class_docstr: Estimator class for PyTorch models.
class_docstr_tok: ["Estimator","class","for","PyTorch","models","."]
code: def _check_params(self) -> None:
      from art.defences.preprocessor.preprocessor import (
          PreprocessorPyTorch,
      )
  
      super()._check_params()
      self.all_framework_preprocessing = all(
          (
              isinstance(p, PreprocessorPyTorch)
              for p in self.preprocessing_operations
          )
      )
  
file_path: adversarial-robustness-toolbox/art/estimators/pytorch.py
imports: import logging
  from typing import TYPE_CHECKING, Any, List, Tuple
  import numpy
  from art.estimators.estimator import BaseEstimator, LossGradientsMixin, NeuralNetworkMixin
label_desc: Use image node_id 6 for calling the PyTorchEstimator obj's underlying member method code with example usage: obj._check_params() without return types