# Copyright 2023 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """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