tf.import_graph_def

tf.import_graph_def(
    graph_def,
    input_map=None,
    return_elements=None,
    name=None,
    op_dict=None,
    producer_op_list=None
)

Defined in tensorflow/python/framework/importer.py.

See the guide: Building Graphs > Utility functions

Imports the graph from graph_def into the current default Graph. (deprecated arguments)

SOME ARGUMENTS ARE DEPRECATED. They will be removed in a future version. Instructions for updating: Please file an issue at https://github.com/tensorflow/tensorflow/issues if you depend on this feature.

This function provides a way to import a serialized TensorFlow GraphDef protocol buffer, and extract individual objects in the GraphDef as tf.Tensor and tf.Operation objects. Once extracted, these objects are placed into the current default Graph. See tf.Graph.as_graph_def for a way to create a GraphDef proto.

Args:

  • graph_def: A GraphDef proto containing operations to be imported into the default graph.
  • input_map: A dictionary mapping input names (as strings) in graph_def to Tensor objects. The values of the named input tensors in the imported graph will be re-mapped to the respective Tensor values.
  • return_elements: A list of strings containing operation names in graph_def that will be returned as Operation objects; and/or tensor names in graph_def that will be returned as Tensor objects.
  • name: (Optional.) A prefix that will be prepended to the names in graph_def. Note that this does not apply to imported function names. Defaults to "import".
  • op_dict: (Optional.) Deprecated, do not use.
  • producer_op_list: (Optional.) An OpList proto with the (possibly stripped) list of OpDefs used by the producer of the graph. If provided, unrecognized attrs for ops in graph_def that have their default value according to producer_op_list will be removed. This will allow some more GraphDefs produced by later binaries to be accepted by earlier binaries.

Returns:

A list of Operation and/or Tensor objects from the imported graph, corresponding to the names in return_elements.

Raises:

  • TypeError: If graph_def is not a GraphDef proto, input_map is not a dictionary mapping strings to Tensor objects, or return_elements is not a list of strings.
  • ValueError: If input_map, or return_elements contains names that do not appear in graph_def, or graph_def is not well-formed (e.g. it refers to an unknown tensor).