xref: /aosp_15_r20/external/tensorflow/tensorflow/python/eager/gen_gradient_input_output_exclusions.py (revision b6fb3261f9314811a0f4371741dbb8839866f948)
1# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7#     http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14r"""Script to generate inputs/outputs exclusion lists for GradientTape.
15
16To use this script:
17
18bazel run tensorflow/python/eager:gen_gradient_input_output_exclusions -- \
19  $PWD/tensorflow/python/eager/pywrap_gradient_exclusions.cc
20"""
21
22import argparse
23
24from tensorflow.python.eager import gradient_input_output_exclusions
25
26
27def main(output_file):
28  with open(output_file, "w") as fp:
29    fp.write(gradient_input_output_exclusions.get_contents())
30
31
32if __name__ == "__main__":
33  arg_parser = argparse.ArgumentParser()
34  arg_parser.add_argument("output", metavar="O", type=str, help="Output file.")
35  args = arg_parser.parse_args()
36  main(args.output)
37