# 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.
"""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import argparse
import sys

from tensorflow.python import pywrap_tensorflow as tf_wrap
from tensorflow.python.platform import app


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)