def test_log(self):
"""Test that Log can be invoked."""
value = np.random.uniform(size=(2, 3)).astype(np.float32)
with self.test_session() as sess:
result = Log()(value).eval()
assert np.array_equal(np.log(value), result)
assert np.all(np.isclose(np.log(value), result, atol=0.001))
def test_Log_pickle(): tg = TensorGraph() feature = Feature(shape=(tg.batch_size, 1)) layer = Log(feature) tg.add_output(layer) tg.set_loss(layer) tg.build() tg.save()