tf.contrib.graph_editor.detach(sgv, control_inputs=False, control_outputs=None, control_ios=None)

tf.contrib.graph_editor.detach(sgv, control_inputs=False, control_outputs=None, control_ios=None)

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

Detach both the inputs and the outputs of a subgraph view.

Args:

  • sgv: the subgraph view to be detached. This argument is converted to a subgraph using the same rules as the function subgraph.make_view. Note that sgv is modified in place.
  • 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: A tuple (sgv, detached_inputs, detached_outputs) where: sgv is a new subgraph view of the detached subgraph; detach_inputs is a list of the created input placeholders; detach_outputs is a list of the created output placeholders. Raises:
  • StandardError: if sgv cannot be converted to a SubGraphView using the same rules than the function subgraph.make_view.

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