diff --git a/tensorflow/python/framework/function.py b/tensorflow/python/framework/function.py
index ffac7d1eb36..d287ea2fcd4 100644
--- a/tensorflow/python/framework/function.py
+++ b/tensorflow/python/framework/function.py
@@ -352,6 +352,21 @@ class _DefinedFunction(object):
     if self._definition is not None or self._c_func is not None:
       return
 
+    # Copy variable collections (by reference) from the parent graph such that
+    # name based variable sharing (e.g. via tf.make_template) works between the
+    # func graph and parent graph.
+    variable_keys = []
+    variable_keys.extend(ops.GraphKeys._VARIABLE_COLLECTIONS)  # pylint: disable=protected-access
+    variable_keys.append(vs._VARSTORE_KEY)  # pylint: disable=protected-access
+
+    collections_ref = {}
+    parent_collections_ref = ops.get_default_graph()._collections  # pylint: disable=protected-access
+    for key in variable_keys:
+      if key not in parent_collections_ref:
+        parent_collections_ref[key] = collections_ref[key] = []
+      else:
+        collections_ref[key] = parent_collections_ref[key]
+
     temp_graph = func_graph_from_py_func(
         self._func,
         self._arg_names,
@@ -359,6 +374,7 @@ class _DefinedFunction(object):
         self._func_name,
         self._capture_by_value,
         self._caller_device,
+        collections_ref=collections_ref,
         whitelisted_stateful_ops=self._whitelisted_stateful_ops,
         capture_resource_var_by_value=self._capture_resource_var_by_value)
 
diff --git a/tensorflow/python/framework/function_test.py b/tensorflow/python/framework/function_test.py
index 21c6565ca97..57f50b888f5 100644
--- a/tensorflow/python/framework/function_test.py
+++ b/tensorflow/python/framework/function_test.py
@@ -47,6 +47,7 @@ from tensorflow.python.ops import logging_ops
 from tensorflow.python.ops import math_ops
 from tensorflow.python.ops import nn_ops
 from tensorflow.python.ops import random_ops
+from tensorflow.python.ops import template
 from tensorflow.python.ops import variable_scope
 from tensorflow.python.ops import variables
 from tensorflow.python.platform import test
@@ -1753,13 +1754,64 @@ class VariableHoistingTest(test.TestCase):
 
   @test_util.run_deprecated_v1
   def testBasic(self):
-    self._testSimpleModel(True)
     self._testSimpleModel(False)
+    self._testSimpleModel(True)
 
   @test_util.run_deprecated_v1
   def testBasicResource(self):
-    self._testSimpleModel(True, use_resource=True)
     self._testSimpleModel(False, use_resource=True)
+    self._testSimpleModel(True, use_resource=True)
+
+
+class TemplateTest(test.TestCase):
+
+  @test_util.run_v1_only("make_template not supported in TF2")
+  def testBasic(self):
+    self.assertTemplateVariableSharing(use_resource=True, defun_first=False)
+
+  @test_util.run_v1_only("make_template not supported in TF2")
+  def testBasicRef(self):
+    self.assertTemplateVariableSharing(use_resource=False, defun_first=False)
+
+  @test_util.run_v1_only("make_template not supported in TF2")
+  def testBasicDefunFirst(self):
+    self.assertTemplateVariableSharing(use_resource=True, defun_first=True)
+
+  @test_util.run_v1_only("make_template not supported in TF2")
+  def testBasicRefDefunFirst(self):
+    self.assertTemplateVariableSharing(use_resource=False, defun_first=True)
+
+  def assertTemplateVariableSharing(self, use_resource, defun_first):
+    parameters = []
+
+    def MakeModel(x):
+      w = variable_scope.get_variable(
+          "w", (64, 64),
+          initializer=init_ops.random_uniform_initializer(seed=312),
+          use_resource=use_resource)
+      b = variable_scope.get_variable(
+          "b", (64),
+          initializer=init_ops.zeros_initializer(),
+          use_resource=use_resource)
+      parameters.extend((w, b))
+      return math_ops.sigmoid(math_ops.matmul(x, w) + b)
+
+    model = template.make_template("f", MakeModel, create_scope_now_=True)
+
+    @function.Defun()
+    def ModelDefun(x):
+      return model(x)
+
+    x = array_ops.placeholder(dtypes.float32)
+    if defun_first:
+      ModelDefun(x)
+      model(x)
+    else:
+      model(x)
+      ModelDefun(x)
+    w1, b1, w2, b2 = parameters  # pylint: disable=unbalanced-tuple-unpacking
+    self.assertIs(w1, w2)
+    self.assertIs(b1, b2)
 
 
 class DevicePlacementTest(test.TestCase):