1 files changed, 68 insertions, 0 deletions
diff --git a/tensorflow/python/ops/math_ops_test.py b/tensorflow/python/ops/math_ops_test.py
new file mode 100644
index 0000000000..86ea04f54d
--- /dev/null
+++ b/tensorflow/python/ops/math_ops_test.py
@@ -0,0 +1,68 @@
+"""Tests for tensorflow.ops.math_ops."""
+import math
+
+import tensorflow.python.platform
+
+import numpy as np
+
+from tensorflow.python.framework import test_util
+from tensorflow.python.ops import constant_op
+from tensorflow.python.ops import math_ops
+from tensorflow.python.platform import googletest
+
+exp = math.exp
+log = math.log
+
+class ReduceTest(test_util.TensorFlowTestCase):
+
+  def testReduceAllDims(self):
+    x = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.int32)
+    with self.test_session():
+      y_tf = math_ops.reduce_sum(x).eval()
+      self.assertEqual(y_tf, 21)
+
+class RoundTest(test_util.TensorFlowTestCase):
+
+  def testRounding(self):
+    x = [0.49, 0.7, -0.3, -0.8]
+    for dtype in [np.float32, np.double]:
+      x_np = np.array(x, dtype=dtype)
+      for use_gpu in [True, False]:
+        with self.test_session(use_gpu=use_gpu):
+          x_tf = constant_op.constant(x_np, shape=x_np.shape)
+          y_tf = math_ops.round(x_tf)
+          y_tf_np = y_tf.eval()
+          y_np = np.round(x_np)
+          self.assertAllClose(y_tf_np, y_np, atol=1e-2)
+
+
+class ModTest(test_util.TensorFlowTestCase):
+
+  def testFloat(self):
+    x = [0.5, 0.7, 0.3]
+    for dtype in [np.float32, np.double]:
+      # Test scalar and vector versions.
+      for denom in [x[0], [x[0]] * 3]:
+        x_np = np.array(x, dtype=dtype)
+        with self.test_session():
+          x_tf = constant_op.constant(x_np, shape=x_np.shape)
+          y_tf = math_ops.mod(x_tf, denom)
+          y_tf_np = y_tf.eval()
+          y_np = np.fmod(x_np, denom)
+        self.assertAllClose(y_tf_np, y_np, atol=1e-2)
+
+  def testFixed(self):
+    x = [5, 10, 23]
+    for dtype in [np.int32, np.int64]:
+      # Test scalar and vector versions.
+      for denom in [x[0], x]:
+        x_np = np.array(x, dtype=dtype)
+        with self.test_session():
+          x_tf = constant_op.constant(x_np, shape=x_np.shape)
+          y_tf = math_ops.mod(x_tf, denom)
+          y_tf_np = y_tf.eval()
+          y_np = np.mod(x_np, denom)
+        self.assertAllClose(y_tf_np, y_np)
+
+if __name__ == "__main__":
+  googletest.main()