예제 #1
0
 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.CrossEntropyLoss()
     self.assertEqual('CrossEntropyLoss_in3', str(layer))
     layer = tl.CrossEntropySum()
     self.assertEqual('CrossEntropySum_in3', str(layer))
예제 #2
0
 def test_names(self):
     layer = tl.L2Loss()
     self.assertEqual('L2Loss_in3', str(layer))
     layer = tl.BinaryClassifier()
     self.assertEqual('BinaryClassifier', str(layer))
     layer = tl.MulticlassClassifier()
     self.assertEqual('MulticlassClassifier', 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))