text: # Copyright 2017 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.
  # =============================================================================
  """Provides a proper python API for the symbols exported through swig."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from tensorflow.python import _pywrap_model_analyzer as tf_wrap
  
  
  def GenerateModelReport(metagraph, assume_valid_feeds=True, debug=False):
    """Report what's known statically about each node in the provided metagraph.
  
    Args:
      metagraph: A TensorFlow MetaGraphDef.
      assume_valid_feeds: If True, assume that the shape of the fed nodes is valid
      debug: Add some information useful for debugging.
  
    Returns:
      A string containing the report.
    """
    return tf_wrap.GenerateModelReport(
        metagraph.SerializeToString(), assume_valid_feeds, debug)
  