text: # Copyright 2015 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.
  # ==============================================================================
  
  """Classes and functions used to construct graphs."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensorflow.python.framework import ops
  
  
  __all__ = ['get_graph_from_inputs']
  
  
  def get_graph_from_inputs(op_input_list, graph=None):
    """Returns the appropriate graph to use for the given inputs.
  
    1. If `graph` is provided, we validate that all inputs in `op_input_list` are
       from the same graph.
    2. Otherwise, we attempt to select a graph from the first Operation- or
       Tensor-valued input in `op_input_list`, and validate that all other
       such inputs are in the same graph.
    3. If the graph was not specified and it could not be inferred from
       `op_input_list`, we attempt to use the default graph.
  
    Args:
      op_input_list: A list of inputs to an operation, which may include `Output`,
        `Operation`, and other objects that may be converted to a graph element.
      graph: (Optional) The explicit graph to use.
  
    Raises:
      TypeError: If `op_input_list` is not a list or tuple, or if graph is not a
        Graph.
      ValueError: If a graph is explicitly passed and not all inputs are from it,
        or if the inputs are from multiple graphs, or we could not find a graph
        and there was no default graph.
  
    Returns:
      The appropriate graph to use for the given inputs.
    """
    # pylint: disable=protected-access
    return ops._get_graph_from_inputs(op_input_list, graph)
  