275f64eacf5787fd8c09592fa4ce18d0d14c6861,test/test_models.py,TestModel,embeddings_forward,#TestModel#Any#Any#Any#,116

Before Change

            bsize: Batchsize of generated input
        """
        vocab = self.get_vocab()
        emb = onmt.Models.Embeddings(opt, vocab)
        test_src, _, __ = self.get_batch(sourceL=sourceL,
                                         bsize=bsize)
        if opt.decoder_layer == "transformer":
            input = torch.cat([test_src, test_src], 0)

After Change

            bsize: Batchsize of generated input
        """
        vocab = self.get_vocab()
        emb = onmt.Models.Embeddings(
            vocab, None,
            opt.word_vec_size, opt.pre_word_vecs_enc, opt.fix_word_vecs_enc,
            opt.feat_merge, opt.feat_vec_size, opt.feat_vec_exponent,
            opt.position_encoding, opt.gpus, opt.dropout)
        test_src, _, __ = self.get_batch(sourceL=sourceL,
                                         bsize=bsize)
        if opt.decoder_layer == "transformer":
            input = torch.cat([test_src, test_src], 0)

Instances