class_docstr: Estimator class for TensorFlow v2 models.
class_docstr_tok: ["Estimator","class","for","TensorFlow","v2","models","."]
code: def _check_params(self) -> None:
      from art.defences.preprocessor.preprocessor import (
          PreprocessorTensorFlowV2,
      )
  
      super()._check_params()
      self.all_framework_preprocessing = all(
          (
              isinstance(p, PreprocessorTensorFlowV2)
              for p in self.preprocessing_operations
          )
      )
  
imports: import logging
  from typing import Any, Tuple, TYPE_CHECKING
  import numpy
  from art import config
  from art.estimators.estimator import BaseEstimator, LossGradientsMixin, NeuralNetworkMixin
label_desc: Use image node_id 5 for calling the TensorFlowV2Estimator obj's underlying member method code with example usage: obj._check_params() without return types