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,
))
