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"""Networks are combinations of `tf.keras` layers (and possibly other networks).

They are `tf.keras` models that would not be trained alone. It encapsulates
common network structures like a transformer encoder into an easily
handled object with a standardized configuration.
"""
from official.nlp.modeling.networks.albert_encoder import AlbertEncoder
from official.nlp.modeling.networks.bert_encoder import BertEncoder
from official.nlp.modeling.networks.bert_encoder import BertEncoderV2
from official.nlp.modeling.networks.classification import Classification
from official.nlp.modeling.networks.encoder_scaffold import EncoderScaffold
from official.nlp.modeling.networks.fnet import FNet
from official.nlp.modeling.networks.funnel_transformer import FunnelTransformerEncoder
from official.nlp.modeling.networks.mobile_bert_encoder import MobileBERTEncoder
from official.nlp.modeling.networks.packed_sequence_embedding import PackedSequenceEmbedding
from official.nlp.modeling.networks.span_labeling import SpanLabeling
from official.nlp.modeling.networks.span_labeling import XLNetSpanLabeling
from official.nlp.modeling.networks.sparse_mixer import SparseMixer
from official.nlp.modeling.networks.xlnet_base import XLNetBase
