# Copyright 2018 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.
# =============================================================================
"""A tool that finds all subgraphs of a given size in a TF graph.

The subgraph patterns are sorted by occurrence, and only the transitive fanin
part of the graph with regard to the fetch nodes is considered.
"""

import argparse
import sys

from absl import app

from tensorflow.python.grappler import _pywrap_graph_analyzer as tf_wrap


def main(_):
  tf_wrap.GraphAnalyzer(FLAGS.input, FLAGS.n)


if __name__ == "__main__":
  parser = argparse.ArgumentParser()
  parser.add_argument(
      "--input",
      type=str,
      default=None,
      help="Input file path for a TensorFlow MetaGraphDef.")
  parser.add_argument(
      "--n", type=int, default=None, help="The size of the subgraphs.")
  FLAGS, unparsed = parser.parse_known_args()
  app.run(main=main, argv=[sys.argv[0]] + unparsed)