tf.contrib.graph_editor.get_within_boundary_ops(ops, seed_ops, boundary_ops=(), inclusive=True, control_inputs=False, control_outputs=None, control_ios=None)

tf.contrib.graph_editor.get_within_boundary_ops(ops, seed_ops, boundary_ops=(), inclusive=True, control_inputs=False, control_outputs=None, control_ios=None)

See the guide: Graph Editor (contrib) > Module: select

Return all the tf.Operation within the given boundary.

Args:

  • 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. Returns: All the tf.Operation surrounding the given ops. Raises:
  • TypeError: if ops or seed_ops cannot be converted to a list of tf.Operation.
  • ValueError: if the boundary is intersecting with the seeds.

Defined in tensorflow/contrib/graph_editor/select.py.