f255b7f90185f4bb38f23ad2499361443177fdd6,test/test_models.py,TestModel,encoder_forward,#TestModel#Any#Any#Any#,67

Before Change

        """
        vocab = self.get_vocab()
        feats_padding_idx = []
        embeddings = make_embeddings(opt, vocab.stoi[onmt.IO.PAD_WORD],
                                     feats_padding_idx, len(vocab),
                                     for_encoder=True)
        enc = make_encoder(opt, embeddings)

        test_src, test_tgt, test_length = self.get_batch(sourceL=sourceL,
                                                         bsize=bsize)

After Change

            sourceL: Length of generated input sentence
            bsize: Batchsize of generated input
        """
        word_dict = self.get_vocab()
        feature_dicts = []
        embeddings = make_embeddings(opt, word_dict, feature_dicts)
        enc = make_encoder(opt, embeddings)

        test_src, test_tgt, test_length = self.get_batch(sourceL=sourceL,
                                                         bsize=bsize)

Instances