bf635f90dae66e4ddd3e1f342dca925b3c99faf7,foolbox/attacks/binarization.py,BinarizationRefinementAttack,__call__,#,9

Before Change

        assert o.dtype == x.dtype
        dtype = o.dtype

        if dtype == o.backend.float16:
            nptype = np.float16
        elif dtype == o.backend.float32:
            nptype = np.float32
        elif dtype == o.backend.float64:
            nptype = np.float64
        else:
            raise ValueError(
                "expected dtype to be float16, float32 or float64, found "{dtype}""
            )

        threshold = nptype(threshold)
        offset = nptype(1.0)

        if included_in == "lower":

After Change

        
        (o, x), restore_type = ep.astensors_(inputs, starting_points)
        del inputs

        criterion = get_criterion(criterion)
        is_adversarial = get_is_adversarial(criterion, model)

Instances