def test_label_field_can_index_with_vocab(self):
        vocab = Vocabulary()
        vocab.add_token_to_namespace("entailment", namespace="labels")
        vocab.add_token_to_namespace("contradiction", namespace="labels")
        vocab.add_token_to_namespace("neutral", namespace="labels")

        label = LabelField("entailment")
        label.index(vocab)
        tensor = label.as_tensor(label.get_padding_lengths()).data.cpu().numpy()
        numpy.testing.assert_array_almost_equal(tensor, numpy.array([0]))
    def test_label_field_can_index_with_vocab(self):
        vocab = Vocabulary()
        vocab.add_token_to_namespace("entailment", namespace="labels")
        vocab.add_token_to_namespace("contradiction", namespace="labels")
        vocab.add_token_to_namespace("neutral", namespace="labels")

        label = LabelField("entailment")
        label.index(vocab)
        tensor = label.as_tensor(label.get_padding_lengths())
        assert tensor.item() == 0
예제 #3
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    def test_label_field_can_index_with_vocab(self):
        vocab = Vocabulary()
        vocab.add_token_to_namespace("entailment", namespace="labels")
        vocab.add_token_to_namespace("contradiction", namespace="labels")
        vocab.add_token_to_namespace("neutral", namespace="labels")

        label = LabelField("entailment")
        label.index(vocab)
        tensor = label.as_tensor(label.get_padding_lengths())
        assert tensor.item() == 0
 def test_as_tensor_returns_integer_tensor(self):
     label = LabelField(5, skip_indexing=True)
     tensor = label.as_tensor(label.get_padding_lengths()).data.cpu().numpy()
     numpy.testing.assert_array_almost_equal(tensor, numpy.array([5]))
    def test_as_tensor_returns_integer_tensor(self):
        label = LabelField(5, skip_indexing=True)

        tensor = label.as_tensor(label.get_padding_lengths())
        assert tensor.item() == 5
예제 #6
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    def test_as_tensor_returns_integer_tensor(self):
        label = LabelField(5, skip_indexing=True)

        tensor = label.as_tensor(label.get_padding_lengths())
        assert tensor.item() == 5