Set export_outs in KMeans' EstimatorSpec.

PiperOrigin-RevId: 183154542

tensorflow/contrib/factorization/python/ops/kmeans.py

@@ -25,6 +25,7 @@ import time
 from tensorflow.contrib.factorization.python.ops import clustering_ops
 from tensorflow.python.estimator import estimator
 from tensorflow.python.estimator import model_fn as model_fn_lib
+from tensorflow.python.estimator.export import export_output
 from tensorflow.python.framework import ops
 from tensorflow.python.ops import array_ops
 from tensorflow.python.ops import control_flow_ops
@@ -32,6 +33,7 @@ from tensorflow.python.ops import math_ops
 from tensorflow.python.ops import metrics
 from tensorflow.python.ops import state_ops
 from tensorflow.python.platform import tf_logging as logging
+from tensorflow.python.saved_model import signature_constants
 from tensorflow.python.summary import summary
 from tensorflow.python.training import session_run_hook
 from tensorflow.python.training import training_util
@@ -207,6 +209,15 @@ class _ModelFn(object):
       training_hooks.append(
           _LossRelativeChangeHook(loss, self._relative_tolerance))
 
+    export_outputs = {
+        KMeansClustering.ALL_DISTANCES:
+            export_output.PredictOutput(all_distances[0]),
+        KMeansClustering.CLUSTER_INDEX:
+            export_output.PredictOutput(model_predictions[0]),
+        signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY:
+            export_output.PredictOutput(model_predictions[0])
+    }
+
     return model_fn_lib.EstimatorSpec(
         mode=mode,
         predictions={
@@ -216,7 +227,8 @@ class _ModelFn(object):
         loss=loss,
         train_op=training_op,
         eval_metric_ops={KMeansClustering.SCORE: metrics.mean(loss)},
-        training_hooks=training_hooks)
+        training_hooks=training_hooks,
+        export_outputs=export_outputs)
 
 
 # TODO(agarwal,ands): support sharded input.