Fix LGTM alert

Signed-off-by: Beat Buesser <[email protected]>

Author: Beat Buesser

art/estimators/estimator.py

@@ -81,8 +81,8 @@ def __init__(
         self.preprocessing_defences = self._set_preprocessing_defences(preprocessing_defences)
         self.postprocessing_defences = self._set_postprocessing_defences(postprocessing_defences)
         self.preprocessing_operations: List["Preprocessor"] = []
-        self._update_preprocessing_operations()
-        self._check_params()
+        BaseEstimator._update_preprocessing_operations(self)
+        BaseEstimator._check_params(self)
 
     def _update_preprocessing_operations(self):
         from art.defences.preprocessor.preprocessor import Preprocessor

art/estimators/pytorch.py

@@ -72,6 +72,8 @@ def __init__(self, device_type: str = "gpu", **kwargs) -> None:
             cuda_idx = torch.cuda.current_device()
             self._device = torch.device("cuda:{}".format(cuda_idx))
 
+        PyTorchEstimator._check_params(self)
+
     def predict(self, x: np.ndarray, batch_size: int = 128, **kwargs):
         """
         Perform prediction of the neural network for samples `x`.

art/estimators/tensorflow.py

@@ -117,6 +117,8 @@ def __init__(self, **kwargs):
             kwargs["preprocessing"] = StandardisationMeanStdTensorFlowV2(mean=preprocessing[0], std=preprocessing[1])
 
         super().__init__(**kwargs)
+        TensorFlowV2Estimator._check_params(self)
+
 
     def predict(self, x: np.ndarray, batch_size: int = 128, **kwargs):
         """