Make sure the name of the learning phase tensor is independent of any outer name scope.

PiperOrigin-RevId: 231328536

tensorflow/python/keras/backend.py

@@ -215,8 +215,9 @@ def clear_session():
   _SESSION.session = None
   graph = get_graph()
   with graph.as_default():
-    phase = array_ops.placeholder_with_default(
-        False, shape=(), name='keras_learning_phase')
+    with ops.name_scope(''):
+      phase = array_ops.placeholder_with_default(
+          False, shape=(), name='keras_learning_phase')
     _GRAPH_LEARNING_PHASES = {}
     _GRAPH_LEARNING_PHASES[graph] = phase
     _GRAPH_VARIABLES.pop(graph, None)
@@ -275,8 +276,9 @@ def symbolic_learning_phase():
   graph = get_graph()
   with graph.as_default():
     if graph not in _GRAPH_LEARNING_PHASES:
-      phase = array_ops.placeholder_with_default(
-          False, shape=(), name='keras_learning_phase')
+      with ops.name_scope(''):
+        phase = array_ops.placeholder_with_default(
+            False, shape=(), name='keras_learning_phase')
       _GRAPH_LEARNING_PHASES[graph] = phase
     return _GRAPH_LEARNING_PHASES[graph]
 

tensorflow/python/keras/backend_test.py

@@ -119,6 +119,12 @@ class BackendUtilsTest(test.TestCase):
           self.evaluate(variables.global_variables_initializer())
           sess.run(y, feed_dict={x: np.random.random((2, 3))})
 
+  def test_learning_phase_name(self):
+    with ops.name_scope('test_scope'):
+      # Test that outer name scopes do not affect the learning phase's name.
+      lp = keras.backend.symbolic_learning_phase()
+    self.assertEqual(lp.name, 'keras_learning_phase:0')
+
   def test_learning_phase_scope(self):
     initial_learning_phase = keras.backend.learning_phase()
     with keras.backend.learning_phase_scope(1):