adversarial_tools.py 文件源码

def wordwise_grads(self, feature_vectors):
        sess = K.get_session()
        grad_sum = sess.run(self.grad_sum_tensor, feed_dict={
            self.input_tensor: feature_vectors,
            keras.backend.learning_phase(): 0
        })
        return grad_sum