1 files changed, 86 insertions, 0 deletions
diff --git a/tensorflow/python/kernel_tests/tensor_priority_test.py b/tensorflow/python/kernel_tests/tensor_priority_test.py
new file mode 100644
index 0000000000..574538a837
--- /dev/null
+++ b/tensorflow/python/kernel_tests/tensor_priority_test.py
@@ -0,0 +1,86 @@
+# Copyright 2015 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 the binary ops priority mechanism."""
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import numpy as np
+
+from tensorflow.python.framework import ops
+from tensorflow.python.platform import test as test_lib
+
+
+class TensorPriorityTest(test_lib.TestCase):
+
+  def testSupportedRhsWithoutDelegation(self):
+
+    class NumpyArraySubclass(np.ndarray):
+      pass
+
+    supported_rhs_without_delegation = (3, 3.0, [1.0, 2.0], np.array(
+        [1.0, 2.0]), NumpyArraySubclass(
+            shape=(1, 2), buffer=np.array([1.0, 2.0])),
+                                        ops.convert_to_tensor([[1.0, 2.0]]))
+    for rhs in supported_rhs_without_delegation:
+      tensor = ops.convert_to_tensor([[10.0, 20.0]])
+      res = tensor + rhs
+      self.assertIsInstance(res, ops.Tensor)
+
+  def testUnsupportedRhsWithoutDelegation(self):
+
+    class WithoutReverseAdd(object):
+      pass
+
+    tensor = ops.convert_to_tensor([[10.0, 20.0]])
+    rhs = WithoutReverseAdd()
+    with self.assertRaisesWithPredicateMatch(
+        TypeError, lambda e: "Expected float" in str(e)):
+      # pylint: disable=pointless-statement
+      tensor + rhs
+
+  def testUnsupportedRhsWithDelegation(self):
+
+    class WithReverseAdd(object):
+
+      def __radd__(self, lhs):
+        return "Works!"
+
+    tensor = ops.convert_to_tensor([[10.0, 20.0]])
+    rhs = WithReverseAdd()
+    res = tensor + rhs
+    self.assertEqual(res, "Works!")
+
+  def testFullDelegationControlUsingRegistry(self):
+
+    class NumpyArraySubclass(np.ndarray):
+
+      def __radd__(self, lhs):
+        return "Works!"
+
+    def raise_to_delegate(value, dtype=None, name=None, as_ref=False):
+      del value, dtype, name, as_ref  # Unused.
+      raise TypeError
+
+    ops.register_tensor_conversion_function(
+        NumpyArraySubclass, raise_to_delegate, priority=0)
+    tensor = ops.convert_to_tensor([[10.0, 20.0]])
+    rhs = NumpyArraySubclass(shape=(1, 2), buffer=np.array([1.0, 2.0]))
+    res = tensor + rhs
+    self.assertEqual(res, "Works!")
+
+
+if __name__ == "__main__":
+  test_lib.main()