def test_binary_cross_entropy_loss(self):
# TODO(jonni): Clarify desired semantics/naming, then test it.
layer = tl.BinaryCrossEntropyLoss()
xs = [np.ones((9, 1)),
np.ones((9, 1)),
np.ones((9, 1))]
y = layer(xs)
self.assertEqual(y.shape, ())
def test_names(self):
layer = tl.L2Loss()
self.assertEqual('L2Loss_in3', str(layer))
layer = tl.Accuracy()
self.assertEqual('Accuracy_in3', str(layer))
layer = tl.SequenceAccuracy()
self.assertEqual('SequenceAccuracy_in3', str(layer))
layer = tl.BinaryCrossEntropyLoss()
self.assertEqual('BinaryCrossEntropyLoss_in3', str(layer))
layer = tl.CrossEntropyLoss()
self.assertEqual('CrossEntropyLoss_in3', str(layer))
layer = tl.BinaryCrossEntropySum()
self.assertEqual('BinaryCrossEntropySum_in3', str(layer))
layer = tl.CrossEntropySum()
self.assertEqual('CrossEntropySum_in3', str(layer))
def test_binary_cross_entropy_loss(self):
layer = tl.BinaryCrossEntropyLoss()
xs = [np.ones((9, 1)), np.ones((9, 1)), np.ones((9, 1))]
y = layer(xs)
self.assertEqual(y.shape, ())