diff options
| author |  Benoit Steiner <bsteiner@google.com> | 2016-09-13 10:02:28 -0800 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2016-09-13 11:17:59 -0700 |
| commit | d92ba3066e79258a3096ee72c105b4816f196425 (patch) | |
| tree | 3e158a958fc89534a7b9f4febf77c81579e7efe7 /tensorflow/python/kernel_tests/relu_op_test.py | |
| parent | df5ab111fff944adf19dd0ac3d007c798540ad45 (diff) | |
The Elu activation function supports all the number type (like the Relu and
Relu6 activations): made sure this is properly descibed in the op definition.
Change: 133020769
Diffstat (limited to 'tensorflow/python/kernel_tests/relu_op_test.py')
| -rw-r--r-- | tensorflow/python/kernel_tests/relu_op_test.py | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/tensorflow/python/kernel_tests/relu_op_test.py b/tensorflow/python/kernel_tests/relu_op_test.py index d12fd32fe2..b644f2a60a 100644 --- a/tensorflow/python/kernel_tests/relu_op_test.py +++ b/tensorflow/python/kernel_tests/relu_op_test.py @@ -43,11 +43,11 @@ class ReluTest(tf.test.TestCase): self.assertShapeEqual(np_relu, relu) def testNumbers(self): - for t in [np.int32, np.int64, np.float32, np.float64]: + for t in [np.int32, np.int64, np.float16, np.float32, np.float64]: self._testRelu( np.array([[-9, 7, -5, 3, -1], [1, -3, 5, -7, 9]]).astype(t), use_gpu=False) - if t in [np.float32, np.float64]: + if t in [np.float16, np.float32, np.float64]: self._testRelu( np.array([[-9, 7, -5, 3, -1], [1, -3, 5, -7, 9]]).astype(t), use_gpu=True) @@ -160,11 +160,11 @@ class Relu6Test(tf.test.TestCase): self.assertShapeEqual(np_relu6, relu6) def testNumbers(self): - for t in [np.int32, np.int64, np.float32, np.float64]: + for t in [np.int32, np.int64, np.float16, np.float32, np.float64]: self._testRelu6( np.array([[-9, 7, -5, 3, -1], [1, -3, 5, -7, 9]]).astype(t), use_gpu=False) - if t in [np.float, np.double]: + if t in [np.float16, np.float, np.double]: self._testRelu6( np.array([[-9, 7, -5, 3, -1], [1, -3, 5, -7, 9]]).astype(t), use_gpu=True) @@ -228,7 +228,7 @@ class EluTest(tf.test.TestCase): self.assertShapeEqual(np_elu, elu) def testNumbers(self): - for t in [np.float32, np.float64]: + for t in [np.float16, np.float32, np.float64]: self._testElu( np.array([[-9, 7, -5, 3, -1], [1, -3, 5, -7, 9]]).astype(t), use_gpu=False) |