title: Issue while loading/serving tensorflow model in java using estimators
body: <p>I used the census data and created a wide and deep model using the estimators api in tensorflow. While loading the model in Java, there seems to be an error which doesn't let the model to be loaded. Exception looks like </p>
  
  <pre><code>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)
  </code></pre>
  
  <p>Please find the python code below used for saving the model: 
  <a href="https://gist.github.com/gaganmalhotra/cd6a5898b9caf9005a05c8831a9b9153" rel="nofollow noreferrer">https://gist.github.com/gaganmalhotra/cd6a5898b9caf9005a05c8831a9b9153</a></p>
  
  <p>Java code used is as follows:</p>
  
  <pre><code>    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&lt;?&gt; x = (Tensor&lt;?&gt;) 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]);
  }
  </code></pre>
  
  <p>PS : Tensorflow version used: 1.3</p>