Imports the graph from graph_def
into the current default Graph
. (deprecated arguments)
tf.graph_util.import_graph_def(
graph_def, input_map=None, return_elements=None, name=None, op_dict=None,
producer_op_list=None
)
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 OpDef s 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
GraphDef s 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 ,
and None if returns_elements is None.
|
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).
|