f9dd2e3636db61ee1b4d32ee4f494fd9e71adc12,cleverhans/attacks.py,FastGradientMethod,generate_np,#FastGradientMethod#Any#Any#,159

Before Change

            assert self.y is not None, error

        // Define batch_eval function common to both backends
        eval_params = {"batch_size": params["batch_size"]}
        if self.back == "tf":
            from .utils_tf import batch_eval

After Change

            input_shape = list(X.shape)
            input_shape[0] = None
            self._x = tf.placeholder(tf.float32, shape=input_shape)
            self._x_adv = self.generate(self._x)

        // Run symbolic graph without or with true labels
        if params["Y"] is None:
            feed_dict = {self._x: X}

Instances