def init_embeddings(self, hparams, scope): """Init embeddings.""" self.embedding_encoder = model_helper.create_emb_for_encoder_and_decoder( vocab_size=hparams.vocab_size, embed_size=hparams.num_units, scope=scope, )
def init_embeddings(self, hparams, scope): """Init embeddings.""" self.embedding_decoder = ( model_helper.create_emb_for_encoder_and_decoder( tgt_vocab_size=self.tgt_vocab_size, tgt_embed_size=hparams.num_units, num_partitions=hparams.num_embeddings_partitions, scope=scope))
def init_embeddings(self, hparams): self.embedding_encoder, self.embedding_decoder = ( model_helper.create_emb_for_encoder_and_decoder( share_vocab=hparams.share_vocab, src_vocab_size=self.src_vocab_size, tgt_vocab_size=self.tgt_vocab_size, src_embed_size=hparams.num_units, tgt_embed_size=hparams.num_units, src_vocab_file=hparams.src_vocab_file, tgt_vocab_file=hparams.tgt_vocab_file, src_embed_file=hparams.src_embed_file, tgt_embed_file=hparams.tgt_embed_file))
def init_embeddings(self, hparams, scope): """Init embeddings.""" self.embedding_encoder, self.embedding_decoder = ( model_helper.create_emb_for_encoder_and_decoder( share_vocab=hparams.share_vocab, src_vocab_size=self.src_vocab_size, tgt_vocab_size=self.tgt_vocab_size, src_embed_size=hparams.num_units if hparams.num_proj is None else hparams.num_proj, tgt_embed_size=hparams.num_units if hparams.num_proj is None else hparams.num_proj, num_partitions=hparams.num_embeddings_partitions, scope=scope, ))
def init_embeddings(self, hparams): """Init embeddings.""" self.embedding_encoder, self.embedding_decoder = ( model_helper.create_emb_for_encoder_and_decoder( src_vocab_size=self.src_vocab_size, tgt_vocab_size=self.tgt_vocab_size, src_embed_size=self.num_units, tgt_embed_size=self.num_units, num_enc_partitions=hparams.num_enc_emb_partitions, num_dec_partitions=hparams.num_dec_emb_partitions, src_vocab_file=hparams.src_vocab_file, tgt_vocab_file=hparams.tgt_vocab_file, src_embed_file=hparams.src_embed_file, tgt_embed_file=hparams.tgt_embed_file, ))
def init_embeddings(self, hparams, scope): """Init embeddings.""" self.embedding_encoder, self.embedding_decoder = ( model_helper.create_emb_for_encoder_and_decoder( share_vocab=hparams.share_vocab, src_vocab_size=self.src_vocab_size, tgt_vocab_size=self.tgt_vocab_size, src_embed_size=self.num_units, tgt_embed_size=self.num_units, dtype=self.dtype, num_enc_partitions=hparams.num_enc_emb_partitions, num_dec_partitions=hparams.num_dec_emb_partitions, src_vocab_file=hparams.src_vocab_file, tgt_vocab_file=hparams.tgt_vocab_file, src_embed_file=hparams.src_embed_file, tgt_embed_file=hparams.tgt_embed_file, use_char_encode=hparams.use_char_encode, scope=scope, ))