class_docstr: This class implements an encoder model using the TensorFlow framework.
class_docstr_tok: ["This","class","implements","an","encoder","model","using","the","TensorFlow","framework","."]
docstr: No gradients to compute for this method; do nothing.
docstr_tok: ["No","gradients","to","compute","for","this","method",";","do","nothing","."]
code: def loss_gradient(
      self, x: "np.ndarray", y: "np.ndarray", **kwargs
  ) -> "np.ndarray":  # pylint: disable=W0221
      """
      No gradients to compute for this method; do nothing.
      """
      raise NotImplementedError
  
file_path: adversarial-robustness-toolbox/art/estimators/encoding/tensorflow.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  from typing import Any, Dict, List, Optional, Union, Tuple, TYPE_CHECKING
  from art.estimators.encoding.encoder import EncoderMixin
  from art.estimators.tensorflow import TensorFlowEstimator
label_desc: Use image node_id 10 for calling the TensorFlowEncoder obj's underlying member method code with example usage: obj.loss_gradient(x, y) without return types