bc1351d47d9fe83bc6c7830a8563ddb874953ed4,onmt/model_builder.py,,build_base_model,#Any#Any#Any#Any#,165

Before Change

    // Build decoder.
    feat_fields = [fields[k]
                   for k in inputters.collect_features(fields, "tgt")]
    tgt_emb = build_embeddings(
        model_opt, fields["tgt"], feat_fields, for_encoder=False)

After Change

    // Build encoder.
    if model_opt.model_type == "text":
        src_fields = [f for n, f in fields["src"]]
        src_emb = build_embeddings(model_opt, src_fields[0], src_fields[1:])
        encoder = build_encoder(model_opt, src_emb)
    elif model_opt.model_type == "img":

Instances