test=test,
correctness_function=self.default_correctness_function)
def test_uniform_random(self):
self._uniform_random_ops(test=True)
def test_tensor_name_error(self):
with self.assertRaises(AssertionError):
self._uniform_random_ops(test=True, wrong_name=True)
@unittest.skipIf(keras_utils.is_v2_0(),
"TODO:(b/136010138) Fails on TF 2.0.")
def test_tensor_shape_error(self):
with self.assertRaises(AssertionError):
self._uniform_random_ops(test=True, wrong_shape=True)
def test_incorrectness_function(self):
with self.assertRaises(AssertionError):
self._uniform_random_ops(test=True, bad_function=True)
def test_dense(self):
self._dense_ops(test=True)
def regenerate(self):
self._uniform_random_ops(test=False)
self._dense_ops(test=False)
if __name__ == "__main__":
reference_data.main(argv=sys.argv, test_class=GoldenBaseTest)
def test_tensor_name_error(self):
with self.assertRaises(AssertionError):
self._uniform_random_ops(test=True, wrong_name=True)
def test_tensor_shape_error(self):
with self.assertRaises(AssertionError):
self._uniform_random_ops(test=True, wrong_shape=True)
@unittest.skipIf(sys.version_info[0] == 2,
"catch_warning doesn't catch tf.logging.warn in py 2.")
def test_bad_seed(self):
with warnings.catch_warnings(record=True) as warn_catch:
self._uniform_random_ops(test=True, bad_seed=True)
assert len(warn_catch) == 1, "Test did not warn of minor graph change."
def test_incorrectness_function(self):
with self.assertRaises(AssertionError):
self._uniform_random_ops(test=True, bad_function=True)
def test_dense(self):
self._dense_ops(test=True)
def regenerate(self):
self._uniform_random_ops(test=False)
self._dense_ops(test=False)
if __name__ == "__main__":
reference_data.main(argv=sys.argv, test_class=GoldenBaseTest)