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tf.contrib.graph_editor.get_within_boundary_ops

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.

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.

© 2018 The TensorFlow Authors. All rights reserved.
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