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Signed-off-by: Beat Buesser <[email protected]>
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art/estimators/certification/randomized_smoothing/randomized_smoothing.py

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@@ -100,7 +100,7 @@ def predict(self, x: np.ndarray, batch_size: int = 128, verbose: bool = False, *
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# get class counts
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counts_pred = self._prediction_counts(x_i, batch_size=batch_size)
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top = counts_pred.argsort()[::-1]
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# conversion to int
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# conversion to int
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count1 = int(np.max(counts_pred))
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count2 = int(counts_pred[top[1]])
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