7bdca3ab9d1a73b0211dcf7cb8ed44ba5fab486b,art/classifiers/tensorflow.py,TensorflowV2Classifier,loss_gradient,#TensorflowV2Classifier#Any#Any#,837

Before Change

        else:
            x_preprocessed_tf = tf.convert_to_tensor(x_preprocessed)
            predictions = self._model(x_preprocessed_tf)
            loss = self._loss_object(np.argmax(y, axis=1), predictions)
            gradients = tf.gradients(loss, x_preprocessed_tf).numpy()

        // Apply preprocessing gradients
        gradients = self._apply_preprocessing_gradient(x, gradients)

After Change

            gradients = tape.gradient(loss, x_preprocessed_tf).numpy()
        else:
            raise ValueError("Expecting eager execution.")

        // Apply preprocessing gradients
        gradients = self._apply_preprocessing_gradient(x, gradients)

Instances