1 files changed, 71 insertions, 0 deletions
diff --git a/tensorflow/python/kernel_tests/trace_op_test.py b/tensorflow/python/kernel_tests/trace_op_test.py
new file mode 100644
index 0000000000..1263252bad
--- /dev/null
+++ b/tensorflow/python/kernel_tests/trace_op_test.py
@@ -0,0 +1,71 @@
+# Copyright 2015 Google Inc. 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.
+# ==============================================================================
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import numpy
+import tensorflow as tf
+
+
+class TraceTest(tf.test.TestCase):
+
+  def setUp(self):
+    x = numpy.random.seed(0)
+
+  def traceOp(self, x, dtype, expected_ans, use_gpu=False):
+    with self.test_session(use_gpu=use_gpu):
+      tf_ans = tf.trace(x.astype(dtype))
+      out = tf_ans.eval()
+    self.assertAllClose(out, expected_ans)
+
+  def testEmptyTensor(self):
+    x = numpy.array([])
+    self.assertRaises(ValueError, self.traceOp, x, numpy.float32, 0)
+
+  def testRankOneTensor(self):
+    x = numpy.array([1,2,3])
+    self.assertRaises(ValueError, self.traceOp, x, numpy.float32, 0)
+
+  def testRankTwoIntTensor(self):
+    x = numpy.array(
+        [[1, 0, 0],
+         [0, 2, 0],
+         [0, 0, 3]])
+    expected_ans = 6
+    self.traceOp(x, numpy.int32, expected_ans)
+    self.traceOp(x, numpy.int64, expected_ans)
+
+  def testRankTwoFloatTensor(self):
+    x = numpy.array(
+        [[1.1, 0, 0],
+         [0, 2.2, 0],
+         [0, 0, 3.3]])
+    expected_ans = 6.6
+    self.traceOp(x, numpy.float32, expected_ans)
+    self.traceOp(x, numpy.float64, expected_ans)
+
+  def testRankThreeFloatTensor(self):
+    x = numpy.random.rand(2, 2, 2)
+    self.assertRaises(ValueError, self.traceOp, x, numpy.float32, 0)
+
+  def testRankFourFloatTensor(self):
+    x = numpy.random.rand(2, 2, 2, 2)
+    self.assertRaises(ValueError, self.traceOp, x, numpy.float32, 0)
+
+
+if __name__ == "__main__":
+  tf.test.main()