aee9922d07b5ba9462155da4127e241c4435edb5,art/attacks/evasion/projected_gradient_descent/projected_gradient_descent_tensorflow_v2.py,ProjectedGradientDescentTensorFlowV2,generate,#ProjectedGradientDescentTensorFlowV2#Any#Any#,112

Before Change

        targets = self._set_targets(x, y)

        // Get the mask
        mask = self._get_mask(x, **kwargs)

        // Create dataset
        if mask is not None:
            // Here we need to make a distinction: if the masks are different for each input, we need to index

After Change

        
        import tensorflow as tf  // lgtm [py/repeated-import]

        mask = kwargs.get("mask")

        // Check the mask
        if mask is not None and (len(mask.shape) > len(x.shape) or mask.shape != x.shape[-len(mask.shape):]):
            raise ValueError("Mask shape must be broadcastable to input shape.")

        // Check whether random eps is enabled
        self._random_eps()

        // Set up targets
        targets = self._set_targets(x, y)

Instances