, List, Optional, Tuple, Union, TYPE_CHECKING
  import numpy
  import six
  from art import config
  from art.estimators.regression.regressor import RegressorMixin
  from art.estimators.pytorch import PyTorchEstimator
label_desc: Use image node_id 25 for calling the PyTorchRegressor obj's underlying member method code with example usage: obj.__repr__() and returns: repr_