Fix saved_model_cli _print_tensor_info for REF types.

Fix #15611.

PiperOrigin-RevId: 180292752

tensorflow/python/tools/BUILD

@@ -251,6 +251,7 @@ py_test(
     tags = ["manual"],
     deps = [
         ":saved_model_cli",
+        "//tensorflow/core:protos_all_py",
     ],
 )
 

tensorflow/python/tools/saved_model_cli.py

@@ -152,7 +152,9 @@ def _print_tensor_info(tensor_info):
   Args:
     tensor_info: TensorInfo object to be printed.
   """
-  print('    dtype: ' + types_pb2.DataType.keys()[tensor_info.dtype])
+  print('    dtype: ' +
+        {value: key
+         for (key, value) in types_pb2.DataType.items()}[tensor_info.dtype])
   # Display shape as tuple.
   if tensor_info.tensor_shape.unknown_rank:
     shape = 'unknown_rank'

tensorflow/python/tools/saved_model_cli_test.py

@@ -28,6 +28,8 @@ import sys
 import numpy as np
 from six import StringIO
 
+from tensorflow.core.framework import types_pb2
+from tensorflow.core.protobuf import meta_graph_pb2
 from tensorflow.python.debug.wrappers import local_cli_wrapper
 from tensorflow.python.platform import test
 from tensorflow.python.tools import saved_model_cli
@@ -200,6 +202,14 @@ Method name is: tensorflow/serving/predict"""
     self.assertEqual(output, expected_output)
     self.assertEqual(err.getvalue().strip(), '')
 
+  def testPrintREFTypeTensor(self):
+    ref_tensor_info = meta_graph_pb2.TensorInfo()
+    ref_tensor_info.dtype = types_pb2.DT_FLOAT_REF
+    with captured_output() as (out, err):
+      saved_model_cli._print_tensor_info(ref_tensor_info)
+    self.assertTrue('DT_FLOAT_REF' in out.getvalue().strip())
+    self.assertEqual(err.getvalue().strip(), '')
+
   def testInputPreProcessFormats(self):
     input_str = 'input1=/path/file.txt[ab3];input2=file2'
     input_expr_str = 'input3=np.zeros([2,2]);input4=[4,5]'
@@ -217,7 +227,6 @@ Method name is: tensorflow/serving/predict"""
     input_str = (r'inputx=C:\Program Files\data.npz[v:0];'
                  r'input:0=c:\PROGRA~1\data.npy')
     input_dict = saved_model_cli.preprocess_inputs_arg_string(input_str)
-    print(input_dict)
     self.assertTrue(input_dict['inputx'] == (r'C:\Program Files\data.npz',
                                              'v:0'))
     self.assertTrue(input_dict['input:0'] == (r'c:\PROGRA~1\data.npy', None))