diff options
Diffstat (limited to 'tensorflow/python/kernel_tests/cwise_ops_test.py')
| -rw-r--r-- | tensorflow/python/kernel_tests/cwise_ops_test.py | 27 |
1 files changed, 27 insertions, 0 deletions
diff --git a/tensorflow/python/kernel_tests/cwise_ops_test.py b/tensorflow/python/kernel_tests/cwise_ops_test.py index cd0d33ecf3..0846470abc 100644 --- a/tensorflow/python/kernel_tests/cwise_ops_test.py +++ b/tensorflow/python/kernel_tests/cwise_ops_test.py @@ -615,6 +615,13 @@ class BinaryOpTest(test.TestCase): self._compareBoth(x, y, np.multiply, _MUL) self._compareBoth(x, y + 0.1, np.true_divide, _TRUEDIV) self._compareBoth(x, y + 0.1, np.floor_divide, _FLOORDIV) + self._compareBoth(x, y, np.arctan2, math_ops.atan2) + x1 = np.random.randn(5, 6).astype(np.float32) + x2 = np.random.randn(5, 6).astype(np.float32) + # Remove tiny values--atan2 gradients are flaky near the origin. + x1[np.abs(x1) < 0.05] = 0.05 * np.sign(x1[np.abs(x1) < 0.05]) + x2[np.abs(x2) < 0.05] = 0.05 * np.sign(x2[np.abs(x2) < 0.05]) + self._compareBoth(x1, x2, np.arctan2, math_ops.atan2) try: from scipy import special # pylint: disable=g-import-not-at-top a_pos_small = np.linspace(0.1, 2, 15).reshape(1, 3, 5).astype(np.float32) @@ -672,6 +679,13 @@ class BinaryOpTest(test.TestCase): self._compareBoth(x, y, np.multiply, _MUL) self._compareBoth(x, y + 0.1, np.true_divide, _TRUEDIV) self._compareBoth(x, y + 0.1, np.floor_divide, _FLOORDIV) + self._compareBoth(x, y, np.arctan2, math_ops.atan2) + x1 = np.random.randn(7, 4).astype(np.float64) + x2 = np.random.randn(7, 4).astype(np.float64) + # Remove tiny values--atan2 gradients are flaky near the origin. + x1[np.abs(x1) < 0.5] = 0.5 * np.sign(x1[np.abs(x1) < 0.5]) + x2[np.abs(x2) < 0.5] = 0.5 * np.sign(x2[np.abs(x2) < 0.5]) + self._compareBoth(x1, x2, np.arctan2, math_ops.atan2) try: from scipy import special # pylint: disable=g-import-not-at-top a_pos_small = np.linspace(0.1, 2, 15).reshape(1, 3, 5).astype(np.float32) @@ -1090,6 +1104,19 @@ class BinaryOpTest(test.TestCase): error = gradient_checker.compute_gradient_error(y, [], z, []) self.assertLess(error, 2e-4) + def testAtan2SpecialValues(self): + x1l, x2l = zip((+0.0, +0.0), (+0.0, -0.0), (-0.0, +0.0), (-0.0, -0.0), + (1.2345, float("inf")), (1.2345, -float("inf")), + (-4.321, float("inf")), (-4.125, -float("inf")), + (float("inf"), float("inf")), (float("inf"), -float("inf")), + (-float("inf"), float("inf")), (-float("inf"), + -float("inf"))) + for dtype in np.float32, np.float64: + x1 = np.array(x1l).astype(dtype) + x2 = np.array(x2l).astype(dtype) + self._compareCpu(x1, x2, np.arctan2, math_ops.atan2) + self._compareGpu(x1, x2, np.arctan2, math_ops.atan2) + class ComparisonOpTest(test.TestCase): |