tf.contrib.graph_editor.get_within_boundary_ops(
ops,
seed_ops,
boundary_ops=(),
inclusive=True,
control_inputs=False,
control_outputs=None,
control_ios=None
)
Defined in tensorflow/contrib/graph_editor/select.py.
See the guide: Graph Editor (contrib) > Module: select
Return all the tf.Operation within the given boundary.
ops: an object convertible to a list of tf.Operation. those ops define the set in which to perform the operation (if a tf.Graph is given, it will be converted to the list of all its operations).seed_ops: the operations from which to start expanding.boundary_ops: the ops forming the boundary.inclusive: if True, the result will also include the boundary ops.control_inputs: A boolean indicating whether control inputs are enabled.control_outputs: An instance of util.ControlOutputs or None. If not None, control outputs are enabled.control_ios: An instance of util.ControlOutputs or None. If not None, both control inputs and control outputs are enabled. This is equivalent to set control_inputs to True and control_outputs to the util.ControlOutputs instance.All the tf.Operation surrounding the given ops.
TypeError: if ops or seed_ops cannot be converted to a list of tf.Operation.ValueError: if the boundary is intersecting with the seeds.
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/graph_editor/get_within_boundary_ops