49 lines
1.6 KiB
Python
49 lines
1.6 KiB
Python
#! /usr/bin/python
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# -*- coding: utf-8 -*-
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# Copyright 2016 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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import os
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import argparse
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import logging
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import tensorflow as tf
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# Pass the filename as an argument
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--frozen_model_filename", default="/path-to-pb-file/Binary_Protobuf.pb", type=str, help="Pb model file to import"
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)
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parser.add_argument(
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"--output_filename", default="/path-to-ckpt-file/model.ckpt", type=str, help="Pb model file to import"
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)
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args = parser.parse_args()
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if __name__ == "__main__":
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logging.disable(logging.WARNING)
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os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
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with tf.compat.v1.Session(graph=tf.Graph()) as sess:
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tf.compat.v1.saved_model.loader.load(sess, [tf.saved_model.SERVING], args.frozen_model_filename)
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saver = tf.compat.v1.train.Saver()
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save_path = saver.save(sess, args.output_filename)
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print("Model saved to ckpt format")
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