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# Lint as: python3
# Copyright 2020 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.
# ==============================================================================
"""Common utils for tasks."""
import tensorflow as tf
import tensorflow_hub as hub
def get_encoder_from_hub(hub_module: str) -> tf.keras.Model:
"""Gets an encoder from hub."""
input_word_ids = tf.keras.layers.Input(
shape=(None,), dtype=tf.int32, name='input_word_ids')
input_mask = tf.keras.layers.Input(
shape=(None,), dtype=tf.int32, name='input_mask')
input_type_ids = tf.keras.layers.Input(
shape=(None,), dtype=tf.int32, name='input_type_ids')
hub_layer = hub.KerasLayer(hub_module, trainable=True)
pooled_output, sequence_output = hub_layer(
[input_word_ids, input_mask, input_type_ids])
return tf.keras.Model(
inputs=[input_word_ids, input_mask, input_type_ids],
outputs=[sequence_output, pooled_output])
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