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diff --git a/tensorflow/python/kernel_tests/unicode_script_op_test.py b/tensorflow/python/kernel_tests/unicode_script_op_test.py
new file mode 100644
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+++ b/tensorflow/python/kernel_tests/unicode_script_op_test.py
@@ -0,0 +1,57 @@
+# Copyright 2018 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.
+#===============================================================================
+"""Functional tests for UnicodeScript op."""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+from tensorflow.python.framework import constant_op
+from tensorflow.python.framework import dtypes
+from tensorflow.python.ops import string_ops
+from tensorflow.python.platform import test
+
+
+class UnicodeScriptOpTest(test.TestCase):
+
+  def testValidScripts(self):
+    inputs = [
+        ord("a"),
+        0x0411,  # CYRILLIC CAPITAL LETTER BE
+        0x82b8,  # CJK UNIFIED IDEOGRAPH-82B8
+        ord(",")
+    ]
+    with self.cached_session():
+      input_vector = constant_op.constant(inputs, dtypes.int32)
+      outputs = string_ops.unicode_script(input_vector).eval()
+      self.assertAllEqual(
+          outputs,
+          [
+              25,  # USCRIPT_LATIN (LATN)
+              8,  # USCRIPT_CYRILLIC (CYRL)
+              17,  # USCRIPT_HAN (HANI)
+              0  # USCRIPT_COMMON (ZYYY)
+          ])
+
+  def testInvalidScript(self):
+    inputs = [-100, 0xffffff]
+    with self.cached_session():
+      input_vector = constant_op.constant(inputs, dtypes.int32)
+      outputs = string_ops.unicode_script(input_vector).eval()
+      self.assertAllEqual(outputs, [-1, -1])
+
+
+if __name__ == "__main__":
+  test.main()