1 files changed, 35 insertions, 0 deletions
diff --git a/tensorflow/models/rnn/linear_test.py b/tensorflow/models/rnn/linear_test.py
new file mode 100644
index 0000000000..93ef10144f
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+++ b/tensorflow/models/rnn/linear_test.py
@@ -0,0 +1,35 @@
+# pylint: disable=g-bad-import-order,unused-import
+import tensorflow.python.platform
+
+import numpy as np
+import tensorflow as tf
+
+from tensorflow.models.rnn import linear
+
+
+class LinearTest(tf.test.TestCase):
+
+  def testLinear(self):
+    with self.test_session() as sess:
+      with tf.variable_scope("root", initializer=tf.constant_initializer(1.0)):
+        x = tf.zeros([1, 2])
+        l = linear.linear([x], 2, False)
+        sess.run([tf.variables.initialize_all_variables()])
+        res = sess.run([l], {x.name: np.array([[1., 2.]])})
+        self.assertAllClose(res[0], [[3.0, 3.0]])
+
+        # Checks prevent you from accidentally creating a shared function.
+        with self.assertRaises(ValueError) as exc:
+          l1 = linear.linear([x], 2, False)
+        self.assertEqual(exc.exception.message[:12], "Over-sharing")
+
+        # But you can create a new one in a new scope and share the variables.
+        with tf.variable_scope("l1") as new_scope:
+          l1 = linear.linear([x], 2, False)
+        with tf.variable_scope(new_scope, reuse=True):
+          linear.linear([l1], 2, False)
+        self.assertEqual(len(tf.trainable_variables()), 2)
+
+
+if __name__ == "__main__":
+  tf.test.main()