使用估计器在java中加载/服务tensorflow模型时的问题

我使用了人口普查数据,并使用tensorflow中的估计器api创建了一个广泛而深入的模型。在Java中加载模型时,似乎出现了一个错误,无法加载模型。异常看起来像

Exception in thread "main" org.tensorflow.TensorFlowException: Op type not 
registered 'SparseFeatureCross' in binary running on gmalhotra-mba-2.local. 
Make sure the Op and Kernel are registered in the binary running in this 
process.
at org.tensorflow.SavedModelBundle.load(Native Method)
at org.tensorflow.SavedModelBundle.load(SavedModelBundle.java:39)
at deeplearning.DeepLearningTest.main(DeepLearningTest.java:32)

请查找以下用于保存模型的python代码: https://gist.github.com/gaganmalhotra/cd6a5898b9caf9005a05c8831a9b9153

使用的Java代码如下:

    public static void main(String[] args) {
          try (SavedModelBundle b = SavedModelBundle.load("/Users/gagandeep.malhotra/Documents/SampleTF_projects/temporaryModel/1510624417/", "serve")) {


    Session sess = b.session();

                //Create the input sensor 
                  float[][] mat=new float[1][1];
                  mat[0]=new float[]{0.5f};

                // create tensors specific to inputs ....

                Tensor<?> x = (Tensor<?>) Tensor.create(mat);

                //run the model 
                float[][] y = sess.runner()
                        .feed("input", x)
                        .fetch("output")
                        .run()
                        .get(0)
                        .copyTo(new float[1][1]);               

               //print the result
                System.out.println(y[0][0]);
}

PS:使用的Tensorflow版本:1.3