diff --git a/tensorflow/python/distribute/distribute_utils.py b/tensorflow/python/distribute/distribute_utils.py
index 1ecf3c065c4..633cc2a3582 100644
--- a/tensorflow/python/distribute/distribute_utils.py
+++ b/tensorflow/python/distribute/distribute_utils.py
@@ -18,6 +18,8 @@ from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
 
+from collections import abc
+
 from tensorflow.python.distribute import tpu_values as tpu_values_lib
 from tensorflow.python.distribute import values as values_lib
 from tensorflow.python.eager import context
@@ -68,10 +70,10 @@ def regroup(values, wrap_class=values_lib.PerReplica, always_wrap=False):
     else:
       return regrouped_tuple
 
-  if isinstance(v0, dict):
+  if isinstance(v0, abc.Mapping):
     v0keys = v0.keys()
     for v in values[1:]:
-      assert isinstance(v, dict), ("v[0]: %r  v[i]: %r" % (v0, v))
+      assert isinstance(v, abc.Mapping), ("v[0]: %r  v[i]: %r" % (v0, v))
       assert set(v.keys()) == set(v0keys), ("v[0].keys: %s  v[i].keys: %s" %
                                             (set(v0keys), set(v.keys())))
     # Use the actual type in case it is a class inherited from a dict.
diff --git a/tensorflow/python/distribute/distribute_utils_test.py b/tensorflow/python/distribute/distribute_utils_test.py
index 22ea6264d07..fd63c4949ef 100644
--- a/tensorflow/python/distribute/distribute_utils_test.py
+++ b/tensorflow/python/distribute/distribute_utils_test.py
@@ -85,6 +85,29 @@ class RegroupAndSelectDeviceTest(test.TestCase, parameterized.TestCase):
     self._is_per_replica(result["a"], ["a1", "a2"])
     self._is_per_replica(result["b"], ["b1", "b2"])
 
+  def testRegroupCollectionsMapping(self):
+    class CollectionsMappingBasedClass(collections.Mapping):
+      """Class inherited from collections.Mapping."""
+
+      def __init__(self, *args, **kwargs):
+        self._d = dict(*args, **kwargs)
+
+      def __getitem__(self, key):
+        return self._d.__getitem__(key)
+
+      def __iter__(self):
+        return iter(self._d)
+
+      def __len__(self):
+        return len(self._d)
+
+    result = distribute_utils.regroup(
+        (CollectionsMappingBasedClass(a="a1", b="b1"),
+         CollectionsMappingBasedClass(a="a2", b="b2")))
+    self.assertIsInstance(result, CollectionsMappingBasedClass)
+    self._is_per_replica(result["a"], ["a1", "a2"])
+    self._is_per_replica(result["b"], ["b1", "b2"])
+
   def testWrapClass(self):
     # Normally a mirrored value would be the same across devices, but
     # for a test it is convenient to be able to tell the values apart.