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# 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.
# ==============================================================================
r"""Randomize all weights in a tflite file.
Example usage:
python randomize_weights.py \
--input_tflite_file=foo.tflite \
--output_tflite_file=foo_randomized.tflite
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import sys
from tensorflow.lite.tools import flatbuffer_utils
from tensorflow.python.platform import app
def main(_):
parser = argparse.ArgumentParser(
description='Randomize weights in a tflite file.')
parser.add_argument(
'--input_tflite_file',
type=str,
required=True,
help='Full path name to the input tflite file.')
parser.add_argument(
'--output_tflite_file',
type=str,
required=True,
help='Full path name to the output randomized tflite file.')
parser.add_argument(
'--random_seed',
type=str,
required=False,
default=0,
help='Input to the random number generator. The default value is 0.')
args = parser.parse_args()
# Read the model
model = flatbuffer_utils.read_model(args.input_tflite_file)
# Invoke the randomize weights function
flatbuffer_utils.randomize_weights(model, args.random_seed)
# Write the model
flatbuffer_utils.write_model(model, args.output_tflite_file)
if __name__ == '__main__':
app.run(main=main, argv=sys.argv[:1])
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