46 lines
1.6 KiB
Python
46 lines
1.6 KiB
Python
# Copyright 2020 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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r"""Randomize all weights in a tflite file."""
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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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from tensorflow.lite.tools import flatbuffer_utils
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FLAGS = flags.FLAGS
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flags.DEFINE_string('input_tflite_file', None,
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'Full path name to the input TFLite file.')
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flags.DEFINE_string('output_tflite_file', None,
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'Full path name to the output randomized TFLite file.')
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flags.DEFINE_integer('random_seed', 0, 'Input to the random number generator.')
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flags.mark_flag_as_required('input_tflite_file')
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flags.mark_flag_as_required('output_tflite_file')
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def main(_):
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model = flatbuffer_utils.read_model(FLAGS.input_tflite_file)
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flatbuffer_utils.randomize_weights(model, FLAGS.random_seed)
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flatbuffer_utils.write_model(model, FLAGS.output_tflite_file)
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if __name__ == '__main__':
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app.run(main)
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