# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Load and use RNN model stored as a SavedModel."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from absl import app
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from absl import flags
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import tensorflow.compat.v2 as tf
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FLAGS = flags.FLAGS
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flags.DEFINE_string("model_dir", None, "Directory to load SavedModel from.")
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def main(argv):
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del argv
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sentences = [
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"<S> sentence <E>", "<S> second sentence <E>", "<S> third sentence<E>"
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]
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model = tf.saved_model.load(FLAGS.model_dir)
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model.train(tf.constant(sentences))
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decoded = model.decode_greedy(
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sequence_length=10, first_word=tf.constant("<S>"))
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_ = [d.numpy() for d in decoded]
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if __name__ == "__main__":
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tf.enable_v2_behavior()
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app.run(main)
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