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diff --git a/tensorflow/python/autograph/operators/py_builtins_test.py b/tensorflow/python/autograph/operators/py_builtins_test.py
new file mode 100644
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+++ b/tensorflow/python/autograph/operators/py_builtins_test.py
@@ -0,0 +1,131 @@
+# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
+"""Tests for py_builtins module."""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import sys
+
+import six
+
+from tensorflow.python.autograph.operators import data_structures
+from tensorflow.python.autograph.operators import py_builtins
+from tensorflow.python.framework import constant_op
+from tensorflow.python.framework import dtypes
+from tensorflow.python.framework import errors_impl
+from tensorflow.python.ops import array_ops
+from tensorflow.python.ops import tensor_array_ops
+from tensorflow.python.platform import test
+
+
+class PyBuiltinsTest(test.TestCase):
+
+  def test_abs(self):
+    self.assertEqual(py_builtins.abs_(-1), 1)
+    with self.test_session() as sess:
+      t = py_builtins.abs_(constant_op.constant(-1))
+      self.assertEqual(sess.run(t), 1)
+      t = py_builtins.abs_(constant_op.constant([-1, 2, -3]))
+      self.assertAllEqual(sess.run(t), [1, 2, 3])
+
+  def test_float(self):
+    self.assertEqual(py_builtins.float_(10), 10.0)
+    self.assertEqual(py_builtins.float_('10.0'), 10.0)
+    with self.test_session() as sess:
+      t = py_builtins.float_(constant_op.constant(1, dtype=dtypes.int64))
+      self.assertEqual(sess.run(t), 1.0)
+      st = py_builtins.float_(constant_op.constant('1.0'))
+      self.assertEqual(sess.run(st), 1.0)
+
+  def test_int(self):
+    self.assertEqual(py_builtins.int_(10.0), 10)
+    self.assertEqual(py_builtins.int_('11', 2), 3)
+    with self.test_session() as sess:
+      t = py_builtins.int_(constant_op.constant(1, dtype=dtypes.float64))
+      self.assertEqual(sess.run(t), 1)
+      st = py_builtins.int_(constant_op.constant('1'))
+      self.assertEqual(sess.run(st), 1)
+      st = py_builtins.int_(constant_op.constant('1'), 10)
+      self.assertEqual(sess.run(st), 1)
+
+  def test_int_unsupported_base(self):
+    t = constant_op.constant(1, dtype=dtypes.float64)
+    with self.assertRaises(NotImplementedError):
+      py_builtins.int_(t, 2)
+
+  def test_len(self):
+    self.assertEqual(py_builtins.len_([1, 2, 3]), 3)
+    with self.test_session() as sess:
+      t = py_builtins.len_(constant_op.constant([[1], [2], [3]]))
+      self.assertEqual(t, 3)
+      ta = py_builtins.len_(tensor_array_ops.TensorArray(dtypes.int32, size=5))
+      self.assertEqual(sess.run(ta), 5)
+      tl = py_builtins.len_(data_structures.tf_tensor_list_new([3, 4, 5]))
+      self.assertEqual(sess.run(tl), 3)
+
+  def test_len_scalar(self):
+    with self.assertRaises(ValueError):
+      py_builtins.len_(constant_op.constant(1))
+
+  def test_len_dynamic_shape(self):
+    with self.test_session() as sess:
+      p = array_ops.placeholder(dtype=dtypes.int32, shape=None)
+      t = py_builtins.len_(p)
+      self.assertEqual(sess.run(t, {p: [1, 2, 3]}), 3)
+
+      with self.assertRaises(errors_impl.InvalidArgumentError):
+        t = py_builtins.len_(p)
+        sess.run(t, {p: 1})
+
+  def test_print_tensors(self):
+    try:
+      out_capturer = six.StringIO()
+      sys.stdout = out_capturer
+      with self.test_session() as sess:
+        sess.run(py_builtins.print_(constant_op.constant('test message'), 1))
+        self.assertEqual(out_capturer.getvalue(), 'test message 1\n')
+    finally:
+      sys.stdout = sys.__stdout__
+
+  def test_print_complex(self):
+    try:
+      out_capturer = six.StringIO()
+      sys.stdout = out_capturer
+      with self.test_session() as sess:
+        sess.run(
+            py_builtins.print_(constant_op.constant('test message'), [1, 2]))
+        self.assertEqual(out_capturer.getvalue(), 'test message [1, 2]\n')
+    finally:
+      sys.stdout = sys.__stdout__
+
+  def test_range(self):
+    self.assertListEqual(list(py_builtins.range_(3)), [0, 1, 2])
+    self.assertListEqual(list(py_builtins.range_(1, 3)), [1, 2])
+    self.assertListEqual(list(py_builtins.range_(2, 0, -1)), [2, 1])
+
+  def test_range_tensor(self):
+    with self.test_session() as sess:
+      r = py_builtins.range_(constant_op.constant(3))
+      self.assertAllEqual(sess.run(r), [0, 1, 2])
+      r = py_builtins.range_(1, constant_op.constant(3))
+      self.assertAllEqual(sess.run(r), [1, 2])
+      r = py_builtins.range_(2, 0, constant_op.constant(-1))
+      self.assertAllEqual(sess.run(r), [2, 1])
+
+
+if __name__ == '__main__':
+  test.main()