From 7bf8ccdb4ef5b0b28c1cf0d5084e07ffbf0e2703 Mon Sep 17 00:00:00 2001
From: Yutaka Leon <yleon@google.com>
Date: Wed, 24 Jan 2018 15:45:55 -0800
Subject: [PATCH] Set export_outs in KMeans' EstimatorSpec.

PiperOrigin-RevId: 183154542
---
 .../contrib/factorization/python/ops/kmeans.py     | 14 +++++++++++++-
 1 file changed, 13 insertions(+), 1 deletion(-)

diff --git a/tensorflow/contrib/factorization/python/ops/kmeans.py b/tensorflow/contrib/factorization/python/ops/kmeans.py
index 9a5413fc3f2..4d0f9b24240 100644
--- a/tensorflow/contrib/factorization/python/ops/kmeans.py
+++ b/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.