1e05cf469de2a71529d5f6ce922a37e0a386c987,batchflow/models/tf/encoder_decoder.py,EncoderDecoder,body,#Any#Any#Any#,137

Before Change

        kwargs = cls.fill_params("body", **kwargs)
        encoder = kwargs.pop("encoder")
        embeddings = kwargs.get("embeddings")
        embeddings_common = embeddings.pop("common")
        embeddings_order = embeddings.pop("order") or [name for name in kwargs
                                                       if "embedding" in name]
        decoder = kwargs.pop("decoder")

After Change

            for i, embedding in enumerate(embeddings):
                embedding_args = {**kwargs, **embedding}
                x = cls.embedding(x, name="embedding"+str(i), **embedding_args)

            encoder_outputs.append(x)

Instances